Читать книгу Urban Remote Sensing - Группа авторов - Страница 68
REFERENCES
Оглавление1 Adam, E., Mutanga, O. and Rugege, D. (2010) Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review. Wetlands Ecology and Management, 18(3), 281–296.
2 Agüera‐Vega, F., Carvajal‐Ramírez, F. and Martínez‐Carricondo, P. (2017) Accuracy of digital surface models and orthophotos derived from unmanned aerial vehicle photogrammetry. Journal of Surveying Engineering, 143(2), 1–10.
3 Aktas, Y., Ozdemir, U., Dereli, Y. et al. (2016) Rapid prototyping of a fixed‐wing VTOL UAV for design testing. Journal of Intelligent & Robotic Systems, 84 (1–4), 639–664.
4 Al Shibli, M. (2015) Towards global unification of UAS standardization: regulations, systems, airworthiness, aerospace control, operation, crew licensing and training. International Journal of Unmanned Systems Engineering, 3(2), 32–74.
5 Alidoost, F. and Arefi, H. (2017) Comparison of UAS‐based photogrammetry software for 3d point cloud generation: a survey over a historical site. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4(4), 55–61.
6 Aljehani, M. and Inoue, M. (2019) Safe map generation after a disaster, assisted by an unmanned aerial vehicle tracking system. IEEJ Transactions on Electrical and Electronic Engineering, 14(2), 271–282.
7 Anderson, K. and Gaston, K.J. (2013) Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Frontiers in Ecology and the Environment, 11(3), 138–146.
8 Ban, Y., Jacob, A. and Gamba, P. (2015) Spaceborne SAR data for global urban mapping at 30 m resolution using a robust urban extractor. ISPRS Journal of Photogrammetry and Remote Sensing, 103, 28–37.
9 Barbasiewicz, A., Widerski, T. and Daliga, K. (2018) The analysis of the accuracy of spatial models using photogrammetric software: Agisoft Photoscan and Pix4D. E3S Web of Conferences, 26, 00012.
10 Benediktsson, J.A., Palmason, J.A. and Sveinsson, J.R. (2005) Classification of hyperspectral data from urban areas based on extended morphological profiles. IEEE Transactions on Geoscience and Remote Sensing, 43(3), 480–491.
11 Berni, J.A.J., Zarco‐Tejada, P., Suárez, L. and Fereres, E. (2009) Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing, 47(3), 722–738.
12 Besada, J.A., Bergesio, L., Campaña, I. et al. (2018) Drone mission definition and implementation for automated infrastructure inspection using airborne sensors. Sensors, 18(4), 1170.
13 Boonpook, W., Tan, Y., Liu, H., Zhao, B. and He, L. (2018) UAV‐based 3d urban environment monitoring. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, 4(3), 37–43.
14 Boukoberine, M.N., Zhou, Z. and Benbouzid, M. (2019) A critical review on unmanned aerial vehicles power supply and energy management: solutions, strategies, and prospects. Applied Energy, 255, 113823.
15 Brach, M., Cheung‐Wai Chan, J. and Szymański, P. (2019) Accuracy assessment of different photogrammetric software for processing data from low‐cost UAV platforms in forest conditions. iForest ‐ Biogeosciences & Forestry, 12(5), 435–441.
16 Bravo, R.Z.B., Leiras, A. and Cyrino Oliveira, F.L. (2019) The use of UAVs in humanitarian relief: an application of POMDP‐based methodology for finding victims. Production & Operations Management, 28(2), 421–440.
17 Calderón, R., Montes‐Borrego, M., Landa, B.B., Navas‐Cortés, J.A. and Zarco‐Tejada, P. (2014) Detection of downy mildew of opium poppy using high‐resolution multi‐spectral and thermal imagery acquired with an unmanned aerial vehicle. Precision Agriculture, 15(6), 639–661.
18 Campos‐Taberner, M., Romero‐Soriano, A., Gatta, C. et al. (2016) Processing of extremely high‐resolution Lidar and RGB data: outcome of the 2015 IEEE GRSS data fusion contest–part a: 2‐D contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(12), 5547–5559.
