Early Season Winter Wheat Identification Using Sentinel -1 Synthetic Aperture Radar (Sar) and Optical Data-Reference-Cited by-同舟云学术

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Early Season Winter Wheat Identification Using Sentinel -1 Synthetic Aperture Radar (Sar) and Optical Data

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Boryan Claire,Yang Zhengwei,Willis Patrick,Sandborn Avery

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8891871/8897702/08898511.pdf?arnumber=8898511

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. In-season crop-type mapping in Kenya using Sentinel-2 imagery;2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2024-07-15

2. 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

3. Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery;IEEE Transactions on Geoscience and Remote Sensing;2024

4. The 10-m cotton maps in Xinjiang, China during 2018–2021;Scientific Data;2023-10-10

5. Prediction of Crop Planting Map Using One-dimensional Convolutional Neural Network and Decision Tree Algorithm;2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2023-07-25

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