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| LFTools | |
|---|---|
 | |
| Developer | Leandro França |
| Release | March 12, 2021 |
| Written in | Python |
| Platform | QGIS |
| Type | Geographic information system plugin |
| License | GNU General Public License |
| Website | plugins |
LFTools (also styled LF Tools) is an open-source plugin for the QGIS geographic information system developed by Brazilian cartographic engineer Leandro França. Released in 2021, the plugin provides tools for cartographic production, surveying, drone mapping, GNSS data processing, geospatial database management, digital image processing, and spatial analysis.[1]
The software is written in Python and distributed through the official QGIS plugin repository. By September 2026, the repository recorded more than 400,000 downloads of the plugin.[1]
History and development
[edit]LFTools was first released through the official QGIS plugin repository on 12 March 2021.[1]
In 2021, LFTools was used with the TopoGeo data model in research presented at the XXII Brazilian Symposium on Geoinformatics. The study described the use of the plugin for the automated production of cadastral surveying documents.[2]
In December 2024, LFTools was presented at the international FOSS4G conference in Belém, Brazil, in a session titled Plugin LFTools – A "Made in Brazil" Geospatial Solution!. The presentation covered applications of the software in surveying, land administration, engineering, and environmental studies.[3]
Applications
[edit]LFTools has been utilized as a methodological tool in scientific research across several disciplines, including photogrammetry, remote sensing, agriculture, GNSS surveying, cartography, and geomorphology.
A 2024 study published in Applied Sciences used LFTools to correct the georeferencing of UAV-derived orthomosaics in agroforestry systems in the Brazilian Caatinga. Ground control points were processed in QGIS before vegetation indices and forage production parameters were analyzed.[4]
Another 2024 study, published in Agriculture, employed the plugin to correct georeferencing discrepancies in UAV orthomosaics used to estimate biophysical parameters of forage cactus from RGB imagery and machine-learning techniques.[5]
In 2025, a study published in Cuadernos Geográficos utilized LFTools to correct coordinates obtained from GNSS-RTK surveying during the spatial mapping of a riverside community in the Brazilian Amazon.[6]
A 2025 study in Observatório de la Economía Latinoamericana applied LFTools in an analysis of river-channel width based on lidar data and CBERS satellite imagery, using its capabilities for elevation-profile operations and channel geometry construction.[7]
In 2026, a paper published in the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences detailed the mathematical modelling and computational validation of confidence ellipses implemented directly within LFTools.[8]
Institutional and educational use
[edit]The QGIS 2025 Manual published by the Instituto Água e Terra of Paraná includes instructions for installing LFTools and uses its Azimuth and Distance tool in technical procedures for reconstructing land property descriptions.[9]
Educational training material published by the Civil Defense authority of Espírito Santo also incorporates LFTools in QGIS procedures for importing geotagged field photographs and generating KML files with embedded images.[10]
Recognition
[edit]In July 2026, LFTools received the Bronze Award at CATCON 9 (Computer Assisted Teaching Contest), held during the XXV Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS) in Toronto, Canada.[11] The software was entered in the competition as LFTools: An Open-Source Educational Geospatial Toolkit for Computer Assisted Teaching in Surveying and Geomatics using the QGIS Platform.[11]
The international recognition and the project's development were reported in independent coverage by the geospatial trade publication MundoGEO,[12] as well as in institutional news coverage by the Federal University of Pernambuco (UFPE).[13]
See also
[edit]External links
[edit]- 1 2 3 "LF Tools". QGIS Python Plugins Repository. Retrieved 11 September 2026.
- ↑ França, Leandro L. S.; Pinheiro, Julierme; Passos, Joel B.; Portugal, José Luiz (2021). TopoGeo: a data model for elaboration of cadastral survey plans and land register documents. XXII Brazilian Symposium on Geoinformatics. pp. 13–25.
- ↑ "Plugin LFTools - A "Made in Brazil" Geospatial Solution!". FOSS4G 2024. 5 December 2024. Retrieved 11 September 2026.
- ↑ Santos, Wagner Martins dos; Costa, Claudenilde de Jesus Pinheiro; Medeiros, Maria Luana da Silva; Jardim, Alexandre Maniçoba da Rosa Ferraz (2024). "Can Unmanned Aerial Vehicle Images Be Used to Estimate Forage Production Parameters in Agroforestry Systems in the Caatinga?". Applied Sciences. 14 (11): 4896. doi:10.3390/app14114896.
- ↑ Silva, Gabriel Italo Novaes da; Jardim, Alexandre Maniçoba da Rosa Ferraz; Santos, Wagner Martins dos; Bezerra, Alan Cézar; Alba, Elisiane (2024). "Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB Images Acquired with Unmanned Aerial Vehicles". Agriculture. 14 (12): 2166. Bibcode:2024Agric..14.2166S. doi:10.3390/agriculture14122166.
- ↑ Ventorini, Silvia Elena; Figueiredo, Múcio do Amaral; Teixeira, Ana Luísa; Rocha, Leonardo Cristian (2025). "Space-Time Mapping in a Riverside Community in the Amazon". Cuadernos Geográficos. 64 (1): 282–314. doi:10.30827/cuadgeo.v64i1.31391.
- ↑ Amaral, Mariza Aparecida Duda do; Lima, Adalto Gonçalves (2025). "Determinação da largura de canal fluvial: estudo comparativo com dados LIDAR e CBERS 4". Observatório de la Economía Latinoamericana. 23 (7): e10676. doi:10.55905/oelv23n7-083.
- ↑ França, Leandro; Silvano, Tiago; Gavazza, Savia; Sato, Simone (2026). "Mathematical Modelling of Confidence Ellipses and Computational Validation of their Implementation in the LFTools Plugin: A Case Study Using GWDBrazil". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XI-4-2026: 171–177. Bibcode:2026ISPAn.114..171F. doi:10.5194/isprs-annals-XI-4-2026-171-2026.
- ↑ "Manual QGIS 2025" (PDF). Instituto Água e Terra do Paraná. 2025. Retrieved 11 September 2026.
- ↑ "Apresentação CEPDEC 2025 – Google Earth" (PDF). Defesa Civil do Estado do Espírito Santo. 2025. Retrieved 11 September 2026.
- 1 2 "CATCON 9". International Society for Photogrammetry and Remote Sensing. Retrieved 11 September 2026.
- ↑ "Ciência brasileira conquista reconhecimento internacional no Congresso ISPRS 2026, em Toronto". MundoGEO. 21 July 2026. Retrieved 11 September 2026.
- ↑ "Doutorando da UFPE conquista prêmio em congresso mundial de geoinformação". Universidade Federal de Pernambuco. 2026. Retrieved 11 September 2026.