Journal ArticleDOI
Spatiotemporal evolution of environment based on integrated remote sensing indexes in arid inland river basin in Northwest China
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TLDR
The results indicated that the environmental quality of SRB was generally improved from 1995 to 2016, and the improvement areas were mainly concentrated in the oasis and marginal areas, while environmental damage areas are mainly distributed in the urban regions.Abstract:
Arid inland river basin has been regarded as environmental vulnerable and an important protective area in northwest China. Shiyang River Basin (SRB) is one of the most typical areas in arid inland rivers basin in China. The environmental quality evaluation of different periods is significant for environmental control and management of SRB. In this paper, the normalized differential vegetation index (NDVI), wetness index (WI), albedo, index-based built-up index (IBI), salinization index (SI), and land surface temperature (LST) were obtained through Landsat TM and OLI images in 1995, 2000, 2005, 2010, and 2016. Besides, three methods including spatial principal component analysis (SPCA), analytic hierarchy process (AHP), and remote-sensing spatial distance model (RSSDM) were compared to select a reasonable method for environmental evaluation. The AHP method was determined as the final method for objectively evaluating spatiotemporal changes of environment from 1995 to 2016 in SRB. The results showed that the environment deteriorated in 1995-2000 and improved in 2000-2016. The effect of environmental governance was significant in 2010-2016 because of the longtime environmental management between multiple departments. The results indicated that the environmental quality of SRB was generally improved from 1995 to 2016. We found that the improvement areas were mainly concentrated in the oasis and marginal areas, while environmental damage areas were mainly distributed in the urban regions. However, in most areas of the SRB, the environment was still below average level of China, and the roads of the environment management still had a long way to go. We found that spatiotemporal pattern analysis of the environment was of great importance for the formulation of plans for development of this basin and environmental protection measures.read more
Citations
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Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data
TL;DR: Wang et al. as discussed by the authors built the Remote Sensing Ecological Index (RSEI) based on Landsat data and Tiangong-2 WIS, using multi-source remote sensing data to comprehensively evaluate the coupling and coordination relationship between urbanization and ecological environment with a coupling coordination degree model.
Journal ArticleDOI
Temperature Vegetation Precipitation Dryness Index (TVPDI)-based dryness-wetness monitoring in China
TL;DR: In this article, a new Remote Sensing (RS) dryness index, called the Temperature Vegetation Precipitation Dryness Index (TVPDI), was defined and developed using the Euclidean distance method and three-dimensional (3D) P-Normalized Difference Vegetation Index (NDVI)-LST.
Journal ArticleDOI
Spatiotemporal Change and Landscape Pattern Variation of Eco-Environmental Quality in Jing-Jin-Ji Urban Agglomeration From 2001 to 2015
TL;DR: The Jing-Jin-Ji (JJJ) urban agglomeration was selected as the study area and a comprehensive index, the remote sensing ecological index (RSEI), was utilized to understand the eco-environment spatiotemporal change and landscape pattern variation at class-level and landscape-level of JJJ during 2001~2015.
Journal ArticleDOI
Finer-scale spatiotemporal coupling coordination model between socioeconomic activity and eco-environment: A case study of Beijing, China
Bowen Cai,Zhenfeng Shao,Shenghui Fang,Xiao Huang,Md. Enamul Huq,Yun Tang,Yong Li,Qingwei Zhuang +7 more
TL;DR: Wang et al. as discussed by the authors explored the relationship between urban socioeconomic activity intensity (SAI) and regional eco-environment (REE) in Beijing during the period of January 2018 to May 2020 based on nighttime light data and MODIS images.
Journal ArticleDOI
Assessment of spatial and temporal ecological environment quality under land use change of urban agglomeration in the North Slope of Tianshan, China
TL;DR: In this paper, the spatial-temporal changes of land use and land cover on the UANST from 2001 to 2018 based on remote sensing analysis was quantified and assessed the spatial and spatial pattern of the landscape on the North Slope of Tianshan (UANST) is in the core area of the Silk Road Economic Belt of China.
References
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Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors
TL;DR: In this paper, a summary of the current equations and rescaling factors for converting calibrated Digital Numbers (DNs) to absolute units of at-sensor spectral radiance, Top-Of- Atmosphere (TOA) reflectance, and atsensor brightness temperature is provided.
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Land surface temperature retrieval from LANDSAT TM 5
TL;DR: In this paper, three methods to retrieve the land surface temperature (LST) from thermal infrared data supplied by band 6 of the Thematic Mapper (TM) sensor onboard the Landsat 5 satellite are compared.
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Challenges in the development and use of ecological indicators
TL;DR: Ecological indicators need to capture the complexities of the ecosystem yet remain simple enough to be easily and routinely monitored.
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Narrowband to broadband conversions of land surface albedo I Algorithms
TL;DR: In this paper, the authors applied an approach that decouples surface reflectance spectra from the real-time radiative transfer simulations to calculate the total shortwave albedo, total-, direct-, and diffuse-visible, and near-infrared broadband albedos for several narrowband sensors.
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Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia.
TL;DR: A significant strong correlation between mean LST and the density of impervious surface and green space along the urban-rural gradients of the three cities is found, highlighting the important role of green spaces in mitigating UHI effects, an important urban ecosystem service.