Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield

Spatially explicit crop yield datasets with continuous long-term series are essential for understanding the spatiotemporal variation of crop yield and the impact of climate change on it. There are several spatial disaggregation methods to generate gridded yield maps, but these either use an oversimp...

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Bibliographic Details
Main Authors: Shuo Chen, Weihang Liu, Puyu Feng, Tao Ye, Yuchi Ma, Zhou Zhang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/10/2340