calebrob6

land-cover

Code for training and testing deep learning based land cover models.

dfc2021-msd-baseline

A baseline for the "Multitemporal Semantic Change Detection" track of the 2021 IEEE GRSS Data Fusion Competition.

imagenet_validation

migration-slr

labeling-tool

csv-joins

Python script for performing different join operations on CSV files.

land-cover-and-socioeconomic-data

Code for joining NLCD class statistics to Census Tract definitions.

mosaiks-api

An example API for MOSAIKS

satellite-imagery-labeling-tool

This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.

rgb-footprint-extract

A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery

stac-interactive-search

A simple (browser based) UI for searching STAC APIs.

7drl-vesuvius

ai4eutils

Shared utility scripts for AI for Earth projects and team members

ai_for_earth

calebrob6.github.io

cameratraps

geo-ml-model-catalog

Geospatial ML Model Catalog Spec

GlobalMLBuildingFootprints

Worldwide building footprints derived from satellite imagery

landcover_scripts

Scripts for landcover project

naip_dataloader

NonDeepNetworks

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

rasterio

Rasterio reads and writes geospatial raster datasets

ReforesTree

🌴 A dataset for estimating tropical forest biomass based on drone and field data

rtree

Rtree: spatial index for Python GIS ¶

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

spack

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data