LLR-LandTrendr
Trend analyzer
An open-source Landsat satellite imagery processing and analysis tool for detecting trends in forest disturbance and recovery.
Landsat-based Detection of Trends in Disturbance and Recovery algorimth modified to accept LandsatLinkr-processed imagery.
10 stars
5 watching
4 forks
Language: IDL
last commit: over 8 years ago
Linked from 1 awesome list
acgeospatial/awesome-earthobservation-codeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 kennedyresearch/landtrendr-2012 | A software tool for analyzing and detecting trends in forest disturbance and recovery using satellite imagery. | 39 |
 conservationinternational/trends.earth | An online tool to analyze land change and track progress towards sustainable development goals | 111 |
 gersl/cold | Continuous monitoring of land disturbance using Landsat time series data | 22 |
 microsoft/roaddetections | Automating road detection from aerial imagery using deep learning techniques. | 541 |
 gauteh/roaring-landmask | A software package for quickly determining whether a point on Earth is on land or not. | 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 |
 loicdtx/bfastspatial | Provides utilities and wrappers for performing change detection on satellite image time-series data | 93 |
 karthikraja95/fsdl_deforestation_detection | A deep learning project for detecting deforestation from satellite images using a full stack approach | 40 |
 deel-ai/lard | A dataset and toolset for training object detection models to identify runways in aerial images during landing phases. | 89 |
 jkk-research/urban_road_filter | An algorithm for detecting urban roads and sidewalks from LiDAR point clouds in real-time. | 298 |
 bailool/placerecognition-loopdetection | This project provides a light-weight algorithm for detecting loops in place recognition using road markings. | 57 |
 summitgao/sar_cd_ddnet | An implementation of a deep learning model for detecting changes in synthetic aperture radar images using frequency and spatial domain features. | 58 |
 kdd-opensource/deepadots | A benchmarking pipeline for evaluating anomaly detection methods on time series data using deep learning algorithms | 571 |
 emapr/lt-gee | An implementation of the LandTrendr spectral-temporal segmentation algorithm on Google Earth Engine | 198 |
| jdbcode/landsat-solar-elevation | An online platform that calculates and visualizes the annual solar elevation at Landsat overpass times for locations worldwide. | 1 |