Crop mapping using the historical crop data layer and deep neural networks: a case study in jilin province, china

HIGHLIGHTS

• who: Deyang Jiang et al. from the Neural Networks: A Case Study in Jilin Province, China College of Geo-Exploration Science and Technology, Jilin University, Changchun, China have published the research: Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
• what: To overcome this challenge the authors propose an ensemble learning approach from the existing historical crop data layer (CDL) to automatically create multitudes of samples according to the rules of spatiotemporal sample . . .
  

   

  

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