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Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression
Monitoring cropland phenology from optical satellite data remains a challenging task due to the influence of clouds and atmospheric artifacts. Therefore, measures need to be taken to overcome these challenges and gain better knowledge of crop dynamics. The arrival of cloud computing platforms such a...
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| Published in: | Remote Sens (Basel) |
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| Main Authors: | , , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613380/ https://ncbi.nlm.nih.gov/pubmed/36081813 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/rs14010146 |
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