title: [Winter wheat area estimation with MODIS-NDVI time series based on parcel].
abstract: Several attributes of MODIS (moderate resolution imaging spectrometer) data, especially the short temporal intervals and the global coverage, provide an extremely efficient way to map cropland and monitor its seasonal change. However, the reliability of their measurement results is challenged because of the limited spatial resolution. The parcel data has clear geo-location and obvious boundary information of cropland. Also, the spectral differences and the complexity of mixed pixels are weak in parcels. All of these make that area estimation based on parcels presents more advantage than on pixels. In the present study, winter wheat area estimation based on MODIS-NDVI time series has been performed with the support of cultivated land parcel in Tongzhou, Beijing. In order to extract the regional winter wheat acreage, multiple regression methods were used to simulate the stable regression relationship between MODIS-NDVI time series data and TM samples in parcels. Through this way, the consistency of the extraction results from MODIS and TM can stably reach up to 96% when the amount of samples accounts for 15% of the whole area. The results shows that the use of parcel data can effectively improve the error in recognition results in MODIS-NDVI based multi-series data caused by the low spatial resolution. Therefore, with combination of moderate and low resolution data, the winter wheat area estimation became available in large-scale region which lacks completed medium resolution images or has images covered with clouds. Meanwhile, it carried out the preliminary experiments for other crop area estimation.
authors.affiliation: State Key Laboratory of Earth Processes and Resource Ecology, College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China. lile@mail.bnu.edu.cn
authors.forename: Le
authors.initials: L
authors.lastname: Li
authors.forename: Jin-shui
authors.initials: JS
authors.lastname: Zhang
authors.forename: Wen-quan
authors.initials: WQ
authors.lastname: Zhu
authors.forename: Tan-gao
authors.initials: TG
authors.lastname: Hu
authors.forename: Dong
authors.initials: D
authors.lastname: Hou
mesh_terms: D040362:Geographic Information Systems; D012044:Regression Analysis; D058998:Remote Sensing Technology; D017215:Satellite Communications; D014908:Triticum / Q000254:growth & development*