Estimation and Extrapolation of Tree Parameters Using Spectral Correlation between UAV and Pleiades Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78161" target="_blank" >RIV/60460709:41320/18:78161 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3390/f9020085" target="_blank" >http://dx.doi.org/10.3390/f9020085</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/f9020085" target="_blank" >10.3390/f9020085</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation and Extrapolation of Tree Parameters Using Spectral Correlation between UAV and Pleiades Data

Popis výsledku v původním jazyce

The latest technological advances in space-borne imagery have significantly enhanced the acquisition of high-quality data. With the availability of very high-resolution satellites, such as Pleiades, it is now possible to estimate tree parameters at the individual level with high fidelity. Despite innovative advantages on high-precision satellites, data acquisition is not yet available to the public at a reasonable cost. Unmanned aerial vehicles (UAVs) have the practical advantage of data acquisition at a higher spatial resolution than that of satellites. This study is divided into two main parts: (1) we describe the estimation of basic tree attributes, such as tree height, crown diameter, diameter at breast height (DBH), and stem volume derived from UAV data based on structure from motion (SfM) algorithms, and (2) we consider the extrapolation of the UAV data to a larger area, using correlation between satellite and UAV observations as an economically viable approach. Results have shown that UAVs can

Název v anglickém jazyce

Estimation and Extrapolation of Tree Parameters Using Spectral Correlation between UAV and Pleiades Data

Popis výsledku anglicky

The latest technological advances in space-borne imagery have significantly enhanced the acquisition of high-quality data. With the availability of very high-resolution satellites, such as Pleiades, it is now possible to estimate tree parameters at the individual level with high fidelity. Despite innovative advantages on high-precision satellites, data acquisition is not yet available to the public at a reasonable cost. Unmanned aerial vehicles (UAVs) have the practical advantage of data acquisition at a higher spatial resolution than that of satellites. This study is divided into two main parts: (1) we describe the estimation of basic tree attributes, such as tree height, crown diameter, diameter at breast height (DBH), and stem volume derived from UAV data based on structure from motion (SfM) algorithms, and (2) we consider the extrapolation of the UAV data to a larger area, using correlation between satellite and UAV observations as an economically viable approach. Results have shown that UAVs can

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/QJ1520037" target="_blank" >QJ1520037: Zvyšování adaptability borového hospodářství v podmínkách České republiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

FORESTS

ISSN

1999-4907

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

1-15

Kód UT WoS článku

000427520600038

EID výsledku v databázi Scopus

2-s2.0-85042192099