We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Change of cultivated land and its driving factors in Alar reclamation area in the past thirty years.
- Authors
SONG Qi; FENG Chunhui; GAO Qi; WANG Mingyue; WU Jialin; PENG Jie
- Abstract
The clarification of the dynamic change trend of cultivated land and its driving factors is an important basis for ensuring national food security, rationally developing and utilizing soil and water resources and adjusting land use structure. Taking Alar reclamation area in southern Xinjiang as an example and based on Landsat satellite remote sensing images, population, GDP and other data of seven important periods from 1990 to 2019, the authors selected the best algorithm to interpret remote sensing images by comparing the accuracy of five classification algorithms comprising SAM - CRF, ANN - CRF, MDC - CRF, MLC - CRF and SVM - CRF. Next, the characteristics of cultivated land area change, type transformation and spatial dynamic change were analyzed by using the interpretation results, and then the main driving factors, action path and intensity of cultivated land area change were discussed. The results show that the SVM - CRF algorithm has the highest classification accuracy among the five classification algorithms, with the overall accuracy of 0.95 and the Kappa coefficient of 0.94. The overall accuracy of the other four algorithms is between 0. 65 and 0. 89, and the Kappa coefficient is between 0. 58 and 0. 86. The area of cultivated land in the study area has continued to increase in the past three decades, and the net increase in cultivated land area is 729. 97 km² (312. 21%). Cultivated land transfer - in and transfer - out has shown a trend of outward expansion and inward contraction, respectively. Total population, GDP, Total Investment in Fixed Assets, gross agricultural product and cotton price are the main driving factors for the change of cultivated land area, among which GDP has the greatest direct impact on the change of cultivated land area, while cotton price has the least impact. Except that GDP has a negative effect on cultivated land area, the other four factors have a positive effect on cultivated land area, and the overall performance of the five factors is a positive effect.
- Publication
Remote Sensing for Natural Resources, 2021, Vol 33, Issue 2, p202
- ISSN
2097-034X
- Publication type
Article
- DOI
10.6046/gtzyyg.2020183