19 Card, B.A. (2018) Terror from above: how the commercial unmanned aerial vehicle revolution threatens the US threshold. Air & Space Power Journal, 32(1), 80–96.
20 Chauhan, S.K. (2019) Scholarly output on drone research: a bibliometric study. DESIDOC Journal of Library & Information Technology, 39(2), 117–124.
21 Chiabrando, F., Spanò, A., Sammartano, G. and Losè, L.T. (2017) UAV oblique photogrammetry and lidar data acquisition for 3D documentation of the Hercules Fountain. Virtual Archaeology Review, 8(16), 83.
22 Clothier, R.A. and Walker, R.A. (2015) The safety risk management of unmanned aircraft systems. in Handbook of Unmanned Aerial Vehicles (eds K.P. Valavanis and G.J. Vachtsevanos), pp. 2229–2275. Dordrecht, Netherlands: Springer Science + Business Media B.V.
23 Colomina, I., Blázquez, M., Molina, P. et al. (2008) Towards A New Paradigm for High‐Resolution Low‐Cost Photogrammetryand Remote Sensing. Proceedings of the International Society for Photogrammetry and Remote Sensing (ISPRS) XXI Congress, p. 1201.
24 Colomina, I. and Molina, P. (2014) Unmanned aerial systems for photogrammetry and remote sensing: a review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 79–97.
25 Cryderman, C., Mah, S.B. and Shufletoski, A. (2014) Evaluation of UAV photogrammetric accuracy for mapping and earthworks computations. Geomatica, 68(4), 309–317.
26 Dalponte, M., Coops, N.C., Bruzzone, L. and Gianelle, D. (2009) Analysis on the use of multiple returns LiDAR data for the estimation of tree stems volume. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2(4), 310–318.
27 Day, D., Weaver, W. and Wilsing, L. (2016) Accuracy of UAS photogrammetry: a comparative evaluation. Photogrammetric Engineering & Remote Sensing, 82 (12), 909–914.
28 Devriendt, L. and Bonne, J. (2014) UAS Mapping as an alternative for land surveying techniques? The International Archives of Photogrammetry, Remote Sensing & Spatial Information Sciences, 40(3), 39.
29 Ding, D., Wang, Y., Xiao, Y. and Han, Z. (2018) Low‐altitude Fixed‐wing UAV Obstacle Recognition Based on Deep Learning. 2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC), CSAA Guidance, Navigation and Control Conference (CGNCC), 2018 IEEE, pp. 1–6.
30 Dong, X., Ren, Y., Meng, J. et al. (2018) Design and Implementation of Multi‐rotor UAV Power Relay Platform. 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2018 2nd IEEE, pp. 1142–1146.
31 Erenoglu, R.C., Erenoglu, O. and Arslan, N. (2018) Accuracy assessment of low cost UAV based city modelling for urban planning. Tehnicki Vjesnik‐Technical Gazette, 25 (6), 1708–1714.
32 Federal Aviation Administration (2013) Pack safe: lithiumion and lithium metal batteries, spare (uninstalled). Available: https://www.faa.gov/hazmat/packsafe/more_info/?hazmat=7 (accessed 20 June 2018).
33 Floro da Silva, N.B. and Branco, K.R.L.J.C. (2013) A New Concept of VTOL as Fixed‐wing. International Conference on Unmanned Aircraft Systems (ICUAS), IEEE, Atlanta, GA, USA, May 28–31, 2013
34 Forlani, G., Dall’Asta, E., Diotri, F. et al. (2018) Quality assessment of DSMs produced from UAV flights georeferenced with on‐board RTK positioning. Remote Sensing, 10(2), 311.
35 Forsmoo, J., Anderson, K., Macleod, C.J.A. et al. (2019) Structure from motion photogrammetry in ecology: does the choice of software matter? Ecology & Evolution (20457758), 9(23), 12964–12979.
36 Fraser, B.T. and Congalton, R.G. (2018) Issues in unmanned aerial systems (UAS) data collection of complex forest environments. Remote Sensing, 10(6), 908.
37 Gabrlik, P., Cour‐Harbo, A., Kalvodova, P., Zalud, L. and Janata, P. (2018) Calibration and accuracy assessment in a direct georeferencing system for UAS photogrammetry. International Journal of Remote Sensing, 39 (15–16), 4931–4959.
