Crop Area Estimation Based on Modis-vi Time Series by Pan-cpi Model
نویسندگان
چکیده
Crop area estimation is one of the most important applications of quantitative remote sensing in agriculture. The periodic acquisition of remote sensing data at high quality with short temporal intervals is an extremely efficient way to monitor the seasonal development of crop, and it’s also a prerequisite for large-scale crop area quantitative measurement. The majority of the conventional estimation of crop area were based on medium/high-resolution remote sensing data (10-30m scale) or coarse-resolution remote sensing data (250-1000m scale). Many researches have indicated that the approach combining coarse resolution and medium/high resolution data will be the main trend in future for crop area estimation [1-5] According to the different application of coarse resolution remote sensing data, crop area estimation by combing coarse resolution and medium/high resolution data can be categorized into two classes. One way is selecting single or multi-temporal coarse resolution data during the crop growth period to do spectral unmixing with pure end-members provided by medium/high resolution remote sensing data or ground data .
منابع مشابه
Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index
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