Landslide inventory using image fusion techniques in Brazil

被引：52

作者：

Marcelino, Emerson Vieira ^{[1
]}

Formaggio, Antonio Roberto ^{[1
]}

Maeda, Eduardo Eiji ^{[1
,2
]}

机构：

[1] Natl Inst Space Res INPE, Earth Observ Directory, BR-12245970 Sao Jose Dos Campos, SP, Brazil

[2] Univ Helsinki, Dept Geog, FIN-00014 Helsinki, Finland

来源：

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2009年 / 11卷 / 03期

关键词：

Landslide; Inventory map; Image fusion; Brazil; LANDSAT TM; MULTIRESOLUTION; TRANSFORM; GIS;

D O I：

10.1016/j.jag.2009.01.003

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

The present work aims to assess the accuracy of six fusion techniques (Brovey, IHS, HSV, PCA, WTYO and WTVE) in order to compile landslide inventories using orbital images (ETM+ and PAN HRV). The study area is characterized by steep terrain and dense forest in Caraguatatuba, Sao Paulo State, Brazil. In terms of spatial quality, the Wavelet Transform technique provided the best results, presenting correlations above 90%. As for spectral quality, the best results were obtained with the IHS fusion. Based on the results, it may be concluded that the IHS is the best technique for preserving spatial and spectral information from the original images, so as to more clearly identify landslide scars. However, it was still not possible to typify the landslides from remote sensing data. Nonetheless, it is believed that image fusion techniques adequately met expectations in terms of their capacity to identify landslide for the creation of an inventory for the studied area. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：181 / 191

页数：11

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