{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T17:32:54Z","timestamp":1780594374003,"version":"3.54.1"},"reference-count":65,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2017,9,23]],"date-time":"2017-09-23T00:00:00Z","timestamp":1506124800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The acquisition, processing, and interpretation of thermal images from unmanned aerial vehicles (UAVs) is becoming a useful source of information for agronomic applications because of the higher temporal and spatial resolution of these products compared with those obtained from satellites. However, due to the low load capacity of the UAV they need to mount light, uncooled thermal cameras, where the microbolometer is not stabilized to a constant temperature. This makes the camera precision low for many applications. Additionally, the low contrast of the thermal images makes the photogrammetry process inaccurate, which result in large errors in the generation of orthoimages. In this research, we propose the use of new calibration algorithms, based on neural networks, which consider the sensor temperature and the digital response of the microbolometer as input data. In addition, we evaluate the use of the Wallis filter for improving the quality of the photogrammetry process using structure from motion software. With the proposed calibration algorithm, the measurement accuracy increased from 3.55 \u00b0C with the original camera configuration to 1.37 \u00b0C. The implementation of the Wallis filter increases the number of tie-point from 58,000 to 110,000 and decreases the total positing error from 7.1 m to 1.3 m.<\/jats:p>","DOI":"10.3390\/s17102173","type":"journal-article","created":{"date-parts":[[2017,9,26]],"date-time":"2017-09-26T04:28:01Z","timestamp":1506400081000},"page":"2173","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":145,"title":["Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6713-1759","authenticated-orcid":false,"given":"Krishna","family":"Ribeiro-Gomes","sequence":"first","affiliation":[{"name":"Regional Centre of Water Research, University of Castilla-La Mancha, 02071 Albacete, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9874-5243","authenticated-orcid":false,"given":"David","family":"Hern\u00e1ndez-L\u00f3pez","sequence":"additional","affiliation":[{"name":"Institute of Regional Development, University of Castilla-La Mancha, 02071 Albacete, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5235-8045","authenticated-orcid":false,"given":"Jos\u00e9","family":"Ortega","sequence":"additional","affiliation":[{"name":"Regional Centre of Water Research, University of Castilla-La Mancha, 02071 Albacete, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6496-4421","authenticated-orcid":false,"given":"Roc\u00edo","family":"Ballesteros","sequence":"additional","affiliation":[{"name":"Regional Centre of Water Research, University of Castilla-La Mancha, 02071 Albacete, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1944-6494","authenticated-orcid":false,"given":"Tom\u00e1s","family":"Poblete","sequence":"additional","affiliation":[{"name":"Centro de Investigaci\u00f3n y Transferencia en Riegoy Agroclimatolog\u00eda, Universidad de Talca, Talca 3460000, Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5940-6123","authenticated-orcid":false,"given":"Miguel","family":"Moreno","sequence":"additional","affiliation":[{"name":"Regional Centre of Water Research, University of Castilla-La Mancha, 02071 Albacete, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,9,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1007\/s11119-012-9274-5","article-title":"The application of small unmanned aerial systems for precision agriculture: A review","volume":"13","author":"Zhang","year":"2012","journal-title":"Precis. Agric."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1007\/s11119-014-9357-6","article-title":"Applications of georeferenced high-resolution images obtained with unmanned aerial vehicles. Part II: Application to maize and onion crops of a semi-arid region in Spain","volume":"15","author":"Ballesteros","year":"2014","journal-title":"Precis. Agric."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"4","DOI":"10.2747\/1548-1603.48.1.4","article-title":"Image Processing and Classification Procedures for Analysis of Sub-decimeter Imagery Acquired with an Unmanned Aircraft over Arid Rangelands","volume":"48","author":"Laliberte","year":"2011","journal-title":"GISci. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Majidi, B., and Bab-Hadiashar, A. (2005, January 6\u20138). Real time aerial natural image interpretation for autonomous ranger drone navigation. Proceedings of the Digital Imag Computing Techniques and Application (DICTA 2005), Cairns, QLD, Australia.","DOI":"10.1109\/DICTA.2005.68"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1109\/TGRS.2008.2010457","article-title":"Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle","volume":"47","author":"Berni","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.rse.2005.09.002","article-title":"Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy","volume":"99","author":"Miller","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Kingston, D.B., and Beard, A.W. (2004, January 20\u201323). Real-time Attitude and Position Estimation for Small UAVs using Low-cost Sensors. Proceedings of the AIAA 3rd Unmanned Unlimited Technical Conference on Workshop and Exhibit, Chicago, IL, USA.","DOI":"10.2514\/6.2004-6488"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.biosystemseng.2016.09.014","article-title":"Approximate georeferencing and automatic blurred image detection to reduce the costs of UAV use in environmental and agricultural applications","volume":"151","author":"Ballesteros","year":"2016","journal-title":"Biosyst. