Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil
Bare soil (BS) identification through satellite remote sensing can potentially play a critical role in understanding and managing soil properties essential for climate regulation and ecosystem services. From 191 papers, this review synthesises advancements in BS detection methodologies, such as thre...
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MDPI AG
2025-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/4/630 |
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| author | Beth Delaney Kevin Tansey Mick Whelan |
| author_facet | Beth Delaney Kevin Tansey Mick Whelan |
| author_sort | Beth Delaney |
| collection | DOAJ |
| description | Bare soil (BS) identification through satellite remote sensing can potentially play a critical role in understanding and managing soil properties essential for climate regulation and ecosystem services. From 191 papers, this review synthesises advancements in BS detection methodologies, such as threshold masking and classification algorithms, while highlighting persistent challenges such as spectral confusion and inconsistent validation practices. The analysis reveals an increasing reliance on satellite data for applications such as digital soil mapping, land use monitoring, and environmental impact mapping. While multispectral sensors like Landsat and Sentinel dominate current methodologies, limitations remain in distinguishing BS from spectrally similar surfaces, such as crop residues and urban areas. This review emphasises the critical need for robust validation practices to ensure reliable estimates. By integrating technological advancements with improved methodologies, the potential for accurate, large-scale BS detection can significantly contribute to combating land degradation and supporting global food security and climate resilience efforts. |
| format | Article |
| id | doaj-art-34aa53685a0d4121a46143cc132e768b |
| institution | DOAJ |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-34aa53685a0d4121a46143cc132e768b2025-08-20T02:44:35ZengMDPI AGRemote Sensing2072-42922025-02-0117463010.3390/rs17040630Satellite Remote Sensing Techniques and Limitations for Identifying Bare SoilBeth Delaney0Kevin Tansey1Mick Whelan2Space Park Leicester, 92 Corporation Road, Leicester LE4 5SP, UKSpace Park Leicester, 92 Corporation Road, Leicester LE4 5SP, UKSchool of Geography, Geology and the Environment, University of Leicester, University Road, Leicester LE1 7RH, UKBare soil (BS) identification through satellite remote sensing can potentially play a critical role in understanding and managing soil properties essential for climate regulation and ecosystem services. From 191 papers, this review synthesises advancements in BS detection methodologies, such as threshold masking and classification algorithms, while highlighting persistent challenges such as spectral confusion and inconsistent validation practices. The analysis reveals an increasing reliance on satellite data for applications such as digital soil mapping, land use monitoring, and environmental impact mapping. While multispectral sensors like Landsat and Sentinel dominate current methodologies, limitations remain in distinguishing BS from spectrally similar surfaces, such as crop residues and urban areas. This review emphasises the critical need for robust validation practices to ensure reliable estimates. By integrating technological advancements with improved methodologies, the potential for accurate, large-scale BS detection can significantly contribute to combating land degradation and supporting global food security and climate resilience efforts.https://www.mdpi.com/2072-4292/17/4/630bare soil detectionsatellite imagerydigital soil mappingland useland classificationvalidation techniques |
| spellingShingle | Beth Delaney Kevin Tansey Mick Whelan Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil Remote Sensing bare soil detection satellite imagery digital soil mapping land use land classification validation techniques |
| title | Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil |
| title_full | Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil |
| title_fullStr | Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil |
| title_full_unstemmed | Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil |
| title_short | Satellite Remote Sensing Techniques and Limitations for Identifying Bare Soil |
| title_sort | satellite remote sensing techniques and limitations for identifying bare soil |
| topic | bare soil detection satellite imagery digital soil mapping land use land classification validation techniques |
| url | https://www.mdpi.com/2072-4292/17/4/630 |
| work_keys_str_mv | AT bethdelaney satelliteremotesensingtechniquesandlimitationsforidentifyingbaresoil AT kevintansey satelliteremotesensingtechniquesandlimitationsforidentifyingbaresoil AT mickwhelan satelliteremotesensingtechniquesandlimitationsforidentifyingbaresoil |