Using Gradient Pattern Analysis for land use and land cover change detection

Author

De Freitas, Ramon Morais ; Rosa, Reinaldo Roberto ; Shimabukuro, Yosio E.

Author_Institution

Inst. Nac. de Pesquisas Espaciais (INPE), São José dos Campos, Brazil

fYear

2010

fDate

25-30 July 2010

Firstpage

3648

Lastpage

3651

Abstract

In this work, the computational operation based on Gradient Pattern Analysis - GPA was applied for the first time in MODIS spatial-temporal images over the Amazon region. The study area is located in the Pará State, eastern Brazilian Amazonia. Using MOD09 8-day composite product from 2000 to 2009 was elaborated the EVI2 spatial-temporal series of the study area. For each pixel we performed smooth time-series applying wavelets transform method for noise reduction. The GPA objective was characterizing small symmetry breaking, amplitude and phase disorder due to spatial-temporal fluctuations driven by the deforestation and flooded changes detected by MODIS images. For the characterization of spatial-temporal series the Gradient Pattern Analysis showed a new approach to understand LULC changes in the remote sensing images.

Keywords

geophysical image processing; terrain mapping; wavelet transforms; Brazil; gradient pattern analysis; land cover change detection; land use detection; spatial temporal image; wavelet transform method; Diversity reception; Indexes; MODIS; Pattern analysis; Pixel; Remote sensing; Amazonia; Gradient Pattern Analysis; LULC; deforestation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Conference_Location

Honolulu, HI

ISSN

2153-6996

Print_ISBN

978-1-4244-9565-8

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2010.5650698

Filename

5650698