000121211 001__ 121211
000121211 005__ 20240731103315.0
000121211 0247_ $$2doi$$a10.1016/j.rse.2022.113427
000121211 0248_ $$2sideral$$a131607
000121211 037__ $$aART-2023-131607
000121211 041__ $$aeng
000121211 100__ $$0(orcid)0000-0002-9123-304X$$aHoffrén, Raúl$$uUniversidad de Zaragoza
000121211 245__ $$aThermal unmanned aerial vehicles for the identification of microclimatic refugia in topographically complex areas
000121211 260__ $$c2023
000121211 5060_ $$aAccess copy available to the general public$$fUnrestricted
000121211 5203_ $$aBiodiversity loss is one of the most relevant consequences of climate change. Therefore, identifying areas and environmental features that allow certain organisms to be less exposed to the effects of the current global warming is priority for biodiversity conservation. In this study, we describe a novel approach for the identification of microclimatic refugia in rugged mountain areas, specifically for the detection of most thermally stable areas, using an unmanned aerial vehicle (UAV) capable of recording in the visible and thermal infrared spectral bands. We estimated land surface temperatures (LST) at very-high spatial resolution in six topographically complex sectors of the Pyrenees (NE Spain), across seasons with vegetative activity (summer 2020, autumn 2020, spring 2021, and summer 2021), and at two thermally contrasted times of the day (early in the morning: LSTmin, and in the afternoon: LSTmax). LST were validated with a network of miniaturized temperature sensors in the field. LSTmin and LSTmax allowed us to calculate the daily thermal range of each sector across the seasons, and thus the most thermally stable areas over the year. To reveal the importance of different variables on low and narrow thermal ranges we applied Gradient Boosted Models to seven terrain variables derived from ALS-LiDAR (slope, northness, eastness, heat load, wind exposure index, SAGA's topographic wetness index, and vector ruggedness measure) and a proxy of forest density through the three-dimensional point clouds of the UAV data. The northness was the variable that most promoted thermal stability, followed by the slope and forest density, so that microclimatic refugia resulted to be located in northern slopes, small sites under rocky cliffs, and forested areas. Our results demonstrate that thermal UAVs can become promising tools for the identification of microclimatic refugia in topographically complex areas, providing information at unprecedented spatial resolution, and thus of high interest for biodiversity conservation.
000121211 536__ $$9info:eu-repo/grantAgreement/ES/AEI/CGL2017-90040-R VULBIMON$$9info:eu-repo/grantAgreement/ES/AEI/PID2021-129056OB-11I00 REFUGIA$$9info:eu-repo/grantAgreement/ES/MCIU/FPU18-05027
000121211 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000121211 590__ $$a11.1$$b2023
000121211 592__ $$a4.31$$b2023
000121211 591__ $$aENVIRONMENTAL SCIENCES$$b16 / 358 = 0.045$$c2023$$dQ1$$eT1
000121211 593__ $$aComputers in Earth Sciences$$c2023$$dQ1
000121211 591__ $$aIMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY$$b2 / 36 = 0.056$$c2023$$dQ1$$eT1
000121211 593__ $$aSoil Science$$c2023$$dQ1
000121211 591__ $$aREMOTE SENSING$$b2 / 62 = 0.032$$c2023$$dQ1$$eT1
000121211 593__ $$aGeology$$c2023$$dQ1
000121211 594__ $$a25.1$$b2023
000121211 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000121211 700__ $$aGarcía, María B.
000121211 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDpto. Geograf. Ordenac.Territ.$$cÁrea Análisis Geográfico Regi.
000121211 773__ $$g286 (2023), 113427 [12 pp.]$$pRemote sens. environ.$$tRemote Sensing of Environment$$x0034-4257
000121211 8564_ $$s14943592$$uhttps://zaguan.unizar.es/record/121211/files/texto_completo.pdf$$yVersión publicada
000121211 8564_ $$s2619839$$uhttps://zaguan.unizar.es/record/121211/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000121211 909CO $$ooai:zaguan.unizar.es:121211$$particulos$$pdriver
000121211 951__ $$a2024-07-31-09:40:49
000121211 980__ $$aARTICLE