flight_planner VS dzetsaka

Compare flight_planner vs dzetsaka and see what are their differences.

flight_planner

QGIS plugin for planning photogrammetric flights. Output: projection center layer (with attribute table containing parameters of Exterior Orientation) and size of images at average height of the terrain. With flight assessment tools you can get: real coverage of photos, logical sum of overlapping photos, GSD map. (by JMG30)
qgis Plugin Photogrammetry Flightplan flight-simulation gsd
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dzetsaka

dzetsaka : classification plugin for Qgis (by nkarasiak)
qgis Classification geomatics Algorithm AI Plugin Svm Rf
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flight_planner dzetsaka
1 2
30 77
- -
1.9 0.0
about 1 year ago over 2 years ago
Python Python
GNU General Public License v3.0 only GNU General Public License v3.0 only
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flight_planner

Posts with mentions or reviews of flight_planner. We have used some of these posts to build our list of alternatives and similar projects.
  • Flight planner plugin error
    1 project | /r/QGIS | 16 Feb 2022
    Hi, Not sure why but I keep getting an error when I try to use the flight planner plugin. I've followed the tutorial here https://github.com/JMG30/flight_planner/wiki/Guide

dzetsaka

Posts with mentions or reviews of dzetsaka. We have used some of these posts to build our list of alternatives and similar projects.
  • How would i clean manmade features like airports and canals from gis data from an entire country.
    1 project | /r/gis | 21 Apr 2023
  • Remote Sensing and Mangroves
    1 project | /r/remotesensing | 29 Jan 2021
    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?

When comparing flight_planner and dzetsaka you can also consider the following projects:

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.

Blender-Addon-Photogrammetry-Importer - Addon to import different photogrammetry formats into Blender

pycm - Multi-class confusion matrix library in Python

Meshroom - 3D Reconstruction Software

Machine-Learning - Implementation of different ML Algorithms from scratch, written in Python 3.x

linux-photogrammetry-tools - Structure from motion pipeline (Bundler + CMVS + PMVS2) ready to run on Ubuntu or Docker

RubixML - A high-level machine learning and deep learning library for the PHP language.

Roam - Simple data collection built using QGIS.

qgis-densityanalysis-plugin - QGIS plugin that automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms.

svm-pytorch - Linear SVM with PyTorch

SuperStyl - Supervised Stylometry

flight_planner vs qgis-latlontools-plugin dzetsaka vs qgis-latlontools-plugin flight_planner vs Blender-Addon-Photogrammetry-Importer dzetsaka vs pycm flight_planner vs Meshroom dzetsaka vs Machine-Learning flight_planner vs linux-photogrammetry-tools dzetsaka vs RubixML flight_planner vs Roam dzetsaka vs qgis-densityanalysis-plugin dzetsaka vs svm-pytorch dzetsaka vs SuperStyl