Multi-temporal Landsat imagery and MSAVI index for monitoring rangeland degradation in arid ecosystem, case study of Biskra (southeast Algeria)

Belhadj, Amina; Boulghobra, Nouar; Allache, Fatma Demnati

doi:10.1007/s10661-023-11191-z

Cited by 6 publications

(2 citation statements)

References 53 publications

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“…Several authors have examined the dynamics of arid rangelands in southern Tunisia [40][41][42]. The obtained results, in agreement with previously published data, suggest that vegetation cover appears to be influenced by the combined effects of grazing and drought [43]. Correspondingly, the vegetation cover was higher within the sites during spring 2021 and spring 2023 compared to spring 2022, which can be explained by the absence of annuals in the second season (the driest year).…”

Section: Soil Surface-vegetation Coversupporting

confidence: 83%

Effects of Wind Erosion Control Measures on Vegetation Dynamics and Soil-Surface Materials through Field Observations and Vegetation Indices in Arid Areas, Southeastern Tunisia

Khatteli,

Tlili,

Chaieb

et al. 2023

Sustainability

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Effective land management in the Djeffara plain, southeastern Tunisia, is being constrained by increasing land degradation issues due to arid climate conditions and soil erosion. Thus, this study aims to assess the impact of the integrated control measures, namely windbreaks and controlled grazing, on the restoration of land cover dynamics in six managed rangeland areas. Land cover changes were monitored using satellite data and the derived vegetation indices (the normalized difference vegetation index (NDVI) and the soil-adjusted vegetation index (SAVI)) from Landsat 8 (OLI), both within and outside the protected areas. The findings reveal that the implemented protection measures lead to an increase in vegetation cover, diversity, and plant density. They play an important role in stabilizing the upper soil layer. The oldest protected areas, particularly those that are well-maintained with controlled seasonal grazing, experienced a reduction in sand movement. The reintroduction of grazing should, however, be controlled to prevent degradation risks. The results show strong correlations between vegetation cover and both calculated vegetation indices, (0.73 < R2 < 0.91), with more accurate estimating for the SAVI. The findings of this research can guide decision-makers for restoring degraded rangelands and planning effective control measures for wind erosion.

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Section: Soil Surface-vegetation Coversupporting

confidence: 83%

Effects of Wind Erosion Control Measures on Vegetation Dynamics and Soil-Surface Materials through Field Observations and Vegetation Indices in Arid Areas, Southeastern Tunisia

Khatteli,

Tlili,

Chaieb

et al. 2023

Sustainability

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“…The EDVI can correctly identify surface vegetation's water content [15]. The MSAVI can use the reflectance of visible and near-infrared bands to eliminate the influence of light soil backgrounds, thereby extracting accurate soil vegetation information [20]. Comparatively, the KNDVI aligns more with the current situation, has a more dynamic range, and separates the vegetation material cycle from background noise [21].…”

Section: Selection Of Typical Surface Parametersmentioning

confidence: 99%

A Novel Approach to Detecting the Salinization of the Yellow River Delta Using a Kernel Normalized Difference Vegetation Index and a Feature Space Model

Xu,

Guo,

Zhang

2024

Sustainability

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Using the kernel normalized difference vegetation index (KNDVI) to monitor soil salinization has great advantages; however, approaches using KNDVI and a feature space model to monitor salinization have not yet been reported. In this study, the KNDVI, normalized difference vegetation index (NDVI), extended difference vegetation index (EDVI), green normalized difference vegetation index (TGDVI), modified soil-adjusted vegetation index (MSAVI), and salt index (SI) were used to establish five feature space monitoring indices for salinization. The spatio-temporal evolution pattern of soil salinization in the Yellow River Delta from 2000 to 2020 was analyzed based on the optimal monitoring index. The remote sensing monitoring index model based on KNDVI-SI’s point-to-point mode had the best applicability with R2 = 0.93, followed by EDVI-SI’s salinization monitoring index model with R2 = 0.90. From 2000 to 2020, soil salinization in the Yellow River Delta followed an exacerbating then improving trend. Soil salinization was more severe in the northern and eastern coastal areas of the Yellow River Delta. These results are conducive to salinization restoration and control in the Yellow River Delta.

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Remotely Sensed Data and GIS for Long-Term Monitoring of the Ghout Oases Degradation in the Region of Oued Souf (Northeastern Algerian Sahara)

Boulghobra

2024

Earth and Environmental Sciences Library

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Multi-temporal Landsat imagery and MSAVI index for monitoring rangeland degradation in arid ecosystem, case study of Biskra (southeast Algeria)

Cited by 6 publications

References 53 publications

Effects of Wind Erosion Control Measures on Vegetation Dynamics and Soil-Surface Materials through Field Observations and Vegetation Indices in Arid Areas, Southeastern Tunisia

Effects of Wind Erosion Control Measures on Vegetation Dynamics and Soil-Surface Materials through Field Observations and Vegetation Indices in Arid Areas, Southeastern Tunisia

A Novel Approach to Detecting the Salinization of the Yellow River Delta Using a Kernel Normalized Difference Vegetation Index and a Feature Space Model

Remotely Sensed Data and GIS for Long-Term Monitoring of the Ghout Oases Degradation in the Region of Oued Souf (Northeastern Algerian Sahara)

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