Assessment of the Suitability of Spectral Indices for Detecting Areas of Increased Stress among Plants – A Case Study of the Botanical Garden in Kielce

[1] Neupane K., Baysal-Gurel F.: Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review, Remote Sens (Basel), vol. 13, no. 19, 2021, doi: 10.3390/rs13193841. Search in Google Scholar

[2] Stupen R., Ryzhok Z., Stupen N., Stupen O.: The modeling of the yielding capacity of winter cereals due to satellite monitoring data of agricultural lands in Ukraine, Geodesy and Cartography, vol. 47, no. 1, pp. 1-9, 2021, doi: 10.3846/gac.2021.11740. Search in Google Scholar

[3] Radoglou-Grammatikis P., Sarigiannidis P., Lagkas T., Moscholios I.: A compilation of UAV applications for precision agriculture, Computer Networks, vol. 172, 2020, doi: 10.1016/j.comnet.2020.107148. Search in Google Scholar

[4] Marzec P.: Wykorzystanie wskaźników spektralnych do monitoringu stresu roślin na terenie ogrodu botanicznego w Kielcach, Master Thesis, Kielce University of Technology, 2022. Search in Google Scholar

[5] Vanegas F., Bratanov D., Powell K., Weiss J., Gonzalez F.: A novel methodology for improving plant pest surveillance in vineyards and crops using UAV-based hyperspectral and spatial data, Sensors (Switzerland), vol. 18, no. 1, pp. 1-21, 2018, doi: 10.3390/s18010260. Search in Google Scholar

[6] Hunt E.R., Dean Hively W., Fujikawa S.J., Linden D.S., Daughtry C.S.T., McCarty G.W.: Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring, Remote Sens (Basel), vol. 2, no. 1, pp. 290-305, 2010, doi: 10.3390/rs2010290. Search in Google Scholar

[7] Mularz S., Drzewiecki W., Pirowski T.: Teledetekcyjne metody rejestracji krajobrazu, Roczniki Geomatyki, vol. V, no. 8, pp. 67-80, 2007. Search in Google Scholar

[8] Warchoł A.: Analiza dokładności przestrzennej danych z lotniczego, naziemnego i mobilnego skaningu laserowego jako wstęp do ich integracji, Archiwum Fotogrametrii, Kartografii i Teledetekcji, vol. 25, pp. 255-260, 2013. Search in Google Scholar

[9] Smith P.: The challenge for botanic garden science, Plants People Planet, vol. 1, no. 1, pp. 38-43, 2019, doi: 10.1002/ppp3.10. Search in Google Scholar

[10] Drzewiecki W.: Land-Use / Land Cover Monitoring Based on Multitemporal Remote Sensing Images, Roczniki Geomatyki, vol. VI, no. 3, pp. 132-142, 2008. Search in Google Scholar

[11] Velusamy P., Rajendran S., Mahendran R.K., Naseer S., Shafiq M., Choi J.-G.: Unmanned Aerial Vehicles (UAV) in Precision Agriculture: Applications and Challenges, Energies (Basel), vol. 15, no. 217, pp. 1-19, 2022, doi: https://doi.org/10.3390/en15010217. Search in Google Scholar

[12] Balawejder M., Matkowska K., Colak H.E.: The Impact of Surveying Works on the Development of Smart City, Geographic Information Systems Conference and Exhibition “GIS ODYSSEY 2018”, no. 2623-5714, pp. 20-32, 2018. Search in Google Scholar

[13] Hejmanowska B., Twardowski M., Żądło A.: An application of the “traffic lights” idea to crop control in integrated administration control system, Geomatics and Environmental Engineering, vol. 15, no. 4, pp. 129-152, 2021, doi: 10.7494/geom.2021.15.4.129. Search in Google Scholar

[14] Sagan V. et al.: UAV/Satellite multiscale data fusion for crop monitoring and early stress detection, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 42, no. 2/W13, pp. 715-722, 2019, doi: 10.5194/isprs-archives-XLII-2-W13-715-2019. Search in Google Scholar

[15] Curnel Y., Oger R.: Agrophenology Indicators From Remote Sensing: State of the Art, Isprs.Org, pp. 31-38, 2007, [Online]. Available: http://www.isprs.org/proceedings/XXXVI/8-W48/31_XXXVI-8-W48.pdf. Search in Google Scholar

