Early-Season Industry-Wide Rice Maps Using Sentinel-2 Time Series
Author:
Affiliation:
1. Applied Agricultural Remote Sensing Centre, University of New England,Armidale,NSW,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883755.pdf?arnumber=9883755
Reference10 articles.
1. Rice growth, yield and water productivity responses to irrigation scheduling prior to the delayed application of continuous flooding in south-east Australia
2. Current and potential uses of optical remote sensing in rice-based irrigation systems: a review
3. Accuracy Assessment in Convolutional Neural Network-Based Deep Learning Remote Sensing Studies—Part 1: Literature Review;maxwell;Remote Sensing,2021
4. Predicting rice crop maturity using remote sensing;dunn;NSW Department of Primary Industries Southern NSW Research Results,2021
5. Rice nitrogen status detection using commercial-scale imagery
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1. Early Season Mapping of Rice Using of Time Series Sentinel-1 SAR Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Integrating Climate and Satellite Data for Multi-Temporal Pre-Harvest Prediction of Head Rice Yield in Australia;Remote Sensing;2024-05-20
3. Improving the Estimation of Rice Crop Damage from Flooding Events Using Open-Source Satellite Data and UAV Image Data;AgriEngineering;2024-03-04
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