1. School of Geographical Sciences, Nanjing University of Information Science and Technology, Nanjing 210044,China 2. State Key Laboratory of Sustainable Soil and Agriculture, Nanjing Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
In order to accurately extract a large range of plastic greenhouse distribution information, the authors took Changzhou City, which is located in the Taihu Lake basin, as the study area, used Landsat8 imagery, employed plastic greenhouses spectral analysis and spectral separability analysis, selected seven multi-spectral data and one thermal infrared datum of Landsat8 image and three remote sensing indexes(NDVI, NDBaI and MNDWI)and, based on Logistic regression analysis, constructed a new plastic greenhouse index (NewPGI). Accuracy verification results show that, in the sample area, the high-resolution image of the plastic greenhouse reference map shows that NewPGI’s overall classification accuracy is 94.9%, and Kappa coefficient is 0.74. Throughout Changzhou, the verification sample points were selected based on the Google Earth image. The overall accuracy of NewPGI is 91.28%, and the Kappa coefficient is 0.78. Compared with the existing plastic greenhouse index, NewPGI can better extract plastic greenhouses under complex surface coverage.
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2019, Vol. 31 
), 李博伦1, 遆超普2, 颜晓元2, 周旻悦1, 王绍武1
