Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78169" target="_blank" >RIV/60460709:41320/18:78169 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1080/01431161.2018.1434329" target="_blank" >http://dx.doi.org/10.1080/01431161.2018.1434329</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/01431161.2018.1434329" target="_blank" >10.1080/01431161.2018.1434329</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems

Popis výsledku v původním jazyce

Plantations of typical Mediterranean tree species, such as cork oak(Quercus suber L.), holm oak (Quercus ilex L.), and umbrella pine (Pinus pinea L.), are important for the restoration of forest ecosystems in the region. While traditional forest inventories can provide early problem detection in these plantations, the cost and labour of the required fieldwork may exceed its potential benefits. Unmanned aerial vehicles (UAVs) provide a cheap and practical alternative to traditional inventories and individual tree measurement. We present a method to estimate heights and positions of individual trees, from remotely sensed imagery, obtained using a low-flying UAV with an integrated RGB sensor. In the summer of 2015, a 5ha stand at the University of Evora was photographed with a low-flying (40m) hexacopter. A 3D point cloud and orthophoto were created from the images. The point cloud was used to identify local maxima as candidates for tree positions and height estimates. Results showed that the height mea

Název v anglickém jazyce

Estimation of positions and heights from UAV-sensed imagery in tree plantations in agrosilvopastoral systems

Popis výsledku anglicky

Plantations of typical Mediterranean tree species, such as cork oak(Quercus suber L.), holm oak (Quercus ilex L.), and umbrella pine (Pinus pinea L.), are important for the restoration of forest ecosystems in the region. While traditional forest inventories can provide early problem detection in these plantations, the cost and labour of the required fieldwork may exceed its potential benefits. Unmanned aerial vehicles (UAVs) provide a cheap and practical alternative to traditional inventories and individual tree measurement. We present a method to estimate heights and positions of individual trees, from remotely sensed imagery, obtained using a low-flying UAV with an integrated RGB sensor. In the summer of 2015, a 5ha stand at the University of Evora was photographed with a low-flying (40m) hexacopter. A 3D point cloud and orthophoto were created from the images. The point cloud was used to identify local maxima as candidates for tree positions and height estimates. Results showed that the height mea

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

INTERNATIONAL JOURNAL OF REMOTE SENSING

ISSN

0143-1161

e-ISSN

—

Svazek periodika

39

Číslo periodika v rámci svazku

14

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

15

Strana od-do

4786-4800

Kód UT WoS článku

000441646800013

EID výsledku v databázi Scopus

2-s2.0-85041554673