Automatic Deforestation Detection Methodology Using Sentinel-1

It has been developed an automatic deforestation detection methodology using Sentinel-1 data, acquired in Interferometric Wide Swath (IW) mode and using VH polarization. The methodology includes the application of the Gamma-Map filter, the calculation of average images, the application of a deforest...

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Bibliographic Details
Published inIGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium pp. 6590 - 6593
Main Authors Vargas, Christian, Itoh, Takuya, Tsuji, Shinichiro, Koide, Takahiro, Hirose, Kazuyo, Okonogi, Hiroaki
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2019
Subjects
Adaptive optics
Agriculture
C-band SAR
Clouds
Deforestation detection
Forestry
Humid Tropical Forest
Optical filters
Optical imaging
Peru
Sentinel-1
Synthetic aperture radar
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Summary:It has been developed an automatic deforestation detection methodology using Sentinel-1 data, acquired in Interferometric Wide Swath (IW) mode and using VH polarization. The methodology includes the application of the Gamma-Map filter, the calculation of average images, the application of a deforestation detection algorithm, and the minimum unit of mapping was 1 ha. The methodology was tested in three pilot areas within the tropical humid forests of Peru, and it obtained a user's accuracy greater than 95%.
ISSN:2153-7003
DOI:10.1109/IGARSS.2019.8898609