References
- Andronache, I.; Fensholt, R.; Ahammer, H.; Ciobotaru, A.-M.; Pintilii, R.-D.; Peptenatu, D.; Drăghici, C.-C.; Diaconu, D.C.; Radulović, M.; Pulighe, G.; Azihou, A.F.; Toyi, M.S.; Sinsin, B. (2017) Assessment of Textural Differentiations in Forest Resources in Romania Using Fractal Analysis. Forests, 8(3), 54. https://doi.org/10.3390/f8030054
- Apostol, L.; Sfîcă L. (2011) Influence of the Siret River Corridor on wind conditions. Prace I Studia Geograficzne, 47, 483 – 491.
- Apostol, L.; Sfîcă L. (2013) Thermal differentiations induced by the Carpathian Mountains on the Romanian territory. Carpathian Journal of Earth and Environmental Sciences, 8(2), 215 – 221.
- Apostol, L.; Bărcăcianu, F.; Ichim, P.; Sfîcă, L. (2015) The thermal inversion phenomena on ground level and free atmosphere în the first 3000 m above Moldova, România. Advances în Environmental Sciences - AES Bioflux, 7(2), 196-204.
- Banerjee, K.; Panda S.; Bandyopadhyay J.; Jain M. (2014) Forest Canopy Density Mapping Using Advance Geospatial Technique. International Journal of Innovative Science, Engineering & Technology, 1(7), 358-363.
- Barbu, I.; Barbu, C.; Curca, M.; Ichim, V. (2016) Adaptarea pădurilor României la schimbările climatice. Ed. Silvica: Bucuresti, Romania; pp. 479.
- Chianucci, F.; Disperati, L.; Guzzi, D.; Bianchini, D.; Nardino, V.; Lastri, C.; Rindinella, A.; Corona, P. (2016) Estimation of canopy attributes în beech forests using true colour digital images from a small fixed-wing UAV. Int J Appl Earth Obs Geoinf, 47, 60–68. https://doi.org/10.1016/j.jag.2015.12.005
- Ciutea, A. (2017) Using Sentinel 2 satellite images for old-growth forest identification în the Fagaras Mountains. Jurnalul Est European de Sisteme Informationale Geografice și Teledetectie, 1(1).
- Ciutea, A.; Jitariu, V. (2020) Thermal inversions identification through the analysis of the vegetation inversions, occurred în the forest ecosystems from the eastern Carpathians. PESD, 14(2), 29-42. https://doi.org/10.15551/pesd2020142002
- Colomina, I.; Molina, P. (2014) Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS J Photogramm Remote Sens, 92, 79-97. https://doi.org/10.1016/j.isprsjprs.2014.02.013
- Connette, G.; Oswald, P.; Songer, M.; Leimgruber, P. (2016) Mapping Distinct Forest Types Improves Overall Forest Identification Based on Multi-Spectral Landsat Imagery for Myanmar’s Tanintharyi Region. Remote Sens, 8(11), 882. https://doi.org/10.3390/rs8110882
- Czapski, P.; Kacprzak, M.; Kotlarz, J.; Mrowiec, K.; Kubiak, K.; Tkaczyk, M. (2015) Preliminary analysis of the forest health state based on multispectral images acquired by Unmanned Aerial Vehicle. Folia For Pol, 57, 138–144. http://dx.doi.org/10.1515/ffp-2015-0014
- Dandois, J.P.; Ellis, E.C. (2010) Remote Sensing of Vegetation Structure Using Computer Vision. Remote Sens, 2(4), 1157–1176. https://doi.org/10.3390/rs2041157
- Dandois, J.P.; Ellis, E.C. (2013) High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision. Remote Sens Environ, 136, 259–276. https://doi.org/10.1016/j.rse.2013.04.005
- Delegido, J.; Verrelst, J.; Alonso, L.; Moreno, J. (2011) Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content. Sensors, 11(7), 7063-7081. https://doi.org/10.3390/s110707063
- Dezso, B.; Fekete, I.; Gera, D.; Giachetta, R.; László, I. (2012) Object-based image analysis în remote sensing applications using various segmentation techniques. Ann Univ Sci Budapest Sect Comp, 37, 103–120.
