Special Issue "Integrating Remote Sensing in Land Surface Monitoring and Agricultural Applications"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: 31 December 2023 | Viewed by 4492
Interests: soil moisture; land data assimilation; hydrometeorology; remote sensing
Interests: remote sensing/GIS; soil and water quality; evapotranspiration; agricultural sustainability; land use and land cover change analysis; soil science; agriculture; forestry
Special Issues, Collections and Topics in MDPI journals
Remote sensing (RS) and Earth Observation (EO) information is central for environmental (e.g., soil and vegetation) monitoring at depth and in real time. The complexity of spatial data and modelling methods in land surface science imposes the need for combined integrated approaches of robust methods, leading to more accurate and reliable outcomes toward sustainable soil management and for hydrometeorological predictions.
The aim of this Special Issue is to publish original contributions or review articles that evaluate the integration of remote sensing, GIS, and data assimilation techniques in land surface monitoring and agricultural practice. The complexity of spatial data and modelling methods in soil science imposes the need for combined integrated approaches of robust methods, leading to more accurate and reliable outcomes toward sustainable soil management and for hydrometeorological predictions. More specifically, we are interested in studies that investigate the impact of widely applied geographical approaches and/or data assimilation methods in everyday soil research and activities. This Special Issue addresses many aspects, including the soil mapping and spatial modelling of land surface characteristics, precision agriculture, geostatistics, machine learning, and the development of software tools for data collection and processing.
Contributions can include, but are not limited to, the following topics:
- Mapping and spatial modelling of soil properties using GIS and remote sensing;
- New GIS and remote sensing approaches in agricultural applications that make use of trending techniques such as machine and deep learning algorithms;
- Advances in remote sensing techniques to provide (time series of) spatially distributed soil moisture data;
- Applications of remotely sensed soil moisture data, including data assimilation and disaster assessment;
- Approaches for the harmonised processing of data coming from different sensors to construct longer, more coherent soil moisture records;
- Studies using data assimilation, e.g., into hydrological models, plant growth models, or discussing concepts;
- Retrieval algorithms, in particular using multi-wavelength, active, and passive data, both based on physical models and data-driven methods;
- Contributions combining multi-sensor remote sensing observations, in situ measurements, and geographical data from multiple thematic scales to quantify spatial and temporal change patterns are also among our priorities.
Dr. Long Zhao
Prof. Dr. Maruthi Sridhar Balaji Bhaskar
Dr. Yang Lu
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.
- soil mapping
- soil moisture
- multi-spectral imagery
- data fusion and assimilations
- crop modelling
- yield mapping