Tytuł:

Selected agricultural analyses based on data from MultiSen-PL, the multi-sensor airborne remote sensing station

Tytuł odmienny:

Wybrane analizy rolnicze na podstawie danych z wielosensorowej pokładowej stacji teledetekcyjnej MultiSen-PL

Twórca:

Sieczkiewicz, Marta ; Jedynak, Łukasz ; Wyczałek, Ireneusz ; Wyczałek-Jagiełło, Michał

Temat:

remote sensing station ; agricultural analyses ; RE band ; Vegetation Indices

Opis:

The RE band of electromagnetic radiation has recently become the subject of interest in remote sensing due to its greater penetration into the plant structure than the commonly used NIR band. It is particularly important in cultivating corn, which is characterised by considerable thick foliage during the growth period. While sensors equipped with this channel are used in satellite remote sensing and onboard drones, they are not implemented in airborne imaging systems. An airborne remote sensing station was constructed, including, in addition to the traditional R, G, B and NIR image components, also the RE channel and a laser scanner (ALS). Data processing involves geometric calibration and the creation of a multi-channel orthophoto map. The data processed in this way was tested by analysing several series of aerial recordings of a corn field, which involved developing interpretation keys based on selected vegetation indices and assigning individual groups of pixels with five plant health classes. This study focused on the comparative assessment of the effects of using the NDVI, GNDVI, NDRE and SAVI indices, comparing their results to yield measurements (CHM) and the results of field measurements of plants at the end of the growing season. Promising results with a high degree of correlation were obtained.

Miejsce wydania:

Koszalin

Wydawca:

Politechnika Koszalińska

Data:

2024

Typ:

rozdział w książce

Język:

eng

Jest częścią:

Rocznik Ochrona Środowiska. Vol. 26, s. 1-17

Prawa:

Biblioteka Politechniki Koszalińskiej

Prawa dostępu:

internet

Licencja:

Creative Commons BY-SA 4.0