Vegetacijski indeksi - daljinsko zaznavanje stanja vegetacije

Zavrl, Liza (author), Vodnik, Dominik (mentor)

V diplomskem delu so predstavljene teoretične osnove daljinskega zaznavanja, najbolj uporabljeni vegetacijski indeksi, njihova uporaba pri ocenjevanju stanja vegetacije ter integrirani aplikaciji. Podrobneje so obravnavani NDVI, SAVI, PRI, CWSI in LAI indeksi. Vegetacijski indeksi temeljijo na razmerju absorbiranih in odbitih izbranih valovnih dolžin svetlobe. Absorbirana in odbita svetloba pri določeni valovni dolžini se izmeri s pomočjo daljinskega zaznavanja, s spektroradiometričnim snemanjem iz vesolja, letal, dronov ali s tal. Lahko se odločimo ali za multispektralno snemanje, kjer so pasovi valovnih dolžin že preddefinirani, ali pa za hiperspektralno snemanje, kjer se kasneje odločimo, katere valovne dolžine bomo upoštevali, upoštevaje potrebe glede ocenjevanja. Z vegetacijskimi indeksi ocenjujemo primarno produkcijo, fotosintezo, listno biomaso, vodni deficit in stres rastline, evapotranspiracijo in strukturo vegetacije. Z nalogo želim predstaviti uporabnost vegetacijskih indeksov ter osnovno razliko med multispektralnim in hiperspektralnim snemanjem.

• Language: Slovenian
• Keywords: daljinsko zaznavanje, vegetacijski indeks, stanje vegetacije, slikanje, multispektralno, hiperspektralno
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: BF - Biotechnical Faculty
• Publisher: [L. Zavrl]
• Year: 2017
• PID: 20.500.12556/RUL-95708
• UDC: 528.8:581.5:630*58(043.2)
• COBISS.SI-ID: 8782713
• Publication date in RUL: 21.09.2017

ZAVRL, Liza, 2017, Vegetacijski indeksi - daljinsko zaznavanje stanja vegetacije [online]. Bachelor’s thesis. L. Zavrl. [Accessed 24 July 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=95708

Secondary language

• Language: English
• Title: Vegetation indices – remote sensing of vegetation condition

Abstract

My thesis presents theoretical basics for remote sensing, most common vegetation indices, and their use in estimation of vegetation state as well as in integrated applications. Special focus was put on NDVI, SAVI, PRI, CWSI and LAI indices. Vegetation indices are based upon the ratio of absorbed and reflected wavelengths of light. Absorbed and reflected light at a particular wavelength is measured by remote sensing with spectralradiometric imaging from space, planes, drones or ground. Imaging can be done with multispectral imaging which has its wavebands predefined or with hyperspectral imaging where we define wavebands later, according to the evaluation needs. With vegetation indices one can estimate primary production, photosynthesis, leaf biomass, water deficit and plant stress, evapotranspiration and vegetation structure. The aim of the thesis is to present the difference in obtaining data between multispectral and hyperspectral imaging and the usefulness of vegetation indices in practice.

• Keywords: remote sensing, vegetation index, vegetation condition, imaging, multispectral, hyperspectral