An Ecological Quality Evaluation of Large-Scale Farms Based on an Improved Remote Sensing Ecological Index
文献类型：期刊论文
| 作者 | Wang, Jun3,4; Jiang, Lili2,3; Qi, Qingwen2,3,4; Wang, Yongji1,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024-02-01 |
| 卷号 | 16期号:4页码:31 |
| 关键词 | large-scale farms ecological quality remote sensing ecological index salinity index |
| DOI | 10.3390/rs16040684 |
| 通讯作者 | Jiang, Lili(jiangll@igsnrr.ac.cn) |
| 英文摘要 | The ecological quality of large-scale farms is a critical determinant of crop growth. In this paper, an ecological assessment procedure suitable for agricultural regions should be developed based on an improved remote sensing ecological index (IRSEI), which introduces an integrated salinity index (ISI) tailored to the salinized soil characteristics in farming areas and incorporates ecological indices such as the greenness index (NDVI), the humidity index (WET), the dryness index (NDBSI), and the heat index (LST). The results indicate that between 2013 and 2022, the mean IRSEI increasing from 0.500 in 2013 to 0.826 in 2020 before decreasing to 0.646 in 2022. From 2013 to 2022, the area of the farm that experienced slight to significant improvements in ecological quality reached 1419.91 km2, accounting for 71.94% of the total farm area. An analysis of different land cover types revealed that the IRSEI performed more reliably than did the original RSEI method. Correlation analysis based on crop yields showed that the IRSEI method was more strongly correlated with yield than was the RSEI method. Therefore, the proposed IRSEI method offers a rapid and effective new means of monitoring ecological quality for agricultural planting areas characterized by soil salinization, and it is more effective than the traditional RSEI method. |
| WOS关键词 | SOIL-SALINITY ; IMPERVIOUS SURFACE ; LAND ; TEMPERATURE ; MOISTURE ; STRESS |
| 资助项目 | Third Xinjiang Scientific Expedition of China |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001172316300001 |
| 资助机构 | Third Xinjiang Scientific Expedition of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203143]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jiang, Lili |
| 作者单位 | 1.Zhengzhou Univ, Sch Geosci & Technol, Zhengzhou 450001, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jun,Jiang, Lili,Qi, Qingwen,et al. An Ecological Quality Evaluation of Large-Scale Farms Based on an Improved Remote Sensing Ecological Index[J]. REMOTE SENSING,2024,16(4):31. |
| APA | Wang, Jun,Jiang, Lili,Qi, Qingwen,&Wang, Yongji.(2024).An Ecological Quality Evaluation of Large-Scale Farms Based on an Improved Remote Sensing Ecological Index.REMOTE SENSING,16(4),31. |
| MLA | Wang, Jun,et al."An Ecological Quality Evaluation of Large-Scale Farms Based on an Improved Remote Sensing Ecological Index".REMOTE SENSING 16.4(2024):31. |
入库方式： OAI收割
来源：地理科学与资源研究所
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