Automated In-Season Crop-Type Data Layer Mapping Without Ground Truth for the Conterminous United States Based on Multisource Satellite Imagery
Author:
Affiliation:
1. Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA
2. U.S. Department of Agriculture, National Agricultural Statistics Service, Washington, DC, USA
Funder
United States Department of Agriculture National Institute of Food and Agriculture
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
https://ieeexplore.ieee.org/ielam/36/10354519/10419370-aam.pdf
Reference52 articles.
1. An Econometric Analysis of U.S. Crop Yield and Cropland Acreage: Implications for the Impact of Climate Change
2. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
3. CropScape: A Web service based application for exploring and disseminating US conterminous geospatial cropland data products for decision support
4. Operational Agricultural Flood Monitoring with Sentinel-1 Synthetic Aperture Radar
5. Early Season Winter Wheat Identification Using Sentinel -1 Synthetic Aperture Radar (Sar) and Optical Data
Cited by 6 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. Addition of fake imagery generated by generative adversarial networks for improving crop classification;Advances in Space Research;2024-10
2. Phenologically Corrected Crop Condition Mapping and Assessment with Vegetation Index Time Series;2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2024-07-15
3. Generation of NAIP-like earth surface imagery using Generative Adversarial Networks;2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2024-07-15
4. In-season crop-type mapping in Kenya using Sentinel-2 imagery;2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2024-07-15
5. A Unified Generative Adversarial Network With Convolution and Transformer for Remote Sensing Image Fusion;IEEE Transactions on Geoscience and Remote Sensing;2024
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3