Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset

Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset

Typically, digital image processing for burned-areas detection combines the use of a spectral index and the seasonal differencing method. However, the seasonal differencing has many errors when applied to a long-term time series. This article aims to develop and test two methods as an alternative to...

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Bibliographic Details
Main Authors: Osmar Abílio de Carvalho Júnior, Renato Fontes Guimarães, Cristiano Rosa Silva, Roberto Arnaldo Trancoso Gomes
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Remote Sensing
Subjects:
normalization
fire
savanna
digital image processing
image differencing
Online Access:http://www.mdpi.com/2072-4292/7/6/6950

Internet

http://www.mdpi.com/2072-4292/7/6/6950

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