Sloping farmland identification using hierarchical classification in the Xi-He region of China
Sloping farmland identification using hierarchical classification in the Xi-He region of China
复制标题
西河地区坡耕地等级分类识别
DOI：
10.1080/01431161.2012.715772
复制
发表时间：
2013-01
影响因子：
3.4
通讯作者：
Li, Rong1
中科院分区：
文献类型：
--
作者：
Li, Y.1, 2;Gong, Jianhua1, 2;Wang, Dongchuan3;An, Leping4;Li, Rong1
黄土高原是我国水土流失最严重的地区。坡耕地是该地区最常见的土地类型之一，其水土流失严重。基于高分辨率卫星影像的分析在坡耕地调查中具有重要作用。采用遥感（RS）与地理信息系统（GIS）相结合的方法，在系统分类框架下，对黄土高原西河生态工程示范区坡耕地进行了调查。本文综合利用SPOT-5高分辨率影像、TM多光谱影像和1：10,000地形图，计算坡耕地类型的光谱、纹理和坡度属性。利用当地专家提供的先验知识，采用贝叶斯分类方法来区分作物和非作物区域。在人机交互判读条件下，结合Gabor滤波和灰度共生矩阵（GLCM）方法提取坡耕地与梯田的纹理趋势和密度分布差异，并采用基于窗口的纹理分析操作方法。野外调查分类精度评估表明，总的解释精度超过80%。研究区坡耕地面积为233.06 km 2，杨柳河流域等小流域是今后重点治理的流域。
The Loess Plateau suffers the most serious soil erosion in China. Sloping cultivated land is one of the most common land types in the region, and it leads to severe soil erosion. Analyses based on fine resolution satellite imagery can play a key role in the surveying of sloping farmland. In this article, a combination of remote-sensing (RS) and geographical information system (GIS) techniques under the hierarchical classification framework is used to investigate the sloping cultivated land in the Xi–He ecological engineering demonstration region of the Loess Plateau. This article synthetically adopts Système Pour l'Observation de la Terre 5 (SPOT-5) high-resolution images, Thematic Mapper (TM) multi-spectral images, and a terrain map at a scale of 1:10,000 to calculate the spectral, textural, and slope attributes of the sloping land type. A Bayesian classification method is employed to distinguish the crop and non-crop areas with a priori knowledge provided by local experts. The Gabor filter and the grey-level co-occurrence matrices (GLCM) method are used in combination under a man–machine interactive interpretation to extract the differences of texture trends and density distributions between sloping cultivated land and terraces, and a window-based method of texture analysis operations is adopted. A classification accuracy assessment by field survey shows that the total interpretation accuracy exceeds 80%. The sloping cultivated land in the research region covers an area of 233.06 km2, and the sub-watersheds, such as the Yangliu watershed, need key management in the future.
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DOI：
--
发表时间：
2004
期刊：
Bulletin of Soil and Water Conservation
影响因子：
--
作者：
Liu Yong-mei;Yang Qin-ke
通讯作者：
Liu Yong-mei;Yang Qin-ke
影响因子：
2.6
作者：
M. Tsaneva;D. Krezhova;T. Yanev
通讯作者：
M. Tsaneva;D. Krezhova;T. Yanev
DOI：
10.1109/tgrs.2003.814628
发表时间：
2003-09-01
影响因子：
8.2
作者：
Dekker, RJ
通讯作者：
Dekker, RJ
DOI：
--
发表时间：
1999
期刊：
Journal of Mountain Research
影响因子：
--
作者：
Yang Zisheng
通讯作者：
Yang Zisheng
影响因子：
7
作者：
Bennett, Michael T.
通讯作者：
Bennett, Michael T.