%0 Journal Article
%T Extraction of Multi-Crop Planting Areas from MODIS Data<br>基于MODIS时序NDVI特征值提取多作物播种面积的方法
%A 杨小唤
%A 张香平
%A 江东
%J 资源科学
%D 2004
%I 
%X One of the major problems in crop monitoring study is to extract planting areas and their spatial distribution automatically. This paper presents an automatic approach to planting area extraction for mixed planting crops (winter wheat, spring maize, summer maize, and soybean) using moderate spatial resolution and high temporal resolution MODIS data around Beijing, China. With a spatial resolution of 250 meters, band 1 and band 2 of MODIS data in red and near-infrared spectral regions can be used for dynamic monitoring of crops. NDVI values increase with the growth of the crops, and gradually decrease after reaching the maximum at a certain growth stage of the crops. Because different crops have different growth stages, the NDVI peak values and their occurrences can be different. After investigating the planting structure of the main crops and analyzing the NDVI values of different crops from mid-March to mid-November of 2002 in Beijing, following results are obtained: a. NDVI value of winter wheat is higher than other objects in the end of March, and its maximum appears in the beginning of May; b. maximum value of spring maize NDVI appears in the beginning of August; c. maximum value of summer maize NDVI appears in the middle of August; d. maximum value of bean NDVI appears also in the beginning of August, but it can be recognized from spring maize by the growth stage. Spring maize is a single-season crop; whenas bean is a double-season crop. So the temporal changes of NDVI profiles were obtained. In corporation with 1:100,000 scale landuse data of Beijing, the planting areas of winter wheat, spring maize, summer maize and bean were extracted from MODIS data, and the total accuracy is over 95%. In this research, multiple-phase MODIS data were received during main growing seasons and preprocessed; NDVI temporal profiles of main crop types were generated; models for planting areas extraction were developed based on the analysis of temporal NDVI profiles; and spatial distribution map of planting areas of winter wheat, maize and soybean in Beijing in 2002 were created. The study suggests that it is possible to extract planting areas automatically from MODIS data for large areas. Accuracy analysis showed that the results are highly reliable, especially in plain areas.
%K NDVI<br>农作物
%K 种植面积
%K MODIS数据
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=B47B31F6349F979B&jid=9DEEAF23637E6E9539AD99BE6ABAB2B3&aid=64C3CA2986FE4FF8&yid=D0E58B75BFD8E51C&vid=96C778EE049EE47D&iid=B31275AF3241DB2D&sid=BCA2697F357F2001&eid=BC12EA701C895178&journal_id=1007-7588&journal_name=资源科学&referenced_num=22&reference_num=9