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  • 标题:Amazon Deforestation Monitoring System with ALOS SAR Complementary Data
  • 本地全文:下载
  • 作者:H. N. Mesquita Jr. ; C.A. Dupas ; M.C. Silva
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII-B8
  • 页码:1067-1070
  • 出版社:Copernicus Publications
  • 摘要:Deforestation monitoring for the Brazilian Amazon has been carried on by INPE since 1988, under the PRODES program, and recently, the DETER was created for faster response. The data from both programs have been used by IBAMA for operational purposes and law enforcement. However, optical sensors are limited by the presence of clouds. The ALOS was launched in 2006, and its data became available to IBAMA thought the JAXA's ALOS Kyoto and Carbon Initiative project. The study area is located in the State of Para, Brazil an area of forest facing a growing pressure of deforestation. The ScanSAR strip mode image was geo- rectified and subset and DN image values were converted to the normalized radar cross section (σo), in dB, with a calibration factor of -83 dB. The SRTM data were used to exclude the classified areas that could present relief effects on the ScanSAR image. The mean s value for recent deforested area was -5.315dB and the mean so value for preserved native forest was - 7.569dB. The executed methodology, using a threshold to classify new deforested areas, has a good potential to be the base of a semiautomatic detection system for operational purposes, using ScanSAR images. This system has potential to produce data that could complement the information already available from optical sensor satellites
  • 关键词:Environmental monitoring; SAR; Radar; Real-Time
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