# scientific

PubKey: NHRE6357
DataType: Satellite
StudyType: Application
Category: History of Science
Description:
not sure if relevant - I don't have access to the book chapter, but it looks like a broad history/review


PubKey: BFUJQTBU
DataType: Satellite
StudyType: Application
Category: Glaciology
Description:
abstract doesn't provide much detail, but might be relevant based on time period - book chapter is behind a paywall. Melanie: book chapter chronicled the surface mass balance and thickness of the WHIS and WHIR, Ellesmere Island, Canada since the beginning of the twentieth century... no technical information


PubKey: WIYIX4ZU
DataType: Aerial
StudyType: Processing
Category: Methodology
Description: a short review of the basic steps of photogrammetric processing
Notes:
not interesting since analytical/manual processing; Still some quotes are good: self-calibration, benefit of archives, problems of archive images. Approach: BBA+selfCalib


PubKey: TNF98CDA
DataType: Aerial
StudyType: Application
Category: Geomorphology
Description:
ortho-rectification of historical aerial photography. ERDAS Imagine 2018. Assessing Shoreline Change


PubKey: GIMYYC9R
DataType: Aerial
StudyType: Application
Category: Geomorphology
Description:
ortho-rectification of historical aerial photography. quantify the spatiotemporal change of floodplain 


PubKey: S6IILLAR
DataType: Aerial
StudyType: Application
Category: Landuse/Landcover
Description:
"To assess terrain ages, we reconstructed past glacier extents using historical aerial imagery, topographical maps, and existing glacier inventories." - appears to be no other information.


PubKey: C4C55GF8
DataType: Satellite
StudyType: Application
Category: Volcanology
Description:
looks like an interesting paper, but the methods orthorectify using ASTER GDEM, rather than photogrammetric processing


PubKey: 8IDZABSN
DataType: Satellite
StudyType: Application
Category: Glaciology
Description: glacier changes from KH-9 and ASTER
Notes:
paper deals with glacial interpretation. Uses results of DoDs from Maurer & Rupper, 2015. Thus, interesting but not relevant for us


PubKey: K9S356AP
DataType: Aerial
StudyType: Application
Category: Landuse/Landcover
Description:
deep learning for the extraction of land cover from historical aerial panchromatic photographs of the African cities


PubKey: 7URK9PG2
DataType: Aerial
StudyType: Processing
Category: Urban Change
Description:
Automatic registration of historic air photos to present-day ortho maps, for mapping potential hazards from unexploded ordnance


PubKey: LHJ9M2T2
DataType: Aerial
StudyType: Application
Category: Glaciology
Description: glaciological and volumetric mass balance
Notes:
glaciological investigations based on photogrammetric reprocessing of aerial images given in Koblet (2010), all relevant photogrammetric information is given in the Koblet paper


PubKey: XYRENZKG
DataType: Aerial
StudyType: Both
Category: Geomorphology
Description:
comparison of classical photogrammetry and SfM and quantification of river and floodplain morphology


PubKey: 9SKMSD4Z
DataType: Aerial
StudyType: Both
Category: Geomorphology
Description:
Workflow open-source software (tested in River system), Dominican.Rep. images from 2000-2003; very bad accuracy (thus not relevant?)


PubKey: 69S6EE9C
DataType: Aerial
StudyType: Both
Category: Methodology
Description:
orientation and DSM and orthophoto mosaic of images from 1930s (originally flown for monitoring farming activities)


PubKey: T9UHGZVR
DataType: Mix
StudyType: Application
Category: Glaciology
Description:
glacier. NO informaiton about the processing. Use both satellite and aerial, but very minimal info about the data. For aerial the use the approach of Midgley and Tonkin (2017)


PubKey: MDM8SQRY
DataType: Aerial
StudyType: Application
Category: Glaciology
Description:
Glacier Mass Balance at El Morado Glacier / Central Andes (Chile) using multi-temporal archival aerial + terrestrial photography | multispectral satellite imagery | aerial + terrestrial LiDAR | satellite SAR


PubKey: 2DJYIF82
DataType: Aerial
StudyType: Both
Category: Glaciology
Description:
Antarctic Peninsula: 30.000 hist aerial imgs back to 1940: use for glacier height reconstruction over 60y period


PubKey: E9FLCYRK
DataType: Aerial
StudyType: Processing
Category: Methodology
Description:
Country wide (Swiss) orthorectification of historical images using aoutomatic workflow and GCPs collection


PubKey: BQWUAZPY
DataType: Aerial
StudyType: Application
Category: Forestry
Description:
sfm processing of air photos, texture analysis to study secondary succession (i.e. process of re-establishing the original community after a disturbance)


PubKey: F6IX3QIF
DataType: Aerial
StudyType: Application
Category: Glaciology
Description:
DEM processing of aerial images to detect glacial changes + uncertainity estimation of elevation change derived by differencing DEMs via geostatistical methods


PubKey: D54J7ZC4
DataType: Aerial
StudyType: Processing
Category: Geomorphology
Description:
Aerial photographs, 8 dates (1967-2012), to detect Alpine landscape changes in the Héréns Valley (CH)


PubKey: GD7U5PGI
DataType: Satellite
StudyType: Application
Category: Ecology
Description:
Detetc Marmot burrows and their spatial distribution using orthorectify corona images processed with agisoft


PubKey: 4ZVAVBQZ
DataType: Aerial
StudyType: Processing
Category: Methodology
Description:
Geostatistically-Based Approach for Improving Orthophoto Accuracy; Outcome from Photogrammetric point of view VERY QUESTIONABLE (e.g. ration nGCPs / area instead of nGCPs/nImages; no relation to orignial GSD)


PubKey: B9WB4IEJ
DataType: Aerial
StudyType: Both
Category: Landuse/Landcover
Description:
Orthomosaic extraction using Direct Linear Transform implementation to run as GIS plugin (ArcGIS/QGIS) to orthorectify single photos on DEM


PubKey: ZF5KTA9J
DataType: Aerial
StudyType: Application
Category: Landuse/Landcover
Description:
Opportunistically finds anthropogenic changes (Highway construction, quarry extraction and landfill) between 1993 an 2014


PubKey: LJ848PGR
DataType: Aerial
StudyType: Processing
Category: Methodology
Description:
implementation of application called SAPC - Scanned Aerial Photographs Correction, tool to resample images based on fiducial markers


PubKey: E5HRBYHP
DataType: Terrestrial
StudyType: Application
Category: Glaciology
Description:
10 epochs (1976-2005) ground photography of retreating Triglav glacier (Alps) + innovative techniques for archival photo processing not fulfilling photogrammetric requirements.


PubKey: 2AR5AVGG
DataType: Aerial
StudyType: Application
Category: Geomorphology
Description: Landslide evolution
Notes:
Interesting step-by-step workflow description starting from historical image selection up to how to process (very scientific - nice!)


PubKey: U33K22B3
DataType: Aerial
StudyType: Processing
Category: Methodology
Description:
multi-epoch image matching using SIFT; combining intra- and inter-epoch feature extraction with SIFT, using 2D and 3D similarity transformations in combination with RANSAC to remove outliers


PubKey: TCIDBHZF
DataType: Aerial
StudyType: Processing
Category: Methodology
Description: method for georeferencing photos
Notes:
It is am interesting approach but too limited information reported in the paper thus defined as not relevant


PubKey: ZMMJ4LY2
DataType: Satellite
StudyType: Processing
Category: Methodology
Description:
related thesis that actually describes the processing: Janssens, 2010, U. Ghent; this paper doesn't describe the processing of the DSMs (only the errors introduced by the scanner)


PubKey: 8YJ6EBX4
DataType: Aerial
StudyType: Application
Category: Forestry
Description:
map long-term changes in the extent and structure of the tropical forest in Congo. SfM to generate the orthomosaic


PubKey: 29T845PG
DataType: Satellite
StudyType: Application
Category: Glaciology
Description:
almost glacier change detection but with few interesting information of DEM generation from KH4 imgs.


