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In most cases, statistical models for monitoring the disease severity of yellow rust are based on hyperspectral information. The high cost and limited cover of airborne hyperspectral data make it impossible to apply it to large scale monitoring. Furthermore, the established models of disease detection cannot be used for most satellite images either because(More)
Leaf chlorophyll content is not only an important biochemical parameter for determinating the capacity of rice photosynthesis, but also a good indicator of crop stress, nutritional state. Due to the reliable, operational and non-destructive advantages, hyperspectral remote sensing plays a significant role for assessing and monitoring chlorophyll content. In(More)
The study aimed to develop a universal method to monitor soil APC by hyperspectral data. The correlations between soil APC and the hyperspectrum reflectivity and its mathematical transformations were analyzed. The feature bands and its transformations were screened to develop the optimizing model of monitoring soil APC based on the method of multiple linear(More)
Mixed Field Decomposition of Remote Sensing Xiaohe Gu, Jingcheng Zhang, Yaozhong Pan, Tangao Hu, Le Li, Chao Li National Engineering Research Center for Information Technology in Agriculture, Beijing 100875; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing 100875, China Abstract Accurate and timely updated information of crop(More)
It is significant to monitor crop waterlogging range timely and correctly for later field management, agricultural insurance and yield prediction. The change regularity of paddy injured growth was analyzed and the sensitive parameters of growth stress were screened. The model of identifying the paddy waterlogging range based on change vector analysis (CVA)(More)