Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges
This review article presents a comprehensive overview of the current status of the Landsat program and its applications in soil erosion modelling and assessment within arid environments. Literature for the period between 1972 and 2022 was retrieved using directed search strategies and keywords. A to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-06-01
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| Series: | International Soil and Water Conservation Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095633923000941 |
| _version_ | 1797226714268434432 |
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| author | Tatenda Musasa Timothy Dube Thomas Marambanyika |
| author_facet | Tatenda Musasa Timothy Dube Thomas Marambanyika |
| author_sort | Tatenda Musasa |
| collection | DOAJ |
| description | This review article presents a comprehensive overview of the current status of the Landsat program and its applications in soil erosion modelling and assessment within arid environments. Literature for the period between 1972 and 2022 was retrieved using directed search strategies and keywords. A total of 170 journal articles were gathered and analyzed. The literature analysis reveals that 27 (16%) of the publications fall within the period from 2007 to 2011, marking the highest occurrence within a five-year interval. The scrutinized literature was classified into ten distinct periods, or “pentades,” to accommodate the evolving applications of the Landsat program in response to advancements in remotely sensed data quality. This review article underscores the substantial contribution of Landsat data to the monitoring and assessment of soil erosion attributed to the action of water. Numerous studies have been conducted to model soil erosion using the Revised Universal Soil Loss Equation (RUSLE) model, facilitated by Geographic Information Systems (GIS) and remote sensing technologies. Nonetheless, the integration of Landsat data does present some challenges. Notably, the limitations of coarse resolution and data loss, particularly the scan line issues affecting Landsat 7, have hindered the full potential of the affected satellite datasets. As a solution, a multi-source approach that amalgamates diverse datasets is advocated to bridge data gaps and address disparities in spatial and temporal resolutions. To conclude, the Landsat mission has indisputably emerged as an indispensable instrument for facilitating the assessment and monitoring of soil erosion in resource-constrained communities. To advance this field, there is need to bolster storage infrastructure to manage large datasets, ensuring continuity for these sensor outputs, presenting a promising path for future research. |
| first_indexed | 2024-04-24T14:29:18Z |
| format | Article |
| id | doaj.art-bde629dbd1fe41dab3dbc41e4bb202d7 |
| institution | Directory Open Access Journal |
| issn | 2095-6339 |
| language | English |
| last_indexed | 2024-04-24T14:29:18Z |
| publishDate | 2024-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | International Soil and Water Conservation Research |
| spelling | doaj.art-bde629dbd1fe41dab3dbc41e4bb202d72024-04-03T04:26:29ZengKeAi Communications Co., Ltd.International Soil and Water Conservation Research2095-63392024-06-01122267278Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challengesTatenda Musasa0Timothy Dube1Thomas Marambanyika2Department of Geography Environmental Sustainability and Resilience Building, Midlands State University, Gweru, Zimbabwe; Department of Earth Sciences, Faculty of Natural Sciences, University of the Western Cape, Cape Town, South Africa; Corresponding author. Department of Geography Environmental Sustainability and Resilience Building, Midlands State University, Gweru, Zimbabwe.Department of Earth Sciences, Faculty of Natural Sciences, University of the Western Cape, Cape Town, South AfricaDepartment of Geography Environmental Sustainability and Resilience Building, Midlands State University, Gweru, ZimbabweThis review article presents a comprehensive overview of the current status of the Landsat program and its applications in soil erosion modelling and assessment within arid environments. Literature for the period between 1972 and 2022 was retrieved using directed search strategies and keywords. A total of 170 journal articles were gathered and analyzed. The literature analysis reveals that 27 (16%) of the publications fall within the period from 2007 to 2011, marking the highest occurrence within a five-year interval. The scrutinized literature was classified into ten distinct periods, or “pentades,” to accommodate the evolving applications of the Landsat program in response to advancements in remotely sensed data quality. This review article underscores the substantial contribution of Landsat data to the monitoring and assessment of soil erosion attributed to the action of water. Numerous studies have been conducted to model soil erosion using the Revised Universal Soil Loss Equation (RUSLE) model, facilitated by Geographic Information Systems (GIS) and remote sensing technologies. Nonetheless, the integration of Landsat data does present some challenges. Notably, the limitations of coarse resolution and data loss, particularly the scan line issues affecting Landsat 7, have hindered the full potential of the affected satellite datasets. As a solution, a multi-source approach that amalgamates diverse datasets is advocated to bridge data gaps and address disparities in spatial and temporal resolutions. To conclude, the Landsat mission has indisputably emerged as an indispensable instrument for facilitating the assessment and monitoring of soil erosion in resource-constrained communities. To advance this field, there is need to bolster storage infrastructure to manage large datasets, ensuring continuity for these sensor outputs, presenting a promising path for future research.http://www.sciencedirect.com/science/article/pii/S2095633923000941Arid environmentsLandsat seriesRemote sensingSoil erosionSpatial data fusion |
| spellingShingle | Tatenda Musasa Timothy Dube Thomas Marambanyika Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges International Soil and Water Conservation Research Arid environments Landsat series Remote sensing Soil erosion Spatial data fusion |
| title | Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges |
| title_full | Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges |
| title_fullStr | Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges |
| title_full_unstemmed | Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges |
| title_short | Landsat satellite programme potential for soil erosion assessment and monitoring in arid environments: A review of applications and challenges |
| title_sort | landsat satellite programme potential for soil erosion assessment and monitoring in arid environments a review of applications and challenges |
| topic | Arid environments Landsat series Remote sensing Soil erosion Spatial data fusion |
| url | http://www.sciencedirect.com/science/article/pii/S2095633923000941 |
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