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Spatial information of crop area statistics is of great significance for study of global change, population, resources, environment, ecology and food security. In this paper, based on MODIS NDVI time series data and global optimization algorithm SCE-UA (Shuffled Complex Evolution-University of Arizona), the research of spatialization of crop area statistical data was carried out in 13 counties which...
In order to obtain the spatial information of winter wheat harvest index (HI) at regional scale, according to the definition of crop harvest index, depending on MODIS-NDVI time-series images to calculate accumulated NDVI at stage of after anthesis and before anthesis, the authors structured the parameter HINDVI-SUM which meant the ratio of accumulated 10-day NDVI at stages of after anthesis to accumulated...
In order to acquire the spatial information of winter wheat harvest index (HI), depending on the crop growth profile of time-series MODIS-NDVI to calculate mean slope of NDVI curve and accumulated NDVI at stage of before anthesis and after anthesis, the authors made full use of remote sensing information and structured two parameters HINDVI-k and HINDVI-SUM according to the definition of HI of crop...
The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250m resolution, was used to...
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