A GIS based change detection system for the Amazon forest: Advantages and implications for the environmental monitoring and regional sustainable development

N. C. Ferreira, L. G. Ferreira, A. Huete, K. Didan, T. Miura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, we present the basis of an automated deforestation mapping system for the Brazilian Amazon Forest implemented on the ArcGIS 9.0 platform and based on the comparative analysis of the MOD13Q1 products. This system is the first operational module of the "Integrated Warning Deforestation System for the Amazon" (SIAD), an initiative of the Brazilian government within the scope of the Amazon Protection System (SIPAM), which also comprises a 1) spatial information module, aimed at the assessment of the causes and impacts of the deforested areas; 2) a prospective module indicative of future deforestation risks, and 3) a data and information gateway.

Original languageEnglish (US)
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages3474-3476
Number of pages3
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: Jul 25 2005Jul 29 2005

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume5

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
CountryKorea, Republic of
CitySeoul
Period7/25/057/29/05

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ASJC Scopus subject areas

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

Cite this

Ferreira, N. C., Ferreira, L. G., Huete, A., Didan, K., & Miura, T. (2005). A GIS based change detection system for the Amazon forest: Advantages and implications for the environmental monitoring and regional sustainable development. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium (pp. 3474-3476). [1526592] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 5). https://doi.org/10.1109/IGARSS.2005.1526592