Assessing the Nutritional Status of Field Crops Using Remote Sensing During the Growing Season

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F24%3A43926214" target="_blank" >RIV/62156489:43210/24:43926214 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Assessing the Nutritional Status of Field Crops Using Remote Sensing During the Growing Season

Original language description

Plant nutritional status is one of the most important indicators of stand vigour that can be monitored using remote sensing techniques. In this study, we focused on the possibility of assessing crop nutritional status, which was evaluated by plant nitrogen content, using different multispectral Earth remote sensing systems throughout the growing season. Core data were obtained from Sentinel-2 and PlanetScope satellites, and the data were compared with data obtained from ground-based measurements (Trimble Greenseeker Handheld, YARA N-tester). The study focused on comparing data from the Sentinel-2 satellite, which provides images with a resolution of 10 meters per pixel (B, G, R, NIR) and 20 meters per pixel (RE, SWIR) every 3-4 days, depending on the area surveyed and the satellite&apos;s flyby path. Another system compared was the PlanetScope satellite constellation, which has a higher spatial resolution of 3.7 meters per pixel (R, G, B, NIR) at a temporal resolution of 1-2 days; 8-band resolution imagery was used here. Based on a field experiment conducted in 2023 at the Uhercice site, where regular biomass sampling (winter barley) was conducted throughout the growing season. The results showed a high degree of correlation between vegetation indices calculated from multispectral imagery and stand parameters measured by ground survey (nitrogen content, NDVI, chlorophyll content, aboveground biomass). The highest correlation values were achieved for vegetation indices calculated from the NIR band (NDMI, NDVI, NRERI), with the highest correlation values achieved on the first biomass sampling date, and lower correlations on the other two dates. Thus, the results suggest that satellite data can be used to determine the nutritional status of plants, especially in the early stages of vegetation development. These data can then be used as prescription maps for variability of fertilizer or growth regulator rates.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

40101 - Agriculture

Project

<a href="/en/project/TQ03000882" target="_blank" >TQ03000882: Identification of management zones in precision agriculture using the combination of optical and radar satellite remote sensing of field crops</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů