Refined algorithm for forest early warning system with ALOS-2/PALSAR-2 ScanSAR data in tropical forest regions-Reference-Cited by-同舟云学术

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Refined algorithm for forest early warning system with ALOS-2/PALSAR-2 ScanSAR data in tropical forest regions

Published:2021-11 Issue: Volume:265 Page:112643
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Watanabe Manabu,Koyama Christian N.,Hayashi Masato,Nagatani Izumi,Tadono Takeo,Shimada Masanobu

Funder

Japan Aerospace Exploration Agency

Japan International Cooperation Agency

Tokyo Denki University

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference57 articles.

1. SLIC superpixels compared to state-of-the-art superpixel methods;Achanta;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. Evaluation and perspectives of using multitemporal L-band SAR data to monitor deforestation in the Brazilian Amazônia;Almeida-Filho;IEEE Geosci. Rem. Sens. Lett.,2005

3. Use of the SAR shadowing effect for deforestation detection with sentinel-1 time series;Bouvet;Remote Sens.,2018

4. Metodologia para o Cálculo da Taxa Anual de Desmatamento na Amazônia Legal;Camara,2013

Cited by 34 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ALOS-2 PALSAR-2 ScanSAR and Sentinel-1 data for timely tropical forest disturbance mapping: A case study for Sumatra, Indonesia;International Journal of Applied Earth Observation and Geoinformation;2024-08

2. A near-real-time tropical deforestation monitoring algorithm based on the CuSum change detection method;Frontiers in Remote Sensing;2024-07-26

3. Sensitivity of Sentinel-1 Backscatter to Management-Related Disturbances in Temperate Forests;Remote Sensing;2024-04-27

4. Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence;Environmental Research Letters;2024-04-16

5. Detecting forest fire omission error based on data fusion at subpixel scale;International Journal of Applied Earth Observation and Geoinformation;2024-04

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