Classification and monitoring of the vegetal cover and use of land using MODIS sensor data

• Grant number: 03/01727-0
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2003
• End date: June 30, 2005
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering
• Principal Investigator: Yosio Edemir Shimabukuro
• Grantee: Yosio Edemir Shimabukuro
• Host Institution: Instituto Nacional de Pesquisas Espaciais (INPE). Ministério da Ciência, Tecnologia e Inovação (Brasil). São José dos Campos , SP, Brazil

Abstract

This Project presents a methodological proposal for the Classification and monitoring of forest, cerrado and pantanal ecosystems, and detection of changes due to natural and anthropic causes. In this context, the state of Mato Grosso was chosen as the area for study, as the region possesses several vegetal formations and has been experiencing big changes in the use and cover of the land, due to the entry of agriculture and cattle farming into the regions of the cerrado, as well as the activities of clearing and burning in the region of legal Amazonia, both through natural and anthropic causes. For this purpose, data will be used from the Modis (Moderate Resolution Imaging Spectroradiometer) sensor acquired during the year 2002. This sensor was chosen as it possesses characteristics of spectral and spatial resolution which enable an improvement in the quality of the studies on regional and global scale. The general objectives of this study are: 1) to generate a map of vegetal cover of the region in a spatial resolution intermediary between the maps already produced; 2) to monitor the phenological changes in the use and cover of the land, due toclearings and burnings. To attain these objectives, we will adapt the methodologies developed for the Classification of the vegetal cover using data from the AVHRR (Advanced Very High Resolution Radiometer) and for the detection of changes in use and cover of the land. Among the results expected, we can mention the making available of a map of the vegetal cover in the state of Mato Grosso and of a methodology for the detection of cleared areas and evaluation of the areas of burnings, generated using multispectral and multitemporal information from the Modis sensor. Such information is important as a basis for the planning and management of the natural resources of the region. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LIANA OIGHENSTEIN ANDERSON; LUIZ EDUARDO OLIVEIRA E CRUZ DE ARAGÃO; ANDRÉ DE LIMA; YOSIO EDEMIR SHIMABUKURO. Detecção de cicatrizes de áreas queimadas baseada no modelo linear de mistura espectral e imagens índice de vegetação utilizando dados multitemporais do sensor MODIS/TERRA no estado do Mato Grosso, Amazônia brasileira. Acta Amazonica, v. 35, n. 4, p. 445-456, 2005-12-00. (03/01727-0)

SHIMABUKURO, YOSIO E.; ANDERSON, LIANA O.; ARAGAO, LUIZ E. O. C.; HUETE, ALFREDO; IEEE. USING FRACTION IMAGES TO STUDY NATURAL LAND COVER CHANGES IN THE AMAZON. 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, v. N/A, p. 2-pg., 2006-01-01. (03/01727-0)