Machine Learning Techniques in Agricultural Flood Assessment and Monitoring Using Earth Observation and Hydromorphological Analysis

Risk analysis of urban flood in Bandar Abbas using Machine Learning model and Analytic Hierarchy Process

Extended abstract 1- Introduction Floods are one of the natural events that cause human casualties and damage to buildings, facilities, gardens, fields, and natural resources every year. Urbanization disturbs the balance of slopes through indirect intrusion within watersheds, kills vegetation, soil compaction, and changes in the profile of waterways, increases the severity of floods, and incr...

Reservoir Uncertainty Assessment Using Machine Learning Techniques

Petroleum exploration and production are associated with great risk because of the uncertainty on subsurface conditions. Understanding the impact of those uncertainties on the production performance is a crucial part in the decision making process.Traditionally, uncertainty assessment is performed using experimental design and response surface method, in which a number of training points are se...

Earth Observation for Earthquake Disaster Monitoring and Assessment

Machine Learning Methods for Environmental Monitoring and Flood Protection

More and more natural disasters are happening every year: floods, earthquakes, volcanic eruptions, etc. In order to reduce the risk of possible damages, governments all around the world are investing into development of Early Warning Systems (EWS) for environmental applications. The most important task of the EWS is identification of the onset of critical situations affecting environment and po...

Air Pollution Monitoring Using Earth Observation & GIS

Air pollution has received considerable attention by local and global communities (Wald et al, 1999). Many major cities have established air quality monitoring stations but these stations tend to be scarcely distributed and do not provide sufficient tools for mapping atmospheric pollution since air quality is highly variable (Wald et al, 1999). Satellite remote sensing is a valuable tool for as...