2013年与2018年平潭岛30米RSEI数据集（第一版）

数据的主要内容是平潭岛在2013年与2018年的RSEI分级，数据是从绿度、湿度、干度、热度四个指标进行计算RSEI，其中，绿度指标使用FVC，湿度指标使用WET，干度指标使用NDSI，热度指标使用LST，最终选择主成分方法提取第一主成分，确保第一主成分在70%以上，将其作为最终的RSEI此数据在项目中的作用：对处于亚热带中的平潭岛的两个时期进行生态环境质量评价，从而研究区域内的生态维持状况，可以在一定程度上为不同自然带的生态维持评价对比提供参考依据。The core content of this dataset is the RSEI (Remote Sensing-based Ecological Index) classifications of Pingtan Island in 2013 and 2018. The RSEI was computed using four indicators: greenness (characterized by Fractional Vegetation Cover, FVC), wetness (using the WET index), dryness (using the Normalized Difference Soil Index, NDSI), and heat (using Land Surface Temperature, LST). Subsequently, the principal component analysis method was adopted to extract the first principal component, which explained more than 70% of the total variance, and this component was utilized as the final RSEI. The application of this dataset in the project is to conduct eco-environmental quality assessments of Pingtan Island, a subtropical region, across the two aforementioned periods, so as to investigate the ecological maintenance status within the study area. Moreover, it can provide reference for comparative studies on ecological maintenance evaluations across different natural zones.

搜集汇总

背景与挑战

背景概述

该数据集包含2013年和2018年平潭岛的30米分辨率RSEI数据，通过绿度、湿度、干度和热度四个指标计算，用于评估该地区的生态环境质量。数据来源于Landsat遥感影像，采用主成分分析方法确保数据质量。