PubKey: YSZQ3LH2
DataType: Satellite
StudyType: Processing
Category: Methodology
Description:
introduction of Cosi-Corr software examplary on SPOT 1-2-3-4 images (not considered as "historic data")


PubKey: VX3E6VKA
DataType: Aerial
StudyType: Both
Category: Methodology
Description:
automated pose estimation of historical images, 4D image browser, georeferencing of historical images + 3D reconstruction


PubKey: 45Q77CGI
DataType: Aerial
StudyType: Processing
Category: Methodology
Description:
might be relevant - used relevant photogrammetric processing steps (interior/exterior orientation), but used standard DEM to compare software


PubKey: SSHKC7K7
DataType: Satellite
StudyType: Processing
Category: Methodology
Description:
focuses on pre-processing and denoising techniques, but does use Maurer and Rupper approach to orthorectify images


PubKey: J57C8W3M
DataType: Satellite
StudyType: Processing
Category: Methodology
Description:
DTM generation from TK-350 images using Russian software; no details about images, processing given.


# datasets

DatasetKey: Q3DHRVLE.1
PubKey: Q3DHRVLE
Type: Aerial
ArchiveKey: OSY4BZ
Free: unclear
Calibration: partial
Scale: 1:33000
ScanUnit: μm
Notes:
camera format 230x230. 60% forward overlap and 30% lateral. photogrammetric scanner. principal distance (153.01 mm)


DatasetKey: Q3DHRVLE.2
PubKey: Q3DHRVLE
Type: Aerial
ArchiveKey: OSY4BZ
Free: unclear
Calibration: partial
Scale: 1:18000
ScanUnit: μm
Notes:
camera format 230x230. 60% forward overlap and 30% lateral. photogrammetric scanner. principal distance (152.77 mm)


DatasetKey: PQ3Q9H6A.1
PubKey: PQ3Q9H6A
Type: Aerial
ArchiveKey: HN7VOM
Free: unclear
Calibration: given
Scale: 1:30000
Notes:
the authors used maps generated from aerial photographs of several regions and years but used only one dataset (1966) for self-processing (DEM -> Orthophoto)


DatasetKey: 7BFYB2XH.1
PubKey: 7BFYB2XH
Type: Aerial
ArchiveKey: R1DE7R
Free: no
Calibration: computed
Scale: 1:25000
ScanUnit: μm
CameraType: Zeiss film-based camera
Notes:
Zeiss film-based camera.  63%, 40% forward and side overlap; image format 23 × 23 cm.  Only focal length available, 152.98. photogrammetric scanner.


DatasetKey: 89YP4S4S.1
PubKey: 89YP4S4S
Type: Aerial
ArchiveKey: R1DE7R
Free: no
Calibration: computed
Scale: 1:25000
ScanUnit: μm
CameraType: Zeiss film-based camera
Notes:
Zeiss film-based camera. 63%, 40% forward and side overlap; image format 23 × 23 cm. Only focal length available, 152.98. photogrammetric scanner.


DatasetKey: 2HQXTLS6.1
PubKey: 2HQXTLS6
Type: Satellite
ArchiveKey: G6FXCS
Free: yes
Calibration: partial
ScanUnit: μm
Notes:
 processed in LPS 2014 with frame camera model and focal length of 305 mm; resampled using reseau marks; 


DatasetKey: E675XV2W.1
PubKey: E675XV2W
Type: Aerial
ArchiveKey: Z7IBFN
Free: unclear
Calibration: partial
Scale: 1:48000
ScanUnit: μm
CameraType: Wild RC8
Notes:
flight height between 7000-8000 m, GSD between 1.5 - 2 m, scale: 1:48.000 - 1:50.000 | Scanner res: 1000 dpi


DatasetKey: C5WD2SYT.1
PubKey: C5WD2SYT
Type: Aerial
ArchiveKey: 4MTC2C
Free: unclear
Calibration: partial
Scale: 1:32000
ScanUnit: dpi
Notes:
Soviet camera system AFA-TES , focal length 101.39 mm. along-track overlap i∼70% and cross-track  ∼45%. contact prints of size 18 cm × 18 cm. commercial scanner model


DatasetKey: MDM8SQRY.3
PubKey: MDM8SQRY
Type: Aerial
ArchiveKey: 6381VK
Free: unclear
Calibration: computed
ScanUnit: dpi
Notes:
GEOTEC flight; reported as 30 m resolution but DEM output is 1 m, and it's listed in between Landsat images: likely a typo (meant to be 30 cm)


DatasetKey: D28F7QAG.1
PubKey: D28F7QAG
Type: Aerial
ArchiveKey: 40QZAA
Free: unclear
Calibration: not specified
ScanUnit: dpi
Notes:
"three epochs of aerial photograph datasets were initially selected for each of the sites: one from the 1940’s, one form the 1980’s or 1990’s and one modern dataset acquired in 2016"


DatasetKey: PXC5ENIG.1
PubKey: PXC5ENIG
Type: Aerial
ArchiveKey: S51JEE
Free: no
Calibration: partial
ScanUnit: μm
Notes:
Focal length and estimated fiducial position; Obliques -> GSD varies, same data as V5H2LDCV.1, but the whole set is processed


DatasetKey: TH6B9CR4.1
PubKey: TH6B9CR4
Type: Satellite
ArchiveKey: A95FOW
Free: yes
Calibration: computed
ScanUnit: μm
Notes:
DS1110-1152DA052, DS1110-1152DF046: CORONA KH-4B sensor, mission DS 1110-1, revolution 152 D, negatives A 052 (afterward image) and F 046 (forward image), 30 May 1970; Used Scanner: Vexcel Ultrascan 5000 (Institute of Photogrammetry & Geoinformation, Hannover


DatasetKey: 6J9XIMI9.1
PubKey: 6J9XIMI9
Type: Aerial
ArchiveKey: YGM0X0
Free: unclear
Calibration: computed
ScanUnit: dpi
Notes:
"A member of Yosemite's Search & Rescue team took these photographs from a helicopter in October 1976 for the purpose of planning and executing cliff rescues"


DatasetKey: E9FLCYRK.1
PubKey: E9FLCYRK
Type: Aerial
ArchiveKey: GMU659
Free: yes
Calibration: given
HeightRef: absolute
Scale: 1:25600
ScanUnit: μm
CameraType: Wild RC10
Notes:
Info are reported for the contry wide acquisition. floght height range up tp 7000. Scanned with Leica DSW 700 photogrammetric scanner, 8 bit radiometric resolution.. Data is GOING to be made available for free in course of opendata initiative


DatasetKey: ZP22ZXGG.1
PubKey: ZP22ZXGG
Type: Aerial
ArchiveKey: 8Q306G
Free: unclear
Calibration: given
ScanUnit: μm
Notes:
288 images over 42 years over the same area; accquired in 13 years; in principle would thus define 13 different data sets


DatasetKey: UKJUNZNC.1
PubKey: UKJUNZNC
Type: Aerial
ArchiveKey: A7YR43
Free: unclear
Calibration: given
HeightRef: absolute
Scale: 1:150000
ScanUnit: μm
Notes:
coordinate lists, image observations and calibration reports available, camera: WILD RC-10, focal length = 88mm


DatasetKey: XQDZXEBX.1
PubKey: XQDZXEBX
Type: Satellite
ArchiveKey: A95FOW
Free: yes
Calibration: given
ScanUnit: μm
Notes:
4 images, 2 images taken on 29 Aug and two on 29 Oct. film size of 4.5 in × 4.5 in. ground coverage 540 km × 540 km


DatasetKey: 5W2H2P54.1
PubKey: 5W2H2P54
Type: Aerial
ArchiveKey: 4MTC2C
Free: unclear
Calibration: computed
ScanUnit: dpi
Notes:
scanned at 1200, 600, 300, 150 dpi to test scanner resolution; GSD is the resolution of the DEM(s) produced


