Rehman S. Eon , Craig De Groot , Jeffrey A. Pedelty , Aaron Gerace , Matthew Montanaro , Richard K. Covington , Amy S. DeLisa , Wen-Ting Hsieh , Joy M. Henegar-leon , Douglas J. Daniels , Christopher Engebretson , Christopher J. Crawford , Thomas R.H. Holmes , Philip Dabney , Bruce D. Cook
{"title":"NASA/USGS Landsat下一次任务遥感环境的近无损图像压缩策略的勘误表,2025年11月1日,114929","authors":"Rehman S. Eon , Craig De Groot , Jeffrey A. Pedelty , Aaron Gerace , Matthew Montanaro , Richard K. Covington , Amy S. DeLisa , Wen-Ting Hsieh , Joy M. Henegar-leon , Douglas J. Daniels , Christopher Engebretson , Christopher J. Crawford , Thomas R.H. Holmes , Philip Dabney , Bruce D. Cook","doi":"10.1016/j.rse.2025.115000","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":417,"journal":{"name":"Remote Sensing of Environment","volume":"331 ","pages":"Article 115000"},"PeriodicalIF":11.4000,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Corrigendum to Toward a near-lossless image compression strategy for the NASA/USGS Landsat Next mission Remote Sensing of Environment Volume 329, 1 November 2025, 114929\",\"authors\":\"Rehman S. Eon , Craig De Groot , Jeffrey A. Pedelty , Aaron Gerace , Matthew Montanaro , Richard K. Covington , Amy S. DeLisa , Wen-Ting Hsieh , Joy M. Henegar-leon , Douglas J. Daniels , Christopher Engebretson , Christopher J. Crawford , Thomas R.H. Holmes , Philip Dabney , Bruce D. Cook\",\"doi\":\"10.1016/j.rse.2025.115000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":417,\"journal\":{\"name\":\"Remote Sensing of Environment\",\"volume\":\"331 \",\"pages\":\"Article 115000\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Remote Sensing of Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0034425725004043\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Remote Sensing of Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0034425725004043","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Corrigendum to Toward a near-lossless image compression strategy for the NASA/USGS Landsat Next mission Remote Sensing of Environment Volume 329, 1 November 2025, 114929
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.