Feasibility study of vegetation indices derived from Sentinel-2 and PlanetScope satellite images for validating the LAI biophysical parameter to monitoring development stages of winter wheat

• Autorzy: Gurdak Radoslaw , Grzybowski Patryk

Warianty tytułu

PL

Studium wykonalności wykorzystania wskaźników roślinnych generowanych na podstawie obrazów satelitarnych Sentinel-2 i PlanetScope do monitorowania faz rozwoju pszenicy ozimej

• Języki publikacji: EN

Abstrakty

EN

The main objective of the presented work is to assess applicability of vegetation indices derived from non-commercial and commercial satellites for monitoring development stages of winter wheat. Two types of data were used in the study: Sentinel-2 and PlanetScope images. Various vegetation indices were derived from these data and correlated with ground measured LAI values. The results of the study revealed that there is a good relationship between satellite based indices – Normalized Difference Vegetation Index – NDVI, Enhanced Vegetation Index – EVI, Soil Adjusted Vegetation Index – SAVI and ground based LAI, but strength of this relation depends on the phase of crop development. Sentinel-2 and PlanetScope data are suitable for estimating LAI with high accuracy and their precision for LAI determination is very similar. Depending on availability, they can be used interchangeably. The highest correlation between ground measured LAI and vegetation indices for Sentinel-2 appeared SAVI – r = 0.862 (phase: early tillering) and for PlanetScope NDVI – r = 0.667 (phase: ripening). Compatibility of average LAI values derived from PlanetScope and Sentinel-2 images are 33.21% and 10.63%.

PL

Głównym celem prezentowanej pracy jest ocena przydatności wskaźników roślinnych pochodzących z komercyjnego i niekomercyjnego satelity do monitorowania faz rozwoju pszenicy ozimej. W badaniach wykorzystano dwa typy danych: zobrazowania satelitarne PlanetScope i Sentinel-2. Na ich podstawie wygenerowano różne wskaźniki wegetacji i skorelowano je z wartościami LAI pomierzonymi w terenie. Wyniki analiz wykazały, że istnieje wysoki związek pomiędzy wskaźnikami NDVI, EVI i SAVI a naziemnymi wartościami LAI. Okazało się, że siła tej zależności zależy od fazy rozwoju upraw. Stwierdzono, że zobrazowania satelitarne Sentinel-2 i PlanetScope pozwalają na szacowania LAI z dużą dokładnością, a dokładność obu danych jest podobna. W zależności od dostępności bezchmurnych zdjęć, obrazy można stosować zamiennie.

Słowa kluczowe

EN

PlanetScope satellite image; Sentinel-2; leaf area index; vegetation indices; winter wheat

PL

obraz satelitarny PlanetScope; Sentinel-2; wskaźnik projekcyjny liści; wskaźniki roślinne; pszenica ozima

• Wydawca: Instytut Geodezji i Kartografii
• Czasopismo: Geoinformation Issues
• Rocznik: 2018
• Tom: Vol. 10, no. 1(10)
• Strony: 27--35
• Opis fizyczny: Bibliogr. 21 poz., rys., tab., wykr.

Twórcy

autor

Gurdak Radoslaw

• University of Warsaw, Faculty of Geography and Regional Studies, Department of Geoinformatics, Cartography and Remote Sensing; Institute of Geodesy and Cartography, 27 Modzelewskiego St., 02-679, Warsaw, Poland, Tel.: [phone], Fax: [phone], ORCID: https://orcid.org/0000-0001-8991-7306

autor

Grzybowski Patryk

• Institute of Geodesy and Cartography, 27 Modzelewskiego St., 02-679, Warsaw, Poland, Tel.: [phone], Fax: [phone], ORCID: https://orcid.org/0000-0002-2950-1592

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).