An improved zoning crop mapping approach in complex agricultural landscapes considering crop heterogeneity
Author:
Affiliation:
1. Shandong Normal University,College of Geography and Environment,Jinan,China
Funder
National Natural Science Foundation of China
Ministry of Education
Fuzhou University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10233256/10233125/10233662.pdf?arnumber=10233662
Reference11 articles.
1. Parcel-Level Mapping of Horticultural Crop Orchards in Complex Mountain Areas Using VHR and Time-Series Images
2. A heterogeneous double ensemble algorithm for soybean planting area extraction in Google Earth Engine
3. Method for Mapping Rice Fields in Complex Landscape Areas Based on Pre-Trained Convolutional Neural Network from HJ-1 A/B Data
4. Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas
5. Parameter tuning in the support vector machine and random forest and their performances in cross- and same-year crop classification using TerraSAR-X
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