Assessing the Feasibility of Using Remote Sensing Data and Vegetation Indices in the Estimation of Land Subject to Consolidation

The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values....

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Vydané v:Sensors (Basel, Switzerland) Ročník 24; číslo 23; s. 7736
Hlavní autori: Kocur-Bera, Katarzyna, Małek, Anna
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland MDPI AG 03.12.2024
MDPI
Predmet:
Agricultural land
Agricultural production
Agriculture
Biodiversity
Drone aircraft
Energy consumption
Environmental protection
land consolidation
Land use
Natural resources
NDVI
photogrammetry
Poland
Remote sensing
Rural areas
Rural development
Satellites
SAVI
Subsidies
Sustainable development
UAV multispectral images
Unmanned aerial vehicles
Valuation
Vegetation
Poland
Netherlands
UAV multispectral images
land consolidation
NDVI
SAVI
photogrammetry
ISSN:1424-8220, 1424-8220
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Shrnutí:The values of vegetation indices can provide a new source of data for use in the estimation of land to be consolidated. The results of research work carried out so far indicate a significant advantage of low-volume imaging over satellite methods when it comes to calculating vegetation index values. This paper analyses multispectral images for the areas of selected croplands acquired via the Sentinel-2 satellite and an unmanned aerial vehicle (UAV) equipped with a multispectral camera. The research work consisted of evaluating NDVI (Normalised Difference Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) values depending on the type of crop grown, the size of the cultivated area and the method of data acquisition. The data obtained were used to assess their potential use in the estimation of land to be consolidated. The effect of land consolidation is primarily to create more favourable living conditions and increase agricultural productivity. The results of the study showed that it would be preferable to use multispectral images acquired using UAVs rather than those from Sentinel satellites. This is due to the insufficient resolution of the satellite data, the correlation of NDVI and SAVI values at only a satisfactory level and the low accuracy of the data obtained for small registered plots of land.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s24237736