A remote sensing assessment index for urban ecological livability and its application
نویسندگان
چکیده
Remote sensing provides us with an approach for the rapid identification and monitoring of spatiotemporal changes in urban ecological environment at different scales. This study aimed to construct a remote assessment index livability continuous fine resolution data from Landsat MODIS overcome dilemma single image-based, single-factor analysis, due limitations atmospheric conditions or revisit period satellite platforms. The proposed Ecological Livability Index (ELI) covers five primary indicators – greenness, temperature, dryness, water-wetness, turbidity which are geometrically aggregated by non-equal weights based on entropy method. Considering multisource time-series each indicator, ELI can quickly comprehensively reflect characteristics Quality (ELQ) is also comparable time Based ELI, central area Wuhan, China, 2002 2017, seasons was analyzed every 5 years. ELQ Wuhan found be generally medium level (ELI ?0.6) showed initial trend degradation but then improved. Moreover, spring autumn near rivers lakes better, whereas expansion has led outward afforestation enhanced environment. In general, this paper demonstrates that exemplary embodiment research, will support protection planning construction.
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ژورنال
عنوان ژورنال: Geo-spatial Information Science
سال: 2022
ISSN: ['1993-5153', '1009-5020']
DOI: https://doi.org/10.1080/10095020.2022.2072775