DatasetKey: F6IX3QIF.4
PubKey: F6IX3QIF
Type: Aerial
ArchiveKey: L0NCMW
Free: unclear
Calibration: given
Scale: 1:40000
ScanUnit: μm
Notes:
full camera calibration reports available (use of 5 additional images from flight done in 1986 for gap filling)


DatasetKey: D54J7ZC4.1
PubKey: D54J7ZC4
Type: Aerial
ArchiveKey: GMU659
Free: unclear
Calibration: given
Scale: 1:15700
ScanUnit: μm
Notes:
flying height between 5000-7000 m but not specifically indicated for each campaign, no info on GSD and nbr images


DatasetKey: IFALXNZB.3
PubKey: IFALXNZB
Type: Aerial
ArchiveKey: GMU659
Free: no
Calibration: given
Scale: 1:11000, 1:22000
ScanUnit: μm
Notes:
flying height between 4100-6200 m but not specifically indicated for each campaign, nbr images 14 and 6


DatasetKey: ZVQJ9Z46.1
PubKey: ZVQJ9Z46
Type: Aerial
ArchiveKey: 8Q306G
Free: unclear
Calibration: computed
Scale: 1:30000
ScanUnit: μm
Notes:
Format 18x18, 4 fiducials, calibrated fiducial mark coordinates not available and their positions determined from the digital images


DatasetKey: A37E78PU.3
PubKey: A37E78PU
Type: Aerial
ArchiveKey: FY95SI
Free: unclear
Calibration: given
Scale: 1:30000
ScanUnit: μm
Notes:
2 strips, 4 photos each; archive not given, images acquired as part of National Aerial Orthophotography Plan


DatasetKey: E6FMSYH2.1
PubKey: E6FMSYH2
Type: Satellite
ArchiveKey: G6FXCS
Free: yes
Calibration: partial
ScanUnit: μm
Notes:
Large Format Camera with 23x46cm frame & focal length of 30.5 cm; Named issues with data: vertical strips, dust particles, calibration errors (scanner), radiometric discontinuites between successive matrix positions possible


DatasetKey: B9WB4IEJ.1
PubKey: B9WB4IEJ
Type: Aerial
ArchiveKey: 2Z2SCD
Free: unclear
Calibration: computed
Scale: 1:29500
ScanUnit: μm
Notes:
No stereo imagery acquired by British Royal Air Force after the war, flight not designed for stereophoto set


DatasetKey: LDJRWPWA.1
PubKey: LDJRWPWA
Type: Aerial
ArchiveKey: KHE4XY
Free: unclear
Calibration: computed
Scale: 1:8000
ScanUnit: dpi
CameraType: Wild C2
Notes:
normal-convergent coverage i.e. 100% stereo coverage and a 20% overlap between adjacent stereopairs. Wild C2 camera. Glass plates with the original aerial photographs were scanned using an EPSON Perfection V7000 photo scanner


DatasetKey: CZ6H3CWC.1
PubKey: CZ6H3CWC
Type: Satellite
ArchiveKey: A95FOW
Free: no
Calibration: not specified
Scale: 1: 247500
ScanUnit: μm
Notes:
panchromatic cloudless Corona (KH-4B) mission 1101. each strip (footprint) are approximately 15 × 252 km. Ground resolution from 1.9 to 7.6


DatasetKey: ZF5KTA9J.1
PubKey: ZF5KTA9J
Type: Aerial
ArchiveKey: 68KO28
Free: yes
Calibration: given
ScanUnit: dpi
CameraType: Wild RC10
Notes:
camera 15UAG 1052 (focal length 153.26 mm), and the obtained images were printed in a 1/25.000 scale at 23 × 23 cm (Generalitat Valenciana, 1993a)


DatasetKey: 39PV5BL5.2
PubKey: 39PV5BL5
Type: Aerial
ArchiveKey: KGQH21
Free: unclear
Calibration: not specified
Notes:
To avoid uncontrolled deformations, each photograph was scanned with the flight direction parallel to the charges-coupled device array


DatasetKey: UZ4K7DVA.2
PubKey: UZ4K7DVA
Type: Aerial
ArchiveKey: KGQH21
Free: unclear
Calibration: computed
Scale: 1:15000
Notes:
Scanning resolutions ranged from 30 μm to 7 μm depending on the scale in order to obtain a nominal ground pixel size of 0.3 m


DatasetKey: VAS8PQGQ.1
PubKey: VAS8PQGQ
Type: Aerial
ArchiveKey: XMTV2P
Free: no
Calibration: given
ScanUnit: dpi
CameraType: Fairchild
Notes:
23x23 cm aerial photographs (printings of original negative films), calibrated focal length of 153.78 mm, using a FAIRCHILD camera (Fairchild Camera and Instrument Company,DE, Unated States). overlap of 60% and a sidelap of 40%


DatasetKey: FYPPE3AR.1
PubKey: FYPPE3AR
Type: Aerial
ArchiveKey: K5PVMI
Free: unclear
Calibration: given
ScanUnit: dpi
Notes:
analog cameras AFA 41-10 focal length = 99.086 mm, 18 × 18 cm frame size. Note height reported not for the single flight, varied from 1500 to 2500 m


DatasetKey: 9USYID46.1
PubKey: 9USYID46
Type: Aerial
ArchiveKey: 7VITLT
Free: unclear
Calibration: computed
Notes:
average of 1-4 photos per year, up to 19; no scanning resolution specified, used Hasselblad X5 high-resolution drum scanner (>3200 dpi); treating these as a single dataset based on how they're reported in the paper


DatasetKey: 2ARJBDQ8.1
PubKey: 2ARJBDQ8
Type: Aerial
ArchiveKey: JWHRWF
Free: yes
Calibration: computed
Notes:
Silbury Hill, Avebury (England), 14 imgs (1946, 1947, 1951, 1953), four 1951er imgs are used for stereo processing; low-res imgs are free, high-res need to be paid


DatasetKey: 2ARJBDQ8.2
PubKey: 2ARJBDQ8
Type: Aerial
ArchiveKey: DVM0XR
Free: yes
Calibration: computed
Notes:
Afon Ystwyth valley (Wales), six low-res imgs used for stereo processing, low-res are free, high-res need to be paid


DatasetKey: TBSJTSKM.1
PubKey: TBSJTSKM
Type: Aerial
ArchiveKey: 5B4RFF
Free: unclear
Calibration: computed
ScanUnit: dpi
Notes:
images are a mix of aerial (balloons, blimp, airplane, etc.), terrestrial (e.g., from a ladder or platform), and detailed photographs; GSD and scale are maximum values


DatasetKey: 697IL8A8.1
PubKey: 697IL8A8
Type: Aerial
ArchiveKey: 4MTC2C
Free: unclear
Calibration: given
Scale: 1:5000
ScanUnit: μm
Notes:
photogrammetric flight, 15.05.2021, 60/25 Overlap, camera: RMK TOP 15, 153.33 mm wide-angle focal length, Film: AGFA AVI-PHOT H100, calibration data supplied, scanned with Vexcel UltraScan 5000 (20µm/1270dpi)


DatasetKey: BRUFB85A.1
PubKey: BRUFB85A
Type: Satellite
ArchiveKey: G6FXCS
Free: yes
Calibration: partial
Notes:
stereo pair of Hexagon KH9 from 19.11.1973, camera specs by hypothesis according to Surazakov and Aizen (2010)


DatasetKey: 7JEVHID6.1
PubKey: 7JEVHID6
Type: Aerial
ArchiveKey: 6WY6OM
Free: unclear
Calibration: partial
ScanUnit: μm
Notes:
Easton Glacier test site; Ultrascan 5000 Model US5000 flatbed scanners with a precision of ± 2 𝜇m, image in TIF


DatasetKey: 7JEVHID6.2
PubKey: 7JEVHID6
Type: Aerial
ArchiveKey: 6WY6OM
Free: unclear
Calibration: partial
ScanUnit: μm
Notes:
South Cascade test site; Ultrascan 5000 Model US5000 flatbed scanners with a precision of ± 2 𝜇m, image in TIF 