38 Gagliolo, S., Ausonio, E., Federici, B. et al. (2018) 3D culture heritage documentation: a comparison between different photogrammetric software and their products. The International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 42, 2, 347–354.
39 Gilman, D. (2014) Unmanned Aerial Vehicles in Humanitarian Response, United Nations Office for the Coordination of Humanitarian Affairs (OCHA), Geneva.
40 Gonzalez‐Aguilera, D., Crespo‐Matellan, E., Hernandez‐Lopez, D. and Rodriguez‐Gonzalvez, P. (2012) Automated urban analysis based on LiDAR‐derived building models. IEEE Transactions on Geoscience & Remote Sensing, 51(3), 1844–1851.
41 González‐Jorge, H., Martínez‐Sánchez, J., Bueno, M. and Arias, a.P. (2017) Unmanned aerial systems for civil applications: a review. Drones, 1(1), 2.
42 Grubesic, T.H., Wallace, D., Chamberlain, A.W. and Nelson, J.R. (2018) Using unmanned aerial systems (UAS) for remotely sensing physical disorder in neighborhoods. Landscape & Urban Planning, 169, 148–159.
43 Haboudane, D., Miller, J.R., Pattey, E., Zarco‐Tejada, P. and Strachan, I.B. (2004) Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: modeling and validation in the context of precision agriculture. Remote Sensing of Environment, 90(3), 337–352.
44 Hardy, A., Makame, M., Cross, D., Majambere, S. and Msellem, M. (2017) Using low‐cost drones to map malaria vector habitats. Parasites & Vectors, 10, 1–13.
45 Hassan, F.M., Lim, H.S. and Mat Jafri, M.Z. (2011) CropCam UAV for land use/land cover mapping over Penang Island, Malaysia. Pertanika Journal of Science & Technology, 19, 70–76.
46 Hodgson, J.C. and Koh, L.P. (2016) Best practice for minimising unmanned aerial vehicle disturbance to wildlife in biological field research. Current Biology, 26 (10),R404–R405.
47 Howell, T.L., Singh, K.K. and Smart, L. (2018) Structure from motion techniques for estimating the volume of wood chips. in High Spatial Resolution Remote Sensing: Data, Techniques, and Applications (eds Y. He and Q. Weng), pp. 149–164. Boca Raton: CRC Press.
48 Hu, J. and Lanzon, A. (2018) An innovative tri‐rotor drone and associated distributed aerial drone swarm control. Robotics & Autonomous Systems, 103, 162–174.
49 Hussain, E., Ural, S., Kim, K., Fu, C. and Shan, J. (2011) Building extraction and rubble mapping for City Port‐au‐Prince post‐2010 earthquake with GeoEye‐1 imagery and Lidar data. Photogrammetric Engineering & Remote Sensing, 77 (10), 1011–1023.
50 Iizuka, K., Kato, T., Silsigia, S., Soufiningrum, A.Y. and Kozan, O. (2019) Estimating and examining the sensitivity of different vegetation indices to fractions of vegetation cover at different scaling Grids for Early Stage Acacia Plantation Forests Using a Fixed‐Wing UAS. Remote Sensing, 11 (15), 1816.
51 Ippolito, C., Krishnakumar, K. and Hening, S. (2016) Preliminary Results of Powerline Reconstruction from Airborne LiDAR for Safe Autonomous Low‐Altitude Urban Operations of Small UAS. 2016 IEEE Sensors. IEEE, Orlando, FL, October 30 – November 3, 2016, p. 1.
52 Jantawong, J. and Deelertpaiboon, C. (2018) Automatic Landing Control Based on GPS for Fixed‐Wing Aircraft. 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI‐CON), pp. 313–316.
53 Jayathunga, S., Owari, T. and Tsuyuki, S. (2018) The use of fixed–wing UAV photogrammetry with LiDAR DTM to estimate merchantable volume and carbon stock in living biomass over a mixed conifer–broadleaf forest. International Journal of Applied Earth Observations & Geoinformation, 73, 767–777.
