Optical Remote Sensing in Provisioning of Ecosystem-Functions Analysis—Review
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F23%3A73620979" target="_blank" >RIV/61989592:15310/23:73620979 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/1424-8220/23/10/4937" target="_blank" >https://www.mdpi.com/1424-8220/23/10/4937</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s23104937" target="_blank" >10.3390/s23104937</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optical Remote Sensing in Provisioning of Ecosystem-Functions Analysis—Review
Popis výsledku v původním jazyce
Keeping natural ecosystems and their functions in the proper condition is necessary. One of the best contactless monitoring methods is remote sensing, especially optical remote sensing, which is used for vegetation applications. In addition to satellite data, data from ground sensors are necessary for validation or training in ecosystem-function quantification. This article focuses on the ecosystem functions associated with aboveground-biomass production and storage. The study contains an overview of the remote-sensing methods used for ecosystem-function monitoring, especially methods for detecting primary variables linked to ecosystem functions. The related studies are summarized in multiple tables. Most studies use freely available Sentinel-2 or Landsat imagery, with Sentinel-2 mostly producing better results at larger scales and in areas with vegetation. The spatial resolution is a key factor that plays a significant role in the accuracy with which ecosystem functions are quantified. However, factors such as spectral bands, algorithm selection, and validation data are also important. In general, optical data are usable even without supplementary data.
Název v anglickém jazyce
Optical Remote Sensing in Provisioning of Ecosystem-Functions Analysis—Review
Popis výsledku anglicky
Keeping natural ecosystems and their functions in the proper condition is necessary. One of the best contactless monitoring methods is remote sensing, especially optical remote sensing, which is used for vegetation applications. In addition to satellite data, data from ground sensors are necessary for validation or training in ecosystem-function quantification. This article focuses on the ecosystem functions associated with aboveground-biomass production and storage. The study contains an overview of the remote-sensing methods used for ecosystem-function monitoring, especially methods for detecting primary variables linked to ecosystem functions. The related studies are summarized in multiple tables. Most studies use freely available Sentinel-2 or Landsat imagery, with Sentinel-2 mostly producing better results at larger scales and in areas with vegetation. The spatial resolution is a key factor that plays a significant role in the accuracy with which ecosystem functions are quantified. However, factors such as spectral bands, algorithm selection, and validation data are also important. In general, optical data are usable even without supplementary data.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SENSORS
ISSN
1424-8220
e-ISSN
1424-3210
Svazek periodika
23
Číslo periodika v rámci svazku
10
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
24
Strana od-do
"4937-1"-"4937-24"
Kód UT WoS článku
000996185000001
EID výsledku v databázi Scopus
2-s2.0-85160400648