A feature extraction software tool for object-based image analysis, and it is designed to work with land use/land cover databases in order to help in the process of classification of the existing parcels, or also to determine the changes that have occurred in a database comparing the current classified image with the old database. It has been applied in the feature extraction phase in several updating land use/land cover cartography processes.
In the following documents you will find a thorough description of the software, the type of variables that can be computed, the interface and an application example. The first is available through Elsevier: The second and third contain a brief description of the software in Spanish and English, respectively, and they can be downloaded directly.
Ruiz, L.A., Recio, J.A., Fernández-Sarría, A., Hermosilla, T., 2011. A feature extraction software tool for agricultural object-based image analysis. Computers and Electronics in Agriculture, 76 (2), pp. 284-296.
- Download the “fetex2.rar” file. A sample dataset is also included for testing purposes.
- Unrar “fetex2.rar” and move “fetex2.sav” file into the saveadd directory (c:\RSI\IDLxx\products\ENVIxx\save_add\ or c:\Program Files\ITT\IDLxx\products\envixx\save_add\, depending on the ENVI version).
- Run ENVI + IDL (ENVI 4.2 or superior).
- In the Command Input bar write “fetex2” and press enter.
- Load the imagery and the shapefiles, choose the descriptive features, the output files, select the methodological parameters and start processing
Note: This demo version of FETEX 2.0 is limited to 1,000 objects. For any doubt or further information, please contact to software @ cgat.upv.es.
A processing tool used for the extraction of landscape metrics from LULC data. This software uses data in vector format, and computes a set of fragmentation indices that can be categorised into five semantic groups according to the measured properties: area and perimeter, shape, aggregation, diversity, and contrast. The metrics are calculated and referred to cartographic objects at several hierarchical levels: object, class and super-object. The application to datasets of different periods allows for the analysis of changes in terms of fragmentation and urban morphology.
Sapena, M., Ruiz, L.A. 2015. Description and extraction of urban fragmentation indices: The Indifrag tool. Revista de Teledetección, [S.l.], n. 43, pp. 77-90. ISSN 1988-8740. doi:http://dx.doi.org/10.4995/raet.2015.3476.
Sapena, M., Ruiz, L.A. 2015. Analysis of urban development by means of multi-temporal fragmentation metrics from LULC data. ISPRS Archives: 36th International Symposium on Remote Sensing of Environment (Volume XL-7/W3), 11-15 May. Berlin, Germany. pp. 1411-1418. doi:10.5194/isprsarchives-XL-7-W3-1411-2015
- Complete User Guide (ES)
- Brief User Guide (EN)
- Tutorial step by step (EN)
- Summary Table with the included Metrics (EN)
Note: For any doubt or further information, please contact to software @ cgat.upv.es.
A semi-automatic tool, C-Pro (Coastal Projector), for extracting the shoreline and monitoring their dynamism in different areas at a very low cost. The tool requires terrestrial photography and at least three perfectly identifiable control points. The rigorous repositioning of the camera is achieved by including the geometric condition of the horizon line in the colinear adjustment. The image is then projected on a geo-referenced map. The accuracy of C-Pro was tested at different beaches, comparing the obtained shoreline against other lines measured by GPS-RTK techniques.
Sánchez-García, E., Pardo-Pascual, J.E., Balaguer-Beser, A., Almonacid-Caballer, J., 2015. Monitorización de espacios costeros mediante un sistema fotogramétrico: C-Pro. Actas del XVI Congreso Nacional de la Asociación Española de Teledetección, 21-23 Oct., 2015, Sevilla. ISBN: 978-84-608-1726-0.281-284
Sánchez-García, E., Balaguer-Beser, A., Pardo-Pascual, J.E., 2017. C-Pro: A coastal projector monitoring system using terrestrial photogrammetry with a geometric horizon constraint. ISPRS Journal of Photogrammetry and Remote Sensing, 128, pp. 255-273, doi: http://dx.doi.org/10.1016/j.isprsjprs.2017.03.023
Software tool for LiDAR data preprocessing, generation of terrain models, feature extraction, creation and testing of forest attribute prediction models.
Description document in spanish (pdf)
User guide in spanish (pdf)
Setup directions (pdf)
Shoreline Extraction from Landsat Imagery: Automated subpixel shoreline extraction software from Landsat series with RMSE=5 m. It provides a continuous set of land/water points located every 7.5 m along the coast, and operates in three steps: (1) First rough delineation of coastline at pixel level; (2) automated subpixel extraction; and (3) automated subpixel georeferencing.
Pardo-Pascual, J.E., Almonacid-Caballer, J., Ruiz, L.A., Palomar-Vázquez, J., 2012. Automatic extraction of shorelines from Landsat TM and ETM multi-temporal images with subpixel precision. Remote Sensing of Environment, 123, pp. 1-11. doi:10.1016/j.rse.2012.02.024
Waveform LiDAR for Forestry eXtraction (WoLFeX) is a software tool developed for processing full-waveform LiDAR data. It allows for clipping, calibrating radiometrically, and extracting metrics based on voxelization from full-waveform LiDAR data.
Crespo-Peremarch, P., Ruiz, L.A., 2020. A full-waveform airborne laser scanning metric extraction tool for forest structure modelling. Do scan angle and radiometric correction matter? Remote Sensing, 12(2), 292. doi: 10.3390/rs12020292
User guide in English (pdf)
Note: For any doubt or further information, please contact to software @ cgat.upv.es