OpenDroneMap (ODM)
ODM is an open source command line toolkit for processing aerial drone imagery. Typical drones use simple point-and-shoot cameras, so the images from drones, while from a different perspective, are similar to any pictures taken from point-and-shoot cameras, i.e. non-metric imagery. OpenDroneMap turns those simple images into three dimensional geographic data that can be used in combination with other geographic datasets.
https://github.com/OpenDroneMap/ODM/blob/master/README.md
Docs: https://docs.opendronemap.org
Community: http://community.opendronemap.org
WebOpenDroneMap (WebODM)
ODM graphical user interface
https://github.com/OpenDroneMap/WebODM
📡 @NoGoolag
#maps #alternatives #aerial #drone #kite #satellite #earth #gmaps
ODM is an open source command line toolkit for processing aerial drone imagery. Typical drones use simple point-and-shoot cameras, so the images from drones, while from a different perspective, are similar to any pictures taken from point-and-shoot cameras, i.e. non-metric imagery. OpenDroneMap turns those simple images into three dimensional geographic data that can be used in combination with other geographic datasets.
https://github.com/OpenDroneMap/ODM/blob/master/README.md
Docs: https://docs.opendronemap.org
Community: http://community.opendronemap.org
WebOpenDroneMap (WebODM)
ODM graphical user interface
https://github.com/OpenDroneMap/WebODM
📡 @NoGoolag
#maps #alternatives #aerial #drone #kite #satellite #earth #gmaps
GitHub
ODM/README.md at master · OpenDroneMap/ODM
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷 - OpenDroneMap/ODM
MapKnitter (MapKnitter.org)
is a free and open source tool for combining and positioning images (often from MapMill.org) in geographic space into a composite image map. Known as “orthorectification” or “georectification” to geographers, this step covers the process of figuring out where images can be placed on an existing map, and how they can be combined, or “stitched” together. You are likely to have many images of overlapping or identical areas, which is why MapMill or some type of sorting is used to determine which source images to use from the original set.
MapKnitter can make maps from any image source, but it particularly lends itself to making maps with balloons and kites. The manual process of making maps with MapKnitter differs greatly from automated aerial imaging systems. In those systems the imaging is of a higher precision and processed with spatial and telemetry data collected along with the imagery, typically at higher altitudes and with consistent image overlap in the flight path sequence.
With MapKnitter the cartographer dynamically places each image and selects which images to include in the mosaic. Although the approaches are similar in that they use some type of additional information (usually pre-existing imagery of a lower resolution) as a reference, and that they are bound to specific cartographic elements such as map scale and map projection.
https://mapknitter.org
Docs: https://publiclab.org/wiki/mapknitter
📡 @NoGoolag
#maps #alternatives #aerial #drone #kite #satellite #earth #gmaps
is a free and open source tool for combining and positioning images (often from MapMill.org) in geographic space into a composite image map. Known as “orthorectification” or “georectification” to geographers, this step covers the process of figuring out where images can be placed on an existing map, and how they can be combined, or “stitched” together. You are likely to have many images of overlapping or identical areas, which is why MapMill or some type of sorting is used to determine which source images to use from the original set.
MapKnitter can make maps from any image source, but it particularly lends itself to making maps with balloons and kites. The manual process of making maps with MapKnitter differs greatly from automated aerial imaging systems. In those systems the imaging is of a higher precision and processed with spatial and telemetry data collected along with the imagery, typically at higher altitudes and with consistent image overlap in the flight path sequence.
With MapKnitter the cartographer dynamically places each image and selects which images to include in the mosaic. Although the approaches are similar in that they use some type of additional information (usually pre-existing imagery of a lower resolution) as a reference, and that they are bound to specific cartographic elements such as map scale and map projection.
https://mapknitter.org
Docs: https://publiclab.org/wiki/mapknitter
📡 @NoGoolag
#maps #alternatives #aerial #drone #kite #satellite #earth #gmaps
mapknitter.org
Make maps from aerial photos with Public Lab's free and open source web toolkit