AI-ForestWatch: semantic segmentation based end-to-end framework for forest estimation and change detection using multi-spectral remote sensing imagery-Reference-Cited by-同舟云学术

AI-ForestWatch: semantic segmentation based end-to-end framework for forest estimation and change detection using multi-spectral remote sensing imagery

Published:2021-05-31 Issue:02 Volume:15 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Zulfiqar Annus¹,Ghaffar Muhammad M.²,Shahzad Muhammad¹,Weis Christian²,Malik Muhammad I.¹,Shafait Faisal¹,Wehn Norbert²

Affiliation:

1. National University of Sciences and Technology, School of Electrical Engineering and Computer Scienc

2. Technische Universität Kaiserslautern, Department of Electrical and Computer Engineering, Microelect

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference50 articles.

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3. Mapping tree height distributions in Sub-Saharan Africa using Landsat 7 and 8 data

4. New global forest/non-forest maps from ALOS PALSAR data (2007–2010)

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