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Special Issue "Remote Sensing of Smallholder Subsistence Agriculture Using Satellites and UAVs"
Deadline for manuscript submissions: closed (15 July 2017).
Interests: use of remote sensing and ICT tools; natural resources assessments and monitoring; food security; agricultural monitoring and yield forecasting; ecosystem services; forest conservation; UAV applications in subsistence agriculture and forestry
Interests: Global long-term of vegetation dynamics; land cover change; UAV based remote sensing; uncertainty; data fusion.
Interests: global long-term land cover dynamics; uncertainty and accuracy assessment; remote sensing data fusion; high-performance computing; geo-spatial model sharing and integration
In many developing countries, smallholder farming is the main livelihood support for the majority of the population. Although agriculture is critical for the population’s wellbeing and survival, data on the status and characteristics of subsistence agriculture is often scarce and unreliable. Vulnerability to pests and diseases, natural disasters, and global climate change affect economic resilience and food security, increasing the need for efficient technologies to collect agricultural data.
Remote sensing technologies have the potential to transform decision maker’s capacity for timely inferences on agricultural production, economic forecasts, market decisions and food security at the local, regional and national level. Remote sensing of smallholder agricultural production systems is challenging because of the small sizes of agricultural fields, large variability of planting times, harvesting times and agricultural management practices across space, mixed cropping and fuzzy field boundaries. However, over the past few years remote sensing data from satellites and unmanned aerial vehicles (UAVs) have increasingly become available at higher spatial resolution, increased temporal frequency and at lower or no cost.
Over the years many research institutions, funding agencies and governments have supported projects to develop methods for remote sensing of smallholder agriculture. We believe that this is an appropriate time to take stock of the current state of associated remote sensing methods. We would like to invite authors to submit their most recent research on the use of satellite and UAV based data to monitor, characterize and quantify smallholder subsistence agricultural production systems worldwide including, but not limited to, the following topics, focused on smallholder subsistence agricultural production systems:
- Mapping crop type and area
- Estimation of crop condition and characterization of management techniques
- Estimation of crop yields
- Estimation of greenhouse gas emissions
- Analysis of interannual trends and anomalies
- Use of radar data for crop mapping and monitoring crops
- Data fusion from optical, thermal and radar sensors to map and monitor crops
- UAV based sensor system development for agriculture monitoring and mapping
- Integration of UAV and satellite data for agriculture monitoring and mapping
Dr. Jan Dempewolf
Dr. Jyoteshwar Nagol
Dr. Min Feng
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 papers will be 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 1800 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.