Dear Colleagues,

The development of new geospatial technologies and innovative advanced data analysis is leading to significant progress in the monitoring, mapping, and prediction of fire hazard, risk, and effects (Falaras et al., 2022). New GIS and remote sensing technologies such as unmanned aerial vehicles (UAV), aerial, terrestrial or satellite LIDAR, new satellite and/or radar sensors, and cloud-based imagery processing tools (e.g., Google Earth Engine) are being applied to monitor and characterize fuel hazard, fuel moisture, fire behavior, burned area, burn severity, and fire effects (e.g., fire emissions, fuel consumption, tree mortality and regeneration)(Khaiter & Erechtchoukova, 2022). As the key administration of the nation’s forests, intends to use GIS technology to effectively plan and carry out the projects on forestry operations, conservation, utilization, and development. In implementing forest management plans, it is necessary to have accurate data on which to reach decisions (Jokar et al., 2022). These trends will be critical to the work of federal agencies, as well as for the larger GIS and geospatial communities. New frameworks are needed to integrating GIS technologies to support data collection, processing, storage, and sharing, as well as the protection of these systems (Artene et al., 2020; Corsi et al., 2022).The new concept of GIS integration offers new insights to generating the current explosion of fused spatiotemporal data, new geographic research initiatives, and myriad mobile geospatial apps in governments, businesses, and society (Mihai et al., 2022). Featuring the interface, enhanced the innovative geospatial technologies can help to improved predictions of fire occurrence, spread, intensity, and risk are being developed by integrating GIS and remote sensing information, using innovative statistical and simulation approaches for sustainable forest management of natural resource. The forest management helps to promote the green economy in business perspective.
In light of this Special Issue aims to present the new emerging trends and research concepts regarding the development of innovative applications of GIS, spatiotemporal modeling, and remote sensing to monitor and predict fire hazard, behavior, risk, and effects in forest management and sustainable development and business models. We are welcome to all authors to participate in this special issue who involved in such transformations and their challenges.

Dr. Larisa IVAȘCU
Dr. Alin ARTENE
Dr. Rimsha Khalid

Guest Editors

Monitoring of Fire, Behavior, and Effects of GIS; Technological Approaches for Fuel, Hazard Mapping and Remote Sensing; Technological Interventions and Multisensory Approaches; Methodological Advancements of Forest Mortality and Regeneration Monitoring; Amalgamation of Cloud-Based Imagery Processing Tools; Optimization of Fuel Treatments and Mapping Values at Risk; Machine Learning and Artificial Intelligence Techniques in Forestry; Mapping of Risk from Human Factors and Analysis of Land Cover; Fire Danger Predictions, Affects, and Intensity; Modeling the Effect of Climate Change and Vegetation Changes.; Technological Integration and the Green Economic Stability; GIS Integration and New Technologies in Businesses Perspective