Environmental Footprints Forecasts Using Remote Sensing, Information Technology and Artificial Intelligence Methods

Dear Colleagues,

Environmental footprints have emerged and been widely applied in environmental impact assessments to show the appropriation of natural resources by humans. Footprints are divided into environmental, economic, and social footprints, and combined environmental, social, and/or economic footprints. The concept of a “footprint” originates from the idea of the ecological footprint, EF. Each footprint indicates particular classes of pressures associated with process, product, or activity from the life cycle perspective.

Several footprints are identified as key footprints because they are essential for sustainability and sustainable development. The recognized footprints are carbon (CF), water (WF), nitrogen (NF), phosphorus (PF), biodiversity (BF), and land (LF).

The goal of this Special Issue is to offer a platform for the quick, open publication of peer-reviewed research on environmental footprints estimations using RS, GIS, and artificial modes in semiarid and arid regions. The topics that will be covered in this issue include, but are not limited to, the following:

• Environmental resource management;
• Environmental risk assessment;
• Water/groundwater footprint;
• Gas emissions
• Water scarcity;
• Advanced artificial intelligence;
• Remote sensing applications;
• Rainfall harvesting;
• Information technology;
• Spatial planning and governance for climate adaptation.

Dr. Ahmed Elbeltagi
Prof. Dr. Quanhua Hou
Prof. Dr. Bin He
Topic Editors