Scientific articles

  • Year 2019

    1. Gulbe, L., Kozlovs, A., Donis, J., Traskovs, A.  Tree cover mapping using hybrid fuzzy c-means method and multispectral satellite images. Baltic Forestry 25(1), pp. 113-123 Scopus, Web of Science
    2. Upnere, S., Jekabsons, N., Gulbe, L., Bezrukovs, V., Bezrukovs, V. Simulation of the flow field over the coastal terrain. 2019, Lecture Notes in Mechanical Engineering Part F6, pp. 400-407 ; ISSN: 21954356;  DOI: 10.1007/978-981-13-2273-0_31 ,  https://link.springer.com/chapter/10.1007%2F978-981-13-2273-0_31    Scopus

  • Year 2017

    1. Gulbe, V. Caune & G. Korats “Urban area thermal monitoring: Liepaja case study using satellite and aerial thermal data”. International Journal of Applied Earth Observation and Geoinformation, 63, 45-54, 2017.005   Scopus, Web of Science, EBSCO, Science Direct
    2. Stepchenko, A. Land cover classification based on MODIS imagery data using artificial neural networks.  11th International Scientific and Practical Conference on Environment. Technology. Resources; Rezekne Academy of Technologies, Faculty of EngineeringRezekne; Latvia; 15 June 2017 through 17 June 2017. Vide. Tehnologija. Resursi - Environment, Technology, Resources. Volume 2, 2017, Pages 159-164, DOI: 10.17770/etr2017vol2.2545  Scopus 

  • Year 2016

    1. Gulbe, G. Korāts “Semi-Automatic Selection of Ground Control Points for High Resolution Remote Sensing Data in Urban Areas”. Applied Computer Systems, 20, 21.-26, 2016.Web of Science
    2. Lang, L. Gulbe, A. Traškovs & A. Stepčenko “Assessment of Different Estimation Algorithms and Remote Sensing Data Sources for Regional Level Wood Volume Mapping in Hemiboreal Mixed Forests”. BALTIC FORESTRY, 22(2), 283-296, 2016.Scopus, Web of Science
    3. Upnere, S.,  Jekabsons, N., Locans, U.  2016. Smooth Tracking Trajectory Generation of Large Antenna.  Latvian Journal of Physics and Technical Sciences. Vol 53 (1), pp. 24-33.  Scopus, Web of Science, EBSCO
    4. Stepchenko & J. Chizhov “Markov Chain Modelling for Short-Term NDVI Time Series Forecasting”. Information Technology and Management Science, 19, 39-44, 2016.
    5. Stepchenko “NDVI index forecasting using a layer recurrent neural network coupled with stepwise regression and the PCA”. In: Proceedings in Conference of Informatics and Management Sciences, 5, No. 1, 130-135, 2016.

  • Year 2015

    1. Gulbe “Identification and delineation of individual tree crowns using Lidar and multispectral data”, IGARSS 2015, Conference Proceedings, 2015.Web of Science, Scopus
    2.  Stepchenko, A., Chizhov, J. NDVI short-term forecasting using recurrent neural networks. Vide. Tehnologija. Resursi - Environment, Technology, Resources 3, 2015, pp. 180-185   Scopus 

  • Year 2014

    1. Gulbe “Automatic Template Generation For Individual Tree Identification in Remote Sensing Data Using (1+1) Evolutionary Algorithm”. 14th International Multidisciplinary Scientific GeoConference: GEOINFORMATICS AND REMOTE SENSING. Conference Proceedings, 3, p. 63-70, 2014.Web of Science, Scopus, EBSCO
    2. Gulbe, G. Hilkevica “Vegetation Change Detection In Landsat TM Time Series Using Singular Spectrum Analysis and Regular Forest Inventory Data”. 14th International Multidisciplinary Scientific GeoConference: GEOINFORMATICS AND REMOTE SENSING. Conference Proceedings, 3, p. 397-404, 2014.Web of Science, Scopus, EBSCO

  • Year 2013

    1. Gulbe, I. Mednieks “Automatic Identification of Individual Tree Crowns in Mixed Forests Using Fusion of LIDAR and Multispectral Data”, Scientific Journal of Riga Technical University. Technologies of Computer Control, Volume 14: 93-99, 2013.
    2. Traškovs “Prediction creation for the period of 2012 – 2025 of Kurzeme region forests”. “Boundary Field Problems and Computer Simulation”, vol. 52, pp. 26 – 31, 2013.
    3. Lang, A. Traškovs & L. Gulbe “Assessment of NTSG MODIS NPP product for forests in Kurzeme region, Latvia”, Metsanduslikud uurimused, Forestry studies, 58: 26 – 36, 2013.Scopus, EBSCO

  • Year 2012

    1. Gulbe, I. Jaunzeme & K. Zālīte „Estimation of forest inventory parameters using k-nearest neighbors method”, Space Research Review, 1, 170 – 182, 2012, Engineering ResearchInstitute Ventspils International Radio astronomy centre of the Ventspils University College.
    2. Zalite, I. Jaunzeme “CORINE land cover change detection in Latvia”. Engineering Research Institute “Ventspils International Radio Astronomy Centre” of Ventspils University College, „Space Research Review”, 1, 126 – 130, 2012.
    3. Zalite, J. Kalvans, D. Samite & S. Rusina “Use of remotely sensed data and vegetation indices for post-fire vegetation regeneration observations in a boreal mire complex”. Engineering Research Institute “Ventspils International Radio Astronomy Centre” of Ventspils University College, „Space Research Review”, 1, 131 – 138, 2012.