Evaluation of Ecological Integrity in Landscape Based on Remote Sensing Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11240%2F20%3A10414452" target="_blank" >RIV/00216208:11240/20:10414452 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-030-46259-8_14" target="_blank" >https://doi.org/10.1007/978-3-030-46259-8_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-46259-8_14" target="_blank" >10.1007/978-3-030-46259-8_14</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluation of Ecological Integrity in Landscape Based on Remote Sensing Data
Popis výsledku v původním jazyce
Sustaining ecological integrity is recognized worldwide as a strategic objective (e.g. the 2015 Paris Agreement), but a general consensus on the overall methodology for assessing ecological integrity is still missing. This chapter presents a contribution to the method of ecological integrity evaluation, using simple and theoretically grounded method to calculate three holistic indicators: exergy capture, biotic water flows and abiotic heterogeneity, utilizing open access remote sensing data (Sentinel-2 and Landsat 8). Three variables are proposed as a representation of the respective indicators: NDVI (Normalized Difference Vegetation Index), brightness temperature (BT) and vegetation surface heterogeneity (HG). Forests and wetlands have obtained higher results in the selected integrity indicators, while arable lands and urban areas relatively lower. The relative distance between the potential peak and the lowest performance in a landscape context is obtained by calculating a composite Regional Index of Ecological Integrity (RIEI [%]). The proposed approach can be used for various purposes including localization of naturally valuable areas, estimation of ecosystem condition or performance of ecosystem management.
Název v anglickém jazyce
Evaluation of Ecological Integrity in Landscape Based on Remote Sensing Data
Popis výsledku anglicky
Sustaining ecological integrity is recognized worldwide as a strategic objective (e.g. the 2015 Paris Agreement), but a general consensus on the overall methodology for assessing ecological integrity is still missing. This chapter presents a contribution to the method of ecological integrity evaluation, using simple and theoretically grounded method to calculate three holistic indicators: exergy capture, biotic water flows and abiotic heterogeneity, utilizing open access remote sensing data (Sentinel-2 and Landsat 8). Three variables are proposed as a representation of the respective indicators: NDVI (Normalized Difference Vegetation Index), brightness temperature (BT) and vegetation surface heterogeneity (HG). Forests and wetlands have obtained higher results in the selected integrity indicators, while arable lands and urban areas relatively lower. The relative distance between the potential peak and the lowest performance in a landscape context is obtained by calculating a composite Regional Index of Ecological Integrity (RIEI [%]). The proposed approach can be used for various purposes including localization of naturally valuable areas, estimation of ecosystem condition or performance of ecosystem management.
Klasifikace
Druh
C - Kapitola v odborné knize
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
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Ecological Integrity in Science and Law
ISBN
978-3-030-46258-1
Počet stran výsledku
13
Strana od-do
161-173
Počet stran knihy
264
Název nakladatele
Springer, Cham
Místo vydání
Švýcarsko
Kód UT WoS kapitoly
—