Assessing topographic controls on vegetation characteristics in Chittagong Hill Tracts (CHT) from remotely sensed data

Emran, A.; Roy, Subhash Kanti; Bagmar, Md. Shaddam Hossain; Mitra, Chandana

doi:10.1016/j.rsase.2018.07.005

Cited by 18 publications

(8 citation statements)

References 75 publications

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“…distribution and topographic factors in Chittagong Hill Tracts in Bangladesh, Emran et al (2018) found that vegetation distribution was positively correlated with altitude and slope, but not significantly correlated with slope aspect. After studying the relationship between vegetation coverage and terrain factors in Wolong Nature Reserve, Wei et al (2019) found that aspect has a greater impact on vegetation coverage than slope, and the vegetation coverage of sunny slope decreased, while that of shady slope increased.…”

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confidence: 92%

“…By studying the correlation between vegetation distribution and topographic factors in Chittagong Hill Tracts in Bangladesh, Emran et al. (2018) found that vegetation distribution was positively correlated with altitude and slope, but not significantly correlated with slope aspect. After studying the relationship between vegetation coverage and terrain factors in Wolong Nature Reserve, Wei et al.…”

Section: Introductionmentioning

confidence: 99%

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Assessing Ecological Quality Based on Remote Sensing Images in Wugong Mountain

Gao

2022

Earth and Space Science

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With the sustained development of China's economy, tourism has become an important part of promoting economic development. Consequently, it is urgent to explore how to solve the conflict of increased resource consumption and environmental protection brought about by the prosperity of tourism economy so as to realize the coordinated development of economic development and ecological environment. Compared with the traditional monitoring methods, such as manual monitoring, station monitoring, and so on, remote sensing technology has the advantages of a wide monitoring range, strong comprehensiveness, and less human resource consumption, which can enable the real-time dynamic monitoring and evaluation of vegetation coverage and ecological quality (EQ;Arjasakusuma et al., 2020;Musinsky et al., 2018).Wugong Mountain (WGM) is a popular scenic spot with its landscape, ecological, and cultural diversities. Existing research, the research on WGM mainly focuses on mountain meadow (Q. and geology (X. F. Li et al., 2018), while little is studied on the vegetation coverage and EQ of WGM. Therefore, it is of a great significance to monitor and evaluate the vegetation coverage and EQ of WGM in a certain period. It cannot only clarify its spatial distribution characteristics and changing trends, but also help realize the dynamic monitoring of the ecological environment of WGM.Vegetation is the main type of surface cover in Wugong Mountain Scenic Area (WGM). Fractional Vegetation Cover (FVC), a common indicator of vegetation monitoring using remote sensing, is used to measure the characteristic distribution of surface vegetation (Zhao et al., 2016), reflecting climate change (Tong et al., 2016) and mountain ecosystem (García-Llamas et al., 2019). In the study of mountain ecosystems, the influence of mountain topography on the formation and changes of vegetation should be taken under consideration. The most common way to reveal the relationship between vegetation and topography, is studying the topographic characteristics of vegetation coverage (Niederheiser et al., 2018). For instance, Zhang et al. (2018) demonstrated the distribution pattern of vegetation coverage in WGM meadow correlates with the terrain factors (including elevation, slope, and aspect) based on the dimidiate pixel model. By studying the correlation between vegetation

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confidence: 92%

Section: Introductionmentioning

confidence: 99%

Assessing Ecological Quality Based on Remote Sensing Images in Wugong Mountain

Gao

2022

Earth and Space Science

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“…The images were subjected to atmospheric correction for obtaining surface reflectance with minimal atmospheric and aerosol effects. Given the higher accuracy, the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercube (FLAASH) was applied to the images for correcting them atmospherically (Emran et al, 2018). FLAASH atmospheric correction module is the first-principles atmospheric correction modelling tool that starts with the conversion of image data to at sensor spectral radiance for obtaining surface reflectance through a set of equations (Emran et al, 2018;FLAASH User's Guide, 2006).…”

