Panshi Wang's starred repositories
techniques
Techniques for deep learning with satellite & aerial imagery
awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
LightGBMLSS
An extension of LightGBM to probabilistic modelling
planetutils
Scripts and a Docker container to maintain your own OpenStreetMap planet, terrain tiles, & Valhalla Tilepacks
LOD2BuildingModel
SAT2LoD2: Automated LoD-2 Model Reconstruction from Satellite-derived DSM and Orthophoto
DeepSatModels
Deep learning models for remote sensing applications
whiteboxgui
An interactive GUI for WhiteboxTools in a Jupyter-based environment
EarthMapper
Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery
earthformer
A Python package for Earth forecasting transformer
Landsat-LAI
Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS
SatelliteVu-AWS-Disaster-Response-Hackathon
Satellite Vu submission for the AWS Disaster Response hackathon
ukis-csmask
UKIS Cloud Shadow MASK
DeepSatData
Automatically create machine learning datasets from satellite images
Hubitat-Combined-Presence
A Hubitat app for intelligently combining multiple presence sensors, to make a better overall sensor.
keras-spatial
Provides a SpatialDataGenerator class for accessing spatial data.
Multiclass_Semantic_Segmentation
Multiclass semantic segmentation on geospatial multispectral data
grid-nasa-lvis-l2
Grid laser-shot-based LVIS L2 data from NASA into raster data
p_point2grid
Parallelized LIDAR points to regular grid
keras-spatial
Provides a SpatialDataGenerator class for accessing spatial data.