Sharad Kumar Gupta's repositories
natural-color
Natural color representation of Sentinel-2 data
NN-SVG
Publication-ready NN-architecture schematics.
R-FieldSpectra
R library for importing and processing field spectroscopy data collected with ASD and Spectral Evolution instruments
prismaread
Import PRISMA hyperspectral data and convert them to a "friendly" format
awesome-random-forest
Random Forest - a curated list of resources regarding random forest
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
shadow-model
Repo for Christian's best-practices paper
LabAIML
Lab Materials for the lecture "Introduction to Artificial Intelligence and Machine Learning".
awesome-erddap
A curated list of awesome Erddap projects and deployments
ChangeDetectionRepository
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
SMAP-HydroBlocks_postprocessing
Code for postprocessing the SMAP-HydroBlocks dataset from the Hydrological Response Unit (HRU) space into the geographically gridded space. More information on SMAP-HydroBlocks at https://waterai.earth/smaphb/
Agricultural-SandboxNL
Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of the parcel based Sentinel datasets.
copernicus-training
This repository hosts Jupyter notebook tutorials on the Copernicus Climate Change (C3S) and Atmosphere Monitoring (CAMS) Services.
ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
MintPy-tutorial
Tutorials in Jupyter Notebook for MintPy
zmap7
ZMAP Seismology Software. V 7.x has been updated to MATLAB R2018a.
stac-api-spec
SpatioTemporal Asset Catalog API specification - an API to make geospatial assets openly searchable and crawlable
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
eemont
A python package that extends Google Earth Engine.
ai-vegetation-fuel
Predicting Fuel Load from earth observation data using Machine Learning
shap
A game theoretic approach to explain the output of any machine learning model.
geeSEBAL
A new open source and web tool to estimate actual ET based on SEBAL model.
lidar
A Python package for delineating nested surface depressions from digital elevation data.
AIforEarthDataSets
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
multi-temporal-super-resolution
Multi-temporal Super-Resolution on Sentinel-2 Imagery using Deimos
gee_s1_ard
Creates an analysis ready sentinel-1 SAR image collection in Google Earth Engine by applying additional border noise correction, speckle filtering and radiometric terrain normalization.
Greenathon-Plant-AI
Identify Diseases in Plants☘️ with Machine Learning on the web using TFJS