qgis-densityanalysis-plugin
dzetsaka
qgis-densityanalysis-plugin | dzetsaka | |
---|---|---|
1 | 2 | |
19 | 77 | |
- | - | |
6.8 | 0.0 | |
4 months ago | almost 3 years ago | |
Python | Python | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
qgis-densityanalysis-plugin
dzetsaka
- How would i clean manmade features like airports and canals from gis data from an entire country.
-
Remote Sensing and Mangroves
You can use Sentinel 2 data (https://scihub.copernicus.eu/) and perform a supervised classification in QGIS using dsetzaka plugin (https://github.com/nkarasiak/dzetsaka) and extract boundaries. First remember to install scikit learn into QGIS (be aware to install it into QGIS python repository) otherwise you won't be able to run random forest from the plugin. Then do the same for other dates and create a time serie. At this point you can easily measure area changes. Id suggest to apply NDVI, NDMI, GCI and SIPI to assess health status of vegetation
What are some alternatives?
qgis-d3datavis-plugin - QGIS D3 Date and Time Heatmap
qgis-latlontools-plugin - QGIS tools to capture and zoom to coordinates using decimal, DMS, WKT, GeoJSON, MGRS, UTM, UPS, GEOREF, ECEF, H3, and Plus Codes notation. Provides external map support, MGRS & Plus Codes conversion and point digitizing tools.
qgis-earthengine-examples - A collection of 300+ Python examples for using Google Earth Engine in QGIS
pycm - Multi-class confusion matrix library in Python
mini-map-maker - A tool for automatically generating 3D printable STLs from freely available lidar scan data.
Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x
Machine-Learning-for-Asset-Managers - Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
RubixML - A high-level machine learning and deep learning library for the PHP language.
svm-pytorch - Linear SVM with PyTorch
SuperStyl - Supervised Stylometry
core - Common Open Research Emulator