[Objective] Based on the PIE SDK, Landsat-8 was used as the data source to realize the plug-in corn planting areaextraction tool, which provided technical support for the rapid and objective acquisition of county corn planting areainformation, and assisted agricultural remote sensing application and agricultural development. [Methods] The PIE SDKwas used for plug-in secondary development to realize the radiometric calibration, fusion and cropping functions ofremote sensing images. The vegetation distribution of the experimental area was obtained by normalized vegetationindex (NDVI), and the K-means classification method was used to realize Corn planting area extraction. [Results]Choosing Weishi County as experimental area，according to the Landsat-8/OLI data of September 4, 2014, the cornplanting area was 29,800 hectares, accounting for 23.5% of the total area of the experimental area, mainly distributed inthe central and eastern parts of the experimental area. (1) The corn planting area extracted by the development plug-inwas 29,800 hectares. In 2014, the corn planting area in Weishi County was about 27,800 hectares. The total area error ofthe two compared with the experimental area was 2.25%. The high quality provides an effective tool for the survey ofcorn planting area in Weishi County. (2) The distribution map of corn plantation in Weishi County was obtained byprocessing the classification results, which is basically consistent with the distribution of corn planting in the county overthe years. The method of extracting corn planting area in Weishi County by using NDVI and K-means method It isfeasible, and the experimental results show that the maximum number of iterations is set to 30. This method can providereference for the threshold setting of corn planting area information in the county. [Conclusions] Based on the PIE SDKfor secondary development, to achieve the extraction of corn planting area in the county. The results basically meet thestatistical data quality requirements, and also provide a reference for the plug-in development of similar crop extractiontools based on the PIE SDK, and can provide objective data to support fast and accurate information on the cultivationstatistics, subsidies and insurance business as corn.
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