Remote and Proximal Sensing Applications in Agriculture

Dear Colleagues,

Remote sensing allows the mapping of the Earth's surface from satellite or airborne systems, while proximal sensing systems collect detailed information near the surface. This offers a great advantage over previous data sources, as repetitive wide area coverage can be performed at a low cost, and estimations are performed in a non-destructive way. From satellite remote sensing to low-flying unmanned aerial vehicles (UAVs) and in-situ spectrometers, a large amount of data is collected to help farmers and agricultural policy makers to take informed decisions. Remote and proximal sensing systems can provide a multitude of information for agricultural applications, with the main objective being to map, monitor and model agricultural resources and the environmental impacts of agriculture.

The aim of this Special Issue is to collect state-of-the-art research of leading scientists in the world of agricultural applications of remote and proximal sensing. Submissions on the following topics are invited (but not limited to), as long as they focus on remote and proximal sensing:

• crop and grassland area estimates with pixel and object-based methods,
• yield predictions of crops and grasslands,
• remote and proximal data assimilation in crop growth models,
• early detection of crop stressors (pests, disease, deficiencies),
• crop damage assessment (frost, droughts, hail),
• change detection of agricultural lands and grasslands,
• UAVs for site-specific management (water, agrochemicals),
• precision agriculture,
• irrigated water use estimation,
• soil moisture mapping,
• spatio-temporal analysis of time series of agricultural parameters,
• analysis of hyperspectral data cubes for crop, soil and agricultural water,
• digital soil mapping,
• soil and plant spectroscopy,
• sensors for proximal sensing at field level,
• soil erosion, desertification and land degradation,
• environmental impacts of agriculture (e.g. impact on downstream water bodies related to water quantity and quality),
• mapping aquacultures
• quantitative remote sensing for mapping agricultural parameters (e.g. evapotranspiration, green biomass, leaf area index).

Papers must present innovative methods and approaches, or novel applications of existing tools.  

Dr. Thomas Alexandridis
Guest Editor

Manuscript Submission Information

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