Best band combination for landslide studies in temperate environments
Multi-spectral imagery has great potential for the detection and delineation of landslides in temperate areas due to its ability to show changes in surface material properties. In this study, an assessment of the best band combination of the eleven-band Airborne Thematic Mapper (ATM) imagery for lan...
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Format: | Article |
Language: | English English |
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Informa plc
2006
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Online Access: | http://psasir.upm.edu.my/id/eprint/9407/1/Best%20band%20combination%20for%20landslide%20studies%20in%20temperate%20environments.pdf |
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author | Ramli, Mohammad Firuz Petley, Dave N. |
author_facet | Ramli, Mohammad Firuz Petley, Dave N. |
author_sort | Ramli, Mohammad Firuz |
collection | UPM |
description | Multi-spectral imagery has great potential for the detection and delineation of landslides in temperate areas due to its ability to show changes in surface material properties. In this study, an assessment of the best band combination of the eleven-band Airborne Thematic Mapper (ATM) imagery for landslide studies was undertaken. The ATM composite image for Stonebarrow Hill in West Dorset, an area that is renowned for landslide activity, was assessed by comparing the image with a 1: 2000-scale geomorphological map compiled through ground mapping. A suggestion of the best band combination to be used under various conditions, such as in arable and pasture lands, heavily vegetated areas and shadow affected areas, is presented. |
first_indexed | 2024-03-06T07:18:07Z |
format | Article |
id | upm.eprints-9407 |
institution | Universiti Putra Malaysia |
language | English English |
last_indexed | 2024-03-06T07:18:07Z |
publishDate | 2006 |
publisher | Informa plc |
record_format | dspace |
spelling | upm.eprints-94072015-10-29T07:09:44Z http://psasir.upm.edu.my/id/eprint/9407/ Best band combination for landslide studies in temperate environments Ramli, Mohammad Firuz Petley, Dave N. Multi-spectral imagery has great potential for the detection and delineation of landslides in temperate areas due to its ability to show changes in surface material properties. In this study, an assessment of the best band combination of the eleven-band Airborne Thematic Mapper (ATM) imagery for landslide studies was undertaken. The ATM composite image for Stonebarrow Hill in West Dorset, an area that is renowned for landslide activity, was assessed by comparing the image with a 1: 2000-scale geomorphological map compiled through ground mapping. A suggestion of the best band combination to be used under various conditions, such as in arable and pasture lands, heavily vegetated areas and shadow affected areas, is presented. Informa plc 2006-03-20 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/9407/1/Best%20band%20combination%20for%20landslide%20studies%20in%20temperate%20environments.pdf Ramli, Mohammad Firuz and Petley, Dave N. (2006) Best band combination for landslide studies in temperate environments. International Journal of Remote Sensing, 27 (6). pp. 1219-1231. ISSN 0143-1161 http://dx.doi.org/10.1080/01431160500306740 Atmospheric temperature Geomorphology Landslides 10.1080/01431160500306740 English |
spellingShingle | Atmospheric temperature Geomorphology Landslides Ramli, Mohammad Firuz Petley, Dave N. Best band combination for landslide studies in temperate environments |
title | Best band combination for landslide studies in temperate environments |
title_full | Best band combination for landslide studies in temperate environments |
title_fullStr | Best band combination for landslide studies in temperate environments |
title_full_unstemmed | Best band combination for landslide studies in temperate environments |
title_short | Best band combination for landslide studies in temperate environments |
title_sort | best band combination for landslide studies in temperate environments |
topic | Atmospheric temperature Geomorphology Landslides |
url | http://psasir.upm.edu.my/id/eprint/9407/1/Best%20band%20combination%20for%20landslide%20studies%20in%20temperate%20environments.pdf |
work_keys_str_mv | AT ramlimohammadfiruz bestbandcombinationforlandslidestudiesintemperateenvironments AT petleydaven bestbandcombinationforlandslidestudiesintemperateenvironments |