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

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F21%3A00545699" target="_blank" >RIV/67985939:_____/21:00545699 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/60460709:41320/21:85435 RIV/60460709:41330/21:85435
Výsledek na webu
<a href="https://doi.org/10.1016/j.rse.2021.112522" target="_blank" >https://doi.org/10.1016/j.rse.2021.112522</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rse.2021.112522" target="_blank" >10.1016/j.rse.2021.112522</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Temperature buffering in temperate forests: Comparing microclimate models based on ground measurements with active and passive remote sensing
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Temperature buffering in temperate forests: Comparing microclimate models based on ground measurements with active and passive remote sensing
Popis výsledku anglicky
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.

Projekt
<a href="/cs/project/GA17-13998S" target="_blank" >GA17-13998S: Lesní mikroklima - přehlížený článek mezi diverzitou rostlin a klimatickou změnou</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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