Wang, J.; Jiang, L.; Qi, Q.; Wang, Y. Ecological Quality Evaluation of Large-scale Farm Based on Improved Remote Sensing Ecological Index. Preprints2023, 2023120988. https://doi.org/10.20944/preprints202312.0988.v1
APA Style
Wang, J., Jiang, L., Qi, Q., & Wang, Y. (2023). Ecological Quality Evaluation of Large-scale Farm Based on Improved Remote Sensing Ecological Index. Preprints. https://doi.org/10.20944/preprints202312.0988.v1
Chicago/Turabian Style
Wang, J., Qingwen Qi and Yongji Wang. 2023 "Ecological Quality Evaluation of Large-scale Farm Based on Improved Remote Sensing Ecological Index" Preprints. https://doi.org/10.20944/preprints202312.0988.v1
Abstract
Large-scale farms are pivotal sites for the development of the agricultural industry, and the quality of the ecological environment is a significant factor affecting the growth of cereal crops. Consequently, assessing the ecological quality of large-scale farms is of great importance. This paper leverages the advantages of remote sensing imagery for long-term, quantitative, and dynamic monitoring of ecological quality over extensive areas. It develops an ecological assessment procedure suitable for agricultural regions based on an Improved Remote Sensing Ecological Index (IRSEI), which considers the coupling of ecosystem component elements. This procedure introduces a Pan-Salinity Index (PSI) tailored to the characteristics of soil salinization in farming areas and incorporates an ecological greenness index based on the Normalized Difference Vegetation Index (NDVI), an ecological humidity index derived from the K-T transform (WET), an ecological dryness index synthesized from the bare soil index and the built-up index (NDBSI), and an ecological heat index represented by the Land Surface Temperature (LST) calculated from atmospheric parameter models. These five indices are integrated into the ecological assessment system. The experimental results visually demonstrate the development and changes of ecological impact factors in the farm research area over the past decade, as well as the spatiotemporal variations in the quality of the farm's ecological environment. The findings indicate that between 2010 and 2019, the overall trend of IRSEI first declined, then rose, and subsequently experienced a slight decrease. Through differential analysis, regions and areas with declining ecological quality were identified, providing a data reference for the formulation and implementation of future ecological protection and management measures for the farm. The proposed IRSEI method offers a rapid and effective new monitoring approach for agricultural planting areas with a tendency towards soil salinization.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
