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Crop growth stages are important factors for segmenting the crop growing seasons and analyzing their growth conditions against normal conditions by periods. Time series of high temporal resolution, up to daily, satellite remotely sensed data are used in establishing crop growth estimation model and estimate the growth stages. The daily surface reflectance data from Moderate Resolution Imaging Spectroradiometer...
NASS Cropland Data Layer (CDL) data have been widely used in many business, research and academic areas. This valuable geospatial data has been accessible and disseminated through CropScape - a web-service based online geospatial application. Web geoprocessing services had been required and developed in CropScape to visualize, navigate, analyze, and download the CDL data in an open standard. Especially,...
Continuous cropping is one of main planting methods in the cropping systems. Discovering the continuous planting patterns and their relationship with geographic factors is a very meaningful research subject to support agricultural decision making. The Cropland Data Layer (CDL) data is one of useful land cover data resources to study the crop planting patterns of any area of interest in the Contiguous...
Vegetation condition assessment is very useful and helpful for researchers and decision makers to evaluate crop loss and value, and identify and manage risks in the flood hazard areas. Crop responses to flooding vary with crop types, crop growing stages, soil characteristics, weather condition, flood duration and depth, etc. How to measure and understand crop response is a challenging and important...
The Cropland Data Layer (CDL) contains crop and other specific land cover classifications obtained using remote sensing for the conterminous United States. This raster-formatted and geo-referenced product has been widely used in such applications as disaster assessments, land cover and land use research, agricultural sustainability studies, and agricultural production decision-making. The traditional...
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