Advances in Quantitative Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".
Deadline for manuscript submissions: closed (30 September 2022) | Viewed by 3355
Special Issue Editors
Interests: thermal infrared remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: thermal infrared remote sensing; scaling and validation of remote sensed products; retrieval of hydrothermal parameters from remote sensing data
Special Issues, Collections and Topics in MDPI journals
Interests: thermal infrared remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The large number of remote sensing observations enable us to quantitatively describe the dynamics of surface variables with high temporal and spatial resolution, which is very important for surface monitoring and modelling from regional to global scale. With the advances in our understanding of the physical radiative transfer processes, the traditional quantitative remote sensing methods are gradually changing from empirical statistical methods to theoretical methods. With the development of computer science, the retrieval methods may be developed from model-driven to data-driven or both. In recent years, artificial intelligence technology has also attracted extensive attention. In addition, more and more quantitative remote sensing products, containing various biophysical and biochemical parameters, are widely used in environmental and ecological research. In general, great progress has been made in the field of quantitative remote sensing in recent decades.
This Special Issue aims to study the state-of-the-art of methodology of land surface parameter retrieval and validation, as well as the further quantitative analysis or applications of multi-platform remote sensing observations, including but not limited to:
- Radiative transfer theory and model development.
- Theory and methodology for parameter retrieval.
- Progress in scale effect and scaling method.
- Comprehensive validation and evaluation of remote sensing products.
- Novel multi-source data fusion methodology.
- Spatial and temporal variation patterns of a specific parameter and its driving force.
Prof. Dr. Zhaoliang Li
Dr. Hua Wu
Prof. Dr. José A. Sobrino
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.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- land surface parameter retrieval
- radiative transfer model
- scale effect and scaling
- multi-source data fusion
- model evaluation
- product validation
- spatiotemporal analysis
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