Kalnins Y.R., Pakalnite I. (2011). Singular value decomposition of images with the simple elements. – “Computer Modelling and New Technologies”, 2011, vol. 15, No. 1, pp. 49 – 54. Raksts pieejams internetā: http://www.cmnt.lv/upload-files/ns_3915_1_cmnt2011.pdf .

Zalite K., Jaunzeme I. (2012a). CORINE land cover change detection in Latvia. – Engineering Research Institute “Ventspils International Radio Astronomy Centre” of Ventspils University College, „Space Research Review”, 2012, vol. 1, pp. 126 – 130.

Zalite K., Kalvans J., Samite D., Rusina S. (2012). 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”, 2012, vol. 1, pp. 131 – 138.

Lang M., Traškovs A., Gulbe L. (2013). Assessment of NTSG MODIS NPP product for forests in Kurzeme region, Latvia. – “Forestry Studies”, 2013, vol. 58, pp. 26 – 33. Pieejams internetā: http://www.scopus.com/record/display.url?eid=2-s2.0-84897396828&origin=AuthorNamesList&txGid=1AE3B764D5A3205747F6B2B20B482F0A.aqHV0EoE4xlIF3hgVWgA%3a37 .

Gulbe L., Mednieks I. (2013). Automatic identification of individual tree crowns in mixed forests using fusion of LIDAR and multispectral data. – “Technologies of Computer Control”, 2013, vol. 14, pp. 93 – 99.

Traškovs A. (2013). Prediction creation for the period of 2012 – 2025 of Kurzeme region forests. – “Boundary Field Problems and Computer Simulation”, 2013, vol. 52, pp. 26 – 31.

Gulbe L., Hilkevica G. (2014a). 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, vol. 3, Section: Photogrammetry and Remote Sensing, pp. 397 – 404, 2014.

Gulbe L. (2014b). 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, vol. 3, Section: Photogrammetry and Remote Sensing, 2014, pp. 63 – 70.

Gulbe L., Lang M., Traškovs A., Stepčenko A. (2015). Assessment of different estimation algorithms and remote sensing data sources for regional level stem volume mapping in mixed forests. – “Baltic Forestry”, 2015, submitted.

Gulbe L., Jaunzeme I., Zālīte K. (2012). Estimation of forest inventory parameters using the k – Nearest Neighbours method. – Engineering Research Institute “Ventspils International Radio Astronomy Centre” of Ventspils University College, „Space Research Review”, 2012, vol. 1, pp. 170 – 182.