Spatial relationships between NDVI and topographic factors at multiple scales in a watershed of the Minjiang River, China

Xiong, Yujiu; Wang, Huiling

doi:10.1016/j.ecoinf.2022.101617

Cited by 33 publications

(22 citation statements)

References 53 publications

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“…Such information provides timely decision making and management by forest practitioners. With accuracies for both Landsat-8 and Sentinel-2 based models exceeding accuracies established in other similar environments (Ahmed et al, 2022;Fan et al, 2022;Jiang et al, 2021;Takagi et al, 2015;Xiong and Wang, 2022), the application of results of the present study can therefore be utilized for comprehensive and location-based ecological interventions. The Sentinel-2 based C stock predictive model yielded the shortest CIWs, implying more precise C stock predictions than the Landsat-8 based C stock estimates.…”

Section: Parameter Uncertainty and Model Performance Of New Generatio...mentioning

confidence: 76%

Hierarchical Bayesian geostatistics for C stock prediction in disturbed plantation forest in Zimbabwe

Chinembiri

Mutanga

Dube

2023

Ecological Informatics

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Section: Parameter Uncertainty and Model Performance Of New Generatio...mentioning

confidence: 76%

Hierarchical Bayesian geostatistics for C stock prediction in disturbed plantation forest in Zimbabwe

Chinembiri

Mutanga

Dube

2023

Ecological Informatics

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“…The vegetation types include green deciduous broad-leaved mixed forest, coniferous broad-leaved mixed forest, coniferous forest, shrub and grassland. Thus, this region is biodiversity-rich [ 30 , 31 ]. As a result of the special geographical environment and customs, there are a large number of unique Tibetan and Qiang settlements in this area, which is an important reserve of Tibetan and Qiang culture in China.…”

Section: Methodsmentioning

confidence: 99%

Evaluation and Optimization Model of Rural Settlement Habitability in the Upper Reaches of the Minjiang River, China

Mei

Yang

Xiang

et al. 2022

IJERPH

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Rural settlements are the spatial carriers of rural multifunctionality, and various issues related to livability are the main manifestations and causes of unbalanced and insufficient rural development. In the new era, it is imperative to promote the livability of rural settlements with the implementation of rural revitalization. However, compared with urban settlements, there are still fewer studies on the livability of rural settlements, especially those in disaster-prone areas; thus, this paper takes the upper reaches of the Minjiang River as the study area. It adopts GIS spatial analysis and the model of minimum cumulative resistance, etc., to conduct a livability evaluation and construct an optimization model by innovatively taking five aspects into account including site security and resource endowment. The results show that: (1) The overall livability of the region is relatively good, and the main factors affecting the livability are site security and economic affluence; (2) The location of rural settlements was highly livability-oriented, and the area of rural settlements in the moderate- and high-livability zones accounted for more than 90%; and (3) The key to improving the livability of rural settlements lies in the construction of development synergy, disaster management, cultural preservation and industrial upgrading, and thus, four types of settlement livability enhancement are proposed. The research results provide theoretical support for the construction of livable villages in the upper reaches of the Minjiang River and similar mountainous areas.

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“…It is one of the components in the computation of the Normalized Difference Drought Index (NDDI) to determine the drought severity in the Bojonegoro Regency. The NDVI calculation is important because the value and distribution of NDVI can describe vegetation cover and density, where they play an important role in maintaining the balance of ecosystems [8]. The calculation and mapping of NDVI in this study used Landsat 8 OLI/TIRS ToA images of the red band (band 4) and near-infrared band (band 5) with a spatial resolution of 30 meters.…”

Section: Normalized Difference Vegetation Index (Ndvi)mentioning

confidence: 99%

Normalized Difference Drought Index (NDDI) computation for mapping drought severity in Bojonegoro Regency, East Java, Indonesia

Artikanur

Widiatmaka

Setiawan

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Drought is a natural disaster that causes difficulties meeting household, agriculture, and industrial water needs. Drought often occurs in various regions in Indonesia, one of which is the Bojonegoro Regency. Bojonegoro Regency has the highest number of villages experiencing drought in East Java Province in 2019. This study aims to map the drought severity in the Bojonegoro Regency based on the results of the Normalized Difference Drought Index (NDDI) computation. The method used to obtain NDDI was by subtracting the Normalized Difference Vegetation Index (NDVI) by the Normalized Difference Water Index (NDWI) and then dividing by the NDVI plus the NDWI. The results showed five drought severity classes in Bojonegoro Regency: very low, low, medium, high, and very high. Areas classified as high and very high severity have an area of 1,534.32 (0.66%) and 99.38 ha (0.04%), respectively. These results indicate that many areas have the potential to experience drought in Bojonegoro Regency. The results of this analysis can be an input to the government to carry out mitigation efforts such as building reservoirs and infiltration wells, preserving the karst area, and increasing the vegetation cover against drought disasters in the future.

show abstract

Spatial relationships between NDVI and topographic factors at multiple scales in a watershed of the Minjiang River, China

Cited by 33 publications

References 53 publications

Hierarchical Bayesian geostatistics for C stock prediction in disturbed plantation forest in Zimbabwe

Hierarchical Bayesian geostatistics for C stock prediction in disturbed plantation forest in Zimbabwe

Evaluation and Optimization Model of Rural Settlement Habitability in the Upper Reaches of the Minjiang River, China

Normalized Difference Drought Index (NDDI) computation for mapping drought severity in Bojonegoro Regency, East Java, Indonesia

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