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| rdf:type
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| rdfs:seeAlso
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| Description
| - Knowledge of the level of variability of site conditions is the basis for deciding on deployment of technologies locally targeted farming, known under the term precision agriculture. 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 Rapid Eye (2012) and Landsat 8 (2013) satellites. As the other input data, field boundaries from government database LPIS were used to identify the blocks of arable land. The first step was a selection of arable land through polygons from the LPIS 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.
- Knowledge of the level of variability of site conditions is the basis for deciding on deployment of technologies locally targeted farming, known under the term precision agriculture. 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 Rapid Eye (2012) and Landsat 8 (2013) satellites. As the other input data, field boundaries from government database LPIS were used to identify the blocks of arable land. The first step was a selection of arable land through polygons from the LPIS 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)
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| Title
| - Rating of soil heterogeneity using by satellite images.
- Rating of soil heterogeneity using by satellite images. (en)
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| skos:prefLabel
| - Rating of soil heterogeneity using by satellite images.
- Rating of soil heterogeneity using by satellite images. (en)
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| skos:notation
| - RIV/62156489:43210/14:00229741!RIV15-MZE-43210___
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/62156489:43210/14:00229741
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - NDVI; Landsat 8; remote sensing; coefficient of variation; Rapid Eye; soil heterogenity (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...v/mistoKonaniAkce
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| http://linked.open...i/riv/mistoVydani
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| http://linked.open...i/riv/nazevZdroje
| - MendelNet 2014 - Proceedings of International PhD Students Conference
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
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| http://linked.open...iv/tvurceVysledku
| - Lukas, Vojtěch
- Novák, Jaroslav
- Křen, Jan
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| http://linked.open...vavai/riv/typAkce
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| http://linked.open.../riv/zahajeniAkce
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| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
| - Mendel University in Brno
|
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
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