Evaluating the Potential of L Band PolSAR Data to Discriminate Deforestation Increment Areas in Amazon Rain Forest

Author

Guerra, Júlio Bandeira ; Da Costa Freitas, Corina ; Mura, José Claudio

Author_Institution

Earth Obs. Gen. Coordination, Nat. Inst. for Space Res. (INPE)

Volume

4

fYear

2008

fDate

7-11 July 2008

Abstract

The main objective of this work is to evaluate the potential of L band PolSAR data to discriminate deforestation increment. In order to achieve this purpose, it was performed a coherent attributes exploratory analysis and a Maximum Likelihood - ICM (Iterated Conditional Modes) classification of R99B sensor L band PolSAR data. The PolSAR data classification obtained good agreement with PRODES Digital project reference map (k=0,71). This result might indicate that R99B L band PolSAR data have good potential to discriminate deforestation increment areas in Amazon Forest.

Keywords

image classification; radar polarimetry; remote sensing by radar; synthetic aperture radar; terrain mapping; vegetation mapping; Amazon rain forest; Brazil; Iterated Conditional Modes classification; L band POLSAR data; Maximum Likelihood; PRODES Digital project reference map; PolSAR data classification; R99B sensor; coherent attributes exploratory analysis; deforestation increment areas; Clouds; Covariance matrix; Performance analysis; Polarization; Rain; Remote monitoring; Remote sensing; Satellites; Scattering; Sensor phenomena and characterization; Amazon Rain Forest; L band; PolSAR data; classification; deforestation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779652

Filename

4779652