- Dincă, L.; Sparchez, G.; Dincă, M. (2014) Romanian’s forest soils GIS map and database and their ecological implications. Carpathian Journal of Earth and Environmental Sciences, 9(2), 133 – 142.
- Enea, A.; Iosub, M.; Stoleriu, C.; Ursu, A. (2018) The drone - a methodological tool, for generating base layers în GIS. 4th International Scientific Conference Geobalcanica, 2018, 513-520. http://dx.doi.org/10.18509/GBP.2018.56
- Feldmann, E.; Drößler, L.; Hauck, M.; Kucbel, S.; Pichler, V.; Leuschner, C. (2018) Canopy gap dynamics and tree understory release în a virgin beech forest, Slovakian Carpathians. For Ecol Manag, 415–416, 38–46. https://doi.org/10.1016/j.foreco.2018.02.022
- Fernandes R., Omari K., Canisius F., Lethbridge U., Rochdi N., Baret F. (2010) Robust LAI Retrieval from the Sentinel-2 Red-Edge Bands, CCRS Technical Report Series.
- Frampton, W.; Dash, J.; Watmough, G.; Milton, E. (2013) Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation. ISPRS J Photogram Remote Sens, 82, 83-92. https://doi.org/10.1016/j.isprsjprs.2013.04.007
- Getzin, S.; Wiegand, K.; Schöning, I. (2012) Assessing biodiversity în forests using very high-resolution images and unmanned aerial vehicles. Methods Ecol Evol, 3, 397–404. https://doi.org/10.1111/j.2041-210X.2011.00158.x
- Lisein, J.; Michez, A.; Claessens, H.; Lejeune, P. (2015) Discrimination of deciduous tree species from time series of unmanned aerial system imagery. PLoS ONE, 10(11), e0141006. https://doi.org/10.1371/journal.pone.0141006
- Hansen, M.C.; Potapov, P.V.; Moore, R.; Hancher, M.; Turubanova, S.A.; Tyukavina, A.; Thau, D.; Stehman, S.V.; Goetz, S.J.; Loveland, T.R.; Kommareddy, A.; Egorov, A.; Chini, L.; Justice, C.O.; Townshend, J. (2013) High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342(6160), 850-853. https://doi.org/10.1126/science.124469
- Lyons, M.B.; Keith, D.A.; Phinn, S.R.; Mason, T.J.; Elith, J. (2018) A comparison of resampling methods for remote sensing classification and accuracy assessment. Remote Sens Environ, 208, 145–153. https://doi.org/10.1016/j.rse.2018.02.026
- Mingbo., L.; Cao, C.; Dang, Y.; Ni, X. (2019) Mapping Forest Canopy Height in Mountainous Areas Using ZiYuan-3 Stereo Images and Landsat Data. Forests, 10(2), 105. https://doi.org/10.3390/f10020105
- Mueller-Wilm U. (2016) Sen2Cor Configuration and User Manual.
- Ursu, A.; Stoleriu, C.; Ion, C.; Jitariu, V. (2020) Romanian Natura 2000 Network: Evaluation of the Threats and Pressures through the Corine Land Cover Dataset. Remote Sensing, 12(13), 2075. http://dx.doi.org/10.3390/rs12132075
- Ursu, A.; Jitariu, V.; Ciutea, A. (2017) Estimating the Impact of Human Activities on the Environment in Moldova Region (HI Index), PESD, (11)2, 129-140. http://dx.doi.org/10.1515/pesd-2017-0031
- Zhang, J.; Hu, J., Lian, J.; Fan, Z.; Ouyang, X.; Ye,W. (2016) Seeing the forest from drones: Testing the potential of lightweight drones as a tool for long-term forest monitoring. Biol Conserv, 198, 60–69. https://doi.org/10.1016/j.biocon.2016.03.027
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