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1007\/s00271-012-0382-9","article-title":"Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)","volume":"30","author":"Baluja","year":"2012","journal-title":"Irrig. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1186\/s13007-015-0078-2","article-title":"Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize","volume":"11","author":"Vergara","year":"2015","journal-title":"Plant Methods"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.compag.2017.05.027","article-title":"Application of UAV imaging platform for vegetation analysis based on spectral-spatial methods","volume":"140","author":"Senthilnath","year":"2017","journal-title":"Comput. Electron. Agric."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.biosystemseng.2015.12.003","article-title":"Detection of tomatoes using spectral-spatial methods in remotely sensed RGB images captured by UAV","volume":"146","author":"Senthilnath","year":"2016","journal-title":"Biosyst. Eng."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1007\/s00271-014-0456-y","article-title":"Seasonal evolution of crop water stress index in grapevine varieties determined with high-resolution remote sensing thermal imagery","volume":"33","author":"Bellvert","year":"2014","journal-title":"Irrig. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s11119-013-9334-5","article-title":"Mapping crop water stress index in a \u201cPinot-noir\u201d vineyard: Comparing ground measurements with thermal remote sensing imagery from an unmanned aerial vehicle","volume":"15","author":"Bellvert","year":"2014","journal-title":"Precis. Agric."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1007\/s11119-016-9492-3","article-title":"Crop water status assessment in controlled environment using crop reflectance and temperature measurements","volume":"18","author":"Elvanidi","year":"2017","journal-title":"Precis. Agric."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Ortega-Far\u00edas, S., Ortega-Salazar, S., Poblete, T., Kilic, A., Allen, R., Poblete-Echeverr\u00eda, C., Ahumada-Orellana, L., Z\u00fa\u00f1iga, M., and Sep\u00falveda, D. (2016). Estimation of energy balance components over a drip-irrigated olive orchard using thermal and multispectral cameras placed on a helicopter-based unmanned aerial vehicle (UAV). Remote Sens., 8.","DOI":"10.3390\/rs8080638"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.agwat.2016.08.026","article-title":"High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard","volume":"183","author":"Santesteban","year":"2017","journal-title":"Agric. Water Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1007\/s11119-016-9449-6","article-title":"Field phenotyping of water stress at tree scale by UAV-sensed imagery: New insights for thermal acquisition and calibration","volume":"17","author":"Virlet","year":"2016","journal-title":"Precis. Agric."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/s11119-014-9351-z","article-title":"Crop water stress index derived from multi-year ground and aerial thermal images as an indicator of potato water status","volume":"15","author":"Rud","year":"2014","journal-title":"Precis. Agric."},{"key":"ref_20","first-page":"827","article-title":"Use of thermal and visible imagery for estimating crop water status of irrigated grapevine","volume":"58","author":"Alchanatis","year":"2007","journal-title":"J. Exp. Bot."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.agwat.2015.03.023","article-title":"Comparison of canopy temperature-based water stress indices for maize","volume":"156","author":"DeJonge","year":"2015","journal-title":"Agric. Water Manag."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1061\/(ASCE)0733-9437(2007)133:4(395)","article-title":"Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)\u2014Applications","volume":"133","author":"Allen","year":"2007","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0022-1694(98)00253-4","article-title":"A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation","volume":"212","author":"Bastiaanssen","year":"1998","journal-title":"J. Hydrol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s00271-007-0088-6","article-title":"ET mapping for agricultural water management: Present status and challenges","volume":"26","author":"Gowda","year":"2008","journal-title":"Irrig. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/S1464-1909(99)00128-8","article-title":"S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance","volume":"25","author":"Roerink","year":"2000","journal-title":"Phys. Chem. Earth Part B Hydrol. Ocean. Atmos."