roaring-landmask
Land detector
A software package for quickly determining whether a point on Earth is on land or not.
A fast and memory-limited landmask based on GSHHG and OpenStreetMap for determing whether a point on Earth is on land or in the ocean.
22 stars
3 watching
4 forks
Language: Rust
last commit: 7 months ago
Linked from 1 awesome list
gisgshhglandmaskopenstreetmappythonroaring-bitmapsrust
pka/awesome-georustRelated projects:
| Repository | Description | Stars |
|---|---|---|
 jdbcode/llr-landtrendr | An open-source Landsat satellite imagery processing and analysis tool for detecting trends in forest disturbance and recovery. | 10 |
 arirawr/arkit-floorislava | An ARKit project that detects horizontal planes in the environment and renders them as lava | 124 |
 gena/gbdx-surface-water | Automates detection of surface water on Digital Globe imagery using Bayesian methods and Google Earth Engine. | 2 |
 hsg-aiml/industrialsmokeplumedetection | Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. | 40 |
 gersl/cold | Continuous monitoring of land disturbance using Landsat time series data | 22 |
| gersl/ccdc | An algorithm for detecting and classifying changes in land cover using Landsat data, requiring processing of large datasets and generating output files. | 99 |
 conservationinternational/trends.earth | An online tool to analyze land change and track progress towards sustainable development goals | 111 |
 mhscience/landslides_detection | Tool to detect landslides from satellite imagery using machine learning and image analysis | 94 |
 rulixiang/changedetectionpcakmeans | This MATLAB implementation detects changes in various types of land cover in satellite images using PCA and k-Means clustering | 77 |
 evan-delancey/googleearthengine | Develops algorithms and integrates satellite data from Google Earth Engine to analyze land surface changes and track environmental patterns. | 11 |
 emapr/lt-gee | An implementation of the LandTrendr spectral-temporal segmentation algorithm on Google Earth Engine | 198 |
 microsoft/roaddetections | Automating road detection from aerial imagery using deep learning techniques. | 541 |
 geometalab/osmdeepod | Automated object detection from aerial imagery using OpenStreetMap data and deep learning. | 192 |
 deel-ai/lard | A dataset and toolset for training object detection models to identify runways in aerial images during landing phases. | 89 |
 mrhooray/kdtree-rs | An efficient data structure library for fast geospatial indexing and nearest neighbor searches | 236 |