Optical Remote Sensing in Provisioning of Ecosystem-Functions Analysis—Review

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Optical Remote Sensing in Provisioning of Ecosystem-Functions Analysis—Review

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

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

Name of the periodical

SENSORS

ISSN

1424-8220

e-ISSN

1424-3210

Volume of the periodical

23

Issue of the periodical within the volume

10

Country of publishing house

CH - SWITZERLAND

Number of pages

24

Pages from-to

"4937-1"-"4937-24"

UT code for WoS article

000996185000001

EID of the result in the Scopus database

2-s2.0-85160400648