Remote Sensing for Surface Biophysical Parameter Retrieval
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Environmental Remote Sensing".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 28301
Special Issue Editors
Interests: 3D morphology remote sensing; urban built environment; human-environment spatiotemporal interactions; Sustainable Development Goals (SDGs)
Special Issues, Collections and Topics in MDPI journals
Interests: biophysical parameter retrieval; agricultural remote sensing; product validation; crop type mapping; vegetation dynamics
2. CREAF, 08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
3. CSIC, Global Ecology Unit, CREAF-CSIC-UAB, 08193 Bellaterra (Cerdanyola del Vallès), Catalonia, Spain
Interests: vegetation remote sensing; radiative transfer; biophysical parameter retrieval; land surface phenology; photochemical reflectance index
Special Issues, Collections and Topics in MDPI journals
Interests: three-dimensional radiative transfer modelling; vegetation; hyperspectral; LiDAR; fluorescence; radiative budget
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Surface biophysical parameters across leave (e.g., leaf chlorophyll nitrogen and water contents, leaf mass per area, and leaf inclination angle), canopy (e.g., canopy leaf area index, height and biomass, and tree crown area, and diameter at breast height), and landscape (e.g., surface albedo, temperature, and radiative budget) scales are crucial for modeling terrestrial processes, monitoring agricultural ecosystems, and quantifying many human–environment interactions. Remote sensing has become the mainstream technology for retrieving and mapping large-scale and long-term biophysical surface parameters. Their successful retrievals using remote sensing rely on accurate physical models, robust retrieval approaches, high-quality data observations, and reliable validation strategies. Therefore, advances are needed to better monitor the biophysical surface parameters, and to also improve our understanding and modeling of terrestrial ecosystems processes and human–nature relationships.
This Special Issue aims to report on the state-of-the-art in the monitoring of biophysical surface parameters with remote sensing. Related articles are welcome, including, but not limited to, the following topics:
- Physical models (e.g., 1-D and 3-D) across multi-scales (e.g., leaf, canopy, individual tree-crown, ecosystem, landscape, and rugged terrain) for modeling remote sensing signals integrated with surface biophysical parameters.
- Experimental sources of inaccuracy when retrieving surface biophysical parameters from remote sensing observations: atmosphere conditions, geometric configuration of observation, directional and neighborhood effects, 3-D architecture of the studied landscape, etc.
- Retrieval approaches (e.g., empirically based, physically based, and machine learning and deep learning approaches) across multi-scale observation platforms (e.g., smartphone, wireless sensor network (WSN), tower-based cameras, unmanned aerial vehicle (UAV), airborne, and satellite) for retrieving surface biophysical parameters.
- New proposed or improved operational algorithms for recent satellite missions (e.g., Himawari-8, DSCOVR EPIC, Landsat-8, Sentinel-2, Worldview, PlanetScope, and PRISMA) to large-scale map surface biophysical parameters.
- Rapid estimation approaches using the cloud-computing platforms (e.g., Google Earth Engine (GEE), Amazon Web Services (AWS), and Microsoft Azure).
- Multi-source data fusion techniques (e.g., optical and LIDAR) for improving satellite data quality by minimizing artifact effects (e.g., clouds, topography, reflectance anisotropy, and satellite orbit drift effects), filling data gaps, and reconstructing time-series observations.
- Calibration and validation strategies for assessing the accuracy and uncertainty of remote sensing biophysical parameter products.
- Long-time spatial and temporal analysis of surface biophysical products, with the underlying drivers and implications for terrestrial ecosystems process and human–nature interactions.
Original research and review articles are welcome. Review articles are suggested to cover one or more of the above topics.
Dr. Shengbiao Wu
Dr. Baodong Xu
Prof. Dr. Gaofei Yin
Prof. Dr. Jean-Philippe Gastellu-Etchegorry
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
- radiative transfer modeling
- biophysical parameter estimation
- high-resolution satellite
- cloud-computing technique
- machine learning
- multi-source data fusion/integration
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.