Remote sensing-based forest health monitoring systems - case studies from Czechia and Slovakia

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F18%3A78710" target="_blank" >RIV/60460709:41320/18:78710 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1515/forj-2017-0051" target="_blank" >http://dx.doi.org/10.1515/forj-2017-0051</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1515/forj-2017-0051" target="_blank" >10.1515/forj-2017-0051</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Remote sensing-based forest health monitoring systems - case studies from Czechia and Slovakia

Popis výsledku v původním jazyce

Aim of this paper is to present the remote sensing-based systems of forest health assessment in the Czech Republic and Slovakia, and to analyse both their strengths and weaknesses. Nationwide assessment of forest health in the Czech Republic is based on the interpretation of Sentinel-2 satellite data using novel approaches for cloud-free image synthesis based on all available satellite observations. A predictive statistical model to yield time series of leaf area index (LAI) from satellite observations is developed above extensive in-situ data, including Al and forest defoliation assessment. Forest health is evaluated for each pixel from yearly changes of forest LAI, while the country-wise assessment of the health status is performed at the cadastral level. Methodology developed for Slovakia is based on a two-phase regression sampling. The first phase of the procedure provides an initial fast estimate of forest damage using only satellite observations (visible and infrared channels from Landsat or Se

Název v anglickém jazyce

Remote sensing-based forest health monitoring systems - case studies from Czechia and Slovakia

Popis výsledku anglicky

Aim of this paper is to present the remote sensing-based systems of forest health assessment in the Czech Republic and Slovakia, and to analyse both their strengths and weaknesses. Nationwide assessment of forest health in the Czech Republic is based on the interpretation of Sentinel-2 satellite data using novel approaches for cloud-free image synthesis based on all available satellite observations. A predictive statistical model to yield time series of leaf area index (LAI) from satellite observations is developed above extensive in-situ data, including Al and forest defoliation assessment. Forest health is evaluated for each pixel from yearly changes of forest LAI, while the country-wise assessment of the health status is performed at the cadastral level. Methodology developed for Slovakia is based on a two-phase regression sampling. The first phase of the procedure provides an initial fast estimate of forest damage using only satellite observations (visible and infrared channels from Landsat or Se

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

40102 - Forestry

Projekt

<a href="/cs/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Excelentní Výzkum jako podpora Adaptace lesnictví a dřevařství na globální změnu a 4. průmyslovou revoluci</a><br>

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

Lesnicky časopis (Forestry Journal)

ISSN

0323-1046

e-ISSN

—

Svazek periodika

64

Číslo periodika v rámci svazku

3-4

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

17

Strana od-do

259-275

Kód UT WoS článku

000453424700010

EID výsledku v databázi Scopus

2-s2.0-85058472951