Section: Extraction Of Lu Using Remote Sensingmentioning

confidence: 99%

“…Given the higher accuracy, the Fast Line-of-sight Atmospheric Analysis of Spectral Hypercube (FLAASH) was applied to the images for correcting them atmospherically (Emran et al, 2018). FLAASH atmospheric correction module is the first-principles atmospheric correction modelling tool that starts with the conversion of image data to at sensor spectral radiance for obtaining surface reflectance through a set of equations (Emran et al, 2018;FLAASH User's Guide, 2006). In the first stage of the atmospheric correction process, the Digital Numbers (DN) of the images were converted to the Top of Atmospheric Radiance (TOA) using the following standard equation (USGS, 2020).…”

Section: Extraction Of Lu Using Remote Sensingmentioning

confidence: 99%

Exposure of Coastal Ecosystem Services to Natural Hazards in the Bangladesh Coast

Roy

Depellegrin

2022

Human-Nature Interactions

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Significance StatementKnowledge about the impacts of natural hazards on ecosystem services is crucial to guide the effective management of ecosystem components in a particular landscape. The coastal landscape of Bangladesh is a source of numerous ecosystem services on one hand and also exposed to natural hazards, especially to tropical cyclones on the other hand. Almost every year the tropical cyclones and associated storm surges cause severe devastation to the ecosystem services in the eastern coastal region of the country. We for the very first time in Bangladesh applied the remote sensing method with the Millennium Assessment technique to map coastal ecosystem service capacity and assess their degree of exposure to the tropical cyclone in the eastern coastal region of the country. Our study identifies the aquatic environments, mangrove and hilly forests having the highest potentials of ecosystem service capacity, which needs to be protected from the natural hazards through implementing appropriate land use and nature-focused disaster management policies for sustainable, equitable, and effective use of the ecological resources.

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“…Studying the relationship between terrain (elevation, aspect, and slope) and changes in vegetation cover can show the distribution characteristics of vegetation. There are many studies on the relationship between vegetation cover and topographic factors (Pekin, 2016;Emran et al, 2018), but there are only a few studies on topographic differentiation. In our research, the terrain difference was considered and the F-test formula was deduced in trend analysis and applied to this study.…”

Section: Introductionmentioning

confidence: 99%

Spatial-Temporal Variation and Topographic Effect of Vegetation Cover in Lvliang Mountains Area

Zhang¹,

Li²,

Li³

et al. 2022

American Journal of Biochemistry and Biotechnology

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Vegetation cover is an important ecological climate parameter and to a certain extent, it indicates the change in the regional ecological environment.To explore the impact of different terrain factors on the vegetation cover in the Lvliang mountains area and the change and improvement of vegetation cover in this area. MODIS NDVI data from 2010 to 2019 were selected to explore the spatial differences in vegetation cover at different elevations, slopes and aspects by using trend analysis and a terrain difference correction method. The results were as follows. (1) Over the last 10 years, vegetation cover was dominated by the medium-low cover and medium cover. The low cover and medium-low cover were in decline, while the medium cover and medium-high cover were increasing. (2) The proportions of the significantly reduced, basically unchanged and significantly increased vegetation cover changes were 18.49, 48.4 and 33.11%, respectively. Vegetation change generally showed a recovery trend. (3) In terms of elevation and slope, the vegetation decrease type was dominant below an elevation of 1200 m; the vegetation unchanged type was dominant at elevations greater than 1400 m and a slope greater than 6°. The vegetation increase type was dominant in the areas with an elevation of 1200-1400 m and a slope of less than 6°. (4) the aspect had a little effect on vegetation. This research can evaluate the topographic effect of vegetation change more accurately and provide an evidence-based reference for ecological environment governance and ecological construction benefit evaluation in the Lvliang mountains area.

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Assessing topographic controls on vegetation characteristics in Chittagong Hill Tracts (CHT) from remotely sensed data

Cited by 18 publications

References 75 publications

Assessing Ecological Quality Based on Remote Sensing Images in Wugong Mountain

Assessing Ecological Quality Based on Remote Sensing Images in Wugong Mountain

Exposure of Coastal Ecosystem Services to Natural Hazards in the Bangladesh Coast

Spatial-Temporal Variation and Topographic Effect of Vegetation Cover in Lvliang Mountains Area

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