The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …

The scholarly literature on the links between Artificial Intelligence and the United Nations'
Sustainable Development Goals is burgeoning as climate change and the biotic crisis …

Digitalization is globally transforming the world with profound implications. It has enormous
potential to foster progress toward sustainability. However, in its current form, digitalization …

Understanding the dynamics of deforestation and land uses of neighboring areas is of vital
importance for the design and development of appropriate forest conservation and …

Flood is considered the most extensive natural disaster around the globe. Kunur River, a
riverine landscape of Rarh Bengal, was selected as the study area because this basin has …

The recent progress in data science, along with the transformation in digital and satellite
technology, has enhanced the capacity for artificial intelligence (AI) applications in the …

Despite several measures that have been taken to promote the conservation of the Peruvian
Amazon, several reports exhibited that forest cover loss was still occurring. To combat …

The present work aims to carry out an analysis of the Amazon rain-forest deforestation,
which can be analyzed from actual data and predicted by means of artificial intelligence …

Land use changes (LUCs), which are defined as the modification in the use of land due to
anthropogenic activities, are important sources of GHG emissions. In this context …

Many spatial decision support systems suffer from user adoption issues in practice due to
lack of trust, technical expertise, and resources. Automated machine learning has recently …