Earth Observation and GIScience for Agricultural Applications

Dear Colleagues,

Current and projected scenarios for global agricultural systems call for new approaches for sustainable use of environmental resources and decision-making. Recent technological advancements, such as earth observation, geospatial technologies, unmanned aerial vehicles (UAVs), and the Internet of things (IoT), among others, have boosted our knowledge about agricultural systems and interactions at natural, social, and economic levels. These have contributed to collecting, analyzing, monitoring, and simulating the use of resources in the agricultural domain and provided decision-making tools for sustainable intensification, production systems and supply chains, and natural resource management, among others.

We are facing the data deluge era with free and open data policies for several satellite platforms and geospatial data originates from a wealth of human and electronic sensors along with a growing set of powerful tools for data management and processing. We are at the right time to harness the geospatial components for deploying products and services to serve different stakeholders in agricultural monitoring and supporting a climate-resilient, climate-neutral, and environment-friendly agriculture.

EO data and GIScience will be pivotal in ensuring the implementation of EU and global policies (EU’s Green Deal, the Area Monitoring System of the Common Agricultural Policy and national agricultural statistics).

This Special Issue will explore relevant applications of geospatial data and techniques for agriculture and sustainable use of resources.

We cordially invite original research, reviews, and contributions on topics including but not limited to the following:

• Remote, proximal, ground, and human sensing data collection to support application in agriculture;
• GIS-based decision support systems for managing resources in agriculture and carrying out scenario simulations;
• Geospatial analysis for measuring climate change impacts on cultivated lands;
• Integration of geodata for assessing the relationships between environment and agriculture;
• Administrative and statistical data for monitoring agricultural activities;
• Land cover and land use mapping for agricultural land;
• Geospatial big data for agricultural applications;
• Novel tools and techniques for data collection in agriculture.

Dr. Eng. Flavio Lupia
Prof. Dr. Jamal Jokar Arsanjani
Prof. Dr. Cidália Costa Fonte
Dr. Giuseppe Pulighe
Guest Editors

Manuscript Submission Information

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