Analyzing the Sensitivity of Crops Classification Accuracy Based on MODIS EVI Time Series and History Ground Reference Data
Author:
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
http://www.tandfonline.com/doi/pdf/10.1080/07038992.2015.1112727
Reference35 articles.
1. Automatic corn-soybean classification using landsat MSS data. I. Near-harvest crop proportion estimation
2. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
3. Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
4. ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data
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3. The effect of EVI time series density on crop classification accuracy;Optik;2018-03
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