Estimation of soil health in the semi‑arid regions of northwestern Iran using digital elevation model and remote sensing data
Nowadays, neglecting soil conservation issues is one of the most critical factors in reducing soil health (SH). In this regard, to facilitate the estimation of the SH in northwestern Iran, 292 soil samples were taken from a depth of 0–30 cm of this area, and a wide range of soil properties were dete...
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| creator | Zang, Mingli Wang, Xiaodong Chen, Yunling Faramarzi, Seyedeh Ensieh |
| description | Nowadays, neglecting soil conservation issues is one of the most critical factors in reducing soil health (SH). In this regard, to facilitate the estimation of the SH in northwestern Iran, 292 soil samples were taken from a depth of 0–30 cm of this area, and a wide range of soil properties were determined. Then, soil health indices (SHIs) were calculated. Simultaneously, the normalized difference vegetation index (NDVI), surface water capacity index (SWCI), and a digital elevation model (DEM) were obtained from satellite data. Finally, multiple linear regression (MLR) relationships between these parameters and SHIs were calculated. In this study, there was a highest significant positive correlation (
P
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| doi_str_mv | 10.1007/s10661-024-12527-z |
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P
< 0.01) between IHI-LTDS and SWCI (0.71**), DEM (0.76**), and NDVI (0.73**). The MLR, with both the whole total (TDS) and minimal (MDS) dataset methods, which includes the aforementioned indices, strongly described the spatial variability of the Integrated Soil Health Index (IHI) (
R
2
= 0.78, AIC = − 416, RMSE = 0.05, and ρc = 0.76). According to the results of this study, it can be said that the development of SH estimation models using remote sensing extracted parameters can be one of the effective ways to reduce the cost and time of soil sampling in extensive areas.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-024-12527-z</identifier><identifier>PMID: 38466443</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Arid regions ; Arid zones ; Atmospheric Protection/Air Quality Control/Air Pollution ; data collection ; Digital Elevation Models ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Elevation ; Environment ; Environmental Management ; Iran ; Monitoring/Environmental Analysis ; normalized difference vegetation index ; Normalized difference vegetative index ; Parameters ; regression analysis ; Remote sensing ; Satellite data ; soil ; Soil conservation ; Soil properties ; soil quality ; Soil sampling ; Spatial variability ; Spatial variations ; Surface water ; Vegetation index</subject><ispartof>Environmental monitoring and assessment, 2024-04, Vol.196 (4), p.353-353, Article 353</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c359t-783ac1736f3ca150530003b80b5c119a71d92c69264b38cb3b43dc7204a510cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-024-12527-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-024-12527-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38466443$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zang, Mingli</creatorcontrib><creatorcontrib>Wang, Xiaodong</creatorcontrib><creatorcontrib>Chen, Yunling</creatorcontrib><creatorcontrib>Faramarzi, Seyedeh Ensieh</creatorcontrib><title>Estimation of soil health in the semi‑arid regions of northwestern Iran using digital elevation model and remote sensing data</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>Nowadays, neglecting soil conservation issues is one of the most critical factors in reducing soil health (SH). In this regard, to facilitate the estimation of the SH in northwestern Iran, 292 soil samples were taken from a depth of 0–30 cm of this area, and a wide range of soil properties were determined. Then, soil health indices (SHIs) were calculated. Simultaneously, the normalized difference vegetation index (NDVI), surface water capacity index (SWCI), and a digital elevation model (DEM) were obtained from satellite data. Finally, multiple linear regression (MLR) relationships between these parameters and SHIs were calculated. In this study, there was a highest significant positive correlation (
P
< 0.01) between IHI-LTDS and SWCI (0.71**), DEM (0.76**), and NDVI (0.73**). The MLR, with both the whole total (TDS) and minimal (MDS) dataset methods, which includes the aforementioned indices, strongly described the spatial variability of the Integrated Soil Health Index (IHI) (
R
2
= 0.78, AIC = − 416, RMSE = 0.05, and ρc = 0.76). According to the results of this study, it can be said that the development of SH estimation models using remote sensing extracted parameters can be one of the effective ways to reduce the cost and time of soil sampling in extensive areas.