Loading…
An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval
The soil dielectric constant model is essential for retrieving soil properties based on microwave remote sensing. However, the existing saline soil dielectric constant models perform poorly in simulating the dielectric constant of soil with high water content and salinity. In this study, the Wang Yu...
Saved in:
Published in: | Remote sensing (Basel, Switzerland) Switzerland), 2024-01, Vol.16 (3), p.452 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c400t-ad2f7d8be6279d7950dd2178c4e1485ab4ee2a99f7004c0e296d2aaf1649a4723 |
---|---|
cites | cdi_FETCH-LOGICAL-c400t-ad2f7d8be6279d7950dd2178c4e1485ab4ee2a99f7004c0e296d2aaf1649a4723 |
container_end_page | |
container_issue | 3 |
container_start_page | 452 |
container_title | Remote sensing (Basel, Switzerland) |
container_volume | 16 |
creator | Gao, Liang Song, Xiaoning Li, Xiaotao Ma, Jianwei Leng, Pei Wang, Weizhen Zhu, Xinming |
description | The soil dielectric constant model is essential for retrieving soil properties based on microwave remote sensing. However, the existing saline soil dielectric constant models perform poorly in simulating the dielectric constant of soil with high water content and salinity. In this study, the Wang Yueru (WYR) saline soil dielectric constant model, which was demonstrated to perform well in describing the effect of salinity and moisture on the dielectric constant, was validated based on experimental measurements of soil samples under different water content and salinity degrees. Furthermore, we adjusted the model form, refitted the empirical coefficient in the model, and finally acquired a two-stage model for simulating the soil dielectric constant. The enhanced model was validated under different soil moisture and salinity ranges using experimental measurements of soil samples. Compared to the original model, the proposed model exhibits a larger improvement in simulating the soil dielectric constant, and the RMSE of the simulated results dramatically decreased from 7.3 to 1.6, especially for soil with high salinity and water content. On this basis, a model suitable for L-band microwave was established. This model is of great significance for studying soil dielectric characteristics and retrieving soil parameters based on L-band data. Furthermore, this model can be used to retrieve soil salinity and water content using microwave remote sensing under a broadened application situation, such as in saline-alkali soils, wetlands, and salt marshes. |
doi_str_mv | 10.3390/rs16030452 |
format | article |
fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_469ab8c67d8d476292171bae6346091a</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A782092476</galeid><doaj_id>oai_doaj_org_article_469ab8c67d8d476292171bae6346091a</doaj_id><sourcerecordid>A782092476</sourcerecordid><originalsourceid>FETCH-LOGICAL-c400t-ad2f7d8be6279d7950dd2178c4e1485ab4ee2a99f7004c0e296d2aaf1649a4723</originalsourceid><addsrcrecordid>eNpNkUtLZDEQhS_iwIi6mV8QcCe0k1cnN8umfYIyMI7rUJ3UbdPcTjRJC_5741xRk0WK4pyvDqmu-8XomRCG_s6FKSqonPO97oBTzWeSG77_rf7ZHZeyoe0IwQyVB11cRHIRHyE69OQexhCR3KcwkvOAI7qagyPLFEuFWMld8jiSh9KkQ8rkL25TbXKMJcT1ZLtLodRdRgLxgxfqa1M2EL7AeNT9GGAsePzxHnYPlxf_ltez2z9XN8vF7cxJSusMPB-071eouDZemzn1njPdO4lM9nNYSUQOxgyaUukocqM8BxiYkgak5uKwu5m4PsHGPuWwhfxqEwT7v5Hy2kKuwY1opTKw6p1q87zUqv0S02wFqIRU1DBorJOJ9ZTT8w5LtZu0y7HFt03c8vK5eJ94NqnW0KAhDqlmcO163AaXIg6h9Re657SZtGqG08ngciol4_AZk1H7vk_7tU_xBg0BkI0</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2924002532</pqid></control><display><type>article</type><title>An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Gao, Liang ; Song, Xiaoning ; Li, Xiaotao ; Ma, Jianwei ; Leng, Pei ; Wang, Weizhen ; Zhu, Xinming</creator><creatorcontrib>Gao, Liang ; Song, Xiaoning ; Li, Xiaotao ; Ma, Jianwei ; Leng, Pei ; Wang, Weizhen ; Zhu, Xinming</creatorcontrib><description>The soil dielectric constant model is essential for retrieving soil properties based on microwave remote sensing. However, the existing saline soil dielectric constant models perform poorly in simulating the dielectric constant of soil with high water content and salinity. In this study, the Wang Yueru (WYR) saline soil dielectric constant model, which was demonstrated to perform well in describing the effect of salinity and moisture on the dielectric constant, was validated based on experimental measurements of soil samples under different water content and salinity degrees. Furthermore, we adjusted the model form, refitted the empirical coefficient in the model, and finally acquired a two-stage model for simulating the soil dielectric constant. The enhanced model was validated under different soil moisture and salinity ranges using experimental measurements of soil samples. Compared to the original model, the proposed model exhibits a larger improvement in simulating the soil dielectric constant, and the RMSE of the simulated results dramatically decreased from 7.3 to 1.6, especially for soil with high salinity and water content. On this basis, a model suitable for L-band microwave was established. This model is of great significance for studying soil dielectric characteristics and retrieving soil parameters based on L-band data. Furthermore, this model can be used to retrieve soil salinity and water content using microwave remote sensing under a broadened application situation, such as in saline-alkali soils, wetlands, and salt marshes.