Detection of forest windthrows with bitemporal COSMO-SkyMed and Sentinel-1 SAR data-Reference-Cited by-同舟云学术

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Detection of forest windthrows with bitemporal COSMO-SkyMed and Sentinel-1 SAR data

Published:2023-11 Issue: Volume:297 Page:113787
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Dalponte Michele,Solano-Correa Yady Tatiana,Marinelli Daniele,Liu Sicong,Yokoya Naoto,Gianelle Damiano

Funder

INEA

European Commission

Agenzia Spaziale Italiana

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference63 articles.

1. Burned area detection using multi-sensor SAR, optical, and thermal data in Mediterranean pine forest;Abdikan;Forests,2022

2. How does silviculture affect storm damage in forests of South-Western Germany? Results from empirical modeling based on long-term observations;Albrecht;Eur. J. For. Res.,2012

3. Near real-time wildfire progression monitoring with Sentinel-1 SAR time series and deep learning;Ban;Sci. Rep.,2020

4. CNN-based burned area mapping using radar and optical data;Belenguer-Plomer;Remote Sens. Environ.,2021

5. On the use of interferometric synthetic aperture radar data for monitoring and forecasting natural hazards;Bernardi;Math. Geosci.,2021

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