Helical graphs to visualize the NDVI temporal variation of forest vegetation in an open source space

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F23%3A97210" target="_blank" >RIV/60460709:41330/23:97210 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ecoinf.2022.101956" target="_blank" >http://dx.doi.org/10.1016/j.ecoinf.2022.101956</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecoinf.2022.101956" target="_blank" >10.1016/j.ecoinf.2022.101956</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Helical graphs to visualize the NDVI temporal variation of forest vegetation in an open source space

Popis výsledku v původním jazyce

Global change caused by human activity (e.g., land fragmentation, deforestation, pollution, anthropization of natural landscapes) has several effects on the biomes of the Earth, leading to alterations in the functioning of ecological systems. In this context, remote sensing represents an important tool to assess ecosystem changes, as it allows to collect a huge amount of data at different temporal and spatial resolutions concerning various com-partments of the Earth system (land, ocean, atmosphere, and cryosphere). This information can be used to es-timate precipitation patterns, global temperatures, snow cover and aerosol concentrations. The aim of this work is to exploit this wide availability of data to display the ecosystem changes using a new visualization method: the helical graphs. The helical graphs represent the change of a variable over time, reporting on the y-axis its moving averages and on the x-axis its rates of change.These new charts were tested on the NDVI index retrieved from Google Earth Engine (https://earthengine.goo gle.com/) to visualize trends on selected biomes of the Earth (tropical and boreal forests). The results show that the helical graphs are a useful tool to highlight trends that might not be easily detected in a time series. In conclusion, the helical graphs can have a lot of application in ecology, especially exploiting the wide amount of data available thanks to the remote sensing.

Název v anglickém jazyce

Helical graphs to visualize the NDVI temporal variation of forest vegetation in an open source space

Popis výsledku anglicky

Global change caused by human activity (e.g., land fragmentation, deforestation, pollution, anthropization of natural landscapes) has several effects on the biomes of the Earth, leading to alterations in the functioning of ecological systems. In this context, remote sensing represents an important tool to assess ecosystem changes, as it allows to collect a huge amount of data at different temporal and spatial resolutions concerning various com-partments of the Earth system (land, ocean, atmosphere, and cryosphere). This information can be used to es-timate precipitation patterns, global temperatures, snow cover and aerosol concentrations. The aim of this work is to exploit this wide availability of data to display the ecosystem changes using a new visualization method: the helical graphs. The helical graphs represent the change of a variable over time, reporting on the y-axis its moving averages and on the x-axis its rates of change.These new charts were tested on the NDVI index retrieved from Google Earth Engine (https://earthengine.goo gle.com/) to visualize trends on selected biomes of the Earth (tropical and boreal forests). The results show that the helical graphs are a useful tool to highlight trends that might not be easily detected in a time series. In conclusion, the helical graphs can have a lot of application in ecology, especially exploiting the wide amount of data available thanks to the remote sensing.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

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

1574-9541

Svazek periodika

74

Číslo periodika v rámci svazku

101956

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

000919647600001

EID výsledku v databázi Scopus

2-s2.0-85145742616