This is the github repository for the article: Convolutional Neural Network Modelling for MODIS Land Surface Temperature Super-Resolution
Canada Wildfire Prediction Using Deep Learning
Download and extract USA County specific data from NASA MODIS Remote Sensing Dataset
M.Sc. Statistics Dissertation | NDVI Vegetation Dynamics, Time-Series Forecasting, Bayesian Analysis, Google Earth Engine, R, QGIS
Ground stations - satelite data comparison using low-cost temperature sensors and MODIS Land Surface Temperature data
Estimating Snow ❄️using NDSI From MODIS satellite Data 2000 to 2021
Unsupervised K-Means clustering of 198 BBMP wards into four climate-vulnerability archetypes, derived from satellite measurements of surface temperature, urbanisation, vegetation, and water-body proximity. Independently corroborates the cool-roof prioritisation produced by the companion supervised UHI model.
Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion and UHI map creation.
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