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/0168-1923(95)02265-Y","article-title":"Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature","volume":"77","author":"Norman","year":"1995","journal-title":"Agric. For. Meteorol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/S0168-1923(96)02368-4","article-title":"The effect of clumping and stomatal response on evaporation from sparsely vegetated shrublands","volume":"84","author":"Brenner","year":"1997","journal-title":"Agric. For. Meteorol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s00271-009-0183-y","article-title":"Estimation of actual evapotranspiration for a drip-irrigated merlot vineyard using a three-source model","volume":"28","year":"2009","journal-title":"Irrig. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"4011","DOI":"10.1002\/hyp.8408","article-title":"Satellite-based ET estimation in agriculture using SEBAL and METRIC","volume":"25","author":"Allen","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2821","DOI":"10.3390\/en7052821","article-title":"Evapotranspiration estimation with remote sensing and various surface energy balance algorithms\u2014A review","volume":"7","author":"Liou","year":"2014","journal-title":"Energies"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"85","DOI":"10.5194\/hess-6-85-2002","article-title":"The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes","volume":"6","author":"Su","year":"2002","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Allen, R.G., Tasumi, M., and Morse, A. (2005). Satellite-based evapotranspiration by METRIC and Landsat for western states water management. US Bur. Reclam. Evapotranspiration Workshop, 1\u201319.","DOI":"10.1061\/40792(173)556"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1016\/j.agwat.2008.10.001","article-title":"Evaluation of satellite evapotranspiration estimates using ground-meteorological data available for the Flumen District into the Ebro Valley of N.E. Spain","volume":"96","author":"Ramos","year":"2009","journal-title":"Agric. Water Manag."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1061\/(ASCE)IR.1943-4774.0000276","article-title":"Using a surface energy balance model to calculate spatially distributed actual evapotranspiration","volume":"137","author":"Elhaddad","year":"2011","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1007\/s00271-012-0381-x","article-title":"Calibration and validation of a remote sensing algorithm to estimate energy balance components and daily actual evapotranspiration over a drip-irrigated Merlot vineyard","volume":"30","year":"2012","journal-title":"Irrig. Sci."},{"key":"ref_36","first-page":"D05109","article-title":"Crop Evapotranspiration: Guidelines for Computing Crop Requirements FAO Irrigation and Drainage Paper No. 56","volume":"300","author":"Allen","year":"1998","journal-title":"FAO Rome"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12665-015-4976-4","article-title":"A methodology to estimate equity of canal water and groundwater use at different spatial and temporal scales: A geo-informatics approach","volume":"75","author":"Awan","year":"2016","journal-title":"Environ. Earth Sci."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.jseaes.2016.05.012","article-title":"A coupled remote sensing and the Surface Energy Balance based algorithms to estimate actual evapotranspiration over the western and southern regions of Saudi Arabia","volume":"124","author":"Mahmoud","year":"2016","journal-title":"J. Asian Earth Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/0002-1571(81)90032-7","article-title":"Normalizing the stress-degree-day parameter for environmental variability","volume":"24","author":"Idso","year":"1981","journal-title":"Agric. Meteorol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.agwat.2015.12.009","article-title":"Evaluation of neural network modeling to predict non-water-stressed leaf temperature in wine grape for calculation of crop water stress index","volume":"167","author":"King","year":"2016","journal-title":"Agric. Water Manag."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s00138-013-0570-5","article-title":"Thermal cameras and applications: A survey","volume":"25","author":"Gade","year":"2014","journal-title":"Mach. Vis. Appl."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Sheng, H., Chao, H., Coopmans, C., Han, J., McKee, M., and Chen, Y. (2010, January 15\u201317). Low-cost UAV-based thermal infrared remote sensing: Platform, calibration and applications. Proceedings of the 2010 IEEE\/ASME International Conference on Mechatronic Embedded Systems and Applications (MESA), Qingdao, China.","DOI":"10.1109\/MESA.2010.5552031"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Jensen, A.M., McKee, M., and Chen, Y. (2014, January 13\u201318). Procedures for processing thermal images using low-cost microbolometer cameras for small unmanned aerial systems. Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium, Qu\u00e9bec City, QC, Canada.","DOI":"10.1109\/IGARSS.2014.6947013"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"187","DOI":"10.5194\/jsss-4-187-2015","article-title":"Calibration of uncooled thermal infrared cameras","volume":"4","author":"Budzier","year":"2015","journal-title":"J. Sens. Sens. Syst."