Estimating Burned Area in Mato Grosso, Brazil, Using an Object-Based Classification Method on a Systematic Sample of Medium Resolution Satellite Images

Estimating Burned Area in Mato Grosso, Brazil, Using an Object-Based Classification Method on a Systematic Sample of Medium Resolution Satellite Images

This paper presents a new approach for estimating burned areas at a regional scale, using a systematic sample of medium spatial resolution satellite images. This approach is based on a pan-tropical deforestation survey developed by the Joint Research Centre. We developed and tested our approach over...

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Bibliographic Details
Main Authors: Yosio Edemir Shimabukuro, Jukka Miettinen, Rene Beuchle, Rosana Cristina Grecchi, Dario Simonetti, Frederic Achard
Format: Article
Language:English
Published: IEEE 2015-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Image classification
Landsat
MODIS
regional and global assessment
sampling
segmentation
Online Access:https://ieeexplore.ieee.org/document/7219374/

Internet

https://ieeexplore.ieee.org/document/7219374/

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