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Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China

This study used archived remote sensing images to depict the history of changes in soil salinity in the Hetao Irrigation District in Inner Mongolia, China, with the purpose of linking these changes with land and water management practices and to draw lessons for salinity control. Most data came from...

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Autores principales: Wu, Jingwei, Vincent, Bernard, Yang, Jinzhong, Bouarfa, Sami, Vidal, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787430/
https://www.ncbi.nlm.nih.gov/pubmed/27873914
http://dx.doi.org/10.3390/s8117035
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author Wu, Jingwei
Vincent, Bernard
Yang, Jinzhong
Bouarfa, Sami
Vidal, Alain
author_facet Wu, Jingwei
Vincent, Bernard
Yang, Jinzhong
Bouarfa, Sami
Vidal, Alain
author_sort Wu, Jingwei
collection PubMed
description This study used archived remote sensing images to depict the history of changes in soil salinity in the Hetao Irrigation District in Inner Mongolia, China, with the purpose of linking these changes with land and water management practices and to draw lessons for salinity control. Most data came from LANDSAT satellite images taken in 1973, 1977, 1988, 1991, 1996, 2001, and 2006. In these years salt-affected areas were detected using a normal supervised classification method. Corresponding cropped areas were detected from NVDI (Normalized Difference Vegetation Index) values using an unsupervised method. Field samples and agricultural statistics were used to estimate the accuracy of the classification. Historical data concerning irrigation/drainage and the groundwater table were used to analyze the relation between changes in soil salinity and land and water management practices. Results showed that: (1) the overall accuracy of remote sensing in detecting soil salinity was 90.2%, and in detecting cropped area, 98%; (2) the installation/innovation of the drainage system did help to control salinity; and (3) a low ratio of cropped land helped control salinity in the Hetao Irrigation District. These findings suggest that remote sensing is a useful tool to detect soil salinity and has potential in evaluating and improving land and water management practices.
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spelling pubmed-37874302013-10-17 Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China Wu, Jingwei Vincent, Bernard Yang, Jinzhong Bouarfa, Sami Vidal, Alain Sensors (Basel) Article This study used archived remote sensing images to depict the history of changes in soil salinity in the Hetao Irrigation District in Inner Mongolia, China, with the purpose of linking these changes with land and water management practices and to draw lessons for salinity control. Most data came from LANDSAT satellite images taken in 1973, 1977, 1988, 1991, 1996, 2001, and 2006. In these years salt-affected areas were detected using a normal supervised classification method. Corresponding cropped areas were detected from NVDI (Normalized Difference Vegetation Index) values using an unsupervised method. Field samples and agricultural statistics were used to estimate the accuracy of the classification. Historical data concerning irrigation/drainage and the groundwater table were used to analyze the relation between changes in soil salinity and land and water management practices. Results showed that: (1) the overall accuracy of remote sensing in detecting soil salinity was 90.2%, and in detecting cropped area, 98%; (2) the installation/innovation of the drainage system did help to control salinity; and (3) a low ratio of cropped land helped control salinity in the Hetao Irrigation District. These findings suggest that remote sensing is a useful tool to detect soil salinity and has potential in evaluating and improving land and water management practices. Molecular Diversity Preservation International (MDPI) 2008-11-07 /pmc/articles/PMC3787430/ /pubmed/27873914 http://dx.doi.org/10.3390/s8117035 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Wu, Jingwei
Vincent, Bernard
Yang, Jinzhong
Bouarfa, Sami
Vidal, Alain
Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China
title Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China
title_full Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China
title_fullStr Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China
title_full_unstemmed Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China
title_short Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China
title_sort remote sensing monitoring of changes in soil salinity: a case study in inner mongolia, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787430/
https://www.ncbi.nlm.nih.gov/pubmed/27873914
http://dx.doi.org/10.3390/s8117035
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