Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas
The aim of the topographic normalization of remotely sensed imagery is to reduce reflectance variability caused by steep terrain and thus improve further processing of images. A process of topographic correction was applied to Landsat imagery in a mountainous forest area in the south of Mexico. The...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-09-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/6/9/287 |
id |
doaj-84548b68631645969432b555a512ae61 |
---|---|
record_format |
Article |
spelling |
doaj-84548b68631645969432b555a512ae612020-11-24T23:08:34ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-09-016928710.3390/ijgi6090287ijgi6090287Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest AreasRené Vázquez-Jiménez0Raúl Romero-Calcerrada1Rocío N. Ramos-Bernal2Patricia Arrogante-Funes3Carlos J. Novillo4Cuerpo Académico UAGro CA-93 Riesgos Naturales y Geotecnología, Universidad Autónoma de Guerrero, Av/Lázaro Cárdenas s/n, CU, Chilpancingo 39070, Guerrero, MexicoGeography Group, Departamento de Ciencias de la Educación, Lenguaje, Cultura y Artes, Ciencias Histórica-Jurídicas y Humanísticas y Lenguas Modernas, Facultad de Ciencias Jurídicas y Sociales, Universidad Rey Juan Carlos, Paseo de los Artilleros s/n, Vicálvaro 28032, Madrid, SpainCuerpo Académico UAGro CA-93 Riesgos Naturales y Geotecnología, Universidad Autónoma de Guerrero, Av/Lázaro Cárdenas s/n, CU, Chilpancingo 39070, Guerrero, MexicoDepartamento de Tecnología Química y Energética, Tecnología Química y Ambiental y Tecnología Mecánica, Universidad Rey Juan Carlos, C/Tulipán s/n, Móstoles 28933, Madrid, SpainDepartamento de Tecnología Química y Energética, Tecnología Química y Ambiental y Tecnología Mecánica, Universidad Rey Juan Carlos, C/Tulipán s/n, Móstoles 28933, Madrid, SpainThe aim of the topographic normalization of remotely sensed imagery is to reduce reflectance variability caused by steep terrain and thus improve further processing of images. A process of topographic correction was applied to Landsat imagery in a mountainous forest area in the south of Mexico. The method used was the Sun Canopy Sensor + C correction (SCS + C) where the C parameter was differently determined according to a classification of the topographic slopes of the studied area in nine classes for each band, instead of using a single C parameter for each band. A comparative, visual, and numerical analysis of the normalized reflectance was performed based on the corrected images. The results showed that the correction by slope classification improves the elimination of the effect of shadows and relief, especially in steep slope areas, modifying the normalized reflectance values according to the combination of slope, aspect, and solar geometry, obtaining reflectance values more suitable than the correction by non-slope classification. The application of the proposed method can be generalized, improving its performance in forest mountainous areas.https://www.mdpi.com/2220-9964/6/9/287Landsattopographic correctionSCS + C (sun canopy sensor + correction)slope classificationmountainous areas |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
René Vázquez-Jiménez Raúl Romero-Calcerrada Rocío N. Ramos-Bernal Patricia Arrogante-Funes Carlos J. Novillo |
spellingShingle |
René Vázquez-Jiménez Raúl Romero-Calcerrada Rocío N. Ramos-Bernal Patricia Arrogante-Funes Carlos J. Novillo Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas ISPRS International Journal of Geo-Information Landsat topographic correction SCS + C (sun canopy sensor + correction) slope classification mountainous areas |
author_facet |
René Vázquez-Jiménez Raúl Romero-Calcerrada Rocío N. Ramos-Bernal Patricia Arrogante-Funes Carlos J. Novillo |
author_sort |
René Vázquez-Jiménez |
title |
Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas |
title_short |
Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas |
title_full |
Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas |
title_fullStr |
Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas |
title_full_unstemmed |
Topographic Correction to Landsat Imagery through Slope Classification by Applying the SCS + C Method in Mountainous Forest Areas |
title_sort |
topographic correction to landsat imagery through slope classification by applying the scs + c method in mountainous forest areas |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2017-09-01 |
description |
The aim of the topographic normalization of remotely sensed imagery is to reduce reflectance variability caused by steep terrain and thus improve further processing of images. A process of topographic correction was applied to Landsat imagery in a mountainous forest area in the south of Mexico. The method used was the Sun Canopy Sensor + C correction (SCS + C) where the C parameter was differently determined according to a classification of the topographic slopes of the studied area in nine classes for each band, instead of using a single C parameter for each band. A comparative, visual, and numerical analysis of the normalized reflectance was performed based on the corrected images. The results showed that the correction by slope classification improves the elimination of the effect of shadows and relief, especially in steep slope areas, modifying the normalized reflectance values according to the combination of slope, aspect, and solar geometry, obtaining reflectance values more suitable than the correction by non-slope classification. The application of the proposed method can be generalized, improving its performance in forest mountainous areas. |
topic |
Landsat topographic correction SCS + C (sun canopy sensor + correction) slope classification mountainous areas |
url |
https://www.mdpi.com/2220-9964/6/9/287 |
work_keys_str_mv |
AT renevazquezjimenez topographiccorrectiontolandsatimagerythroughslopeclassificationbyapplyingthescscmethodinmountainousforestareas AT raulromerocalcerrada topographiccorrectiontolandsatimagerythroughslopeclassificationbyapplyingthescscmethodinmountainousforestareas AT rocionramosbernal topographiccorrectiontolandsatimagerythroughslopeclassificationbyapplyingthescscmethodinmountainousforestareas AT patriciaarrogantefunes topographiccorrectiontolandsatimagerythroughslopeclassificationbyapplyingthescscmethodinmountainousforestareas AT carlosjnovillo topographiccorrectiontolandsatimagerythroughslopeclassificationbyapplyingthescscmethodinmountainousforestareas |
_version_ |
1725613591040622592 |