Discrimination of coastal wetland environments in the Amazon region based on multi-polarized L-band airborne Synthetic Aperture Radar imagery |
| |
| Authors: | Pedro Walfir M Souza-Filho Waldir R Paradella Suzan WP Rodrigues Francisco R Costa José C Mura Fabrício D Gonçalves |
| |
| Institution: | 1. Laboratório de Análise de Imagens do Trópico Úmido, Instituto de Geociências, Universidade Federal do Pará, Cidade Universitária 1, P.O. BOX 8608, 66075-110 Belém, Pará, Brazil;2. Instituto Nacional de Pesquisas Espaciais, Divisão de Sensoriamento Remoto, São José dos Campos, São Paulo 12227-010, P.O. Box 515, Brazil;3. Universidade Federal do Pará, Faculdade de Geologia, Campus II, Folha 17, Quadra 04, Marabá, Pará, 68503-080, Brazil;4. Instituto Nacional de Pesquisas Espaciais, Divisão de Processamento de Imagem, São José dos Campos, São Paulo 12227-010, P.O. Box 515, Brazil |
| |
| Abstract: | This study assessed the use of multi-polarized L-band images for the identification of coastal wetland environments in the Amazon coast region of northern Brazil. Data were acquired with a SAR R99B sensor from the Amazon Surveillance System (SIVAM) on board a Brazilian Air Force jet. Flights took place in the framework of the 2005 MAPSAR simulation campaign, a German-Brazilian feasibility study focusing on a L-band SAR satellite. Information retrieval was based on the recognition of the interaction between a radar signal and shallow-water morphology in intertidal areas, coastal dunes, mangroves, marshes and the coastal plateau. Regarding the performance of polarizations, VV was superior for recognizing intertidal area morphology under low spring tide conditions; HH for mapping coastal environments covered with forest and scrub vegetation such as mangrove and vegetated dunes, and HV was suitable for distinguishing transition zones between mangroves and coastal plateau. The statistical results for the classification maps expressed by kappa index and general accuracy were 83.3% and 0.734 for the multi-polarized color composition (R-HH, G-HV, B-VV), 80.7% and 0.694% for HH, 79.7% and 0.673% for VV, and 77.9% and 0.645% for HV amplitude image. The results indicate that use of multi-polarized L-band SAR is a valuable source of information aiming at the identification and discrimination of distinct geomorphic targets in tropical wetlands. |
| |
| Keywords: | remote sensing Synthetic Aperture Radar multi-polarization wetlands mangrove Amazon |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
