About: Assessment of soil variability based on the satellite imagery.

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

About: Assessment of soil variability based on the satellite imagery. 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
rdfs:seeAlso	http://www.istro.cz/soub/ISTROCZ_2014_Proceedings.pdf
Description	The aim of this paper is to compare two sets of remote sensing data, acquired between 2012 and 2013, for assessing the variability of arable land. Data are capturing the South Moravien Region with a total area of 1100 km2 by RapidEye (2012) and Landsat 8 (2013) satellites. As the other input data, field boundaries from government database iLPIS were used to identify the blocks of arable land. The first step was a selection of arable land through polygons from the iLPIS and identification of bare soil by calculation of normalized differential vegetation index (NDVI) from spectral data. An image classification was performed on these grounds in order to create class of information describing the spectrum of surfaces forming the bare soils. Comparison of both satellite datasets proved difference between the images. Landsat 8 data showed higher error, probably due to the lower spatial resolution of data (30 m per pixel). In this case Rapid Eye imagery offers higher spatial resolution (5 m per pixel), which seems to be more suitable for identification of soil heterogeneity, especially in smaller fields. The aim of this paper is to compare two sets of remote sensing data, acquired between 2012 and 2013, for assessing the variability of arable land. Data are capturing the South Moravien Region with a total area of 1100 km2 by RapidEye (2012) and Landsat 8 (2013) satellites. As the other input data, field boundaries from government database iLPIS were used to identify the blocks of arable land. The first step was a selection of arable land through polygons from the iLPIS and identification of bare soil by calculation of normalized differential vegetation index (NDVI) from spectral data. An image classification was performed on these grounds in order to create class of information describing the spectrum of surfaces forming the bare soils. Comparison of both satellite datasets proved difference between the images. Landsat 8 data showed higher error, probably due to the lower spatial resolution of data (30 m per pixel). In this case Rapid Eye imagery offers higher spatial resolution (5 m per pixel), which seems to be more suitable for identification of soil heterogeneity, especially in smaller fields. (en)
Title	Assessment of soil variability based on the satellite imagery. Assessment of soil variability based on the satellite imagery. (en)
skos:prefLabel	Assessment of soil variability based on the satellite imagery. Assessment of soil variability based on the satellite imagery. (en)
skos:notation	RIV/62156489:43210/14:00223103!RIV15-MZE-43210___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(QI111A133)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Lukas, Vojtěch Novák, Jaroslav Křen, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Mendelova univerzita v Brně / Agronomická fakulta
http://linked.open...dnocenehoVysledku	4301
http://linked.open...ai/riv/idVysledku	RIV/62156489:43210/14:00223103
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	coefficient of variation; soil heterogeneity; RapidEye; Landsat 8; remote sensing; NDVI (en)
http://linked.open.../riv/klicoveSlovo	coefficient of variation remote sensing NDVI soil heterogeneity Landsat 8 RapidEye
http://linked.open...ontrolniKodProRIV	[80F83E862A85]
http://linked.open...v/mistoKonaniAkce	Křtiny
http://linked.open...i/riv/mistoVydani	Czech Republic
http://linked.open...i/riv/nazevZdroje	Soil management in sustainable farming systems.
http://linked.open...in/vavai/riv/obor	DF
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Improvement of cereal variety potential realisation using temporal and spatial analysis of stand spectral characteristic
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Lukas, Vojtěch Novák, Jaroslav Křen, Jan
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2014-06-25 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Research Institute for Fodder Crops Ltd., Troubsko
https://schema.org/isbn	978-80-86908-32-8
http://localhost/t...ganizacniJednotka	43210

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, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software