Research Interest Area
I have worked on different Geospatial issues such as wildfire, Forest Fire, Forest monitoring, forest cover dynamics, Precision agricultural, Crop identification, Agriculture monitoring, Urban analytics, Urban planning, Ecosystems, 3D Geoinformation, spatial analysis to examine land use/land cover, Geospatial data science, Flash flood, flood prediction, flood forecasting, flood damage assessment, flood warning, Climate Modeling, Regional Climate Modeling, Climate Dynamics and geophysics over the past eight (8) years. Working on different aspects of Geospatial issues has helped me to come up with new solution by combining techniques used in many different fields. During these years I have developed many skills, like Digital Image Processing & Interpretations, Remote Sensing, Project Planning, Data Analysis, Flood Monitoring, Crop Monitoring, Forest Changes & Fire Burnt area, Google Earth Engine, HEC-RAS, FlowR, RAMMS, GeoClaw, COSI-Corr, SfM, AHP and FR) using machine learning, Python, R and MATLAB. These skills will help me to be part of research team and design new solutions to common geospatial and environmental issues.
Agriculture
Combining optical remote sensing images from Sentinel-2 and Landsat-8 with Machine Learning (ML) methods, namely a Decision Tree Classifier (DTC) and a Random Forest (RF) algorithm
Urban Remote Sensing
Prediction of the seasonal distribution of Land Use Land Cover and LST using the CA-Markov-Chain
Natural hazards risk assessemnt
We are working on drought monitoring, forest fire, typhoons, landsliding and flash flood using opticall remote sensing and radar data