</description><identifier>ISSN: 2072-4292</identifier><identifier>EISSN: 2072-4292</identifier><identifier>DOI: 10.3390/rs16030452</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural production ; Datasets ; Dielectric constant ; Dielectric properties ; Electric properties ; high salinity and water content ; Model forms ; Moisture content ; Permittivity ; Remote sensing ; saline soil ; Saline soils ; Salinity ; Salinity effects ; Simulation ; Soil moisture ; Soil properties ; Soil salinity ; Soil water ; Soils, Salts in ; Water content ; Wetlands</subject><ispartof>Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (3), p.452</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-ad2f7d8be6279d7950dd2178c4e1485ab4ee2a99f7004c0e296d2aaf1649a4723</citedby><cites>FETCH-LOGICAL-c400t-ad2f7d8be6279d7950dd2178c4e1485ab4ee2a99f7004c0e296d2aaf1649a4723</cites><orcidid>0000-0001-5524-2718</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2924002532/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2924002532?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Gao, Liang</creatorcontrib><creatorcontrib>Song, Xiaoning</creatorcontrib><creatorcontrib>Li, Xiaotao</creatorcontrib><creatorcontrib>Ma, Jianwei</creatorcontrib><creatorcontrib>Leng, Pei</creatorcontrib><creatorcontrib>Wang, Weizhen</creatorcontrib><creatorcontrib>Zhu, Xinming</creatorcontrib><title>An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval</title><title>Remote sensing (Basel, Switzerland)</title><description>The soil dielectric constant model is essential for retrieving soil properties based on microwave remote sensing. However, the existing saline soil dielectric constant models perform poorly in simulating the dielectric constant of soil with high water content and salinity. In this study, the Wang Yueru (WYR) saline soil dielectric constant model, which was demonstrated to perform well in describing the effect of salinity and moisture on the dielectric constant, was validated based on experimental measurements of soil samples under different water content and salinity degrees. Furthermore, we adjusted the model form, refitted the empirical coefficient in the model, and finally acquired a two-stage model for simulating the soil dielectric constant. The enhanced model was validated under different soil moisture and salinity ranges using experimental measurements of soil samples. Compared to the original model, the proposed model exhibits a larger improvement in simulating the soil dielectric constant, and the RMSE of the simulated results dramatically decreased from 7.3 to 1.6, especially for soil with high salinity and water content. On this basis, a model suitable for L-band microwave was established. This model is of great significance for studying soil dielectric characteristics and retrieving soil parameters based on L-band data. Furthermore, this model can be used to retrieve soil salinity and water content using microwave remote sensing under a broadened application situation, such as in saline-alkali soils, wetlands, and salt marshes.</description><subject>Agricultural production</subject><subject>Datasets</subject><subject>Dielectric constant</subject><subject>Dielectric properties</subject><subject>Electric properties</subject><subject>high salinity and water content</subject><subject>Model forms</subject><subject>Moisture content</subject><subject>Permittivity</subject><subject>Remote sensing</subject><subject>saline soil</subject><subject>Saline soils</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Simulation</subject><subject>Soil moisture</subject><subject>Soil properties</subject><subject>Soil salinity</subject><subject>Soil water</subject><subject>Soils, Salts in</subject><subject>Water content</subject><subject>Wetlands</subject><issn>2072-4292</issn><issn>2072-4292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkUtLZDEQhS_iwIi6mV8QcCe0k1cnN8umfYIyMI7rUJ3UbdPcTjRJC_5741xRk0WK4pyvDqmu-8XomRCG_s6FKSqonPO97oBTzWeSG77_rf7ZHZeyoe0IwQyVB11cRHIRHyE69OQexhCR3KcwkvOAI7qagyPLFEuFWMld8jiSh9KkQ8rkL25TbXKMJcT1ZLtLodRdRgLxgxfqa1M2EL7AeNT9GGAsePzxHnYPlxf_ltez2z9XN8vF7cxJSusMPB-071eouDZemzn1njPdO4lM9nNYSUQOxgyaUukocqM8BxiYkgak5uKwu5m4PsHGPuWwhfxqEwT7v5Hy2kKuwY1opTKw6p1q87zUqv0S02wFqIRU1DBorJOJ9ZTT8w5LtZu0y7HFt03c8vK5eJ94NqnW0KAhDqlmcO163AaXIg6h9Re657SZtGqG08ngciol4_AZk1H7vk_7tU_xBg0BkI0</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Gao, Liang</creator><creator>Song, Xiaoning</creator><creator>Li, Xiaotao</creator><creator>Ma, Jianwei</creator><creator>Leng, Pei</creator><creator>Wang, Weizhen</creator><creator>Zhu, Xinming</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7QR</scope><scope>7SC</scope><scope>7SE</scope><scope>7SN</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5524-2718</orcidid></search><sort><creationdate>20240101</creationdate><title>An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval</title><author>Gao, Liang ; Song, Xiaoning ; Li, Xiaotao ; Ma, Jianwei ; Leng, Pei ; Wang, Weizhen ; Zhu, Xinming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c400t-ad2f7d8be6279d7950dd2178c4e1485ab4ee2a99f7004c0e296d2aaf1649a4723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agricultural production</topic><topic>Datasets</topic><topic>Dielectric constant</topic><topic>Dielectric properties</topic><topic>Electric properties</topic><topic>high salinity and water content</topic><topic>Model forms</topic><topic>Moisture content</topic><topic>Permittivity</topic><topic>Remote sensing</topic><topic>saline soil</topic><topic>Saline soils</topic><topic>Salinity</topic><topic>Salinity effects</topic><topic>Simulation</topic><topic>Soil moisture</topic><topic>Soil properties</topic><topic>Soil salinity</topic><topic>Soil water</topic><topic>Soils, Salts in</topic><topic>Water content</topic><topic>Wetlands</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Liang</creatorcontrib><creatorcontrib>Song, Xiaoning</creatorcontrib><creatorcontrib>Li, Xiaotao</creatorcontrib><creatorcontrib>Ma, Jianwei</creatorcontrib><creatorcontrib>Leng, Pei</creatorcontrib><creatorcontrib>Wang, Weizhen</creatorcontrib><creatorcontrib>Zhu, Xinming</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Ecology Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ProQuest Engineering Database</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Directory of Open Access Journals</collection><jtitle>Remote sensing (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Liang</au><au>Song, Xiaoning</au><au>Li, Xiaotao</au><au>Ma, Jianwei</au><au>Leng, Pei</au><au>Wang, Weizhen</au><au>Zhu, Xinming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval</atitle><jtitle>Remote sensing (Basel, Switzerland)</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>16</volume><issue>3</issue><spage>452</spage><pages>452-</pages><issn>2072-4292</issn><eissn>2072-4292</eissn><abstract>The soil dielectric constant model is essential for retrieving soil properties based on microwave remote sensing. However, the existing saline soil dielectric constant models perform poorly in simulating the dielectric constant of soil with high water content and salinity. In this study, the Wang Yueru (WYR) saline soil dielectric constant model, which was demonstrated to perform well in describing the effect of salinity and moisture on the dielectric constant, was validated based on experimental measurements of soil samples under different water content and salinity degrees. Furthermore, we adjusted the model form, refitted the empirical coefficient in the model, and finally acquired a two-stage model for simulating the soil dielectric constant. The enhanced model was validated under different soil moisture and salinity ranges using experimental measurements of soil samples. Compared to the original model, the proposed model exhibits a larger improvement in simulating the soil dielectric constant, and the RMSE of the simulated results dramatically decreased from 7.3 to 1.6, especially for soil with high salinity and water content. On this basis, a model suitable for L-band microwave was established. This model is of great significance for studying soil dielectric characteristics and retrieving soil parameters based on L-band data. Furthermore, this model can be used to retrieve soil salinity and water content using microwave remote sensing under a broadened application situation, such as in saline-alkali soils, wetlands, and salt marshes.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/rs16030452</doi><orcidid>https://orcid.org/0000-0001-5524-2718</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2072-4292 |
ispartof | Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (3), p.452 |
issn | 2072-4292 2072-4292 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_469ab8c67d8d476292171bae6346091a |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3) |
subjects | Agricultural production Datasets Dielectric constant Dielectric properties Electric properties high salinity and water content Model forms Moisture content Permittivity Remote sensing saline soil Saline soils Salinity Salinity effects Simulation Soil moisture Soil properties Soil salinity Soil water Soils, Salts in Water content Wetlands |
title | An Enhanced Saline Soil Dielectric Constant Model Used for Remote Sensing Soil Moisture and Salinity Retrieval |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T01%3A56%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20Enhanced%20Saline%20Soil%20Dielectric%20Constant%20Model%20Used%20for%20Remote%20Sensing%20Soil%20Moisture%20and%20Salinity%20Retrieval&rft.jtitle=Remote%20sensing%20(Basel,%20Switzerland)&rft.au=Gao,%20Liang&rft.date=2024-01-01&rft.volume=16&rft.issue=3&rft.spage=452&rft.pages=452-&rft.issn=2072-4292&rft.eissn=2072-4292&rft_id=info:doi/10.3390/rs16030452&rft_dat=%3Cgale_doaj_%3EA782092476%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c400t-ad2f7d8be6279d7950dd2178c4e1485ab4ee2a99f7004c0e296d2aaf1649a4723%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2924002532&rft_id=info:pmid/&rft_galeid=A782092476&rfr_iscdi=true |