54 Jensen, J.R. and Cowen, D.C. (1999) Remote sensing of urban/suburban infrastructure and socio‐economic attributes. Photogrammetric Engineering & Remote Sensing, 65, 611–622.
55 Joshi, A., Tripathi, A. and Ponnalgu, R.N. (2019) Modelling and Design of a Hybrid Aerial Vehicle Combining VTOL Capabilities with Fixed Wing Aircraft. 2019 6th International Conference on Instrumentation, Control, and Automation (ICA), pp. 47–51.
56 Kislik, C., Dronova, I. and Kelly, M. (2018) UAVs in support of algal bloom research: a review of current applications and future opportunities. Drones, 2(4), 35.
57 Kit, O., Lüdeke, M. and Reckien, D. (2012) Texture‐based identification of urban slums in Hyderabad, India using remote sensing data. Applied Geography, 32(2), 660–667.
58 Kršák, B., Blišťan, P., Pauliková, A. et al. (2016) Use of low‐cost UAV photogrammetry to analyze the accuracy of a digital elevation model in a case study. Measurement, 91, 276–287.
59 Küng, O., Strecha, C., Fua, P. et al. (2011) Simplified building models extraction from ultra‐light UAV imagery. ISPRS ‐ International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 3822, 217–222.
60 Lavecchia, F., Guerra, M. and Galantucci, L. (2017) The influence of software algorithms on photogrammetric micro‐feature measurement's uncertainty. International Journal of Advanced Manufacturing Technology, 93 (9–12), 3991–4005.
61 Li, C., Jin, W., Li, D. and Xi, Y. (2019) Vision‐aided Automatic Landing Design for Small Twin‐engine Fixed Wing UAV. 2019 IEEE 15th International Conference on Control and Automation (ICCA), Control and Automation (ICCA), 2019 IEEE 15th International Conference on, pp. 435–440.
62 Lin, Z., Castano, L., Mortimer, E. and Xu, H. (2020) Fast 3D collision avoidance algorithm for fixed wing UAS. Journal of Intelligent & Robotic Systems, 97(3), 577–604.
63 Liu, Y., Zheng, X., Ai, G., Zhang, Y. and Zuo, Y. (2018) Generating a high‐precision true digital orthophoto map based on UAV images. ISPRS International Journal of Geo‐Information, 7(9), 333.
64 Lowe, D.G. (2004) Distinctive image features from scale‐invariant keypoints. International Journal of Computer Vision, 60(2), 91–110.
65 Mazur, A.M. and Domanski, R. (2019) Hybrid energy systems in unmanned aerial vehicles. Aircraft Engineering & Aerospace Technology, 91 (5), 736–746.
66 Mesas‐Carrascosa, F., García, M.D.N., de Larriva, J.E.M. and García‐Ferrer, A. (2016) An analysis of the influence of flight parameters in the generation of unmanned aerial vehicle (UAV) orthomosaicks to survey archaeological areas. Sensors (14248220), 16 (11), 1838.
67 Morris, R. and Thurston, G. (2015). Registration and Marking Requirements for Small Unmanned Aircraft. Technical Report RIN 2120‐AK82, Federal Aviation Administration.
68 Nascimento, T.P. and Saska, M. (2019) Position and attitude control of multi‐rotor aerial vehicles: a survey. Annual Reviews in Control, 48, 129–146.
69 Nex, F. and Remondino, F. (2014) UAV for 3D mapping applications: a review. Applied Geomatics, 6(1), 1–15.
70 Noor, N.M., Abdullah, A. and Hashim, M. (2018) Remote Sensing UAV/Drones and Its Applications for Urban Areas: A Review. IOP Conference Series: Earth and Environmental Science, p. 012003.
71 Norouzi Ghazbi, S., Aghli, Y., Alimohammadi, M. and Akbari, A.A. (2016) Quadrotors unmanned aerial vehicles: a review. International Journal on Smart Sensing & Intelligent Systems, 9(1), 309–333.
72 Pajares, G. (2015) Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs). Photogrammetric Engineering & Remote Sensing, 81(4), 281–330.
73 Panagiotou, P. and Yakinthos, K. (2020) Aerodynamic efficiency and performance enhancement of fixed‐wing UAVs. Aerospace Science & Technology, 99, 105575.
