Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2

Reasonable allocation of urban resources can effectively control changes in ecological quality. This study used Sentinel-2 images, taking urban functional areas as the dividing scale, and combined spatial analysis, statistics, and other relevant methods to explore the factors influencing remote sens...

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Egile Nagusiak: Qiang Fan, Yue Shi, Xiaonan Song, Nan Cong
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2023-04-01
Saila:Remote Sensing
Gaiak:
Sarrera elektronikoa:https://www.mdpi.com/2072-4292/15/8/2156
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author Qiang Fan
Yue Shi
Xiaonan Song
Nan Cong
author_facet Qiang Fan
Yue Shi
Xiaonan Song
Nan Cong
author_sort Qiang Fan
collection DOAJ
description Reasonable allocation of urban resources can effectively control changes in ecological quality. This study used Sentinel-2 images, taking urban functional areas as the dividing scale, and combined spatial analysis, statistics, and other relevant methods to explore the factors influencing remote sensing ecological quality in Puxi, Shanghai, China. Landsat-8 and high-resolution Sentinel-2 data fusion achieved more refined remote sensing ecological index (RSEI) distribution data, which is of great significance for ecological quality exploration in small areas; the degree of influence of the selected research factors on the RSEI was spectral index > building > social perception > terrain. The R-value of the soil-adjusted vegetation index (SAVI) was 0.970, and it exerted the strongest influence. The R-value of the average building height was 0.103, indicating that it had the weakest influence. The interactions among the selected factors were mainly two-factor and nonlinear enhancements. Most factor combinations exhibited two-factor enhancement. There were six groups of factor combinations for nonlinear enhancement, of which five were related to the average building height. The results of the present study provide a reference for multi-path ecological quality control in small-area regions.
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spelling doaj.art-16f718c20f3d4c46a0a5cb7ed37ff03f2023-11-17T21:12:49ZengMDPI AGRemote Sensing2072-42922023-04-01158215610.3390/rs15082156Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2Qiang Fan0Yue Shi1Xiaonan Song2Nan Cong3School of Geomatics, Liaoning Technical University, Fuxin 123000, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin 123000, ChinaSchool of Geomatics, Liaoning Technical University, Fuxin 123000, ChinaLhasa Plateau Ecosystem Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaReasonable allocation of urban resources can effectively control changes in ecological quality. This study used Sentinel-2 images, taking urban functional areas as the dividing scale, and combined spatial analysis, statistics, and other relevant methods to explore the factors influencing remote sensing ecological quality in Puxi, Shanghai, China. Landsat-8 and high-resolution Sentinel-2 data fusion achieved more refined remote sensing ecological index (RSEI) distribution data, which is of great significance for ecological quality exploration in small areas; the degree of influence of the selected research factors on the RSEI was spectral index > building > social perception > terrain. The R-value of the soil-adjusted vegetation index (SAVI) was 0.970, and it exerted the strongest influence. The R-value of the average building height was 0.103, indicating that it had the weakest influence. The interactions among the selected factors were mainly two-factor and nonlinear enhancements. Most factor combinations exhibited two-factor enhancement. There were six groups of factor combinations for nonlinear enhancement, of which five were related to the average building height. The results of the present study provide a reference for multi-path ecological quality control in small-area regions.https://www.mdpi.com/2072-4292/15/8/2156remote sensing ecological qualityGEO-detectorinfluence factorurban functional areaSentinel-2
spellingShingle Qiang Fan
Yue Shi
Xiaonan Song
Nan Cong
Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2
Remote Sensing
remote sensing ecological quality
GEO-detector
influence factor
urban functional area
Sentinel-2
title Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2
title_full Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2
title_fullStr Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2
title_full_unstemmed Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2
title_short Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2
title_sort study on factors affecting remote sensing ecological quality combined with sentinel 2
topic remote sensing ecological quality
GEO-detector
influence factor
urban functional area
Sentinel-2
url https://www.mdpi.com/2072-4292/15/8/2156
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