Using MODIS Data to Predict Regional Corn Yields
نویسندگان
چکیده
منابع مشابه
Using MODIS Data to Predict Regional Corn Yields
A simple approach was developed to predict corn yields using the MoDerate Resolution Imaging Spectroradiometer (MODIS) data product from two geographically separate major corn crop production regions: Illinois, USA and Heilongjiang, China. The MOD09A1 data, which are eight-day interval surface reflectance data, were obtained from day of the year (DOY) 89 to 337 to calculate the leaf area index ...
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Aims Sin Nombre virus (SNV), a strain of hantavirus, causes hantavirus pulmonary syndrome (HPS) in humans, a deadly disease with high mortality rate (> 50%). The primary virus host is the deer mouse, and greater abundance of deer mice has been shown to increase the human risk of HPS. Our aim is to identify and compare vegetation indices and associated time lags for predicting hantavirus risk us...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2016
ISSN: 2072-4292
DOI: 10.3390/rs9010016