7 April 2021
Remote Sensing | Welcome to Read Selected Papers from “Editor’s Choice” II
You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.
Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
Since it was established, “Editor’s Choice” has always been welcomed by researchers. Editors-in-Chief have selected about 300 papers to display here. All of them have gained significant influence.
In April 2021, the Editorial Office selected another 15 papers among the most downloaded publications. The following is the paper list.
We would like to take this opportunity to thank all the research groups of the exceptional papers for their contributions to Remote Sensing. We would appreciate it if you would circulate this document among your colleagues or through your network.
If you want to learn more about the contributions published in “Editor’s Choice”, please read here.