Canada Wildfire Prediction Using Deep Learning
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Updated
Jul 2, 2024 - Jupyter Notebook
Canada Wildfire Prediction Using Deep Learning
Satellite Products capturing Nigeria's 2022 Flooding events
Niger Economic Monitoring
Using GEE to collect and discover land surface temperature data over European river basins.
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
This repo contains javascript code used in Google Earth engine to perform various Geospatial Data analysis tasks on satellite data. The code utilizes Google earth engines own archive of Satellite data.
Research work for cloud and snow segmentation problem using meteorological satellite Electro-L №2 multispectral data, also suitable for GOES-16,17 multispectral data. This project includes all needed functions and utils for preprocessing multispectral data to make your own dataset for cloud and (or) snow segmentation problem
UPC Artificial Intelligence with Deep Learning. Wildfire prediction using Semantic Segmentation on satellite imagery
Relating (soil) droughts to spectral indices
Using GEE to collect and discover land surface temperature data over custom location input.
GEE code for pixel-based land cover classification with Random Forest (RF) algorithm, and for NDVI time series visualization.
MODIS Assimilation and Processing Engine
Python package to crawl and analyze historical satellite images (MODIS) of volcano hotspots and filter clouds via spectral imaging
Distributed Remote Sensing Processing
Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model
MODIS Mosaic of Antarctica
This is the code used in my masters thesis research.
Análisis y construcción de modelo de calidad del aire - Sitio: Comunidad de Valencia (España)
Phoenix is a realtime forest-fire prediction app | NASA Space Apps Challenge 2020 | Global Nominee
NASA Space Apps Challenge 2020 submission. Team: Garlic Bread
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