[16] Luo D. et al.: Using UAV image data to monitor the effects of different nitrogen application rates on tea quality, J Sci Food Agric, vol. 102, no. 4, pp. 1540-1549, 2022, doi: 10.1002/jsfa.11489. Search in Google Scholar

[17] Scher C.L. et al.: Application of remote sensing technology to estimate productivity and assess phylogenetic heritability, Appl Plant Sci, vol. 8, no. 11, pp. 1-14, 2020, doi: 10.1002/aps3.11401. Search in Google Scholar

[18] Rafa N., Nuzhat S., Uddin S.M.N., Gupta M., Rakshit R.: Ecotourism as a forest conservation tool: An ndvi analysis of the sitakunda botanical garden and ecopark in chattogram, bangladesh, Sustainability, vol. 13, no. 21, 2021, doi: 10.3390/su132112190. Search in Google Scholar

[19] Minh Chinh L.: Using Satellite Images To Retrieve the River Turbidity and Water Flow Velocity for Monitoring Their Influences on Bridge Substructures, Structure and Environment, vol. 15, no. 2, pp. 63-72, 2023, doi: 10.30540/sae-2023-006. Search in Google Scholar

[20] Backoulou F.G., Elliott N., Giles K., Alves T., Brewer M., Starek M.: Using multispectral imagery to map spatially variable sugarcane aphid infestations in sorghum, Southwest. Entomol, vol. 43, pp. 37-44, 2018, doi: https://doi.org/10.3958/059.043.0122. Search in Google Scholar

[21] Feng L., Chen S., Zhang C., Zhang Y., He Y.: A comprehensive review on recent applications of unmanned aerial vehicle remote sensing with various sensors for high-throughput plant phenotyping, Comput Electron Agric, vol. 182, 2021, doi: 10.1016/j.compag.2021.106033. Search in Google Scholar

[22] Liang H., Li W., Lai S., Zhu L., Jiang W., Zhang Q.: The integration of terrestrial laser scanning and terrestrial and unmanned aerial vehicle digital photogrammetry for the documentation of Chinese classical gardens – A case study of Huanxiu Shanzhuang, Suzhou, China, J Cult Herit, vol. 33, pp. 222-230, 2018, doi: 10.1016/j.culher.2018.03.004. Search in Google Scholar

[23] Hajdukiewicz M., Romanyshyn I.: An accuracy assessment of spot heights on Digital Elevation Model (DEM) derived from ALS survey: case study of Łysica massif, Structure and Environment, vol. 9, no. 2, pp. 125-132, 2016. Search in Google Scholar

[24] Zhang Y., Song C., Sun G., Band L.E., Noormets A., Zhang Q.: Understanding moisture stress on light use efficiency across terrestrial ecosystems based on global flux and remote-sensing data, J Geophys Res Biogeosci, vol. 120, no. 10, pp. 2053-2066, 2015, doi: 10.1002/2015JG003023. Search in Google Scholar

[25] Geonatura Kielce – Botanical Garden website. Accessed: Nov. 20, 2022. [Online]. Available: https://geonaturakielce.pl/ogrodbotaniczny/informacje-ogolne/. Search in Google Scholar

[26] Sobura S.: Calibration of the Low-Cost Uav Camera on a Spatial Test Field, Geodesy and Cartography, vol. 48, no. 3, pp. 134-143, 2022, doi: 10.3846/gac.2022.16215. Search in Google Scholar

[27] Micasense producer website. Accessed: Nov. 20, 2022. [Online]. Available: https://support.micasense.com/hc/en-us. Search in Google Scholar

[28] Sobura S., Hejmanowska B., Widłak M., Muszyńska J.: The Application of Remote Sensing Techniques and Spectral Analyzes to Assess the Content of Heavy Metals in Soil – A Case Study of Barania Góra Reserve, Poland, Geomatics and Environmental Engineering, vol. 16, no. 4, pp. 187-213, 2022, doi: 10.7494/geom.2022.16.4.187. Search in Google Scholar

[29] Pyka K.: Wavelet-based local contrast enhancement for satellite, aerial and close range images, Remote Sens (Basel), vol. 9, no. 1, 2017, doi: 10.3390/rs9010025. Search in Google Scholar