Disaster Risk Management towards Healthier Soils in Crisis Situations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00122639" target="_blank" >RIV/00216224:14310/21:00122639 - isvavai.cz</a>

Výsledek na webu

<a href="https://geospatialworldforum.org/speakers-bio.asp?id=gwf2021B103" target="_blank" >https://geospatialworldforum.org/speakers-bio.asp?id=gwf2021B103</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Disaster Risk Management towards Healthier Soils in Crisis Situations

Popis výsledku v původním jazyce

Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals or heavy machinery. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. We present the frontier approaches of geospatial (Big) data processing based on satellite and sensor data which both aim at the prevention and mitigation phases of disaster risk reduction in agriculture. Two techniques are presented in order to demonstrate the possibilities of geospatial (Big) data collection in agriculture: (1) farm machinery telemetry for providing data about machinery operations on fields; (2) remote sensing for monitoring field spatial variability and crop status by means of freely-available high resolution satellite imagery. The benefits of re-using the techniques in disaster risk reduction processes are discussed, as well as the transferability of agricultural techniques to crisis/emergency management domains.

Název v anglickém jazyce

Disaster Risk Management towards Healthier Soils in Crisis Situations

Popis výsledku anglicky

Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals or heavy machinery. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. We present the frontier approaches of geospatial (Big) data processing based on satellite and sensor data which both aim at the prevention and mitigation phases of disaster risk reduction in agriculture. Two techniques are presented in order to demonstrate the possibilities of geospatial (Big) data collection in agriculture: (1) farm machinery telemetry for providing data about machinery operations on fields; (2) remote sensing for monitoring field spatial variability and crop status by means of freely-available high resolution satellite imagery. The benefits of re-using the techniques in disaster risk reduction processes are discussed, as well as the transferability of agricultural techniques to crisis/emergency management domains.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10508 - Physical geography

Projekt

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Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2021

Kód důvěrnosti údajů

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