Special Issue "Remote Sensing in Food Production and Food Security"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 September 2014)
Prof. Dr. Bingfang WU
Division Head of Digital Agriculture, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS). Olympic Village Science Park, West Beichen Road, Chaoyang Beijing 100101, China
Phone: +86 10 64855689
Fax: +86 10 6484 8721
Interests: agriculture and water remote sensing
Food security is one of the most essential factors for our physical wellbeing; it is a fundamental prerequisite for a healthy and happy life. Food security is a broad concept that goes beyond crop production because achieving it requires accounting for spatial and time variability, as well as physical and economic access.
Over the last two decades, traditional ground-based systems have benefited significantly from the addition of satellite remote sensing based inputs. Many national and international systems have developed this technology for monitoring crop conditions and assessing crop production; such monitoring occurs at different scales, which range from the sub-national, to national and global levels. As technology advances, a growing range of satellite remote sensing data has become both more available and affordable for operational use. As a result, indicators and methods have proliferated, some of which are innovative and powerful; development of these methods and indicators benefits from new analytical techniques, growing data processing power, and the availability of long-term time series data, which further improve the confidence in new products. .
With this Special Issue, we inventory state-of-the-art research that addresses operational methods for monitoring crop conditions and food production. The focus is on multi-source satellite-based data indicator(s), at sub-national, national, and global scales; crop biophysical parameter-based crop yield models, and the integration of crop models with satellite-based inputs; and indices-based crop area estimation (which specifically emphasizes production monitoring and food security analyses via operational systems). Paradoxically, while the sophistication of research products keeps increasing, operational work continues to suffer from the lack of reliable data on such basic variables as crop phenology, crop distribution, and biomass. Therefore, we also welcome contributions to the establishment of satellite-based (or ground-based, or mixed) reference databases.
In line with the broad definition of food security, we also invite scientists working on spatial economics, crop production risk assessments, and related subjects to consider submitting their work involving satellite inputs.
Overviews of national and international operational systems are welcome, as well as papers describing new technology and measurement concepts/sensors.
Prof. Bingfang Wu
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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a 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 monthly journal published by MDPI.
- national, regional, and international crop monitoring systems, food security and early warning systems
- international and regional initiatives, and outlooks for crop monitoring and experimentation
- cropland area estimation and crop identification
- cropping intensity, patterns, and phenology
- yield and production forecasts
- biomass and harvest index
- environmental conditions of crop growth
- soil moisture and agricultural water management
- early crop stage indices and early warning
- agricultural food risk assessments
- integration of crop models and satellite-based techniques at data and product levels
- integration of gis techniques, geostatistical methods, economic, and remote sensing indicators for food security