</description><subject>Arid regions</subject><subject>Arid zones</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>data collection</subject><subject>Digital Elevation Models</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Elevation</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Iran</subject><subject>Monitoring/Environmental Analysis</subject><subject>normalized difference vegetation index</subject><subject>Normalized difference vegetative index</subject><subject>Parameters</subject><subject>regression analysis</subject><subject>Remote sensing</subject><subject>Satellite data</subject><subject>soil</subject><subject>Soil conservation</subject><subject>Soil properties</subject><subject>soil quality</subject><subject>Soil sampling</subject><subject>Spatial variability</subject><subject>Spatial variations</subject><subject>Surface water</subject><subject>Vegetation index</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkbFu1TAUhi1ERS-FF2BAllhYQn1yYjseUdVCpUosMEeO49zrKrGL7YDoQl-BV-RJcEgBiQEmD_7-zz7nJ-QZsFfAmDxNwISAitVNBTWvZXX7gOyAS6xqxdVDsmMgZCVQqGPyOKVrxpiSjXpEjrFthGga3JGv5ym7WWcXPA0jTcFN9GD1lA_UeZoPliY7u-9333R0A412X8C0kj7EfPhsU7bR08uoPV2S83s6uL3LeqJ2sp827RwGO1Ht1_gc8mr0G6qzfkKORj0l-_T-PCEfLs7fn72trt69uTx7fVUZ5CpXskVtQKIY0WjgjGMZBvuW9dwAKC1hULURqhZNj63psW9wMLJmjebAzIgn5OXmvYnh41K-3c0uGTtN2tuwpA6Bo4BWKP5ftCxXgAApZUFf_IVehyX6MshKcQCpsC1UvVEmhpSiHbubWHYev3TAurXJbmuyK012P5vsbkvo-b166Wc7_I78qq4AuAGpXPm9jX_e_of2B9C3qqE</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Zang, Mingli</creator><creator>Wang, Xiaodong</creator><creator>Chen, Yunling</creator><creator>Faramarzi, Seyedeh Ensieh</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>K9.</scope><scope>KL.</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240401</creationdate><title>Estimation of soil health in the semi‑arid regions of northwestern Iran using digital elevation model and remote sensing data</title><author>Zang, Mingli ; Wang, Xiaodong ; Chen, Yunling ; Faramarzi, Seyedeh Ensieh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-783ac1736f3ca150530003b80b5c119a71d92c69264b38cb3b43dc7204a510cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Arid regions</topic><topic>Arid zones</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>data collection</topic><topic>Digital Elevation Models</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Ecotoxicology</topic><topic>Elevation</topic><topic>Environment</topic><topic>Environmental Management</topic><topic>Iran</topic><topic>Monitoring/Environmental Analysis</topic><topic>normalized difference vegetation index</topic><topic>Normalized difference vegetative index</topic><topic>Parameters</topic><topic>regression analysis</topic><topic>Remote sensing</topic><topic>Satellite data</topic><topic>soil</topic><topic>Soil conservation</topic><topic>Soil properties</topic><topic>soil quality</topic><topic>Soil sampling</topic><topic>Spatial variability</topic><topic>Spatial variations</topic><topic>Surface water</topic><topic>Vegetation index</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zang, Mingli</creatorcontrib><creatorcontrib>Wang, Xiaodong</creatorcontrib><creatorcontrib>Chen, Yunling</creatorcontrib><creatorcontrib>Faramarzi, Seyedeh Ensieh</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zang, Mingli</au><au>Wang, Xiaodong</au><au>Chen, Yunling</au><au>Faramarzi, Seyedeh Ensieh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of soil health in the semi‑arid regions of northwestern Iran using digital elevation model and remote sensing data</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>196</volume><issue>4</issue><spage>353</spage><epage>353</epage><pages>353-353</pages><artnum>353</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>Nowadays, neglecting soil conservation issues is one of the most critical factors in reducing soil health (SH). In this regard, to facilitate the estimation of the SH in northwestern Iran, 292 soil samples were taken from a depth of 0–30 cm of this area, and a wide range of soil properties were determined. Then, soil health indices (SHIs) were calculated. Simultaneously, the normalized difference vegetation index (NDVI), surface water capacity index (SWCI), and a digital elevation model (DEM) were obtained from satellite data. Finally, multiple linear regression (MLR) relationships between these parameters and SHIs were calculated. In this study, there was a highest significant positive correlation (
P
< 0.01) between IHI-LTDS and SWCI (0.71**), DEM (0.76**), and NDVI (0.73**). The MLR, with both the whole total (TDS) and minimal (MDS) dataset methods, which includes the aforementioned indices, strongly described the spatial variability of the Integrated Soil Health Index (IHI) (
R
2
= 0.78, AIC = − 416, RMSE = 0.05, and ρc = 0.76). According to the results of this study, it can be said that the development of SH estimation models using remote sensing extracted parameters can be one of the effective ways to reduce the cost and time of soil sampling in extensive areas.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>38466443</pmid><doi>10.1007/s10661-024-12527-z</doi><tpages>1</tpages></addata></record> |
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| subjects | Arid regions Arid zones Atmospheric Protection/Air Quality Control/Air Pollution data collection Digital Elevation Models Earth and Environmental Science Ecology Ecotoxicology Elevation Environment Environmental Management Iran Monitoring/Environmental Analysis normalized difference vegetation index Normalized difference vegetative index Parameters regression analysis Remote sensing Satellite data soil Soil conservation Soil properties soil quality Soil sampling Spatial variability Spatial variations Surface water Vegetation index |
| title | Estimation of soil health in the semi‑arid regions of northwestern Iran using digital elevation model and remote sensing data |
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