Evaluations and comparisons of rule-based and machine-learning-based methods to retrieve satellite-based vegetation phenology using MODIS and USA National Phenology Network data
Vegetation phenology is a sensitive indicator that reflects the vegetation–atmosphere interactions and vegetation processes under global atmospheric changes. Fast-developing remote sensing technologies that monitor the land surface at high spatial and temporal resolutions have been widely used in ve...
Main Authors: | Qinchuan Xin, Jing Li, Ziming Li, Yaoming Li, Xuewen Zhou |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-12-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243420300209 |
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