Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F17%3A43911610" target="_blank" >RIV/62156489:43210/17:43911610 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14310/17:00097281 RIV/49777513:23520/17:43932208

Result on the web

<a href="https://doi.org/10.3390/ijgi6080238" target="_blank" >https://doi.org/10.3390/ijgi6080238</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ijgi6080238" target="_blank" >10.3390/ijgi6080238</a>

Result language

angličtina

Original language name

Disaster Risk Reduction in Agriculture through Geospatial (Big) Data Processing

Original language description

Intensive farming on land represents an increased burden on the environment due to, among other reasons, the usage of agrochemicals. Precision farming can reduce the environmental burden by employing site specific crop management practices which implement advanced geospatial technologies for respecting soil heterogeneity. The objectives of this paper are to 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. Three 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 through the developed MapLogAgri application; (2) agrometeorological observation in the form of a wireless sensor network together with the SensLog solution for storing, analysing, and publishing sensor data; and (3) 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. The conducted tests demonstrated the transferability of agricultural techniques to crisis/emergency management domains.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

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

Name of the periodical

ISPRS International Journal of Geo-Information

ISSN

2220-9964

e-ISSN

—

Volume of the periodical

6

Issue of the periodical within the volume

8

Country of publishing house

CH - SWITZERLAND

Number of pages

11

Pages from-to

&quot;nestrankovano&quot;

UT code for WoS article

000408868400010

EID of the result in the Scopus database

2-s2.0-85027499867