Chunyang Ying

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

3. Result Analysis 3.1. The Optimal Feature Set By adding NDYI and VH time series data, the accuracy of extraction results can be improved (Figure 6a–c), and the SVM algorithm accuracy improved more, Kappa and OA increasing by 0.0228 and 1.67%, respectively, and RF Kappa and OA increasing by 0.0039 and 0.28%, respectively. It can effectively avoid the misdivision and leakage of wheat–rice rotation and double-cropping rice rotation.