DocumentCode
2104200
Title
Identification of the tropical forest in Brazilian Amazon based on the DEM difference from P and X bands interferometric data
Author
Mura, José Claudio ; Bins, Leonardo Sant´Anna ; Gama, Fabio Furlan ; da Costa Freitas, Corina ; Santos, João Roberto dos ; Dutra, Luciano Vieira
Author_Institution
Instituto Nacional de Pesquisas Espaciais, Brazil
Volume
2
fYear
2001
fDate
2001
Firstpage
789
Abstract
In this paper the difference between digital elevation models, derived from P and X bands interferometric data, is used as a main information to identify land cover classes. The radar data used in this work were collected on September of 2000 over Tapajos National Forest, which is a region of Brazilian Amazon, Para State. The SAR images were acquired from an airborne polarimetric system, AeS-1, that could provide P and X bands interferometric data. During the radar mission ground survey was carried out, and the georeferenced information about the forest typology were acquired, and used as a support for the thematic identification and calibration of the remoted sensing data. The X-band DEM was generated using one-pass interferometric data and the P-band DEM was generated using two-pass interferometric data. The grid of the DEMs has a spatial resolution of 2.5 meters. Images from P and X bands and coherence maps were also used in order to improve the classification. Supervised and unsupervised classifications techniques are used and their results are shown
Keywords
forestry; geophysical techniques; remote sensing by radar; synthetic aperture radar; vegetation mapping; Amazon; Brazil; DEM difference; InSAR; P-band; Para State; SAR; SAR interferometry; SHF; Tapajas; UHF; VHF; X-band; digital elevation model; geophysical measurement technique; land cover class; radar remote sensing; tropical forest; vegetation mapping; Electronic mail; Image analysis; Image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.976637
Filename
976637
Link To Document