Ocena możliwości wykorzystania satelitarnych danych optycznych i radarowych do identyfikacji typów użytków rolnych

• Autorzy: Ewa Grabska

Warianty tytułu

Assessment of a Potential Use of Satellite Optical and Radar Data for the Identification of Agriculture Land Types

• Języki publikacji: PL

Abstrakty

Łączenie danych satelitarnych pochodzących z różnych źródeł jest powszechnie stosowaną techniką w badaniach dotyczących pokrycia terenu i użytkowania ziemi. Łączenie danych o różnych zakresach spektralnych pozwala m.in. na zwiększenie rozróżnialności obiektów na powierzchni Ziemi, a tym samym na osiągnięcie wyższej dokładności ich klasyfikacji. Celem opracowania jest ocena możliwości wykorzystania zintegrowanych danych optycznych (obrazy satelitarne pochodzące z satelity Landsat 8, z sensora OLI) i radarowych (obrazy pochodzące z satelity Sentinel-1A) do identyfikacji typów użytków rolnych. Obszarem testowym jest fragment Karpat Polskich - Kotlina Żywiecka, charakteryzująca się występowaniem pól uprawnych o zróżnicowanej wielkości. W artykule przetestowano sześć metod integracji danych satelitarnych (IHS, HPF, PCA, Brovey, Ehlers, transformacje falkowe) oraz dwa algorytmy klasyfikacyjne (wektory maszyn nośnych, ang. Support Vector Machines, SVM i Random Forest). Uzyskane wyniki pozwalają stwierdzić, że wykorzystanie zintegrowanych danych optycznych i radarowych jest efektywnym podejściem w klasyfikacji upraw rolnych - najwyższa uzyskana dokładność ogólna wyniosła 87,9% i została osiągnięta z wykorzystaniem klasyfikacji metodą Random Forest dla danych zintegrowanych przy użyciu techniki Ehlers. (abstrakt oryginalny)

EN

Fusion of satellite data from different sources is a technique commonly used in studies focused on land cover and land use. Combining images of various spectral bands allows to increase objects differentiation and thereby improve overall classification accuracy. In this study, I focused on crops maps creation using integrated optical and radar data. Landsat 8 multispectral data from OLI sensor and Sentinel-1A SAR (Synthetic Aperture Radar) data were applied here. The study was performed for a test area of the Żywiec Basin, which is a part of the Polish Carpathians. The advantage of this small, agricultural region was that it is covered by a mosaic of different-size cultivated fields. I tested six methods of satellite data integration (IHS, HPF, PCA, Brovey, Ehlers and wavelet transforms) and two classification algorithms (Support Vector Machines and Random Forest). The results demonstrated that the use of integrated optical and radar data is effective for crops classification - the highest overall accuracy achieved in this study was equal to 87.9% and was obtained for Random Forest classification and Ehlers fusion. (original abstract)

Słowa kluczowe

PL

Użytki rolne; Klasyfikacja; Systemy satelitarne

EN

Agricultural land; Classification; Satellite systems

• Czasopismo: Prace Geograficzne / Instytut Geografii i Gospodarki Przestrzennej Uniwersytetu Jagiellońskiego
• Rocznik: 2017
• Numer: z. 148
• Strony: 135--155

Twórcy

autor

Ewa Grabska

• Uniwersytet Jagielloński w Krakowie

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Identyfikatory

DOI

10.4467/20833113PG.17.006.6274