},{"key":"ref_45","first-page":"482","article-title":"Neural networks for pattern recognition","volume":"92","author":"Bishop","year":"1995","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Mcevoy, H., Simpson, R., and Machin, G. (2012, January 11\u201314). Quantitative InfraRed Thermography Review of current thermal imaging temperature calibration and evaluation facilities, practices and procedures, across EURAMET. Proceedings of the 11th International Conference on Quantitative InfraRed Thermography (QIRT 2012), Naples, Italy.","DOI":"10.21611\/qirt.2012.334"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Botterill, T., Mills, S., and Green, R. (2010, January 8\u20139). Real-time aerial image mosaicing. Proceedings of the International Conference Image and Vision Computing New Zealand, Queenstown, New Zealand.","DOI":"10.1109\/IVCNZ.2010.6148850"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jvcir.2015.10.014","article-title":"A survey on image mosaicing techniques","volume":"34","author":"Ghosh","year":"2016","journal-title":"J. Vis. Commun. Image Represent."},{"key":"ref_49","unstructured":"Pierrot-Deseilligny, M., and Clery, I. (2011, January 2\u20134). Apero, an Open Source Bundle Adjusment Software for Automatic Calibration and Orientation of Set of Images. Proceedings of the ISPRS Symposium, 3DARCH11, Trento, Italy."},{"key":"ref_50","unstructured":"Wu, C. (2017, September 21). VisualSFM: A Visual Structure from Motion System. Available online: http:\/\/ccwu.me\/vsfm\/doc.html."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1145\/1141911.1141964","article-title":"Photo tourism: Exploring Photo Collections in 3D","volume":"25","author":"Snavely","year":"2006","journal-title":"ACM Trans. Graph."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Kastek, M., Dulski, R., Trzaskawka, P., and Bieszczad, G. (2010). Sniper detection using infrared camera: Technical possibilities and limitations. SPIE Defense, Security, and Sensing, International Society for Optics and Photonics.","DOI":"10.1117\/12.851336"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"111","DOI":"10.5194\/isprsarchives-XXXIX-B6-111-2012","article-title":"Determination of the Uav Position By Automatic Processing of Thermal Images","volume":"XXXIX-B6","author":"Hartmann","year":"2012","journal-title":"ISPRS-Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_54","unstructured":"Smoorenburg, M., Volze, N., Tilch, S., Hartmann, W., Naef, F., and Kinzelbach, W. (2010, January 5). Evaluation of Thermal Infrared Imagery Acquired with an Unmanned Aerial Vehicle for Studying Hydrological Processes. Proceedings of the EGU General Assembly Conference Abstracts, Orlando, FL, USA."},{"key":"ref_55","first-page":"1689","article-title":"Apuntes de Fotogrametr\u00eda II","volume":"53","year":"2001","journal-title":"Cent. Univ. M\u00e9rida"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1109\/LSP.2014.2353774","article-title":"Content adaptive image detail enhancement","volume":"22","author":"Kou","year":"2015","journal-title":"IEEE Signal Process. Lett."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"145","DOI":"10.5194\/isprsannals-II-5-145-2014","article-title":"Image pre-processing for optimizing automated photogrammetry performances","volume":"II-5","author":"Guidi","year":"2014","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1007\/s11119-014-9357-6","article-title":"Applications of georeferenced high-resolution images obtained with unmanned aerial vehicles. Part I: Description of image acquisition and processing","volume":"15","author":"Ballesteros","year":"2014","journal-title":"Precis. Agric."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1080\/01621459.1974.10480123","article-title":"Seasonal adjustment and relations between variables","volume":"69","author":"Wallis","year":"1974","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Gaiani, M., Remondino, F., Apollonio, F.I., and Ballabeni, A. (2016). An advanced pre-processing pipeline to improve automated photogrammetric reconstructions of architectural scenes. Remote Sens., 8.","DOI":"10.3390\/rs8030178"},{"key":"ref_61","first-page":"31","article-title":"Development of an all-purpose free photogrammetric tool","volume":"41","author":"Guerrero","year":"2016","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_62","first-page":"69","article-title":"Interest operators in close-range object reconstruction","volume":"37","author":"Jazayeri","year":"2008","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. Beijing"},{"key":"ref_63","unstructured":"(1997). UNEP World Atlas of Desertification, Publications Office of the European Union. [2nd ed.]."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1016\/j.rse.2007.07.018","article-title":"Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations","volume":"112","author":"Kustas","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Torres-Rua, A. (2017). Vicarious calibration of sUAS microbolometer temperature imagery for estimation of radiometric land surface temperature. Sensors, 17.","DOI":"10.3390\/s17071499"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/10\/2173\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:45:43Z","timestamp":1760208343000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/17\/10\/2173"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,9,23]]},"references-count":65,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2017,10]]}},"alternative-id":["s17102173"],"URL":"https:\/\/doi.org\/10.3390\/s17102173","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,9,23]]}}}