( en | de | ru )

 

Disambiguation of "Herold, Martin"

Author of the publication

copydeleteadd this publication to your clipboard
Forest Cover and Vegetation Degradation Detection in the Kavango Zambezi Transfrontier Conservation Area Using BFAST Monitor.

, , , , and . Remote. Sens., 10 (11): 1850 (2018)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Martin Herold

Martin Herold

Martin Herold

Martin Herold

Martin Herold

 

Other publications of authors with the same name

Error Sources in Deforestation Detection Using BFAST Monitor on Landsat Time Series Across Three Tropical Sites., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (8): 3667-3679 (2016)Using Space-Time Features to Improve Detection of Forest Disturbances from Landsat Time Series., , , and . Remote. Sens., 9 (6): 515 (2017)Trends in Spring Phenology of Western European Deciduous Forests., , , and . Remote. Sens., 5 (12): 6159-6179 (2013)Spatial Accuracy Assessment and Integration of Global Land Cover Datasets., , , and . Remote. Sens., 7 (12): 15804-15821 (2015)Land Use and Land Cover Area Estimates From Class Membership Probability of a Random Forest Classification., , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Spectral resolution requirements for mapping urban areas., , and . IEEE Trans. Geosci. Remote. Sens., 41 (9): 1907-1919 (2003)deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling., , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)Peering through the thicket: Effects of UAV LiDAR scanner settings and flight planning on canopy volume discovery., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)How textural features can improve SAR-based tropical forest disturbance mapping., , and . Int. J. Appl. Earth Obs. Geoinformation, (November 2023)Global data and tools for local forest cover loss and REDD+ performance assessment: Accuracy, uncertainty, complementarity and impact., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)