A method for estimating cropping intensity based on mixed pixel unmixing using time series remote sensing images——A case study of Hubei Province
LIU Yiqing， TAO Jianbin， CHEN Xi， CHEN Lian， WEI Shiqi
Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences， Central China Normal University， Wuhan 430079， China
Abstract：Under the background of decreasing quantity and quality of croplands， and increasing demand for food， intensive utilization of croplands palys an important role in national food security. The existing indicators of intensive utilization of cropland mainly include cropping frequency and multiple cropping index. The crop patterns include single cropping and double cropping， which were norminal measurement and will lose some information. The multiple cropping index is calculated based on the statistical data， ignoring the spatial heterogeneity whinin the administrative region. In this paper， the concept of “cropping intensity” is introduced to express the intensive utilization of cropland delicately. By analyzing the difference of vegetation index in time series under different cropping conditions， the feature space was constructed， then the linear spectral unmixing was carried out in time dimension. Taking Hubei Province as the research area， the cropping intensity was estimated， and the correlation coefficient was 0.9 based on the validation in both county and pixel level. This study provides a new method for estimating cropping intensity under heterogeneous topography and crop patterns. It can be used for accurate mapping of cropping intensity at regional scale.
刘轶青,陶建斌,陈 曦,陈 濂,卫诗琪. 一种基于时序遥感影像混合像元分解的耕地种植强度估算方法——以湖北省为例[J]. 华中师范大学学报(自然科学版), 2020, 54(1): 96-103.
LIU Yiqing,TAO Jianbin,CHEN Xi,CHEN Lian,WEI Shiqi. A method for estimating cropping intensity based on mixed pixel unmixing using time series remote sensing images——A case study of Hubei Province. journal1, 2020, 54(1): 96-103.
2020, Vol. 54 
