About: Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The study established the possibility of rapid evaluation of land cover structure and situation using as an example the Temelín NPP (Nuclear Power Plant) emergency zone. The composition, surface representation and spatial distribution of crop species in the area of interest were assessed on the basis of satellite data analysis (Landsat 5 TM). The supervised classification method of Landsat data yielded 92% accuracy of classification into the land cover classes. A comparison of satellite data classification and field investigation (farmers? and LPIS data) showed that the combination of both methods appears to be ideal for the classification of land cover. Analysis of the assessment of Landsat satellite data showed it was possible to process data in a few days. However, obtaining data was problematic; in our case it was 44 days. The results of the classification as well as other outputs (biomass growth model, expense-to-revenue ratio of measures, route network, LPIS database parcel structure, The study established the possibility of rapid evaluation of land cover structure and situation using as an example the Temelín NPP (Nuclear Power Plant) emergency zone. The composition, surface representation and spatial distribution of crop species in the area of interest were assessed on the basis of satellite data analysis (Landsat 5 TM). The supervised classification method of Landsat data yielded 92% accuracy of classification into the land cover classes. A comparison of satellite data classification and field investigation (farmers? and LPIS data) showed that the combination of both methods appears to be ideal for the classification of land cover. Analysis of the assessment of Landsat satellite data showed it was possible to process data in a few days. However, obtaining data was problematic; in our case it was 44 days. The results of the classification as well as other outputs (biomass growth model, expense-to-revenue ratio of measures, route network, LPIS database parcel structure, (en)
Title	Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination (en)
skos:prefLabel	Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination (en)
skos:notation	RIV/60076658:12220/10:00012574!RIV11-MSM-12220___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(JC_ 1/2008), Z(MSM6007665806)
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Brom, Jakub Procházka, Jan Vinciková, Hana
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Jihočeská univerzita v Českých Budějovicích / Zemědělská fakulta
http://linked.open...dnocenehoVysledku	292930
http://linked.open...ai/riv/idVysledku	RIV/60076658:12220/10:00012574
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	remote sensing; land cover; Landsat 5 TM; vegetation (en)
http://linked.open.../riv/klicoveSlovo	Landsat 5 TM land cover remote sensing vegetation
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[DB5AD7CE6646]
http://linked.open...i/riv/nazevZdroje	Journal of Agrobiology
http://linked.open...in/vavai/riv/obor	GC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	http://linked.opendata.cz/resource/domain/vavai/projekt/JC_%201%2F2008
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	27
http://linked.open...iv/tvurceVysledku	Procházka, Jan Brom, Jakub Vinciková, Hana
http://linked.open...n/vavai/riv/zamer	Sustainable methods of agricultural management in montane and submontane areas with respect to harmonization of the production and nonproduction spheres
issn	1803-4403
number of pages	11 (xsd:int)
http://localhost/t...ganizacniJednotka	12220
is http://linked.open...avai/riv/vysledek of	Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination Timely identification of agricultural crops in the Temelín NPP vicinity using satellite data in the event of radiation contamination

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software