Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach
Land Degradation Monitoring in the Ordos Plateau of China Using an Expert Knowledge and BP-ANN-Based Approach
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利用专家知识和基于 BP-ANN 的方法监测中国鄂尔多斯高原土地退化
DOI：
10.3390/su8111174
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发表时间：
2016-11
期刊：
影响因子：
3.9
通讯作者：
Dong, Jin
中科院分区：
文献类型：
--
作者：
Ye, Xinyue;Mao, Rui;Wan, Jinhong;Dong, Jin
土地退化监测对于促进土地可持续利用提供科学信息至关重要。本文提出了一种基于专家知识和基于 BP-ANN 的方法来检测和监测土地退化，以克服图像分类和基于植被指数的方法的缺陷。所提出的方法包括三个通用步骤：（1）从领域专家那里提取有关土地退化程度与诱发因素（NDVI 和反照率）之间关系的知识； (2)建立基于BP-ANN算法的土地退化检测模型； (3)土地退化动态分析。对1990年、2000年和2010年中国鄂尔多斯高原土地退化发展情况进行了综合分析。结果表明，该方法监测土地退化情况可靠，总体准确率达到91.2%。 1990-2010年，鄂尔多斯高原土地退化呈现逆转趋势。土地退化动态相对较高的地区大多位于鄂尔多斯高原东北部。此外，大多数地区已从土地退化热点地区转变为变化较小的地区。研究表明，土地利用优化对于有效控制土地退化具有关键作用。但需要强调的是，此类战略的目标应针对造成土地退化的主要负面因素，土地利用类型及其数量必须满足人口需求并与自然条件相协调。本案例研究的结果表明，专家知识和基于 BP-ANN 的方法在绘制土地退化地图方面是有效的。
Land degradation monitoring is of vital importance to provide scientific information for promoting sustainable land utilization. This paper presents an expert knowledge and BP-ANN-based approach to detect and monitor land degradation in an effort to overcome the deficiencies of image classification and vegetation index-based approaches. The proposed approach consists of three generic steps: (1) extraction of knowledge on the relationship between land degradation degree and predisposing factors, which are NDVI and albedo, from domain experts; (2) establishment of a land degradation detecting model based on the BP-ANN algorithm; and (3) land degradation dynamic analysis. A comprehensive analysis was conducted on the development of land degradation in the Ordos Plateau of China in 1990, 2000 and 2010. The results indicate that the proposed approach is reliable for monitoring land degradation, with an overall accuracy of 91.2%. From 1990–2010, a reverse trend of land degradation is observed in Ordos Plateau. Regions with relatively high land degradation dynamic were mostly located in the northeast of Ordos Plateau. Additionally, most of the regions have transferred from a hot spot of land degradation to a less changed area. It is suggested that land utilization optimization plays a key role for effective land degradation control. However, it should be highlighted that the goals of such strategies should aim at the main negative factors causing land degradation, and the land use type and its quantity must meet the demand of population and be reconciled with natural conditions. Results from this case study suggest that the expert knowledge and BP-ANN-based approach is effective in mapping land degradation.
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DOI：
--
发表时间：
2011
期刊：
Journal of Desert Research
影响因子：
--
作者：
Xie Jia-li
通讯作者：
Xie Jia-li
影响因子：
3
作者：
Y. Zha;Yan-sui Liu;Xiangzheng Deng
通讯作者：
Y. Zha;Yan-sui Liu;Xiangzheng Deng
影响因子：
--
作者：
Shi Pei-jun
通讯作者：
Shi Pei-jun
影响因子：
4.7
作者：
J. Vogt;U. Safriel;G. V. Maltitz;Y. Sokona;R. Zougmoré;G. Bastin;J. Hill
通讯作者：
J. Vogt;U. Safriel;G. V. Maltitz;Y. Sokona;R. Zougmoré;G. Bastin;J. Hill
影响因子：
6.2
作者：
Jiongxin Xu
通讯作者：
Jiongxin Xu