Double down on remote sensing for biodiversity estimation: a biological mindset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91592" target="_blank" >RIV/60460709:41330/22:91592 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s42974-022-00113-7" target="_blank" >https://link.springer.com/article/10.1007/s42974-022-00113-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s42974-022-00113-7" target="_blank" >10.1007/s42974-022-00113-7</a>
Alternative languages
Result language
angličtina
Original language name
Double down on remote sensing for biodiversity estimation: a biological mindset
Original language description
In the light of unprecedented planetary changes in biodiversity, real-time and accurate ecosystem and biodiversity assessments are becoming increasingly essential for informing policy and sustainable development. Biodiversity monitoring is a challenge, especially for large areas such as entire continents. Nowadays, spaceborne and airborne sensors provide information that incorporate wavelengths that cannot be seen nor imagined with the human eye. This is also now accomplished at unprecedented spatial resolutions, defined by the pixel size of images, achieving less than a meter for some satellite images and just millimeters for airborne imagery. Thanks to different modeling techniques, it is now possible to study functional diversity changes over different spatial and temporal scales. At the heart of this unifying framework are the spectral species-sets of pixels with a similar spectral signal-and their variability over space. The aim of this paper is to summarize the power of remote sensing for direc
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - 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)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
COMMUNITY ECOLOGY
ISSN
1585-8553
e-ISSN
1588-2756
Volume of the periodical
23
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
267-276
UT code for WoS article
000865936200001
EID of the result in the Scopus database
2-s2.0-85139680151