Integrating Sentinel-1 SAR and Sentinel-2 optical imagery with a crop structure dynamics model to track crop condition
Author:
Affiliation:
1. Agriculture and Agri-Food Canada, Science and Technology Branch, Ottawa, Ontario, Canada
2. Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada
Funder
Agriculture and Agri-Food Canada, A-Base fund
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2142077
Reference66 articles.
1. Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine
2. The first Above-ground Biomass map of the Philippines produced using Remote sensing and Machine learning
3. Regional Crop Characterization Using Multi-Temporal Optical and Synthetic Aperture Radar Earth Observations Data
4. Estimating Canopy Characteristics from Remote Sensing Observations: Review of Methods and Associated Problems
5. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI
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