Mapping paddy rice agriculture in southern China using multi-temporal MODIS images
Mapping paddy rice agriculture in southern China using multi-temporal MODIS images
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DOI：
10.1016/j.rse.2004.12.009
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发表时间：
2005-04-30
影响因子：
13.5
通讯作者：
Moore, B
中科院分区：
文献类型：
--
作者：
Xiao, XM;Boles, S;Moore, B
痕量气体排放估算、水资源管理以及粮食安全都需要有关稻田面积和空间分布的信息。稻田的特点是初期有淹水和插秧阶段，在此期间存在开阔冠层（地表水和水稻作物的混合体）。美国国家航空航天局地球观测系统（EOS）泰拉卫星上搭载的中分辨率成像光谱仪（MODIS）传感器具有可见光、近红外和短波红外波段；因此，可以计算出许多植被指数，包括归一化植被指数（NDVI）、增强型植被指数（EVI）以及对叶片水分和土壤湿度敏感的陆地表面水分指数（LSWI）。在这项研究中，我们开发了一种稻田制图算法，该算法利用从MODIS图像中获取的三个植被指数（LSWI、EVI和NDVI）的时间序列来识别稻田淹水和插秧的初期阶段，其依据是LSWI对淹水和水稻插秧期间地表湿度增加的敏感性。我们运用该算法绘制了中国南方13个省份的稻田地图，使用的是2002年8天合成的MODIS地表反射率产品（空间分辨率为500米）。我们利用从1999/2000年陆地卫星增强型专题制图仪（ETM +）图像分析中得出的全国土地覆盖数据集（比例尺为1:100,000）对生成的基于MODIS的稻田地图进行了评估。在省级和县级层面，基于MODIS的地图和基于陆地卫星的数据集在稻田面积估算上具有合理的一致性。这项研究的结果表明，基于MODIS的稻田制图算法有可能在大空间尺度上应用，以便及时且频繁地监测稻田农业。（c）2005爱思唯尔公司。版权所有。
Information on the area and spatial distribution of paddy rice fields is needed for trace gas emission estimates, management of water resources, and food security. Paddy rice fields are characterized by an initial period of flooding and transplanting, during which period open canopy (a mixture of surface water and rice crops) exists. The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the NASA EOS Terra satellite has visible, near infrared and shortwave infrared bands; and therefore, a number of vegetation indices can be calculated, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI) that is sensitive to leaf water and soil moisture. In this study, we developed a paddy rice mapping algorithm that uses time series of three vegetation indices (LSWI, EVI, and NDVI) derived from MODIS images to identify that initial period of flooding and transplanting in paddy rice fields, based on the sensitivity of LSWI to the increased surface moisture during the period of flooding and rice transplanting. We ran the algorithm to map paddy rice fields in 13 provinces of southern China, using the 8-day composite MODIS Surface Reflectance products (500-m spatial resolution) in 2002. The resultant MODIS-derived paddy rice map was evaluated, using the National Land Cover Dataset (1: 100,000 scale) derived from analysis of Landsat ETM+ images in 1999/2000. There were reasonable agreements in area estimates of paddy rice fields between the MODIS-derived map and the Landsat-based dataset at the provincial and county levels. The results of this study indicated that the MODIS-based paddy rice mapping algorithm could potentially be applied at large spatial scales to monitor paddy rice agriculture on a timely and frequent basis. (c) 2005 Elsevier Inc. All rights reserved.