Results 21 to 30 of about 450 (136)

Impacts of water surge from mountain railroad tunnels on ecological environments based on the RSEI model

open access: yesEnvironmental Science and Pollution Research, 2023
Abstract Tunnels play a significant role in mountain railroad routes and increase the efficiency of railroad traffic. However, water surge from tunnels can seriously impact the ecological environment during the construction period. This study selected a typical mountain railroad tunnel in southwest China and used the Remote Sensing Ecological ...
Wei, Liu   +6 more
openaire   +2 more sources

Evaluation of Urban Ecological Environment Quality Based on Improved RSEI and Driving Factors Analysis

open access: yesSustainability, 2023
Monitoring the quality of the urban ecological environment has become one of the important elements of promoting a sustainable urban development. The remote sensing ecological index (RSEI) provides a new research direction in urban ecological environment monitoring, combined with remote sensing. However, by using the principal component analysis method
Na Chen   +4 more
openaire   +1 more source

Quantitative study of spatiotemporal changes in ecology to monitor land degradation in Alborz Province. [PDF]

open access: yesDesert
The expansion of human activities has caused widespread disturbances in ecosystems worldwide, necessitating the development of effective tools to monitor and quantify these changes.
N. Mostafavi   +4 more
doaj   +1 more source

Assessing the Urban Eco-Environmental Quality by the Remote-Sensing Ecological Index: Application to Tianjin, North China

open access: yesISPRS International Journal of Geo-Information, 2021
The remote-sensing ecological index (RSEI), which is built with greenness, moisture, dryness, and heat, has become increasingly recognized for its use in urban eco-environment quality assessment.
Ting Zhang   +4 more
doaj   +1 more source

Spatial–Temporal Evolutions of Ecological Environment Quality and Ecological Resilience Pattern in the Middle and Lower Reaches of the Yangtze River Economic Belt

open access: yesRemote Sensing, 2023
Ecological environment quality and resilience assessment is an important prerequisite for ensuring the coordination and stability of socio-economic development and eco-environment protection.
Lu Peng, Haowei Wu, Zhihui Li
doaj   +1 more source

Spatio-temporal variation and prediction of ecological quality based on remote sensing ecological index – a case study of Zhanjiang City, China

open access: yesFrontiers in Ecology and Evolution, 2023
A significant portion of Zhanjiang City’s ecological land areas have been reduced as a result of the city’s growing urbanization, which has caused the city’s ecological environment quality to decline.
Jing Wang   +5 more
doaj   +1 more source

Spatiotemporal Change of Urban Ecologic Environment Quality Based on RSEI—Taking Meizhou City, China as an Example

open access: yesSustainability, 2022
An ecological index that is constructed based on remote sensing images can enable a rapid evaluation of the quality of the urban ecological environment and can provide a scientific basis for the construction of urban ecological civilization. Taking Meizhou City, in Guangdong in China, as a study area, based on the Landsat TM/OLI and MODIS remote ...
Zhiyun Chen   +3 more
openaire   +1 more source

Assessing the ecological impacts of opencast coal mining in Qinghai-Tibet Plateau-a case study in Muli coal field, China

open access: yesEcological Indicators, 2023
Coal-based industries are critical to the contemporary world's growth, while the environmental degradation associated with the industry is also increasing. In this study, we develop the Remote Sensing Ecological Index (RSEI) and map its distribution from
Wu Xiao   +4 more
doaj   +1 more source

Eco-Environmental Effect Evaluation of Tamarix chinesis Forest on Coastal Saline-Alkali Land Based on RSEI Model

open access: yesSensors, 2022
Taking representative Tamarix chinensis forest in the national-level special protection zone for ocean ecology of Changyi city in Shandong province of China as the objective, this research studied how to use remote sensing technology to evaluate natural eco-environment and analyze spatiotemporal variation.
Jin Wang, Guangxue Li, Feiyong Chen
openaire   +3 more sources

Spatial Heterogeneity of Driving Factors in Multi-Vegetation Indices RSEI Based on the XGBoost-SHAP Model: A Case Study of the Jinsha River Basin, Yunnan

open access: yesLand
The Jinsha River Basin in Yunnan serves as a crucial ecological barrier in southwestern China. Objective ecological assessment and identification of key driving factors are essential for the region’s sustainable development. The Remote Sensing Ecological
Jisheng Xia   +3 more
doaj   +1 more source

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