DatasetKey: 7JEVHID6.3
PubKey: 7JEVHID6
Type: Aerial
ArchiveKey: 6WY6OM
Free: unclear
Calibration: partial
ScanUnit: μm
Notes:
Mount Baker test site; Ultrascan 5000 Model US5000 flatbed scanners with a precision of ± 2 𝜇m, image in TIF 


DatasetKey: 2828NT5L.1
PubKey: 2828NT5L
Type: Aerial
ArchiveKey: XMTV2P
Free: no
Calibration: not specified
Scale: 1:15000
ScanUnit: dpi
Notes:
Dataset from Frankl et al., 2015 (https://www.tandfonline.com/doi/full/10.1080/17538947.2014.942715)


DatasetKey: ERP9ZYKA.1
PubKey: ERP9ZYKA
Type: Aerial
ArchiveKey: KGKGGF
Free: yes
Calibration: not specified
Notes:
Information about the dataset is given as a range (e.g., image number between 6 and 21) but not for individual datasets. ground sampling of 15–80 cm. So, an approximation of these values is reported in the table


DatasetKey: ERP9ZYKA.2
PubKey: ERP9ZYKA
Type: Aerial
ArchiveKey: KGKGGF
Free: yes
Calibration: not specified
Notes:
Information about the dataset is given as a range (e.g., image number between 6 and 21) but not for individual datasets. So, an approximation of these values is reported in the table


DatasetKey: RT9SB69I.3
PubKey: RT9SB69I
Type: Satellite
ArchiveKey: A95FOW
Free: yes
Calibration: partial
ScanUnit: μm
Notes:
DS1014-2134DA088, DS1014-2134DA089, DS1014-2134DA090, DS1014-2134DF084, DS1014-2134DF085 & DS1014-2134DF086


DatasetKey: RT9SB69I.8
PubKey: RT9SB69I
Type: Satellite
ArchiveKey: A95FOW
Free: yes
Calibration: partial
ScanUnit: μm
Notes:
DS1105-2184DA078, DS1105-2184DA079, DS1105-2184DA080, DS1105-2184DF071, DS1105-2184DF072 & DS1105-2184DF073


DatasetKey: RT9SB69I.11
PubKey: RT9SB69I
Type: Satellite
ArchiveKey: A95FOW
Free: yes
Calibration: partial
ScanUnit: μm
Notes:
DS1014-2118DA188, DS1014-2118DA189, DS1014-2118DA190, DS1014-2118DA191, DS1014-2118DF187, DS1014-2118DF188, DS1014-2118DF189


# processing

DatasetKey: LRT6Z88R.1
PubKey: LRT6Z88R
Method: SfM
Software: Agisoft Metashape Professional
Version: 1.5.5
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: resize, masking (black border)
Geometric: resize, masking (black border)
Workflow:
Workflow: Pre-processing; enter calibrated focal length and fiducial marks position automatically detected; camera orientation; GCPs; camera optimization; dense matching and orthorectification. Joint orientation of the 1970 and 1971 images and separatly the dense matching. 


DatasetKey: XYRENZKG.1
PubKey: XYRENZKG
Method: Combined
Software: ERDAS Imagine: Leica Photogrammetry Suite, Pix4D
GCPs: yes
Fiducial: no
PreProc: no
Workflow:
Two Workflow and comparison: 1) classical photogrammetric ERDAS LPS. 2) SfM-MVS: enter calibrated focal length, automatic tie-point extraction, self-calibration for the optimization of the bundle adjustment, MVS, orthoimages and DEM.


DatasetKey: G7RKHNSY.1
PubKey: G7RKHNSY
Method: SfM
Software: MicMac
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: cropping
Geometric: cropping
Workflow:
relative orientation from automatic measurements of tie points and SfM, 2) absolute orientation bundle adjustment using GCPs, 3) point cloud using semi-global matching 4) mosaic orthophoto


DatasetKey: 7BFYB2XH.1
PubKey: 7BFYB2XH
Method: Photogrammetric
Software: ERDAS Imagine: Leica Photogrammetry Suite
Version: 2015
GCPs: yes
Fiducial: not specified
PreProc: yes
PreProcNote: rigid body transformation to the fiducial center.
Geometric: affine transformation (to fiducial center)
Workflow:
fixed interior orientation parameters, initial exterior orientation parameters based on approximate camera positions, and the GCPs in the object space


DatasetKey: U5IZQNWE.1
PubKey: U5IZQNWE
Method: Photogrammetric
Software: ERDAS Imagine: Leica Photogrammetry Suite
Version: 9.3
GCPs: yes
Fiducial: no
PreProc: yes
PreProcNote: mosaicing
Geometric: mosaicing
Workflow:
processed originally using panoramic camera model in Socet Set 5.4.1; repeated using a subsection of image in LPS


DatasetKey: PBSVU4ID.1
PubKey: PBSVU4ID
Method: Manual
Software: Agisoft Photoscan Professional
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: affine transformation of frames to correct interior geometry
Geometric: undistortion (affine transformation)
Radiometric: contrast enhancement, gamma balancing between frames, vignetting correction
Workflow:
calculated DEMs but not for orthophoto but later object classification, solely "georectified" images, images were radiometrically corrected; Agisoft for later DEMs, but not to georectify frames


DatasetKey: 69S6EE9C.1
PubKey: 69S6EE9C
Method: SfM
Software: Pix4D mapper pro
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: image alignment (rotating, cropping)
Geometric: alignment (cropping, rotating)
Workflow:
Problems in finding GCPs between now and then, but also in measuring the same GCP in all old images (shadow, different looking angle)


DatasetKey: RWU3ALN9.1
PubKey: RWU3ALN9
Method: SfM
Software: Agisoft Photoscan Professional
Version: 1.2.5
GCPs: yes
Fiducial: no
PreProc: yes
Geometric: masking (metadata, high distorted boundaries)
Workflow: general agisoft workflow. camera calibrated manually by fixing the focal length and the pixel size
PreProcNote:
masking the lateral inscriptions of the photographs and boundaries exhibiting a high degree of distortion


DatasetKey: IWKSCW57.1
PubKey: IWKSCW57
Method: Photogrammetric
Software: ASP (Ames Stereo Pipeline)
GCPs: no
Fiducial: yes
PreProc: yes
PreProcNote: undistortion, mosaicing, cropping
Geometric: cropping, mosaicing, undistortion
Workflow:
Approximate georeferencing from metadata, coregistration to reference DEM, then automated extraction of GCPs


DatasetKey: C5WD2SYT.1
PubKey: C5WD2SYT
Method: SfM
Software: MicMac
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: fiducial detection (manually)
Geometric: fiducial detection (manually)
Workflow:
SfM with known focal length set to fixed, image size, GCP for absolute orientation and bundle adjustment refinement, and dense cloud (semi Global Match)


DatasetKey: YW232UWW.1
PubKey: YW232UWW
Method: Photogrammetric
Software: PhotoMod
Version: 4.1
GCPs: yes
Fiducial: yes
PreProc: no
Workflow:
Interior and exterior orientation obtained automatically with Photomod, but stereo matching is made manually with stereoglasses.


