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Ivan Lizarazo
Ivan Lizarazo
Professor in Geomatics at UNAL - PrincipaI Investigator at SDGnexus Network
Verified email at unal.edu.co - Homepage
Title
Cited by
Cited by
Year
Assessment of potato late blight from UAV-based multispectral imagery
J Rodriguez, I Lizarazo, F Prieto, V Angulo-Morales
Computers and Electronics in Agriculture 184, 106061, 2021
752021
SVM‐based segmentation and classification of remotely sensed data
I Lizarazo
International Journal of Remote Sensing 29 (24), 7277-7283, 2008
732008
Accuracy assessment of object-based image classification: another STEP
I Lizarazo
International Journal of Remote Sensing 35 (16), 6135-6156, 2014
682014
Fuzzy segmentation for object‐based image classification
I Lizarazo, P Elsner
International Journal of Remote Sensing 30 (6), 1643-1649, 2009
632009
Automatic mapping of land surface elevation changes from UAV-based imagery
I Lizarazo, V Angulo, J Rodríguez
International Journal of Remote Sensing 38 (7), 1-20, 2017
492017
Aplicaciones de la agricultura de precisión en palma de aceite “Elaeis Guineensis” e hibrido O x G
I Lizarazo, O Alfonso
Revista de Ingeniería, 124-130, 2011
41*2011
Fuzzy image segmentation for urban land-cover classification
I Lizarazo, J Barros
Photogrammetric Engineering & Remote Sensing 76 (2), 151-162, 2010
392010
Quantitative land cover change analysis using fuzzy segmentation
I Lizarazo
International Journal of Applied Earth Observation and Geoinformation 15, 16-27, 2012
342012
Identification of symptoms related to potato Verticillium wilt from UAV-based multispectral imagery using an ensemble of gradient boosting machines
I Lizarazo, JL Rodriguez, O Cristancho, F Olaya, M Duarte, F Prieto
Smart Agricultural Technology 3, 100138, 2023
322023
Estimación del volumen de madera en árboles mediante polinomio único de ahusamiento
O Riaño Melo, I Lizarazo
Colombia forestal 20 (1), 55-62, 2017
282017
Fusión de imágenes satelitales usando la transformada de wavelet
J Medina, I Lizarazo
Universidad Distrital, 2004
232004
Clasificación de la cobertura y del uso del suelo urbano usando imágenes de satélite y algoritmos supervisados de inteligencia artificial
I Lizarazo
UD y la Geomática, 4-18, 2008
222008
Segmentation of remotely sensed imagery: moving from sharp objects to fuzzy regions
I Lizarazo, P Elsner
Image Segmentation, 2011
202011
Fuzzy image regions for estimation of impervious surface areas
I Lizarazo
Remote Sensing Letters 1 (1), 19-27, 2010
172010
Evaluación de las redes neuronales artificiales Perceptrón Multicapa y Fuzzy ART-MAP en la clasificación de imágenes satelitales
G Toro, I Lizarazo
Ingeniería 17 (1), 2012
142012
Urban land cover and land use classification using high spatial resolution images and spatial metrics
I Lizarazo
Center for Remote Sensing of Land Surfaces 28, 30, 2006
142006
Estimación de biomasa aérea de Eucalyptus grandis y Pinus spp usando imágenes Sentinel1A y Sentinel2A en Colombia
AL Tovar Blanco, IA Lizarazo Salcedo, N Rodríguez Eraso
Colombia forestal 23 (1), 79-93, 2020
122020
Fuzzy regions for handling uncertainty in remote sensing image segmentation
I Lizarazo, P Elsner
International Conference on Computational Science and Its Applications, 724-739, 2008
112008
Detecting and tracking mesoscale precipitating objects using machine learning algorithms
S Ramirez, I Lizarazo
International journal of remote sensing 38 (18), 5045-5068, 2017
102017
Nuevo índice espectro-temporal para la detección de pérdida forestal en áreas de bosque tropical. Caso de estudio Amazonia colombiana
JL Hurtado-Abril, I Lizarazo
Revista cartográfica, 11-35, 2022
82022
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Articles 1–20