Results 21 to 30 of about 3,893,266 (383)
Remote Sensing, 2023 This study aimed to provide a systematic overview of the progress made in utilizing remote sensing for assessing the impacts of land use and land cover (LULC) changes on water resources (quality and quantity).
M. Mashala +4 more
semanticscholar +1 more source
Editorial: Remote Sensing for Aquaculture [PDF]
Frontiers in Marine Science, 2021 International ...
Gernez, Pierre +3 more
openaire +8 more sources
Announcement: Remote Sensing 2017 Best Reviewer Award Winners
Remote Sensing, 2018 Peer review is an essential part of the publication process, ensuring that Remote Sensing maintains the high standard of its published papers[...]
Remote Sensing Office
doaj +1 more source
Remote Sensing Image Scene Classification: Benchmark and State of the Art [PDF]
Proceedings of the IEEE, 2017 Remote sensing image scene classification plays an important role in a wide range of applications and hence has been receiving remarkable attention.
Gong Cheng, Junwei Han, Xiaoqiang Lu
semanticscholar +1 more source
A Review of Practical AI for Remote Sensing in Earth Sciences
Remote Sensing, 2023 Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for revolutionizing data analysis and applications in many domains of Earth sciences.
Bhargavi Janga +3 more
semanticscholar +1 more source
Remote Sensing for Biodiversity [PDF]
, 2016 Remote sensing (RS)---taking images or other measurements of Earth from above---provides a unique perspective on what is happening on the Earth and thus plays a special role in biodiversity and conservation applications. The periodic repeat coverage of satellite-based RS is particularly useful for monitoring change and so is essential for understanding
Matthew Colloff +17 more
openaire +6 more sources
Acknowledgement to Reviewers of Remote Sensing in 2013
Remote Sensing, 2014 The publisher and editors of the Remote Sensing would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2013 for Remote Sensing.
Remote Sensing Editorial Office
doaj +1 more source
Self-Supervised Learning in Remote Sensing: A review [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2022 In deep learning research, self-supervised learning (SSL) has received great attention, triggering interest within both the computer vision and remote sensing communities.
Yi Wang +4 more
semanticscholar +1 more source
Acknowledgement to Reviewers of Remote Sensing in 2017
Remote Sensing, 2018 Peer review is an essential part in the publication process, ensuring that Remote Sensing maintains high quality standards for its published papers.[...]
Remote Sensing Editorial Office
doaj +1 more source
Acknowledgement to Reviewers of Remote Sensing in 2019
Remote Sensing, 2020 The editorial team greatly appreciates the reviewers who have dedicated their considerable time and expertise to the journal’s rigorous editorial process over the past 12 months, regardless of whether the papers are finally published or not.[...]
Remote Sensing Editorial Office
doaj +1 more source