DatasetKey: MDM8SQRY.1
PubKey: MDM8SQRY
Method: SfM
Software: Pix4D mapper pro
Version: 4.1
GCPs: yes
Fiducial: no
PreProc: no
Workflow:
Processing of Aerial Images together (MDM8SQRY.1/.3/.4); GCPs from non-glacier locations in TLS and airborne LiDAR data


DatasetKey: 4IQDTMM4.1
PubKey: 4IQDTMM4
Method: Time-SIFT
Software: Agisoft Photoscan Professional
Version: 1.2.6
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: no preproc, masking (black border), resampling (fiducials)
Geometric: undistortion (fiducials), masking (black border)
Workflow:
tested three versions of GCPs/tie points (200 manually marked tie points, minimum 9 GCPs and 200 GCPs whose coordinates from orthorectfied imagery and from DEM), usage of different reference methods (comparison to coarse photogrammetry DEM of 50 m resolution and to fine LiDAR DEM and considering DoD quality as mean of absolute values); SfM+MVS Workflow in Photoscan performed, IOP & EOP computed & optimized using all datasets during SfM; run MVS for each time stamp using the determined IOP&EOP, Comparision of different pre-processing and georeferencing options during DEM generation; DEM export without interpolation


DatasetKey: BRUM54LP.1
PubKey: BRUM54LP
Method: SfM
Software: Agisoft Metashape Professional
Version: 1.6.1
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: resize, masking (black border)
Geometric: resize, masking (black border)
Workflow:
standard SfM–MVS workflow but using the agisoft film camera tool for the orientation (automatically derive the fiducial marks location, adding mm location and calibrated focal length)


DatasetKey: WW4K3NXX.1
PubKey: WW4K3NXX
Method: Photogrammetric
Software: ERDAS Imagine: OrthoBASE Pro
GCPs: yes
Fiducial: no
PreProc: not specified
Workflow:
sensor modelling in ERDAS using "non-metric camera model" (requires focal length, scanner resolution) + selected GCPs (IKONOS + Russian Map); DSM generation: 1. Img matching via Förstner Op, 2. Forward intersection of matched points, 3. build DEM


DatasetKey: ERBERDB6.1
PubKey: ERBERDB6
Method: SfM
Software: MicMac
GCPs: no
Fiducial: yes
PreProc: not specified
Workflow:
First, coarsely georeferenced orthoimages and DSM are produced for each year without any additional ground. Then, a fine absolute image orientation is computed


DatasetKey: TH6B9CR4.1
PubKey: TH6B9CR4
Method: Photogrammetric
Software: VirtuoZo, ILWIS
Version: 3.2, 3.0
GCPs: yes
Fiducial: no
PreProc: not specified
Workflow:
GCPs measured by authors in the field (43 in 2003 and 48 in 2004); ILWIS 3.2 (for preprocessing), VirtuoZo V.3 (georeferencing & DSM+Ortho generation), self-calibration (distortion correction) via GCPs


DatasetKey: 6J9XIMI9.1
PubKey: 6J9XIMI9
Method: SfM
Software: Agisoft Photoscan Professional
Version: 1.0.4
GCPs: no
Fiducial: no
PreProc: yes
PreProcNote: Mask scan borders, metadata and local image occlusions (helicopter blades)
Geometric: masking (black borders, metadata, other)
Workflow:
Georeferencing follow custom pipeline of Guerin et al. 2017 (https://doi.org/10.5194/nhess-17-1207-2017)


DatasetKey: E9FLCYRK.1
PubKey: E9FLCYRK
Method: Photogrammetric
Software: PCI Geomatics (for orientation) + Inpho (Orthomaster)
Version: 2018 SP1
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: meta data file preparation
Geometric: meta data preparation
Workflow:
Reading the metadata, interioir orientaiton (automatic detection of fiducial marks), alignment alignment process automatically identifies GCPs and TPs and filters these to user-defined error thresholds (the process required a DEM as input), TPs refinemnet, and quality check. Orthophoto generation in Inpho software. No DEM was generated but an availale country wide DEM for the orthorectification


DatasetKey: PJ3SVQP3.1
PubKey: PJ3SVQP3
Method: Photogrammetric
Software: Inpho (MATCH-AT and OrthoMaster)
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: manual IOP, warping
Geometric: manual IOP, warping
Workflow:
Test 8 processing parameters (bllunder removal, automatic point deteciton, self calibraiton etc). General Workflow: 1) input historical Imgs, calibraiton protocol, DEM (25 m) and curret orthophoto; 2)aerial triangulation with tie points extraciton (automatci and manual), bundle block adjustment and GCPs; 3) orthorectification using availbale DEM;


DatasetKey: AYRB3XCS.1
PubKey: AYRB3XCS
Method: SfM
Software: Agisoft Metashape Professional
Version: 1.5.0
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: noise reduction, sharpening, contrast enhancement
Radiometric: denoise, contrast enhancement, sharpening
Workflow:
manual tie points added to orient the images depsite high overlapp and the manually triangulated points were considered reliable


DatasetKey: UHTXA8J6.1
PubKey: UHTXA8J6
Method: SfM
Software: Agisoft Photoscan Professional
GCPs: yes
Fiducial: no
PreProc: no
Workflow:
Same as Nita et al. (2018) + 67 additional GCPs used for rectification in ArcGIS with spline transformation


DatasetKey: ZP22ZXGG.1
PubKey: ZP22ZXGG
Method: Manual
Software: self (Matlab)
GCPs: yes
Fiducial: yes
PreProc: no
Workflow:
manual tie points connecting images in different years, thematize problem of finding GCPs in very old images --> multi-temporal BBA


DatasetKey: E8CED4N3.1
PubKey: E8CED4N3
Method: SfM
Software: Agisoft Photoscan Professional
GCPs: yes
Fiducial: no
PreProc: no
Workflow:
standard agisoft workflow for digital aerial images, “medium accuracy” setting because computation time


DatasetKey: 3R65I8XW.1
PubKey: 3R65I8XW
Method: SfM
Software: Pix4D mapper pro
GCPs: yes
Fiducial: yes
PreProc: yes
Geometric: cropping, undistortion (fiducials)
Workflow: aerial triangulation with camera self-calibration
PreProcNote:
For IO: cropping, affine transformation, rotation of two fiducial marks (vertical) , estimation of the coordinates of photogrh centers


DatasetKey: F6IX3QIF.1
PubKey: F6IX3QIF
Method: Photogrammetric
Software: Intergraph IMAGINE Photogrammetry (routine eATE - enhanced automatic terrain extraction)
GCPs: yes
Fiducial: no
PreProc: yes
PreProcNote: pseudo fiducial generation, pseudo pp generation, pre-calibration
Geometric: pseudo fiducial generation, pseudo pp generation, pre-calibration
Workflow:
Workflow: Img orient, autom. Stereo Matching, manual DEM editing, Orthorect. + Bundle Adjustment to include camera geometry: Bauer's Model


DatasetKey: F6IX3QIF.2
PubKey: F6IX3QIF
Method: Photogrammetric
Software: Intergraph IMAGINE Photogrammetry (routine eATE - enhanced automatic terrain extraction)
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: pre-calibration via calib report (ck, lens dist)
Geometric: pre-calibration, undistortion (calib report)
Workflow:
Workflow: Img orient, autom. Stereo Matching, manual DEM editing, Orthorect. + Bundle Adjustment to include camera geometry: Jacobsen's Model


DatasetKey: CJDLGEZ6.1
PubKey: CJDLGEZ6
Method: SfM
Software: HEXIMAP (Hexagon Imagery Automated Pipeline)
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: undistortion (reseau crosses), contrast enhancement, noise filtering, radiometric alignment
Geometric: undistortion (reseau crosses)
Radiometric: contrast enhancement, denoise, histogram alignment between imgs
Workflow:
SURF feature point extraction, compute Fmat, stereo rectification, SGBM, Triangul, absolute Orientation via SRTM alignment


DatasetKey: UA5FY4A8.1
PubKey: UA5FY4A8
Method: SfM
Software: Agisoft Photoscan Professional
Version: 1.1.6
GCPs: yes
Fiducial: no
PreProc: yes
Geometric: rotation, scaling, cropping, masking (alignment fiducials to image border)
Radiometric: contrast enhancement, exposure enhancement
Workflow: standard agisoft workflow for digital aerial images. mesh and DEM generation in Agisoft
PreProcNote:
contrast / exposure enhancement, rotation, scaling (fiducials aligned to image borders), cropping, masking


DatasetKey: IFALXNZB.1
PubKey: IFALXNZB
Method: Combined
Software: ERDAS Imagine Photogrammetry, Agisoft Photoscan, Pix4D mapper pro
Version: NA, 1.2.0, 3.0
GCPs: yes
Fiducial: not specified
PreProc: no
Workflow:
GCPs extracted from Swissimage, if sufficient overlap and # of images comparable results to aerial photogrammetry with SfM possible revealing higher resolution (due to higher point cloud density) and less noise for SfM


