Impact of leaf area index on the grassland yield prediction
Type
Monograph chapter conference
Language
English
Date issued
2024
Author
Dąbrowska-Zielińska, Katarzyna
Editor
Klootwijk, C. W.
Bruinenberg, M.
Cougnon, M.
Hoekstra, N. J.
Ripoll-Bosch, R.
Schelfhout, S,
Schils, R. L. M.
Vanden Nest, T.
van Eekeren, N.
Voskamp-Harkema, W.
van den Pol-van Dasselaar, A.
Faculty
Wydział Rolnictwa, Ogrodnictwa i Biotechnologii
PBN discipline
agriculture and horticulture
Publisher
Koninklijke Brill BV
Pages from-to
756-758
Monograph title
Why grasslands?: Proceedings of the 30th General Meeting of the European Grassland Federation Leeuwarden, the Netherlands 9-13 June 2024
Abstract (PL)
Celem naszych badań była ocena przydatności LAI obliczonego z danych satelitarnych (LAI-sat) do prognozowania plonów użytków zielonych na podstawie relacji między wskaźnikami plonu mierzonymi in situ a LAI obliczonym z wartości in situ (LAI-cept) w porównaniu z relacjami między tymi wskaźnikami a danymi LAI-sat. Badania przeprowadzono w latach 2020–2023 na trwałych użytkach zielonych zlokalizowanych w gospodarstwach mlecznych w środkowo-zachodniej Polsce. Na każdym użytku zielonym pomiary naziemne wykonywano na reprezentatywnej powierzchni badawczej o wymiarach 30 m×30 m co 2–3 tygodnie w okresie wegetacji. Plon świeżej i suchej masy określano na podstawie próbek biomasy pobranych za pomocą ramki kwadratowej. Dodatkowo mierzono wysokość runi za pomocą miernika płytkowego Jenquip EC20. LAI-cept mierzono za pomocą ceptometru AccuPAR LP-80, a LAI-sat uzyskano z platformy Weekeo na podstawie obrazów satelitarnych Sentinel-2 o rozdzielczości 10 m pikseli. Analiza statystyczna wykazała, że wszystkie testowane zależności miały wysokie współczynniki korelacji. Dokładność między LAI a FM lub DM była nieznacznie wyższa dla LAI-sat niż dla LAI-cept. Wnioskujemy, że LAI dostarczane z danych satelitarnych może być wykorzystywane do wspierania rolników zajmujących się użytkami zielonymi w podejmowaniu właściwych decyzji zarządczych.
Abstract (EN)
The aim of our study was to evaluate the suitability of LAI calculated from satellite data (LAI-sat) for grassland yield prediction based on relations between in-situ ground measured yield indicators and
LAI computed from in-situ values (LAI-cept) compared to relations between those indicators and LAI-sat data. The research was carried out in the years 2020–2023 on permanent grasslands located in dairy farms in central-western Poland. In each grassland, ground measurements were carried out in a representative 30 m×30 m plot every 2–3 weeks during the growing season. Fresh and dry matter yield was determined from biomass samples collected using a quadrat frame. Additionally, compressed sward height was measured using a Jenquip EC20 plate meter. LAI-cept was measured using AccuPAR LP-80 ceptometer and LAI-sat was obtained from platform Weekeo based on Sentinel-2 satellite images at 10 m pixel resolution. Statistical analysis has shown that all the tested relations had high correlation coefficients. The accuracy between LAI and FM or DM was slightly higher for LAI-sat than for LAI-cept. We conclude that LAI delivered from satellite data can be used to support grassland farmers to make proper management decisions.
LAI computed from in-situ values (LAI-cept) compared to relations between those indicators and LAI-sat data. The research was carried out in the years 2020–2023 on permanent grasslands located in dairy farms in central-western Poland. In each grassland, ground measurements were carried out in a representative 30 m×30 m plot every 2–3 weeks during the growing season. Fresh and dry matter yield was determined from biomass samples collected using a quadrat frame. Additionally, compressed sward height was measured using a Jenquip EC20 plate meter. LAI-cept was measured using AccuPAR LP-80 ceptometer and LAI-sat was obtained from platform Weekeo based on Sentinel-2 satellite images at 10 m pixel resolution. Statistical analysis has shown that all the tested relations had high correlation coefficients. The accuracy between LAI and FM or DM was slightly higher for LAI-sat than for LAI-cept. We conclude that LAI delivered from satellite data can be used to support grassland farmers to make proper management decisions.
License
Other
Other Series
Grassland Science in Europe
Conference title
Why grasslands?