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08 Jul 2026
Comparing DeepLabv3+ and Depth Anything V2 on Canopy Height Model Prediction on a Continental Scale Dataset of Australia
Kevin Qiu, Rewanth Ravindran, Nicolas Pucino, Dimitri Bulatov, Shaun Levick, Martin Brand, Dorota Iwaszczuk, and Tim R. McVicar
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Unsupervised Bushfire Burn Severity Mapping Using Aerial and Satellite Imagery
Ting Bai, Dominik Stütz, Chang Liu, Dimitri Bulatov, Jorg Hacker, and Linlin Ge
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 29–36, https://doi.org/10.5194/isprs-annals-X-4-2024-29-2024,https://doi.org/10.5194/isprs-annals-X-4-2024-29-2024, 2024
BACKPACK SYSTEM FOR CAPTURING 3D POINT CLOUDS OF FORESTS
M. Goebel and D. Iwaszczuk
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 695–702, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-695-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-695-2023, 2023
PARAMETER OPTIMIZATION FOR A THERMAL SIMULATION OF AN URBAN AREA
B. Kottler, S. Fischer, E. Strauss, D. Bulatov, and P. Helmholz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 271–278, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-271-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-271-2023, 2023
FORMS: Forest Multiple Source height, wood volume, and biomass maps in France at 10 to 30 m resolution based on Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI) data with a deep learning approach
Martin Schwartz, Philippe Ciais, Aurélien De Truchis, Jérôme Chave, Catherine Ottlé, Cedric Vega, Jean-Pierre Wigneron, Manuel Nicolas, Sami Jouaber, Siyu Liu, Martin Brandt, and Ibrahim Fayad
Earth Syst. Sci. Data, 15, 4927–4945, https://doi.org/10.5194/essd-15-4927-2023,https://doi.org/10.5194/essd-15-4927-2023, 2023
Short summary
CURRENT STATUS OF THE BENCHMARK DATABASE BEMEDA
L. E. Budde, J. Schmidt, T. Kullmann, and D. Iwaszczuk
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W3-2023, 25–30, https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-25-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W3-2023-25-2023, 2023
POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS
D. Iwaszczuk, M. Goebel, Y. Du, J. Schmidt, and M. Weinmann
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W1-2023, 199–206, https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-199-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W1-2023-199-2023, 2023
ASSESSING GEO-TYPICAL TECHNIQUES FOR MODELING BUILDINGS USING THERMAL SIMULATIONS
D. Bulatov, B. Kottler, E. Strauss, G. Häufel, M. May, P. Helmholz, and F. Mancini
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2022, 251–258, https://doi.org/10.5194/isprs-annals-V-4-2022-251-2022,https://doi.org/10.5194/isprs-annals-V-4-2022-251-2022, 2022
QUANTIFYING THE IMPACT OF URBAN INFILL ON THE URBAN HEAT ISLAND EFFECT – A CASE STUDY FOR AN ALTERNATIVE MEDIUM DENSITY MODEL
P. Helmholz, D. Bulatov, B. Kottler, P. Burton, F. Mancini, M. May, E. Strauß, and M. Hecht
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4-W1-2021, 43–50, https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-43-2021,https://doi.org/10.5194/isprs-archives-XLVI-4-W1-2021-43-2021, 2021