A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning
Author:
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Geology,Soil Science
Reference66 articles.
1. A regularized neural net approach for retrieval of atmospheric and surface temperatures with the IASI instrument;Aires;J. Appl. Meteorol.,2002
2. A neural-network technique for the retrieval of atmospheric temperature and moisture profiles from high spectral resolution sounding data;Blackwell;IEEE Trans. Geosci. Remote Sens.,2005
3. Deep learning-based classification of hyperspectral data;Chen;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2014
4. Comparison between different sources of atmospheric profiles for land surface temperature retrieval from single channel thermal infrared data;Coll;Remote Sens. Environ.,2012
5. Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature;Cristóbal;J. Geophys. Res.,2009
Cited by 44 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. Airborne thermal infrared hyperspectral image temperature and emissivity retrieval based on inter-channel correlated automatic atmospheric compensation and TES;Remote Sensing of Environment;2024-12
2. Ensembles of multiple models for soil moisture retrieval from remote sensing data over agricultural areas: A deep learning-based framework;Remote Sensing Applications: Society and Environment;2024-08
3. Hourly land surface temperature retrieval over the Tibetan Plateau using Geo-LightGBM framework: Fusion of Himawari-8 satellite, ERA5 and site observations;Advances in Climate Change Research;2024-08
4. On the deep learning approach for improving the representation of urban climate: The Paris urban heat island and temperature extremes;Urban Climate;2024-07
5. Research on Landsat 8 land surface temperature retrieval and spatial–temporal migration capabilities based on random forest model;Advances in Space Research;2024-07
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