grantpearse

grantpearse's Stars

• shiftkey/desktop

  Fork of GitHub Desktop to support various Linux distributions

  Language:TypeScript6.7k509

• linz/topo-imagery

  A collection of scripts for processing imagery

  Language:Python173

• voxel51/fiftyone-examples

  Examples of using FiftyOne

  Language:Python19937

• radiantearth/ground-referencing-guide

  Best practices for ground reference data collection and cataloguing

  203

• awesome-spectral-indices/awesome-spectral-indices

  A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

  Language:Python838138

• samdobson/image_slicer

  Split images into tiles. Join the tiles back together.

  Language:Python15073

• WikiWatershed/rapid-watershed-delineation

  Rapid Watershed Delineation Code for MMW2

  Language:Python126

• CNES/MAJA

  Level-2A processor used for atmospheric correction and cloud-detection. The active repository is the one below, this one is kept to leave access to the older issues.

  Language:C++13825

• shiyinzhang/Inside-Outside-Guidance

  Interactive Object Segmentation with Inside-Outside Guidance

  Language:Python21734

• ssaru/convert2Yolo

  This project purpose is convert voc annotation xml file to yolo-darknet training file format

  Language:Python456183

• r-spatial/rgee

  Google Earth Engine for R

  Language:R670146

• oceam/EasyMPE

  Easy micro-plot extraction: a pre-processing tool to extract quality micro-plot images for UAV-based high-throughput field phenotyping

  Language:Python63

• geopython/OWSLib

  OWSLib is a Python package for client programming with Open Geospatial Consortium (OGC) web service (hence OWS) interface standards, and their related content models.

  Language:Python381273

• azavea/raster-vision

  An open source library and framework for deep learning on satellite and aerial imagery.

  Language:Python2.1k384

• apburt/treeseg

  Extract individual trees from lidar point clouds

  Language:C++20572

• joheras/CLoDSA

  Language:Jupyter Notebook12333

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.6k8k

• GeoscienceAustralia/dea-notebooks

  Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

  Language:Jupyter Notebook442128

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.4k1.4k

• chrieke/awesome-satellite-imagery-datasets

  🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

  3.6k641

• eweill/convert-datasets

  Convert object detection datasets to different formats

  Language:Python1512