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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2008-11-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/8/11/7035/ |
| _version_ | 1811263268570791936 |
|---|---|
| author | Jingwei Wu Bernard Vincent Sami Bouarfa Jinzhong Yang Alain Vidal |
| author_facet | Jingwei Wu Bernard Vincent Sami Bouarfa Jinzhong Yang Alain Vidal |
| author_sort | Jingwei Wu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T19:42:41Z |
| format | Article |
| id | doaj.art-177e9adcf3a6483593bb839400b6cdc8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-12T19:42:41Z |
| publishDate | 2008-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-177e9adcf3a6483593bb839400b6cdc82022-12-22T03:19:02ZengMDPI AGSensors1424-82202008-11-018117035704910.3390/s8117035Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, ChinaJingwei WuBernard VincentSami BouarfaJinzhong YangAlain VidalThis 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.http://www.mdpi.com/1424-8220/8/11/7035/Remote sensingchanging soil salinityHetao Irrigation District |
| spellingShingle | Jingwei Wu Bernard Vincent Sami Bouarfa Jinzhong Yang Alain Vidal Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China Sensors Remote sensing changing soil salinity Hetao Irrigation District |
| 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 | Remote sensing changing soil salinity Hetao Irrigation District |
| url | http://www.mdpi.com/1424-8220/8/11/7035/ |
| work_keys_str_mv | AT jingweiwu remotesensingmonitoringofchangesinsoilsalinityacasestudyininnermongoliachina AT bernardvincent remotesensingmonitoringofchangesinsoilsalinityacasestudyininnermongoliachina AT samibouarfa remotesensingmonitoringofchangesinsoilsalinityacasestudyininnermongoliachina AT jinzhongyang remotesensingmonitoringofchangesinsoilsalinityacasestudyininnermongoliachina AT alainvidal remotesensingmonitoringofchangesinsoilsalinityacasestudyininnermongoliachina |