DatasetKey: ZVQJ9Z46.1
PubKey: ZVQJ9Z46
Method: Photogrammetric
Software: SocetSet
Version: 5.6.0
GCPs: yes
Fiducial: yes
PreProc: not specified
Workflow:
fiducial transformation 6-parameter affine model, Exterior Orientations (automatic tie points and measure GCPs), self-calibrating bundle block adjustment, DEM generation


DatasetKey: AXLJGWNE.1
PubKey: AXLJGWNE
Method: Photogrammetric
Software: ERDAS Imagine Photogrammetry
GCPs: yes
Fiducial: yes
PreProc: no
Workflow:
1) semi-automatic measurement of tie points and manual measurement of Ground Control Points ; 2) image orientation robust bundle adjustment; 3) point cloud generation; 4) DEM and orthoimage


DatasetKey: NSVSN55R.1
PubKey: NSVSN55R
Method: SfM
Software: Agisoft Photoscan Professional
Version: 1.4.1
GCPs: yes
Fiducial: no
PreProc: no
Workflow:
2 main stages: 1. multiple epoch SFM+MVS incl co-reg, 2. ortho image enhancement to improve recognition of archaelogical features


DatasetKey: QI38W8V2.1
PubKey: QI38W8V2
Method: Photogrammetric
Software: PhotoMod, PhoTopol, Atlas and Aerosys
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: modifying the radiometry
Radiometric: yes (no details)
Workflow:
The interior orientations by measuring the eight fiducial marks; the exterior orientation was accomplished using ground control points


DatasetKey: 6YYMSPRM.1
PubKey: 6YYMSPRM
Method: Photogrammetric
Software: ERDAS Imagine: Leica Photogrammetry Suite
Version: 2013
GCPs: yes
Fiducial: yes
PreProc: yes
Geometric: undistortion (reseau crosses)
Radiometric: contrast enhancement, intensity enhancement
PreProcNote:
radiometric corrections (contrast enhancement, intensity adjustment), Geometric corrections (image distortion correction [reseau crosses])


DatasetKey: E6FMSYH2.1
PubKey: E6FMSYH2
Method: Photogrammetric
Software: ERDAS Imagine: Leica Photogrammetry Suite, PCI Geomatrica, Python PIL
Version: 9.2, NA, NA
GCPs: yes
Fiducial: yes
PreProc: yes
Geometric: undistortion (reseau crosses)
Radiometric: contrast enhancement, intensity enhancement
Workflow:
Resituation of camera situation using horizontal/vertical reference data (horiz: orthorectified SPOT-5 scene using Landsat7+CGIAR SRTM3 data, vertical: ICESat GLAS14 elev (slope <15°), SRTM3 (slope>15°, ICESat=nodata)


DatasetKey: P6V87WN5.1
PubKey: P6V87WN5
Method: SfM
Software: Agisoft Photoscan
GCPs: yes
Fiducial: no
PreProc: yes
PreProcNote: fiducial detection (px), rotation, masking (black border), cropping (pp true camera center)
Geometric: cropping (pp true camera center), fiducial detection (px), masking (black border), rotation
Workflow:
agisoft importing the predefine interioir orientation. 1) orientation process with GCPS coordinates in the bundle adjustment, 2) optimizing camera calibration, 3) dense cloud, 4) noise filtering and DEM generation (Metashape)


DatasetKey: LDJRWPWA.1
PubKey: LDJRWPWA
Method: Photogrammetric
Software: Photomod, PhotoModeler
GCPs: yes
Fiducial: no
PreProc: no
Workflow:
1) PhotoModeler to obtain initial values for the external orientation parameters + GCPs; 2) import ext paramter into PHOTOMOD and bundle aerial triangulation


DatasetKey: CZ6H3CWC.1
PubKey: CZ6H3CWC
Method: SfM
Software: Agisoft Photoscan
Version: 1.2.0
GCPs: not specified
Fiducial: not specified
PreProc: yes
PreProcNote: Image stiching
Geometric: mosaicing
Workflow:
1) tie points automatically, 2) aligns two images, 3) dense point cloud 4) georeferenced using GCPs, 5) orthorectified. Note replace the corona DEM with SRTM for the orthorectification due to gaos in the original DEM; 6) imporved core-gistration wof orthophooto using additional GCP


DatasetKey: ZF5KTA9J.1
PubKey: ZF5KTA9J
Method: SfM
Software: Agisoft Metashape Professional
Version: 1.6.0
GCPs: yes
Fiducial: not specified
PreProc: yes
Geometric: cropping (pp in center), masking (fiducials, imgs same size)
PreProcNote:
images were cropped to maintain the optical axis centred, removing fiducial markers and maintaining the same size


DatasetKey: 7T8X95KY.1
PubKey: 7T8X95KY
Method: Photogrammetric
Software: Inpho (Match-AT + Match-T DSM), OPALS
Version: NA, NA
GCPs: yes
Fiducial: yes
PreProc: no
Workflow:
1. georef + AT using GCPs from ALS ref data (Match-AT), 2. Dense M. (Match-T DSM), 3. Co-Reg hist. DEMs to ALS DSM (OPALS) via LSM


DatasetKey: LJ848PGR.1
PubKey: LJ848PGR
Method: Photogrammetric
Software: Trimble Inpho
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: images resampled to geometry of fiducial marks, mask fiducial markers
Geometric: masking (fiducials), undistortion (fiducials)
Workflow:
various processing variants to assess influence at accuracy (different nubmer GCPs, resample image, different software)


DatasetKey: VAS8PQGQ.1
PubKey: VAS8PQGQ
Method: SfM
Software: MicMac
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: cropping (by mask), keep fiducials, meta data preparation (focal length)
Geometric: cropping (mask), keep fiducials, meta data preparation (ck)
Workflow:
1) tie points definition and 2) tie points filtering; 3) bundle block adjustment; 4) GCPs and gereferencing; 5) dense matching


DatasetKey: E5HRBYHP.1
PubKey: E5HRBYHP
Method: Manual
Software: self, ORIENT
Version: NA, NA
GCPs: no
Fiducial: no
PreProc: not specified
Workflow:
For accuracy, paper mostly relies on the comparison of measurements from each camera, rather than comparison to GCPs. Not entirely clear how they're estimating "glacier volume" but areas reported seem reasonable enough.


DatasetKey: 2AR5AVGG.1
PubKey: 2AR5AVGG
Method: Photogrammetric
Software: ERDAS Imagine: OrthoBASE Pro, GAP
Version: 8.6, NA
GCPs: yes
Fiducial: not specified
PreProc: no
Workflow:
self calibrating bundle adjustment to determine IOP via GAP (J. Chandler), stereo reconstruction via ERDAS


DatasetKey: RCZYWWZJ.1
PubKey: RCZYWWZJ
Method: SfM
Software: HEXIMAP (Hexagon Imagery Automated Pipeline)
GCPs: no
Fiducial: no
PreProc: yes
PreProcNote: mosaicing, cropping (ROI)
Geometric: cropping (ROI), mosaicing
Workflow:
surface feature matching + uncalibrated stereo rectification + SGBM (Open CV) + coreg to external DEM


DatasetKey: U33K22B3.1
PubKey: U33K22B3
Method: Time-SIFT
Software: MicMac
GCPs: yes
Fiducial: yes
PreProc: yes
PreProcNote: images resampled to geometry of fiducial marks
Geometric: undistortion (fiducials)
Workflow:
perform approach similar to Time-SIFT, but with adapted inter- and intra epoch outlier filter, GCPs not used during BBA but afterwards solely for 3D similarity transformation


DatasetKey: 697IL8A8.1
PubKey: 697IL8A8
Method: Photogrammetric
Software: ERDAS Imagine: Leica Photogrammetry Suite
GCPs: yes
Fiducial: yes
PreProc: not specified
Workflow:
6 tested workflows, only the best result (Ebner Orthogonal + only focal length) included in speadsheet


