Monitoring of Water Use, Drought and Yield Impacts Using Imagery from Multiple Satellites

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F15%3A43908099" target="_blank" >RIV/62156489:43210/15:43908099 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67179843:_____/15:00448525

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Monitoring of Water Use, Drought and Yield Impacts Using Imagery from Multiple Satellites

Popis výsledku v původním jazyce

Agricultural monitoring systems require information with continuous spatial and temporal sampling, ideally collected at daily timesteps and at spatial scales from county level down to field scale. While remote sensing data significantly improve on the spatial sampling provided by ground-based observation networks, no single satellite provides both the high spatial and temporal resolution required for agricultural decision making. Here we describe a data fusion approach for combining estimates of evapotranspiration (ET) generated from multiple satellites for monitoring daily crop water use at field scale, as well as for providing early warning of developing crop stress and associated yield anomalies. The key diagnostic inputs to the modeling system aremulti-scale satellite retrievals of land-surface temperature, which serve as a proxy indicator of the surface moisture status within an energy balance framework. Example applications of these tools for drought monitoring and yield forecas

Název v anglickém jazyce

Monitoring of Water Use, Drought and Yield Impacts Using Imagery from Multiple Satellites

Popis výsledku anglicky

Agricultural monitoring systems require information with continuous spatial and temporal sampling, ideally collected at daily timesteps and at spatial scales from county level down to field scale. While remote sensing data significantly improve on the spatial sampling provided by ground-based observation networks, no single satellite provides both the high spatial and temporal resolution required for agricultural decision making. Here we describe a data fusion approach for combining estimates of evapotranspiration (ET) generated from multiple satellites for monitoring daily crop water use at field scale, as well as for providing early warning of developing crop stress and associated yield anomalies. The key diagnostic inputs to the modeling system aremulti-scale satellite retrievals of land-surface temperature, which serve as a proxy indicator of the surface moisture status within an energy balance framework. Example applications of these tools for drought monitoring and yield forecas

Druh

C - Kapitola v odborné knize

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

—

Projekt

<a href="/cs/project/EE2.3.20.0248" target="_blank" >EE2.3.20.0248: Vytvoření interdisciplinárního vědeckého týmu se zaměřením na výzkum sucha</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Evaluation of drought and drought impacts through interdisciplinary methods

ISBN

978-80-87902-12-7

Počet stran výsledku

5

Strana od-do

42-46

Počet stran knihy

99

Název nakladatele

Centrum výzkumu globální změny AV ČR, v.v.i.

Místo vydání

Brno

Kód UT WoS kapitoly

—