Monitoring crop growth using a canopy structure dynamic model and time series of synthetic aperture radar (SAR) data
Author:
Affiliation:
1. Agriculture and Agri-Food Canada, Government of Canada, Science and Technology Branch, Ottawa, Canada
Funder
Quantifying Crop Productivity from Space
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1938739
Reference61 articles.
1. Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island
2. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI
3. On the use of NDVI profiles as a tool for agricultural statistics: The case study of wheat yield estimate and forecast in Emilia Romagna
4. Preparing Landsat Image Time Series (LITS) for Monitoring Changes in Vegetation Phenology in Queensland, Australia
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1. Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework;Computers and Electronics in Agriculture;2023-12
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3. Recent Advancement of Synthetic Aperture Radar (SAR) Systems and Their Applications to Crop Growth Monitoring;Recent Remote Sensing Sensor Applications - Satellites and Unmanned Aerial Vehicles (UAVs);2022-10-26
4. Integrating Sentinel-1 SAR and Sentinel-2 optical imagery with a crop structure dynamics model to track crop condition;International Journal of Remote Sensing;2022-09-02
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