Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 74, Issue -, Pages 34-40Publisher
ELSEVIER
DOI: 10.1016/j.isprsjprs.2012.07.003
Keywords
PALSAR/ALOS; MODIS; Radar; SAR; Amazonia; Brazil
Categories
Funding
- NASA Land Use and Land Cover Change Program [NNX09Ac39G]
- National Institutes of Health through the NSF/NIH Ecology of Infectious Diseases Program [R01-TW007869]
- National Science Foundation (NSF) EPSCoR Program [NSF-0919466]
- NASA [120631, NNX09AC39G] Funding Source: Federal RePORTER
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In this study, we evaluate a methodology that uses dual-polarization L-band SAR 500-m mosaic PALSAR imagery to identify and map forests in the Brazilian Amazon and an algorithm that uses time-series MODIS imagery to map evergreen forest. IKONOS images were used to evaluate forest maps derived from PALSAR and MODIS imagery. A comparison between the PALSAR forest map and IKONOS forest maps shows that 91.4% of PALSAR-derived forest pixels had greater than 60% IKONOS-derived forest area. We also compared the PALSAR-derived forest map with the MODIS-derived evergreen forest map. Out of 1999 evergreen forest pixels in the MODIS evergreen forest map (the areas covered by the 11 IKONOS imagery), 1934 pixels were identified as forest by the PALSAR forest map, approximately 96.7% agreement. The results of this study highlight the potential of combining PALSAR and MODIS data for identifying and mapping evergreen forests in the Amazon. (c) 2012 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
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