为解决区域问题,该文提出一种基于SLEUTH(slope land use exclusive layer urbanization transportation hillshade)模型的主体功能区划方法,可以根据土地利用的变化趋势对已划分好的主体功能区进行适当调整。以快速城镇化典型区苏锡地区为例,运用SLEUTH模型对已划分好的主体功能区从2009-2030年在不同情景下进行模拟,直观地反映出主体功能区划对土地利用变化的影响,据此对初次划分中由于条件模糊而难以判断的部分区域进行调整和优化,从而得到苏锡地区完整的主体功能区。结果表明该方法使主体功能区划具有直观的预测性和可调整性。该方法为合理实施主体功能区划提供技术性保障。
Hyperspectral data are an important source for monitoring soil salt content on a large scale. However, in previous studies, barriers such as interference due to the presence of vegetation restricted the precision of mapping soil salt content. This study tested a new method for predicting soil salt content with improved precision by using Chinese hyperspectral data, Huan Jing-Hyper Spectral Imager(HJ-HSI), in the coastal area of Rudong County, Eastern China. The vegetation-covered area and coastal bare flat area were distinguished by using the normalized differential vegetation index at the band length of 705 nm(NDVI705). The soil salt content of each area was predicted by various algorithms. A Normal Soil Salt Content Response Index(NSSRI) was constructed from continuum-removed reflectance(CR-reflectance) at wavelengths of 908.95 nm and 687.41 nm to predict the soil salt content in the coastal bare flat area(NDVI705 < 0.2). The soil adjusted salinity index(SAVI) was applied to predict the soil salt content in the vegetation-covered area(NDVI705 ≥ 0.2). The results demonstrate that 1) the new method significantly improves the accuracy of soil salt content mapping(R2 = 0.6396, RMSE = 0.3591), and 2) HJ-HSI data can be used to map soil salt content precisely and are suitable for monitoring soil salt content on a large scale.
LI JianguoPU LijieZHU MingDAI XiaoqingXU YanCHEN XinjianZHANG LifangZHANG Runsen