DatasetKey: BRUFB85A.1
PubKey: BRUFB85A
Method: Photogrammetric
Software: Inpho
Version: 5.7
GCPs: yes
Fiducial: yes
PreProc: not specified
Workflow:
Cartosat-1 scene served as reference for EOP of Hexagon images; RFM and RSM workflows conducted for comparision; results from RSM-workflow used in spreadsheet (best results): IOP restored on hypothesis from Suk. & Aizen (2010)


DatasetKey: 2AWYTXZI.2
PubKey: 2AWYTXZI
Method: Time-SIFT
Software: self, Colmap, Metashape
GCPs: no
Fiducial: yes
PreProc: yes
PreProcNote: geometric pre-processing as given in Sevara 2016
Geometric: rotation, downsampling
Workflow:
joint evaluation of all images to get stereo coverage / generation of multi-temporal DSMs but not using SIFT (setting method to timeSift in Column not well suited), Metashape only used for DC calculation per epoch after calculating the sparse cloud by own approach


DatasetKey: 29T845PG.1
PubKey: 29T845PG
Method: SfM
Software: CoSP
GCPs: yes
Fiducial: yes
PreProc: yes
Geometric: undistortion (fiducials), mosaicing, clipping
Workflow: workflow described in Ghuffar et al 2022 (CoSP - Corona Stereo Pipeline)
PreProcNote:
mosaicing of single film scans, ficual mark detection and undistortion, clipping of unsharp image content


DatasetKey: K8DGTW2N.7
PubKey: K8DGTW2N
Method: Photogrammetric
Software: SocetSet
Version: 5.5.0
GCPs: not specified
Fiducial: not specified
PreProc: not specified
Workflow:
dataset used for DEM generation and orthorectification via Socset. These DEMs were furthermore used to orthorecify the other image datasets to generate orthophotos


DatasetKey: 5VQYMDG3.1
PubKey: 5VQYMDG3
Method: SfM
Software: Corona Stereo Pipeline (CoSP)
GCPs: yes
Fiducial: yes
PreProc: yes
Geometric: mosaicing, undistortion (fiducials), rotating, resampling
PreProcNote:
mosaicing of partial scans, use panoramic geometry stripes to resample image, film bending correction, rotating aft camera images


DatasetKey: 83M24SAX.1
PubKey: 83M24SAX
Method: Manual
GCPs: yes
Fiducial: yes
PreProc: yes
Geometric: mosaicing, undistortion, resampling
Workflow: appears to be some kind of homebrew based on the collinearity equations?
PreProcNote:
mosaicing of partial scans, sideline correction/resampling, transformation from panoramic to perspective geometry


DatasetKey: R6EJDZP5.2
PubKey: R6EJDZP5
Method: SfM
Software: Agisoft Metashape
Version: 1.8.0
GCPs: no
Fiducial: no
PreProc: yes
PreProcNote: masking (black border)
Geometric: masking (black borders, metadata)
Workflow:
standard SfM-MVS but useung the 1:60,000 orthomosaics as reference data to rectifies the 1:30,000 scale dataset without GCPs. The coregistraiton of the 1:30000 orthomosaic with the 1:60000 mosaic was done using the Auto Registration tool of ArcGIS desktop version 10.4


DatasetKey: I4QV6C6X.1
PubKey: I4QV6C6X
Method: Manual
Software: Orientation and orthorectification for Corona (2OC)
GCPs: no
Fiducial: no
PreProc: not specified
Workflow:
First, a 14-parameter panoramic mathematical model and a digital differential orthorectification method to fit the panoramic and focal length distortions of KH-4B images. then a robust image matching algorithm for the automatic extraction of control information


DatasetKey: 7JEVHID6.1
PubKey: 7JEVHID6
Method: Combined
Software: OpenCV, Metashape, AmesStereoPipeline
GCPs: no
Fiducial: yes
PreProc: yes
PreProcNote: Image standardisation: remove photo frame, enhance contrast, affine transformation
Geometric: undistortion (fiducials), masking black border
Radiometric: contrast enhancement
Workflow:
HSfM method in 4 steps: 1) image preprocessing, 2) SfM reconstruction, 3) co-registration with modern reference DEM data, and 4) orthomosaic generation using refined camera extrinsics


DatasetKey: 6P2CL666.1
PubKey: 6P2CL666
Method: SfM
Software: MicMac
GCPs: no
Fiducial: yes
PreProc: yes
PreProcNote: images resampled to geometry of fiducial marks, downsampling
Geometric: undistortion (fiducials), downsampling
Workflow:
Tested 5 different orientation methods, 1) with "virtual GCPs", 2) roughly co-register all the epochs, 3) apply SuperGlue to refine the coregistration results, 4) guided matching and 5) patch approach 


DatasetKey: Q57B8PSI.1
PubKey: Q57B8PSI
Method: Photogrammetric
Software: ERDAS Imagine: Leica Photogrammetry Suite
GCPs: yes
Fiducial: no
PreProc: yes
PreProcNote: image downsampling
Geometric: downsampling
Workflow:
Tested 2 approaches, patch-based processing, i.e., each patch was processed independently and mosaic-based processing, i.e., the patches were mosaicked first


# accuracy

AccuracyKey: UFU92EAC.1.1
DatasetKey: UFU92EAC.1
PubKey: UFU92EAC
SourceXY: Landsat ETM+
SourceZ: SRTM1
SourceGroup: area-based
Comparison: DEM (SRTM)
CompGroup: area-based
Metric: Standard Deviation
PostProcessing:
Coregistration (horizontal shift + tilt), filtering gross outliers (>150 m) and using sigmoid, krigging for gap-filling


AccuracyKey: E675XV2W.1.1
DatasetKey: E675XV2W.1
PubKey: E675XV2W
SourceXY: WorldView imagery
SourceZ: REMA
SourceGroup: area-based
Comparison: GPS
CompGroup: point-based
Metric: RMSE
PostProcessing:
Noise filtering, Gridding, Coregistration (following Nuth & Kääb, 2011), Change detection (1978 <-> 1979)


AccuracyKey: TPNA7T79.1.1
DatasetKey: TPNA7T79.1
PubKey: TPNA7T79
SourceXY: Landsat
SourceZ: SRTM1
SourceGroup: area-based
Comparison: DEM (SRTM)
CompGroup: area-based
Metric: NMAD
PostProcessing:
Coregistration (horizontal shift + degree 2 polynomial), outlier filtering, krigging for gap-filling


AccuracyKey: 8YJ6EBX4.1.1
DatasetKey: 8YJ6EBX4.1
PubKey: 8YJ6EBX4
SourceXY: ESRI World Imagery
SourceGroup: point-based
Comparison: GCPs
CompGroup: point-based
Metric: Standard Deviation
PostProcessing:
Further georeferencing in QGIS using the georeferencer plugin (v3.1.9). Residuals after the postprocessing


AccuracyKey: 7JEVHID6.1.1
DatasetKey: 7JEVHID6.1
PubKey: 7JEVHID6
SourceXY: LiDAR DEM
SourceZ: LiDAR DEM
SourceGroup: area-based
Comparison: LIDAR DEM
CompGroup: area-based
Metric: NMAD
PostProcessing:
multi-stage co-registration procedure uses a three-step Iterative Closest Point (ICP) alignment routine


AccuracyKey: UKJUNZNC.1.1
DatasetKey: UKJUNZNC.1
PubKey: UKJUNZNC
SourceXY: GPS, Doppler
SourceZ: GPS, Doppler
SourceGroup: point-based
NumGCPs: 100-200
Comparison: ICESat
CompGroup: point-based
Metric: Standard Deviation
PostProcessing:
Coregistration (ICESat reference, RMSE 3m/1m (XY/Z), Sample extraction, DEM Gridding, Change detection


