CCDC
Change detection algorithm
An algorithm for detecting and classifying changes in land cover using Landsat data, requiring processing of large datasets and generating output files.
Algorithm developed for Continuous Change Detection and Classification (CCDC) of land cover using all available Landsat data.
99 stars
6 watching
36 forks
Language: MATLAB
last commit: 3 months ago
Linked from 1 awesome list
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
| gersl/cold | Continuous monitoring of land disturbance using Landsat time series data | 22 |
 rulixiang/changedetectionpcakmeans | This MATLAB implementation detects changes in various types of land cover in satellite images using PCA and k-Means clustering | 77 |
 conservationinternational/trends.earth | An online tool to analyze land change and track progress towards sustainable development goals | 111 |
 azvoleff/teamlucc | Analyzes land use and cover change from satellite imagery | 38 |
| gersl/cmask | A tool for detecting cirrus clouds in Landsat 8 imagery using a time series of data from the Cirrus Band. | 7 |
 geoscienceaustralia/fc | A remote sensing algorithm to separate and quantify land cover components from satellite images. | 12 |
 vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
 earth-chris/earthlib-legacy | A suite of software tools for satellite-based land cover mapping using spectral endmembers and unmixing algorithms | 24 |
| gersl/fmask | Automated cloud, shadow, and water masking software for satellite images | 172 |
 jdbcode/llr-landtrendr | An open-source Landsat satellite imagery processing and analysis tool for detecting trends in forest disturbance and recovery. | 10 |
 hsg-aiml/industrialsmokeplumedetection | Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. | 40 |
 kgpml/hyperspectral | Developing Deep Learning models for classifying land covers in hyperspectral images using Neural Networks | 298 |
 kennedyresearch/landtrendr-2012 | A software tool for analyzing and detecting trends in forest disturbance and recovery using satellite imagery. | 39 |
 reginalexavier/openland | An R package for analyzing land use and cover change, providing tools for visualization and intensity analysis of time series data. | 21 |
 jgrss/cultionet | A deep learning library for image segmentation of cultivated land from satellite data | 27 |