The data are the results of the evaluation of the remote sensing ecological quality of the Jinfo Mountain Nature Reserve and its adjacent areas in 2000, 2010 and 2020 using the Remote Sensing Ecological Index (RSEI) method developed by Xu Hanqiu of Fuzhou University to monitor and assess regional ecological changes. This index combines four important ecological indicators commonly used in the assessment of regional ecology, representing green, dry, humid and hot respectively. The four indicators are compressed into one indicator by principal component analysis (PCA) to assess the ecological status of the whole region. In the evaluation process of this project, the remote sensing image data of Landsat7 series on the USGS official website on May 12, 2000, May 24, 2010 and May 3, 2020 were also used.
File name: Remote sensing ecological index data is stored in TIFF and ENP formats. The file name is "XXXXyyyymmdd. tif", where XXXX represents the four indexes of remote sensing ecological index, yyyy represents year, mm represents month, and dd represents day. For example, NDVI20200503.tif represents the tif document describing the assessment results of the greenness index in the remote sensing ecological quality of Jinfo Mountain Nature Reserve on May 3, 2020. The ENP naming method is the same. Data reading mode: All TIFF and ENP files in the dataset can be directly opened with ENVI.
Du, W. (2022). Evaluation results of remote sensing ecological index of Jinfo Mountain Protected Area and its adjacent areas. Upper Yangtze River Scientific Data Center, (Download the reference：
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| East: 107.35 | West: 106.76 |
|---|---|
| South: 28.54 | North: 29.19 |
