Big data, data mining, artificial intelligence, machine learning, ontologies, and knowledge graphs have all made it possible for numerous new trends, technologies, and approaches in Geoinformatics over the past 20 years. There is a growing ecosystem for Earth and environmental systems based on Geo-ICT. In line with this, numerous scientific disciplines have reported on data-intensive discoveries, including agriculture, climate resilience, mineralogy, paleontology, archaeology, hydrology, geochemistry, geophysics, mineral exploration, geohazards, and sustainable development goals, among others.
Artificial intelligence (AI) researchers have just recently started talking about AI and knowledge-infused machine learning. Researchers in Geoinformatics and GIScience naturally responded to the rapid growth of AI by proposing Earth AI and GeoAI as broad subjects to illustrate how AI has been adapted and used in Earth science and geography. Are there additional upgrades in various areas of Geoinformatics as a result of AI? Are geoscientists' work practices evolving as a result of new Geoinformatics techniques and technologies? Is it possible for other researchers to further their own work and gain from the successful applications.
This Research Topic aims to present studies on emerging trends and advancement of Geoinformatics applications in earth and environmental systems which includes Geo-AI and ML tools in the field of agriculture, forests, water, infrastructure, climate resilience, mineralogy, paleontology, archaeology, hydrology, geochemistry, geophysics, mineral exploration, geo-hazards, rural and urban development, techniques and modelling, Also new simulation techniques, and statistical approval on Multi & Hyperspectral Remote Sensing and UAV/Drone technology.
Big data, data mining, artificial intelligence, machine learning, ontologies, and knowledge graphs have all made it possible for numerous new trends, technologies, and approaches in Geoinformatics over the past 20 years. There is a growing ecosystem for Earth and environmental systems based on Geo-ICT. In line with this, numerous scientific disciplines have reported on data-intensive discoveries, including agriculture, climate resilience, mineralogy, paleontology, archaeology, hydrology, geochemistry, geophysics, mineral exploration, geohazards, and sustainable development goals, among others.
Artificial intelligence (AI) researchers have just recently started talking about AI and knowledge-infused machine learning. Researchers in Geoinformatics and GIScience naturally responded to the rapid growth of AI by proposing Earth AI and GeoAI as broad subjects to illustrate how AI has been adapted and used in Earth science and geography. Are there additional upgrades in various areas of Geoinformatics as a result of AI? Are geoscientists' work practices evolving as a result of new Geoinformatics techniques and technologies? Is it possible for other researchers to further their own work and gain from the successful applications.
This Research Topic aims to present studies on emerging trends and advancement of Geoinformatics applications in earth and environmental systems which includes Geo-AI and ML tools in the field of agriculture, forests, water, infrastructure, climate resilience, mineralogy, paleontology, archaeology, hydrology, geochemistry, geophysics, mineral exploration, geo-hazards, rural and urban development, techniques and modelling, Also new simulation techniques, and statistical approval on Multi & Hyperspectral Remote Sensing and UAV/Drone technology.