AccuracyKey: AD3B83ZP.1.1
DatasetKey: AD3B83ZP.1
PubKey: AD3B83ZP
SourceXY: Lidar point cloud
SourceZ: Lidar point cloud
SourceGroup: point-based
Comparison: ALS DEM
CompGroup: area-based
Metric: RMSE
PostProcessing:
ICP coregistration on stable terrain between historical and ALS pointcloud. The area was divided into overlapping patches and coregistration applied separately and then the overall area. Noise filtering and Gaps filling


AccuracyKey: UZ4K7DVA.1.1
DatasetKey: UZ4K7DVA.1
PubKey: UZ4K7DVA
SourceXY: dGPS
SourceZ: dGPS
SourceGroup: point-based
Comparison: CP Areas
CompGroup: area-based
Metric: RMSE
PostProcessing:
corrected systematic error by averaging elevations in CP areas, interpolating, subtracting from individual DEMs


AccuracyKey: RT9SB69I.1.1
DatasetKey: RT9SB69I.1
PubKey: RT9SB69I
SourceXY: Landsat
SourceZ: SRTM1
SourceGroup: area-based
Comparison: GCPs
CompGroup: area-based
Metric: RMSE
PostProcessing:
co-registration (Nuth and Kääb), 2D first order polynomial trend removal; outlier removal using 3std elevation bins on-glacier


# outputs

DatasetKey: Q45H8ZC2.1
PubKey: Q45H8ZC2
Output: 3D (point cloud/DEM)
Notes:
Authors only compute GCP coordinates analytically with their own, unnamed, code, no Orthophoto or DEM produced, no commercial software used


DatasetKey: JTUUBHR8.1
PubKey: JTUUBHR8
Output: 3D (point cloud/DEM)
Notes:
tested influence of raster resolution at uncertainty; edit Mel: given vals DEM res: 0.5 / 2.0 (calculated avg for further processing)


DatasetKey: F9VIP5F7.1
PubKey: F9VIP5F7
Output: 3D (point cloud/DEM)
Notes:
resolution given is the "low-resolution"; also processed to 10 cm; point cloud density is given in points per sq. cm


DatasetKey: BRUFB85A.1
PubKey: BRUFB85A
Output: 2D (orthophoto)
Notes:
both, gridded DEM (50m res) and orthoimage (6m res) were generated but desired "product" was orthoimage for change detection (detect water bodies)


DatasetKey: G4U45YN3.1
PubKey: G4U45YN3
Output: 2D (orthophoto)
Notes:
At the image’s scale of 1:20 000, onefiftieth of an inch on the map would be 33.33 feet or 10.16 meters on the ground


DatasetKey: AD3B83ZP.1
PubKey: AD3B83ZP
Output: 3D (point cloud/DEM)
Notes:
DEM generated using robust moving window and gaps were filled with a moving plane interpolation with inverse distance weighting


# archives

ArchiveKey: 5CK9DL
Country: Canada
LongName: National Air Photo Library of Natural Resources Canada
ShortName: NAPL
URL:
https://natural-resources.canada.ca/maps-tools-and-publications/satellite-imagery-elevation-data-and-air-photos/air-photos/national-air-photo-library/9265


ArchiveKey: 26W8ZL
Country: Ethiopia
LongName: Space Science and Geospatial Institute
ShortName: EMA
NumImages: 34,000
URL: http://ssgi.gov.et/
GeoURL: https://www.ethiopia1935.ugent.be/
Notes:
Formerly Ethiopian Mapping Agency and Geospatial Information Institute; data hosted by University of Ghent (Belgium)


ArchiveKey: 8Q306G
Country: Finland
LongName: National Land Survey of Finland
ShortName: NLS
URL:
https://www.maanmittauslaitos.fi/en/maps-and-spatial-data/datasets-and-interfaces/product-descriptions/aerial-photographs


ArchiveKey: 7YFVVD
Country: Japan
ShortName: CrDAP
URL: https://www.jamstec.go.jp/e/database/
LongName:
Japan Agency for Marine-Earth Science and Technology’s Cryosphere Data Archive Partnership Observational Research Database


ArchiveKey: PKZYPE
Country: South Africa
LongName: National Geo-spatial Information
ShortName: NGI
GeoURL: http://www.cdngiportal.co.za/cdngiportal/
URL:
https://ngi.dalrrd.gov.za/index.php/what-we-do/aerial-photography-and-imagery/34-aerial-photography-1926-2008


ArchiveKey: FLH7L9
Country: Sweden
LongName: Swedish mapping, cadastral, and land registration authority
ShortName: Lantmäteriet
URL:
https://www.lantmateriet.se/en/geodata/our-products/product-list/scanned-analogue-aerial-photographs/


ArchiveKey: GMU659
Country: Switzerland
LongName: Swiss Federal Office of Topography
ShortName: Swisstopo
URL: https://www.swisstopo.admin.ch/en/analogue-aerial-photographs
GeoURL:
https://map.geo.admin.ch/#/map?lang=en&center=2660000,1190000&z=1&bgLayer=ch.swisstopo.pixelkarte-farbe&topic=swisstopo&layers=ch.swisstopo.lubis-luftbilder_schwarzweiss@year=all;ch.swisstopo.lubis-luftbilder_farbe@year=all&catalogNodes=ech


ArchiveKey: JWHRWF
Country: UK
LongName: Britain From Above
ShortName: BFA
StartYear: 1919
URL: https://www.britainfromabove.org.uk/
GeoURL:
https://www.britainfromabove.org.uk/en/map?country=global&view=map#0,262466.52493474324,609599.6708161779


ArchiveKey: RFKWDX
Country: USA
LongName: Connecticut State Library
ShortName: CSL
URL: https://libguides.ctstatelibrary.org/hg/aerialphotos
GeoURL:
https://www.arcgis.com/apps/View/index.html?appid=044e8e6266aa44dc8ccc9b6e2eecacb4&extent=-74.4077,40.7353,-70.6174,42.3712


ArchiveKey: Z7IBFN
Country: USA
LongName: USGS EROS Archive - Aerial Photography - Antarctic Single Frame Records
ShortName: USGS EROS Antarctic
GeoURL: https://earthexplorer.usgs.gov/
URL:
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-aerial-photography-antarctic-single-frame-records


ArchiveKey: GLVW96
Country: USA
LongName: USGS EROS Archive - Air Photo Single Frames
ShortName: USGS EROS Air Frames
GeoURL: https://earthexplorer.usgs.gov/
URL:
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-aerial-photography-aerial-photo-single-frames


ArchiveKey: A95FOW
Country: USA
LongName: USGS EROS Archive - Declassified Satellite Imagery 1
ShortName: USGS EROS Declass 1
GeoURL: https://earthexplorer.usgs.gov/
URL:
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-declassified-data-declassified-satellite-imagery-1


ArchiveKey: G6FXCS
Country: USA
LongName: USGS EROS Archive - Declassified Satellite Imagery 2
ShortName: USGS EROS Declass 2
GeoURL: https://earthexplorer.usgs.gov/
URL:
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-declassified-data-declassified-satellite-imagery-2


ArchiveKey: 9CCGR4
Country: USA
LongName: USGS EROS Archive - Declassified Satellite Imagery 3
ShortName: USGS EROS Declass 3
GeoURL: https://earthexplorer.usgs.gov/
URL:
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-declassified-data-declassified-satellite-imagery-3


ArchiveKey: RCK4IH
Country: USA
LongName: USGS EROS Archive - National Aerial Photography Program
ShortName: USGS EROS NAPP
GeoURL: https://earthexplorer.usgs.gov/
URL:
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-aerial-photography-national-aerial-photography-program-napp?qt-science_center_objects=0#qt-science_center_objects


ArchiveKey: W6LUVF
Country: USA
LongName: USGS EROS Archive - National High Altitude Photography
ShortName: USGS EROS NHAP
GeoURL: https://earthexplorer.usgs.gov/
URL:
https://www.usgs.gov/centers/eros/science/usgs-eros-archive-aerial-photography-national-high-altitude-photography-nhap


