학술논문

Next-Generation L-Band SAR Deforestation Detection for Operational Forest Early Warning in the Tropics
Document Type
Conference
Source
IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :2633-2636 Jul, 2023
Subject
Aerospace
Components, Circuits, Devices and Systems
Fields, Waves and Electromagnetics
Geoscience
Signal Processing and Analysis
Surveys
Image quality
Microwave technology
Reliability
Optical sensors
Synthetic aperture radar
Monitoring
Deforestation
early warning
JJ-FAST
time-series
law enforcement
Language
ISSN
2153-7003
Abstract
Operational deforestation detection and forest early warning is one hot topic in synthetic aperture radar (SAR) Earth observation (EO) today. Especially in tropical regions where persistent cloud coverage is incapacitating optical sensors during large parts of the year, active microwave is regarded as the most promising technology to combat illegal and unsustainable deforestation activities. The key aspect for a true EWS is the timely detections of fresh and ongoing deforestation activities in a matter of days. allowing authorities to act on a given warning in meaningful fashion, e.g., inspecting detected sites, detain deforesters and pretend the remaining forest from further destruction. The development of JAXA’s next-generation algorithm (NGA) for deforestation detection builds upon the important breakthroughs in long-term pantropical forest monitoring made by the ALOS-2 mission. A field survey conducted in the Brazilian Amazon verified the unparalleled performance of the NGA to reliably detect ongoing deforestation.