Developer: Dr. Haitao Lyu ([email protected])

• GitHub: lyuhaitao (HAITAO LYU) · GitHub

• LinkedIN: https://www.linkedin.com/in/lyuhaitao

Wild animal surveys conducted using Unmanned Aerial Vehicles (UAVs) equipped with thermal imaging cameras are a powerful tool for conservation and ecological studies. Orthogeoreferencing aligns thermal images with geographic coordinates, allowing for precise mapping of animal locations. This is crucial for spatial analysis and habitat mapping, as it provides accurate data on where animals are located within a landscape, their movement patterns, and their preferred habitats.

Based on PyQt6, GDAL, RasterIO, Fiona, Folium, etc, I developed the GUI application, which can be used to ortho-georeference thermal images captured by DJI drones.

Click Download Ortho DJI Image to download the application.

Download URL: https://utdallas.box.com/s/m9blbm090njz2qdd57njnyyzkvt0irjz

It includes a zip file, a .yml file, and a folder.

• OrthoDJIImage.zip

• buffalo. It is a folder that stores the testing thermal images captured by DJI drones.

• enviroment.yml

• Install anaconda

• Open Anaconda prompt

• conda env create -f environment.yml
  

• After runing the command above, a virtual environment env_qt will be created.

• Use the command conda env list to show the folder path of env_qt. Suppose that the path is D:\env_qt

• Add D:\env_qt\Library\bin to the system environment variable Path.

• Double click map_view.exeto launch the application.

• Click OpenFile button to navigate the folder where images are stored. Double click the folder icon, then DataView widget will list the detailed information of each image extracted from image meta data.

• in DataView, double click an item, and a new window will pop out to show the details of the corresponding image.

• in the DataView widget, clicking the checkbox means that an item is selected. Click the button Select All to select all items.

• Click the button Remove, and only the selected items are removed.

• Click the button Map . The locations where images were captured by drones will be mapped on the map in the MapView.

• Locations are denoted as green icons. The arrow in a green icon represents the rotation angel of an image.

• Click the Layers Icon to pop out a new window, showing all layers. Each image is represented as a layer.

• by selecting the checkboxes, you can decide which images will be finally chosen to stay on the map.

• Select the checkbox at the bottom, and then click the button Map. The frames of images will be mapped on the map.

• Click the green icon. A iframe will be pop out to show the detailed information about the image at this location.

• Click the button . All the chosen images will be ortho-georeferenced, and saved as the tif files.

• The locations and frames are written in a ESRI shp file.