Pinned Repositories
landslide_espin_2023
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
BalancedLSM
Code for landslide susceptibility mapping
camera-spectroscopy
Smartphones based spectroscopy for estimating soil properties
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
DeepMARS
Deep Network for Discontinuity Detection in SHARAD Radargram of MARS
ML-LDT_Team-F
GeoLDN-UNCCD Tool - Team F
Hyperspectral_OptimalSpectralClustering
Compute the optimal number of bands essential for dimensionaity reduction
sharadgupta27's Repositories
sharadgupta27/camera-spectroscopy
Smartphones based spectroscopy for estimating soil properties
sharadgupta27/3DFin
3D Forest INventory
sharadgupta27/AngleCAM
A deep learning-based method to infer leaf angle variation from photographs.
sharadgupta27/best-of-atomistic-machine-learning
🏆 A ranked list of awesome atomistic machine learning libraries ⚛️🧬💎.
sharadgupta27/dea-notebooks
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
sharadgupta27/deafrica-sandbox-notebooks
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
sharadgupta27/detectree2
Python package for automatic tree crown delineation based on the Detectron2 implementation of Mask R-CNN
sharadgupta27/Efficient_Python_tricks
Efficient Python Tricks and Tools for Data Scientists
sharadgupta27/EZ-InSAR
Matlab Interface for Easy InSAR
sharadgupta27/GML2023
Graph Machine Learning course, Xavier Bresson, 2023
sharadgupta27/gmt-for-geodesy
Material for the annual GMT for EarthScope short course
sharadgupta27/HighResCanopyHeight
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
sharadgupta27/hyperspectral-notebooks
Example hyperspectral notebooks
sharadgupta27/ICESat-2-Hackweek-2023
ICESat-2 Hackweek 2023 tutorials and event website
sharadgupta27/integrated_methane_inversion
Integrated Methane Inversion workflow repository.
sharadgupta27/Julia-intro-for-geoscience-EGU2024
https://meetingorganizer.copernicus.org/EGU24/session/49443
sharadgupta27/MarineEcosystemNotebooks
Marine ecosystem observations and models
sharadgupta27/MultiscaleHeterotheca
This repository provides the code and data created for multiscale mapping of Heterotheca subaxillaris.
sharadgupta27/OGH_summer_school_2023
Links and slides from the OpenGeoHub summer school 2023
sharadgupta27/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sharadgupta27/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
sharadgupta27/Spherical-Pano-UPDATE
Scripts used to process smartphone spherical panoramas into upward facing hemispherical images for estimating forest canopy metrics.
sharadgupta27/Structural-Equation-Modeling-foR-Psychologists
Lesson files used in the Structural Equation Modeling for Psychologists.
sharadgupta27/Topographic-Analysis-Kit
Set of matlab based tools for topographic analysis, built on top of TopoToolbox.
sharadgupta27/TreeCrownDelineation
Individual tree crown delineation in optical remote sensing images
sharadgupta27/TreeSegment_SA
sharadgupta27/UAV_image_processing
MicaSense RedEdge and Altum image processing tutorials
sharadgupta27/VITALS
This repository provides Python Jupyter notebook examples to help users work with VSWIR and TIR data from the EMIT and ECOSTRESS missions.
sharadgupta27/wildfire-detection
This repository showcases our work on using computer vision to detect wildfires. Explore the code, model, and results of our research on wildfire prevention.
sharadgupta27/XAI-tool4GEE
This is the repository for the paper titled, "Enhancing Land Cover Mapping and Monitoring: An Interactive and Explainable Machine Learning Approach using Google Earth Engine".