基于典型物候特征的MODIS_EVI时间序_省略_作物种植面积提取方法_小区域冬.pdf

1007-4619 (2011) 03-578-17 Journal of Remote Sensing 遥感学报 Crop area estimation based on MODIS-EVI time series according to distinct characteristics of key phenology phases: a case study of winter wheat area estimation in small-scale area 1 1 1 2 1 PAN Yaozhong , LI Le , ZHANG Jinshui , LIANG Shunlin , HOU Dong 1. College of Resources Science Technology, State Key Laboratory of Earth Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China; 2. Department of Geography, University of Maryland, College Park, Maryland, MD 20742, USA Abstract: Other than the refl ectance comparing to natural vegetation, various types of crop have their own representative phe- nological calendar features. This dramatic change of crops along seasons makes a great difference to the regular order changes of natural vegetation. MODIS-VI time series become the best indicator for these phonological features. In this paper, a new crop area index, called Pan-CPI, is proposed to refl ect the quantitative functional relationship between the MODIS-EVI time series and crop planted area. The research region is located at Tongzhou, Beijing and its surrounding areas. The winter wheat planted area was determined by the key parameters of the Pan-CPI model from the samples collected by TM images and MODIS-EVI time series. The results demonstrated that: (1) The Pan-CPI model can well monitor the goal crop area and provide a new method for crop area estimation based on MODIS-EVI time series. (2) Accuracy analysis shows that: A