A review of major factors influencing the accuracy of mapping green-attack stage of bark beetle infestations using satellite imagery: Prospects to avoid data redundancy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A89676" target="_blank" >RIV/60460709:41320/21:89676 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/abs/pii/S2352938521001749" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S2352938521001749</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.rsase.2021.100638" target="_blank" >10.1016/j.rsase.2021.100638</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A review of major factors influencing the accuracy of mapping green-attack stage of bark beetle infestations using satellite imagery: Prospects to avoid data redundancy

Popis výsledku v původním jazyce

Detecting green-attacked trees on satellite imagery with high accuracy provides very important broad-scale tools required to control the spreads of infestations to healthy trees. The scale or resolution plays a critical role in such equations but very often lacks adequate attentions in remote sensing investigations of environmental issues, including mapping green-attacked trees. We reviewed and synthesized current understanding about mapping green-attacked trees, vegetation remote sensing, and spatial statistics to characterize the uncertainty associated with major factors influencing the accuracy of detecting green-attacked trees. These factors include the spatial, spectral, and temporal resolutions of satellite imagery, and a type of model used. Satellite imagery with spatial resolutions less than 4 m (approximately 2/3 size of the crown diameter of a host tree on average) on bidaily to weekly acquisitions are required to improve the accuracy of mapping infested trees on a continuous basis. Changes

Název v anglickém jazyce

A review of major factors influencing the accuracy of mapping green-attack stage of bark beetle infestations using satellite imagery: Prospects to avoid data redundancy

Popis výsledku anglicky

Detecting green-attacked trees on satellite imagery with high accuracy provides very important broad-scale tools required to control the spreads of infestations to healthy trees. The scale or resolution plays a critical role in such equations but very often lacks adequate attentions in remote sensing investigations of environmental issues, including mapping green-attacked trees. We reviewed and synthesized current understanding about mapping green-attacked trees, vegetation remote sensing, and spatial statistics to characterize the uncertainty associated with major factors influencing the accuracy of detecting green-attacked trees. These factors include the spatial, spectral, and temporal resolutions of satellite imagery, and a type of model used. Satellite imagery with spatial resolutions less than 4 m (approximately 2/3 size of the crown diameter of a host tree on average) on bidaily to weekly acquisitions are required to improve the accuracy of mapping infested trees on a continuous basis. Changes

Druh

J_SC - Článek v periodiku v databázi SCOPUS

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

2021

Kód důvěrnosti údajů

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

Název periodika

Remote Sensing Applications: Society nad Environment

ISSN

2352-9385

e-ISSN

—

Svazek periodika

24

Číslo periodika v rámci svazku

2021

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

000719792700004

EID výsledku v databázi Scopus

2-s2.0-85122663999