Depiction of uncertainty in the visually interpreted land cover data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73587441" target="_blank" >RIV/61989592:15310/18:73587441 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S1574954117300390" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1574954117300390</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecoinf.2017.10.015" target="_blank" >10.1016/j.ecoinf.2017.10.015</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Depiction of uncertainty in the visually interpreted land cover data

Popis výsledku v původním jazyce

Remote sensing data analysis to infer land cover and the subsequent modelling of land use change are subject to uncertainties, which may have an impact on the accuracy of future land-use predictions. Part of these uncertainties come from the visual interpretation of remote sensing data as during this phase a specific knowledge and expertise are crucial. Visual interpretation includes the meaning of the image content but also goes beyond what can be seen on the image to recognize spatial and landscape patterns. The quality of recognition depends on the expertise in image interpretation and visual perception. Based on this statement, it is necessary to visualize also the information about uncertainty. This paper describes different perspectives of uncertainty visualization on the example of visually interpreted aerial photographs in a mining area. The study is focused on visualization techniques for uncertainty awareness analysis of land cover data. This approach should contribute to better understanding, assessment and potential spreading of visual information of uncertainty and help to appraise the data critically. The goal of this paper is to raise uncertainty awareness among practitioners who deal with land cover data and stress the visualizations techniques as a more reliable means to assess the quality, and hence the uncertainty, of these data.

Název v anglickém jazyce

Depiction of uncertainty in the visually interpreted land cover data

Popis výsledku anglicky

Remote sensing data analysis to infer land cover and the subsequent modelling of land use change are subject to uncertainties, which may have an impact on the accuracy of future land-use predictions. Part of these uncertainties come from the visual interpretation of remote sensing data as during this phase a specific knowledge and expertise are crucial. Visual interpretation includes the meaning of the image content but also goes beyond what can be seen on the image to recognize spatial and landscape patterns. The quality of recognition depends on the expertise in image interpretation and visual perception. Based on this statement, it is necessary to visualize also the information about uncertainty. This paper describes different perspectives of uncertainty visualization on the example of visually interpreted aerial photographs in a mining area. The study is focused on visualization techniques for uncertainty awareness analysis of land cover data. This approach should contribute to better understanding, assessment and potential spreading of visual information of uncertainty and help to appraise the data critically. The goal of this paper is to raise uncertainty awareness among practitioners who deal with land cover data and stress the visualizations techniques as a more reliable means to assess the quality, and hence the uncertainty, of these data.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

<a href="/cs/project/GA16-21053S" target="_blank" >GA16-21053S: Využití přístupů ekologické genomiky k poznání adaptivního významu dormance semen u bobovitých rostlin.</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

Ecological Informatics

ISSN

1574-9541

e-ISSN

—

Svazek periodika

47

Číslo periodika v rámci svazku

SEP

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

4

Strana od-do

10-13

Kód UT WoS článku

000445981800003

EID výsledku v databázi Scopus

2-s2.0-85033456187