Assessment of soil electrical conductivity using remotely sensed thermal data
Laen...
Kuupäev
2018
Kättesaadav alates
Autorid
Křížová, K.
Haberle, J.
Kroulík, M.
Kumhálová, J.
Lukáš, J.
Ajakirja pealkiri
Ajakirja ISSN
Köite pealkiri
Kirjastaja
Abstrakt
Detection of heterogeneity (crop, soil, etc.) gained a lot of importance in the
field
of
site
-
specific farming in recent years and became possible to be measured by different
sensors. The therma
l spectrum of electromagnetic radiation has a great potential today and
experiments focused on describing a relation between canopy temperature and various vegetation
characteristics are conducted. This paper was aimed to examine the relation between canop
y
temperature and electrical conductivity as one of staple soil characteristics. The related
experiment was undertaken in Sojovice, Czech Republic, within an agricultural plot where winter
wheat was grown in 2017 growing season. The examined plot was compo
sed of three sub plots
and 35 control points were selected within this area which the data were related to. A canopy was
sensed by UAV (eBee carrying thermoMAP (FLIR TAU2) camera). Soil conductivity data were
collected by terrestrial sampling using EM38
-
MK
2 Ground Conductivity Meter in 1 m depth and
2 m sampling point distance. This dataset was later interpolated using the kriging method. The
correlation analysis results showed a strong negative correlation between conductivity and
thermal data (
-
0.82;
p
<
0.001
). When comparing conductivity with NDVI representing the
aboveground biomass, there was an opposite trend but also strong result
(0.86;
p
<
0.001
).
Correlation coefficient of thermal data and NDVI comparison was
-
0.86; (
p
<
0.001
). These
preliminary
results have a potential for further research in terms of soil characteristics studies.
Kirjeldus
Article
Märksõnad
precision agriculture, winter wheat, heterogeneity, UAV, kriging, articles