74 Pannozzi, P., Valavanis, K.P., Rutherford, M.J. et al. (2019) Urban Monitoring of Smart Communities Using UAS. 2019 International Conference on Unmanned Aircraft Systems (ICUAS), IEEE, Atlanta, USA, June 11–14, 2019, p. 866.
75 Pepe, M., Fregonese, L. and Scaioni, M. (2018) Planning airborne photogrammetry and remote‐sensing missions with modern platforms and sensors. European Journal of Remote Sensing, 51(1), 412–436.
76 Plioutsias, A., Karanikas, N. and Chatzimihailidou, M.M. (2018) Hazard analysis and safety requirements for small drone operations: to what extent do popular drones embed safety? Risk Analysis: An International Journal, 38(3), 562–584.
77 Prakash, A. (2000) Thermal remote sensing: concepts, issues and applications. International Archives of Photogrammetry & Remote Sensing, 33, 239–243.
78 Rakha, T. and Gorodetsky, A. (2018) Review of Unmanned Aerial System (UAS) applications in the built environment: towards automated building inspection procedures using drones. Automation in Construction, 93, 252–264.
79 Ramasamy, S., Sabatini, R., Gardi, A. and Liu, J. (2016) LIDAR obstacle warning and avoidance system for unmanned aerial vehicle sense‐and‐avoid. Aerospace Science & Technology, 55, 344–358.
80 Remondino, F., Barazzetti, L., Nex, F., Scaioni, M. and Sarazzi, D. (2011) UAV photogrammetry for mapping and 3d modeling–current status and future perspectives. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 38(1), C22.
81 Restas, A. (2015) Drone applications for supporting disaster management. World Journal of Engineering & Technology, 3(03), 316.
82 Saeed, A.S., Younes, A.B., Cai, C. and Cai, G. (2018) A survey of hybrid unmanned aerial vehicles. Progress in Aerospace Sciences, 98, 91–105.
83 Sámano, A., Castro, R., Lozano, R. and Salazar, S. (2013) Modeling and stabilization of a multi‐rotor helicopter. Journal of Intelligent & Robotic Systems, 69 (1–4), 161–169.
84 Sanz‐Ablanedo, E., Chandler, J.H., Ramon Rodriguez‐Perez, J. and Ordonez, C. (2018) Accuracy of unmanned aerial vehicle (UAV) and SfM photogrammetry survey as a function of the number and location of ground control points used. Remote Sensing, 10 (10), 1606.
85 Seto, K.C., Reenberg, A., Boone, C.G. et al. (2012) Urban land teleconnections and sustainability. Proceedings of the National Academy of Sciences, 109 (20), 7687–7692.
86 Shafian, S., Rajan, N., Schnell, R. et al. (2018) Unmanned aerial systems‐based remote sensing for monitoring sorghum growth and development. PLoS ONE, 13(5), e0196605.
87 Shan, S., Hou, Z. and Zhu, B. (2017) Albatross‐like utilization of wind gradient for unpowered flight of fixed‐wing aircraft. Applied Sciences, 7(10), 1061.
88 Siebert, S. and Teizer, J. (2014) Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system. Automation in Construction, 41, 1–14.
89 Singh, K.K. and Frazier, A.E. (2018) A meta‐analysis and review of unmanned aircraft system (UAS) imagery for terrestrial applications. International Journal of Remote Sensing, 39 (15–16), 5078–5098.
90 Skrzypietz, B. (2012) Unmanned Aircraft Systems for Civilian Missions, Brandenburg Institute for Society and Security, Potsdam.
91 Sonka, S. and Ifamr, I. (2014) Big data and the ag sector: more than lots of numbers. International Food & Agribusiness Management Review, 17(1), 1–20.
92 Stecz, W. and Gromada, K. (2020) UAV mission planning with SAR application. Sensors (14248220), 20(4), 1080.
93 Steffen, R. and Förstner, W. (2008) On Visual Real Time Mapping for Unmanned Aerial Vehicles. 21st Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), p. 57.
