GIS and Remote Sensing Application in Food Production and Food Security
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 13016
Special Issue Editors
Interests: sustainable agriculture; soil ecology; soil conservation; plant protection
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing, natural disasters, hyperspectral remote sensing, radiative transfer models, UAV, spatial analysis, vegetation, SAR, image processing
Interests: remote sensing; food security; crop mapping; land cover changes
Special Issue Information
Dear Colleagues,
Agriculture and its mission to feed an increasing human population will be challenged by facing a reduced availability of natural resources, such as soil and water. In this scenario, and with the increasing need of multifunctional exploitation of land, the efficiency of agriculture, and more generally of land management practices should be enhanced.
Geospatial sciences play a pivotal role in several innovative activities and processes related to agriculture and food production. It is at the basis of precision agriculture, but generally speaking is extremely important in order to achieve an increased sustainability and efficiency of agricultural systems and food production.
The contribution of Geographic Information Systems and georeferenced data analysis can range from broad strategic modelling at global scale to the application of precision farming at field scale.
Furthermore, the availability of a huge variety of remote sensing products, from the last generation satellites to drones, from aerial photo to hyperspectral sensors, offers the opportunity to apply these techniques to agriculture and food production. There are promising applications of remote sensing in plant pathology, crop physiology, and more generally in soil science and agronomy.
In plant pathology for instance the application of airborne imaging spectroscopy and thermography can reveal X. fastidiosa infection in olive trees before symptoms are visible.
With this Special Issue, we would inventory the state-of-the-art research that addresses operational methods for identification and monitoring of soil and crop, as well as processes related to food production. The focus is on drones, aerial and satellite-based data indicators, at field, farm, sub-national, national, and global scales. Results of researches using crop biophysical parameter-based crop yield models as well as the integration of crop models with satellite-based inputs are welcome.
Dr. Ciro Gardi
Dr. Angela De Santis
Ms. Laure Boudinaud
Guest Editors
Keywords
- remote sensing GIS
- land cover change
- soil degradation
- land take
- food security
- plant health