Temperature buffering in temperate forests: Comparing microclimate models based on ground measurements with active and passive remote sensing

0545699 - BÚ 2022 RIV US eng J - Journal Article
Kašpar, Vít - Hederová, Lucia - Macek, Martin - Müllerová, Jana - Prošek, Jiří - Surový, P. - Wild, Jan - Kopecký, Martin
Temperature buffering in temperate forests: Comparing microclimate models based on ground measurements with active and passive remote sensing.
Remote Sensing of Environment. Roč. 263, 15 September (2021), č. článku 112522. ISSN 0034-4257. E-ISSN 1879-0704
R&D Projects: GA ČR(CZ) GA17-13998S
Institutional support: RVO:67985939
Keywords : airborne laser scanning * microclimate * unmaned aerial systems
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 13.850, year: 2021
Method of publishing: Open access with time embargo
https://doi.org/10.1016/j.rse.2021.112522

Our results suggest that both UAS-SfM and UAS-LiDAR can substitute ground canopy measurements for air temperature modeling, but soil temperature modeling is more challenging. Overall, our results show that forest microclimate can be modelled at a very high spatial resolution using UAS equipped with inexpensive optical cameras. The increasingly available UAS-SfM approach can thus provide fine-resolution microclimatic data much needed for biologically relevant predictions of species responses to climate change.
Permanent Link: http://hdl.handle.net/11104/0324810