Remote Sensing and Beyond: Unraveling the Complexities of Earth’s Water and Carbon Cycles
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (1 December 2023) | Viewed by 343
Special Issue Editors
Interests: remote sensing; big data; drought; soil moisture; partitioning of evapotranspiration; precipitation; improvement of hydrological components
Interests: hydrology; climate change; sustainability; machine learning; artificial intelligence; big data; sensor networks; IoT (Internet of Things); early warning systems; hydrological modeling, disaster and risk management
Special Issues, Collections and Topics in MDPI journals
Interests: drought; evapotranspiration; disaster; environmental impact assessment; soil and water conservation; remote sensing and GIS; agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: hydrology; hydroclimatology; hydrologic extremes; hydrologic modeling; climate change impact assessment; remote sensing of water resources; machine learning
Special Issue Information
Dear Colleagues,
This Special Issue entitled “Remote Sensing and Beyond: Unravelling the Complexities of Earth’s Water and Carbon Cycles” focuses on the use of remote sensing technology to study the complex interactions between the Earth's water and carbon cycles. Remote sensing has proven to be an invaluable tool in understanding these processes, allowing researchers to collect data from vast areas and monitor changes over space and time. However, the water and carbon cycles are highly complex, and many challenges remain in interpreting remote sensing data or big data as well as in integrating it with other sources of information. The papers in this Special Issue cover a range of topics related to remote sensing and big data of the water and carbon cycles and that include:
- Analysis and assessment of natural disasters (e.g., drought, flood, landslide, wildfire, etc.) for mapping and monitoring changes in the water and carbon cycles.
- Approaches for integrating datasets from several remote sensing-based platforms (e.g., satellites, drones, reanalysis datasets, and IoT, etc.) which have different spatiotemporal resolutions in order to improve our understanding of hydrology and carbon dynamics.
- Advanced research of innovative remote sensing, IoT, and big data technologies from specific ecosystems, such as forests, wetlands, and agricultural landscapes, and how they are affected by changes in water and carbon dynamics.
- Investigations into the impacts of climate change on the water and carbon cycles, and how remote sensing can be used to track these changes over space and time.
Overall, the topic in this special issue highlights the importance of remote sensing and big data in advancing our understanding of the complex interactions between Earth’s water and carbon cycles. They also underscore the need for continued innovation and collaboration in this field, as we work towards a more comprehensive and integrated understanding of these vital processes.
Dr. Jongjin Baik
Dr. Changhyun Jun
Dr. Seonyoung Park
Dr. Kyuhyun Byun
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- remote sensing dataset including drone, satellite, IoT, reanalysis dataset, etc
- water and carbon cycles
- ecosystems
- climate change
- natural resource management and natural risk monitoring (e.g., drought, landslide, flood, wildfire, etc)
- hydrology and agriculture
- earth observation
- data integration including machine learning, novel statistical method, artificial intelligence, etc
- improvement of spatial and temporal resolution with enhanced algorithm methods
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