94 Strecha, C., Küng, O. and Fua, P. (2012) Automatic mapping from ultra‐light uav imagery. EuroCOW 2012. Barceloa, Spain, February 8–10, 2012, p. EPFL‐CONF‐175351.
95 Thamm, F.‐P., Brieger, N., Neitzke, K.‐P. et al. (2015) Songbird – an innovative UAS combining the advantages of fixed wing and multi rotor UAS. The International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, XL‐1‐W4, 345–349.
96 Tison, C., Nicolas, J., Tupin, F. and Maître, H. (2004) A new statistical model for Markovian classification of urban areas in high‐resolution SAR images. IEEE Transactions on Geoscience & Remote Sensing, 42 (10), 2046–2057.
97 Torres‐Sánchez, J., López‐Granados, F., Borra‐Serrano, I. and Peña, J.M. (2018) Assessing UAV‐collected image overlap influence on computation time and digital surface model accuracy in olive orchards. Precision Agriculture, 19(1), 115–133.
98 Toth, C., Jozkow, G. and Grejner‐Brzezinska, D. (2015) Mapping with small UAS: a point cloud accuracy assessment. Journal of Applied Geodesy, 9(4), 213–226.
99 Trhan, O., Fraštia, M. and Marčiš, M. (2016) Building models created from UAV photogrammetry data. Proceedings of the International Multidisciplinary Scientific GeoConference SGEM, 2, 823–830.
100 Tsouros, D.C., Bibi, S. and Sarigiannidis, P.G. (2019) A review on UAV‐based applications for precision agriculture. Information, 10 (11), 349.
101 Turner, D., Lucieer, A. and Watson, C. (2012) An automated technique for generating georectified mosaics from ultra‐high resolution unmanned aerial vehicle (UAV) imagery, based on structure from motion (SfM) point clouds. Remote Sensing, 4(5), 1392–1410.
102 UN DESA (2018) World urbanization prospects: the 2018 revision. Available: https://population.un.org/wup/Publications/Files/WUP2018‐Report.pdf (accessed 2 March 2021).
103 Wallace, P., Martin, R. and White, I. (2018) Keeping pace with technology: drones, disturbance and policy deficiency. Journal of Environmental Planning & Management, 61(7), 1271–1288.
104 Watkins, S., Burry, J., Mohamed, A. et al. (2020) Ten questions concerning the use of drones in urban environments. Building and Environment, 167, 106458.
105 West, J. and Bowman, J. (2016) The domestic use of drones: an ethical analysis of surveillance issues. Public Administration Review, 76(4), 649–659.
106 Wu, Y. and An, Z. (2019) UAV route planning for image 3D reconstruction. Dianzi Jishu Yingyong, 45(3), 76–79.
107 Wurm, M., Taubenböck, H., Weigand, M. and Schmitt, A. (2017) Slum mapping in polarimetric SAR data using spatial features. Remote Sensing of Environment, 194, 190–204.
108 Yao, H., Qin, R. and Chen, X. (2019) Unmanned aerial vehicle for remote sensing applications—a review. Remote Sensing, 11 (12), 1443.
109 Zarco‐Tejada, P., González‐Dugo, V. and Berni, J.A.J. (2012) Fluorescence, Temperature and Narrow‐Band Indices Acquired from a UAV Platform for Water Stress Detection Using a Micro‐Hyperspectral Imager and a Thermal Camera, Elsevier.
110 Zhang, C. and Kovacs, J.M. (2012) The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture, 13(6), 693–712.
111 Zhang, H., Aldana‐Jague, E., Clapuyt, F. et al. (2019) Evaluating the potential of post‐processing kinematic (PPK) georeferencing for UAV‐based structure‐ from‐motion (SfM) photogrammetry and surface change detection. Earth Surface Dynamics, 7(3), 807–827.
112 Zhang, J., Jung, J., Sohn, G. and Cohen, M. (2015) Thermal infrared inspection of roof insulation using unmanned aerial vehicles. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 40, 381.
113 Ziliani, M.G., Parkes, S.D., Hoteit, I. and McCabe, M.F. (2018) Intra‐season crop height variability at commercial farm scales using a fixed‐wing UAV. Remote Sensing, 10 (12), 2007.
