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20 October 2023 Next-generation L-band SAR forest monitoring for highly accurate, operational deforestation early warning
Christian N. Koyama, Masanobu Shimada, Kazufumi Kobayashi, Tsutomu Yamanokuchi, Masato Hayashi, Takeo Tadono
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Proceedings Volume 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV; 127270D (2023) https://doi.org/10.1117/12.2679946
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands
Abstract
Operational deforestation detection for forest early warning systems (EWS) is a hot topic in Earth observation today. Due to the persistent cloud cover in tropical regions, active microwave is regarded as one promising technology for EWS. Despite significant progress in the last decade, a reliable, genuine deforestation EWS is still lacking, because the development of powerful algorithms demand a near perfect understanding of the forest backscatter nature. Building upon 9-years of ALOS-2 long-term pantropical forest observations with various breakthrough findings, we introduce the next-generation algorithm for L-band SAR deforestation detection which realize the first real EWS in the tropics with unmatched accuracy and speed.
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Christian N. Koyama, Masanobu Shimada, Kazufumi Kobayashi, Tsutomu Yamanokuchi, Masato Hayashi, and Takeo Tadono "Next-generation L-band SAR forest monitoring for highly accurate, operational deforestation early warning", Proc. SPIE 12727, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, 127270D (20 October 2023); https://doi.org/10.1117/12.2679946
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KEYWORDS
Synthetic aperture radar
L band
Clouds
Algorithm development
Detection and tracking algorithms
Backscatter
Imaging spectroscopy
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