Open AccessEvaluation algorithm of alhagi sparsifolia desertification control under different irrigation amounts
Author(s) -
Juan Li,
Wei Liu,
Xinxin Zhang
Publication year - 2021
Publication title -
earth sciences research journal/earth sciences research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.181
H-Index - 15
eISSN - 2339-3459
pISSN - 1794-6190
DOI - 10.15446/esrj.v24n4.91626
Subject(s) - desertification , irrigation , vegetation (pathology) , algorithm , remote sensing , vegetation index , analytic hierarchy process , index (typography) , computer science , environmental science , range (aeronautics) , grassland , agricultural engineering , mathematics , normalized difference vegetation index , leaf area index , geography , operations research , agronomy , engineering , ecology , medicine , pathology , world wide web , biology , aerospace engineering
Desertification control is an important issue that must be considered in modern society. In order to effectively improve the accuracy and practicability of the evaluation algorithm of desertification control effect, the Alhagi sparsifolia index under different irrigation amount was taken as the research object, and the evaluation algorithm of desertification control effect was proposed. In the “vegetation-sandstorm-soil” index system, a number of indexes were selected according to the core environmental parameters of Alhagi sparsifolia and grassland desertification. And the analytic hierarchy process, remote sensing, geographic information system, and landscape technology were used to assign index weights of desertification control capacity, which were calculated by multiple discriminant matrices. Finally, the data regression analysis was performed based on remote sensing and computer image information screening and processing to determine the final evaluation results. The experimental data show that the true positive rate of the algorithm in this paper is between 160 and 200, which is within a large range of advantages, indicating that the overall evaluation accuracy of the algorithm is high and the evaluation effect is perfect.