Adnan Abbas Shah's repositories
30-Days-GEE-Challenge
Join the 30-day challenge to master Google Earth Engine (GEE)! Daily scripts, tutorials & resources for geospatial analysis. Let's code the Earth together! 🌍✨
3DGAN-ViT-classification
Here is the code developed for the paper "A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples" puplished in International Journal of Applied Earth Observation and Geoinformation.
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
AIforEarthDataSets
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
CoastSat
Global shoreline mapping tool from satellite imagery
deep-learning-for-earth-observation
Application of deep learning for earth observation.
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
geospatial-machine-learning
Machine learning in geospatial data
geospatialdatascience
Course materials for: Geospatial Data Science
glacier_mapping
Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.
hydra-floods
HYDrologic Remote sensing Analysis for Floods Python package
ijcnn19ensemble
Deep Neural Network Ensembles for Time Series Classification
LST
Land Surface Temperature from Landsat on Google Earth Engine
LULC-Classification-Using-Deep-learning
This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!
LULC_UAE_DL
Deep Learning for Land-Use-Land-Cover (LULC) segmentation in the UAE using Sentinel-2 Surface Reflectance Imagery
Mapping_Mangrove_Forests
A GitHub repository for mapping and conserving mangrove forests along Karachi's southern coast using Google Earth Engine and NASA/IUCN data
open-sustainable-technology
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
Raoq_GEE
Notebook for RAOQ using Google Earth Engine Catalog
sankee
Visualize classified time series data with interactive Sankey plots in Google Earth Engine
seaweed-classification
A Random Forest algorithm to identify and classify seaweed species from drone-acquired high-resolution multispectral imagery, elevation data, and ground-truth samples.
time-series-productivity-sp
Mapping sugarcane productivity in São Paulo. Project for the MBA in Data Science and Analytics.
xview2_1st_place_solution
1st place solution for "xView2: Assess Building Damage" challenge.