Mapping land cover types in Amazon basin using 1km JERS-1 mosaic

Sassan S. Saatchi, Bruce Nelson, Erika Podest, John Holt

Research output: Contribution to conferencePaper

Abstract

In this paper, the 100 meter JERS-1 Amazon mosaic image was used in a new classifier to generate a 1 km resolution land cover map. The inputs to the classifier were 1km resolution mean backscatter and seven first order texture measures derived from the 100 m data by using a 10 × 10 independent sampling window. The classification approach included two independent stages: 1) a supervised maximum a posteriori Baysian approach to classify the mean backscatter image into 5 general land cover categories of forest, savanna, inundated, white sand, and anthropogenic vegetation classes, and 2) a texture measure decision rule approach to further discriminate subcategory classes based on taxonime information and biomass levels. Fourteen classes were successfully separated at 1km scale. The results were verified by examining the accuracy of the approach by comparison with the IBGE and the AVHRR 1 km resolution land cover maps.

Original languageEnglish (US)
Pages934-936
Number of pages3
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Ger
Duration: Jun 28 1999Jul 2 1999

Other

OtherProceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
CityHamburg, Ger
Period6/28/997/2/99

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ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Saatchi, S. S., Nelson, B., Podest, E., & Holt, J. (1999). Mapping land cover types in Amazon basin using 1km JERS-1 mosaic. 934-936. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, .