Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh
Soil salinity is a negative impact of climate change, and it is a significant problem for the coastal region of Bangladesh, which has been increasing in the last four decades. The issue of soil salinity substantially limits the agricultural crop production in coastal areas. Therefore, a soil salinit...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-10-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/10/1784 |
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| author | Billal Hossen Helmut Yabar Md Jamal Faruque |
| author_facet | Billal Hossen Helmut Yabar Md Jamal Faruque |
| author_sort | Billal Hossen |
| collection | DOAJ |
| description | Soil salinity is a negative impact of climate change, and it is a significant problem for the coastal region of Bangladesh, which has been increasing in the last four decades. The issue of soil salinity substantially limits the agricultural crop production in coastal areas. Therefore, a soil salinity assessment is essential for proper land-use planning in agricultural crop production. This research was carried out to determine the soil salinity area with different salinity levels in Barguna Sadar Upazila (sub-district). The remote sensing technique, which is a potentially quick yet effective method for the soil salinity estimation in data-scarce conditions, was applied. The methodology employed the Landsat 8 OLI dataset along with nine soil salinity indices to develop a soil salinity map. The maps were from Soil Resource Development Institute (SRDI), and low NDVI value (−0.01 to 0.48) was produced using satellite images illustrate the extent of the soil salinity for the study area. However, nine linear regressions, which were made between the pixel value of the satellite-based generated map and ground truth soil salinity data, that is, the EC value, indicate a maximum R<sup>2</sup> value for the salinity index SI 7 = G × R/B, representing a value of 0.022. This minimal R<sup>2</sup> value indicates a negligible relationship between the ground EC value and the pixel value of the salinity index generated map, inferring that the indices are not sufficient to assess the soil salinity. Nonetheless, this research’s findings offer a guide for researchers to investigate alternative geospatial approaches for this geophysical condition. |
| first_indexed | 2024-03-09T03:35:25Z |
| format | Article |
| id | doaj.art-4e4b9ba1dcce43dea0f9eecf4d7e4ee0 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T03:35:25Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-4e4b9ba1dcce43dea0f9eecf4d7e4ee02023-12-03T14:49:40ZengMDPI AGLand2073-445X2022-10-011110178410.3390/land11101784Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of BangladeshBillal Hossen0Helmut Yabar1Md Jamal Faruque2Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, JapanGraduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8572, JapanBangladesh Agricultural Development Corporation (BADC), Dhaka 1000, BangladeshSoil salinity is a negative impact of climate change, and it is a significant problem for the coastal region of Bangladesh, which has been increasing in the last four decades. The issue of soil salinity substantially limits the agricultural crop production in coastal areas. Therefore, a soil salinity assessment is essential for proper land-use planning in agricultural crop production. This research was carried out to determine the soil salinity area with different salinity levels in Barguna Sadar Upazila (sub-district). The remote sensing technique, which is a potentially quick yet effective method for the soil salinity estimation in data-scarce conditions, was applied. The methodology employed the Landsat 8 OLI dataset along with nine soil salinity indices to develop a soil salinity map. The maps were from Soil Resource Development Institute (SRDI), and low NDVI value (−0.01 to 0.48) was produced using satellite images illustrate the extent of the soil salinity for the study area. However, nine linear regressions, which were made between the pixel value of the satellite-based generated map and ground truth soil salinity data, that is, the EC value, indicate a maximum R<sup>2</sup> value for the salinity index SI 7 = G × R/B, representing a value of 0.022. This minimal R<sup>2</sup> value indicates a negligible relationship between the ground EC value and the pixel value of the salinity index generated map, inferring that the indices are not sufficient to assess the soil salinity. Nonetheless, this research’s findings offer a guide for researchers to investigate alternative geospatial approaches for this geophysical condition.https://www.mdpi.com/2073-445X/11/10/1784soil salinitycoastal regionremote sensingelectrical conductivitysalinity index |
| spellingShingle | Billal Hossen Helmut Yabar Md Jamal Faruque Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh Land soil salinity coastal region remote sensing electrical conductivity salinity index |
| title | Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh |
| title_full | Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh |
| title_fullStr | Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh |
| title_full_unstemmed | Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh |
| title_short | Exploring the Potential of Soil Salinity Assessment through Remote Sensing and GIS: Case Study in the Coastal Rural Areas of Bangladesh |
| title_sort | exploring the potential of soil salinity assessment through remote sensing and gis case study in the coastal rural areas of bangladesh |
| topic | soil salinity coastal region remote sensing electrical conductivity salinity index |
| url | https://www.mdpi.com/2073-445X/11/10/1784 |
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