Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach

Tolche, Abebe Debele; Gurara, Megersa Adugna; Pham, Quoc Bao; Anh, Duong Tran

doi:10.1080/10106049.2021.1959656

Cited by 33 publications

(24 citation statements)

References 99 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…LST temperature extremes degrade soil quality, affecting vegetation's proper growth. The soil degradation vulnerability is relatively high in areas with high LST temperatures (Tolche et al, 2021).…”

Section: Lstmentioning

confidence: 99%

“…Therefore, it is considered an integrated parameter to quantify soil degradation. (Tolche et al, 2021).…”

Section: Bio17mentioning

confidence: 99%

“…The area with the least amount of organic matter (OM) had the most degradation (Nascimento et al, 2021). Tolche et al (2021) identify and map soil degradation vulnerability using precipitation, NDVI and surface temperature (LST), topography (slope), and geological features (i.e., soil depth, soil pH, soil texture, and soil drainage). Assessing the dangers of the soil and where they are in space is important for building up the baseline data needed for effective control measures.…”

Section: Introductionmentioning

confidence: 99%

“…Assessing the dangers of the soil and where they are in space is important for building up the baseline data needed for effective control measures. The analytic hierarchy process (AHP) approach to modelling soil risk zones has been extensively studied in many studies (Tolche et al, 2021;Saha et al, 2019;Arabameri et al, 2018). Recent advances in remote sensing and GIS technology allow us to assess large spatial extents of soil degradation with greater accuracy.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Risk of Land Degradation: A Case Study of Phu Yen Province, Vietnam

Nga,

Phuong,

Khanh

et al. 2023

View full text Add to dashboard Cite

The issue of the land degradation vulnerability index (LDVI) is multifaceted, encompassing climate, soil, vegetation, policy formulation, and human actions. In Vietnam, the convergence of climatic fluctuations and human impact results in phenomena, such as soil sealing, erosion, salinization, and landscape fragmentation. These phenomena are recognized as significant triggers of land degradation. This paper seeks to present a method for assessing a land's susceptibility to degradation by utilizing ten ecological 10 criteria: NDVI; slope; bulk density (cg/cm3); cation exchange capacity in the soil (CEC; mmol(c)/kg); Soil organic carbon stock (SOC; dg/kg), pH; Nitrogen (N; cg/kg); soil thickness (cm); soil surface temperature LST (0C); precipitation of the driest quarter (mm). The research results show that Song Hinh and Son Hoa communes are standing on the most land degradation vulnerability. Some criteria that are considered important in assessing land degradation by the analytic hierarchy process (AHP) technique are NDVI, followed by slope, nitrogen, bulk density, and soil thickness. The results of the study are consistent with records in localities that are often under pressure from drought. Extreme LDVI areas were larger identified on low mountains, slope terrain, and precipitation of driest quarter under 200mm, expanding on the agricultural areas with 40km2 total province agriculture area, followed by grassland (20.3 km2), natural forests (17.2 km2), plantation forests (8.2 km2), residences (8.2 km2), and bare land (8.15 km2). Poor land management practices, such as improper construction, inadequate water management, and lack of terracing, can contribute to soil erosion and land degradation. This LDVI assessment process can be applied to some tropical countries. The NDVI index combined with the slope, nitrogen, bulk density, and soil thickness can be exploratory indicators of land sensitivity to land degradation.

show abstract

Section: Lstmentioning

confidence: 99%

“…Therefore, it is considered an integrated parameter to quantify soil degradation. (Tolche et al, 2021).…”

Section: Bio17mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Risk of Land Degradation: A Case Study of Phu Yen Province, Vietnam

Nga,

Phuong,

Khanh

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The detailed validation of the results requires tremendous ground survey efforts, which is beyond the scope of this paper. Alternatively, we have attempted a visual validation scheme using very high spatial resolution Google Earth satellite imagery following the recommendation of Tolche et al [112] (Figure 9). Two randomly selected sites in each EVA zone are used for validation.…”

Section: Validationmentioning

confidence: 99%

Investigating Eco-Environmental Vulnerability for China–Pakistan Economic Corridor Key Sector Punjab Using Multi-Sources Geo-Information

Kamran

Bian

et al. 2021

IJGI

View full text Add to dashboard Cite

China-Pakistan economic corridor (CPEC), a critical part of the Belt and Road initiative (BRI), is subjected to rapid infrastructure development, which may lead to potential eco-environmental vulnerability. This study uses multi-source geo-information, and the multi-criteria decision-making (MCDM)-based best–worst method (BWM) to quantify the baseline eco-environmental vulnerability of one key CPEC sector—the Punjab province. The Punjab province is an important connection between northern and southern CPEC routes in Pakistan. In this study, we have established an indicator system consisting of twenty-two influential factors in a geospatial database to conduct eco-environmental vulnerability analysis. The overall setup is supported by a geographic information system (GIS) to perform spatial analysis. The resulting map was categorized into five vulnerability levels: very low, low, medium, high, and very high. The results revealed that the overall eco-environmental health of the Punjab province is reasonably good as 4.64% and 59.45% area of the key sector lies in ‘very low’ and ‘low’ vulnerability categories; however, there also exist highly vulnerable areas, particularly in the proximity of CPEC projects. Although high vulnerability areas constitute a very small percentage, only 0.08% of the Punjab province, still, decision-makers need to be aware of those regions and make corresponding protection strategies. Our study demonstrated that the MCDM-BWM-based EVA model could be effectively used to quantify vulnerability in other areas of CPEC. The findings of the study emphasize that management policies should be aligned with research-based recommendations for ecological protection, natural resource utilization, and sustainable development in regions participating in Belt and Road Initiative (BRI).

show abstract

A synthesis on land degradation in the context of sustainable development goals

Nedd,

Anandhi

2024

Land Degrad Dev

View full text Add to dashboard Cite

Land degradation (LD) is a severe and well‐known global concern. Therefore, this review aimed to find broader connections between LD and the Sustainable Development Goals (SDGs). This literature review aims to synthesize the definitions, processes, assessments, and challenges associated with LD. Furthermore, we developed a universally applicable and concise definition of LD that links a wide range of contexts and studies. Specifically, we categorized LD‐related processes into physical, chemical, and biological processes and synthesized 20 methods/formulas used in the assessment of LD. Finally, we synthesized the most significant challenges in the context of the resolution of LD and provided corresponding recommendations. The review also identified the main SDG targets that LD directly affects and the role of LD in relation to the SDGs. Overall, we expect this literature review to be a valuable resource for researchers and practitioners aiming to obtain a comprehensive understanding of LD. The findings of this study shed light on various aspects of LD concerning the SDGs. The LD and the SDGs' processes, challenges, and interactions can be a valuable resource for researchers and policymakers. The information can facilitate sustainable and scientifically rooted use of land resources and provide knowledge and advice on combating LD to reach the specific SDGs associated with LD.

show abstract

Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach

Cited by 33 publications

References 99 publications

Risk of Land Degradation: A Case Study of Phu Yen Province, Vietnam

Risk of Land Degradation: A Case Study of Phu Yen Province, Vietnam

Investigating Eco-Environmental Vulnerability for China–Pakistan Economic Corridor Key Sector Punjab Using Multi-Sources Geo-Information

A synthesis on land degradation in the context of sustainable development goals

Contact Info

Product

Resources

About