Forest cover and land use map of the Chunati Wildlife Sanctuary based on participatory mapping and satellite images: Insight into Chunati beat

Zafar, Tanjia Binte; Ding, Wei; Din, Shakir Ul; Khan, Ghulam Murtaza; Chen, Hao; He, Li

doi:10.1016/j.landusepol.2020.105193

Cited by 12 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accuracy assessment process was carried out at the end of the analysis to validate and reduce errors in observed land-use data for 2005, 2011, and 2018. In this method, classified data can be compared with the accurate ground truth data, Google Earth image, and VHRS data set (Zafar et al, 2021). The error matrix can be used to describe the quality of the map obtained from the data (Hailu et al, 2020).…”

Section: Accuracy Assessmentsmentioning

confidence: 99%

Spatio‐temporal analysis of land use/land cover change and urban growth dynamics of Silchar City, India using very high‐resolution satellite data and the Shannon entropy model

2023

View full text Add to dashboard Cite

Silchar City and its surrounding areas have witnessed massive population growth in the last few decades due to local and migrated peoples, which led to the rapid transformation of its land use/land cover (LU/LC) pattern. The spatio‐temporal very high‐resolution satellite data (VHRS) and on‐screen visual interpretation techniques were used for detailed large‐scale LU/LC analysis. The LU/LC classification of the City has been prepared for 2005, 2011, and 2018 with five primary and a further 17 sub‐classes. In the present study use was made of the Census of India reports from 1991 to 2011, and the geometrical increase method was used to evaluate the ward‐level population, population density, and land requirements for residential purposes; these have been predicted from 2021 to 2051 with every 10 years interval. The ity's wards have been classified into five zones, and the Shannon entropy model has been applied to analyze the degree of randomness and trends of urban built‐up growth. The obtained results indicate that Silchar City is compact near the center, which follows the infill built‐up growth trend. However, as the distance increased from its center, the scattering with an infill growth pattern was observed. The accuracy assessment techniques are used to validate the results of the classification. The results of this study can provide detailed information for land‐use planners, researchers, policy‐decision makers, and municipal authorities.

show abstract

Section: Accuracy Assessmentsmentioning

confidence: 99%

Spatio‐temporal analysis of land use/land cover change and urban growth dynamics of Silchar City, India using very high‐resolution satellite data and the Shannon entropy model

2023

View full text Add to dashboard Cite

show abstract

“…Zhu et al proposed a landscape service indicator system for Jiuzhaigou Nature Reserve using PPGIS [7], combining the analysis of natural resources of Jiuzhaigou and semi-structured interview data from landscape service users. Zafar et al used this method to explore forest cover and land use in the wildlife sanctuaries of southern Bangladesh [8]. This has provided a basis for decision makers to mitigate the conflict between people and land and to further implement forest protection measures and land policies.…”

Section: Introductionmentioning

confidence: 99%

Social Value of Urban Green Space Based on Visitors’ Perceptions: The Case of the Summer Palace, Beijing, China

Huang,

Liu,

Liang

et al. 2023

Forests

View full text Add to dashboard Cite

Urban green spaces play a key role in constructing an ecological civilization in China. In this context, the realization and assessment of the social value of urban green spaces have received increasing attention. Taking the visitors of the Summer Palace in Beijing as the research object, this study used the public participation geographic information system (PPGIS) to collect research data, assess the social value of ecosystem services in the Summer Palace, and determine its spatial distribution. By examining the social value of urban green spaces, this study explored the relationship between the spatial distribution of ecosystem social value and environmental landscape features. The influence of different environmental values on the spatial distribution of the visitors’ perceived social value was also investigated to provide a decision-making basis for the planning and management of urban ecological spaces and the supply and protection of urban ecological products. This study found that cultural, historical, and aesthetic values were preferred by an increasing number of visitors. The hotspots of social value in the Summer Palace of Beijing have three cores and multiple centers. By analyzing the relationship between the three value types with higher preference and the environmental landscape features of the Summer Palace, this study found that the distribution of social values is closely related to the architectural complexes and waters. Anthropocentrists have smaller sample sizes and generally lower social value indices within the sample group, and ecocentrists have higher perceptions of overall social values.

show abstract

“…Poaching is a criminal act that focuses on selling animal parts in a foreign market. The basis for the study is a detailed count of the animals in a certain area (Numbere, 2022;Zafar et al, 2021). The ability to gather data on free-ranging wildlife has historically been constrained by limitations in manual data gathering (such as extrapolating transect counts), but this has significantly improved as a result of RS automation.…”

Section: Introductionmentioning

confidence: 99%

Applications of Remote Sensing as Climate Resilience Technique: A Bibliometric Research Trends Analysis

Ghosh

2023

GLCE

View full text Add to dashboard Cite

Regional variances in climate, soil, and topography make agricultural production systems particularly fragile. Animal health are negatively impacted by variations in air temperature, precipitation, frequency, and intensity of extreme weather events. For its assessment and administration, cutting-edge methods like remote sensing (RS), global positioning systems, and geographic information systems (GIS) might be very beneficial. The RM & GIS are essential tools with numerous applications for tackling these problems. The impact of climatic and human-induced changes on the environment is receiving more attention as a result of climate change. Due to climate change and human activity, "desertification" describes the degradation of land in arid, semiarid, and dry sub-humid regions. Natural resource sustainability in changing climates can be obtained with the application of RS and GIS. In this review article, the issues towards wildlife were demonstrated and the application of remote sensing was discussed to reduce the impact of climate change to save the wildlife and its preservation. Further, the bibliometric analysis was conducted via R-studio Bibliometric tool, which entailed that developed countries (USA, Canada, Germany) are more forward to applying remote sensing tool to mitigate climate risks.

show abstract

Forest cover and land use map of the Chunati Wildlife Sanctuary based on participatory mapping and satellite images: Insight into Chunati beat

Cited by 12 publications

References 22 publications

Spatio‐temporal analysis of land use/land cover change and urban growth dynamics of Silchar City, India using very high‐resolution satellite data and the Shannon entropy model

Spatio‐temporal analysis of land use/land cover change and urban growth dynamics of Silchar City, India using very high‐resolution satellite data and the Shannon entropy model

Social Value of Urban Green Space Based on Visitors’ Perceptions: The Case of the Summer Palace, Beijing, China

Applications of Remote Sensing as Climate Resilience Technique: A Bibliometric Research Trends Analysis

Contact Info

Product

Resources

About