naip

Mapping wetland hydrological dynamics using Google Earth Engine (GEE)

Python library for high-accuracy water segmentation in satellite and aerial imagery, combining deep learning with NDWI and vector data for robust detection across multiple sensors and resolutions.

Mapping surface water and wetland hydrological dynamics using Google Earth Engine

Open Virginia GIS is a repository of gis data mapping the Commonwealth of Virginia, its localities, features, demographics, etc. Census data, state data, and locality data included....eventually standalone will automagic all of this

A demo for the creation of US Power Plant NAIP/Landsat8 Dataset

Weakly supervised deep learning for 1m wetland mapping using multi-temporal NAIP imagery and LiDAR in the Prairie Pothole Region. Built on the geoai open-source package.

demo of STAC + gRPC + NAIP

Client-side COG rendering and serverless GeoParquet spatial indexing — NAIP imagery draped on USGS 3DEP 1-m terrain in the browser (deck.gl + DuckDB + Lambda)

Encoding a CIFP procedure (RNP-AR). ARINC 424 standard.

A Python module for remote sensing index calculations and processing. Mostly used for my experimentation with new concepts and techniques.

Using multispectral imagery from NAIP in agriculture

A small Python library for downloading NAIP aerial imagery for arbitrary polygons via Google Earth Engine. Hand it a GeoJSON, Shapefile, or shapely geometry; get back GeoTIFFs clipped to your shapes.

Detecting and Correcting Spatial Bias in VGI Using Remote Sensing — OSM evaluated against USGS 3DEP LiDAR + NAIP across two regions and all 102 Illinois counties, with community-validated correction. I-GUIDE Summer School 2026 · VCO talk Sept 23, 2026.

The Python module for the Georgia Canopy Analysis 2009 project sponsored by the Georgia Forestry Commission

NAIP Derived dataset for aircraft detection models

A CONUS flight-simulator-style streaming viewer: NAIP aerial imagery and USGS 3DEP 1-meter terrain, normalized server-side onto one EPSG:3857 z/x/y quadtree and streamed to a Three.js client through CloudFront.