Spatial and Temporal Pasture Biomass Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data

Autor:	N.A. Lyons, Cameron E. F. Clark, Sergio C. Garcia, Juan Gargiulo, Peter Beale, Gaspard de Veyrac
Rok vydání:	2020
Předmět:	digital agriculture 010504 meteorology & atmospheric sciences Science Biomass Satellite system Atmospheric sciences 01 natural sciences Pasture Normalized Difference Vegetation Index remote sensing Planet Grazing Metre grazing 0105 earth and related environmental sciences geography geography.geographical_feature_category 0402 animal and dairy science 04 agricultural and veterinary sciences 040201 dairy & animal science precision dairy farming General Earth and Planetary Sciences Environmental science Satellite
Zdroj:	Remote Sensing, Vol 12, Iss 3222, p 3222 (2020) Remote Sensing; Volume 12; Issue 19; Pages: 3222
ISSN:	2072-4292
DOI:	10.3390/rs12193222
Popis:	There is a substantial opportunity to lift feed utilization and profitability on pasture-based dairy systems through both increased pasture monitoring accuracy and frequency. The first objective of this experiment was to determine the impact of the number of electronic rising plate meter (RPM) readings and walking pattern on the accuracy of the RPM to determine pasture biomass. The second objective was to evaluate current satellite technology (i.e., small CubeSats and traditional large satellites) in combination with the electronic RPM as an accurate tool for systematic pasture monitoring. The experiment was conducted from October to December 2019 at Camden, Australia. Two experimental paddocks, each of 1.1 ha, were sown with annual ryegrass and monitored with an electronic RPM integrated with Global Navigation Satellite System and with two different satellites (Planet CubeSats and Sentinel-2 satellite). Here we show that 70 RPM readings achieve a ± 5% error in the pasture biomass estimations (kg DM/ha), with no effect of the walking pattern on accuracy. The normalized difference vegetation index (NDVI) derived from satellites showed a good correlation with pasture biomass estimated using the electronic RPM (R2 0.74–0.94). Satellite pasture biomass and growth rate estimations were similar to RPM in one regrowth period but underestimated by ≈20% in the other. Our results also reveal that the accuracy of uncalibrated satellites (i.e., biomass estimated using NDVI to kg DM/ha standard equations) is low (R2 0.61, RMSE566–1307 kg DM/ha). However, satellites calibrated with a RPM showed greater accuracy in the estimations (R2 0.72, RMSE255 kg DM/ha). Current satellite technology, when used with the electronic RPM, has the potential to not only reduce the time required to monitor pasture biomass manually but provide finer scale measurements of pasture biomass within paddocks. Further work is required to test this hypothesis, both spatially and temporally.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d02ef00de1f7ec374b0e8bb8a024c8e5 https://doi.org/10.3390/rs12193222 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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