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Journals / Harita Dergisi / 2006 / Cilt: 73 - Sayı: 135

Modelling the earth's gravity field from GRACE satellite data using fuzzy inference systems

Yeryuvarı gravite alanının GRACE uydu verilerinden bulanık çıkarım sistemleri ile modellenmesi

Tevfik AYAN
Orhan AKYILMAZ
Pages
10–25
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results have shown that the predefined accuracy for GRACE has been reached, and has approved that the fuzzy inference systems are convenient tools especially for geodetic problems which can be defined as input-output systems.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, fuzzy inference systems have been applied to the modeling of the Earth's gravity field, which is one of the most important tasks of geodetic science.
📊
Key Findings & Data:The classical way for modeling the Earth's gravity field is based on the least squares (LS) estimation of the-coefficients of the spherical harmonic function up to a certain degree and order.
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Conclusion & Impact:The results have shown that the predefined accuracy for GRACE has been reached, and has approved that the fuzzy inference systems are convenient tools especially for geodetic problems which can be defined as input-output systems.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, fuzzy inference systems have been applied to the modeling of the Earth's gravity field, which is one of the most important tasks of geodetic science. The classical way for modeling the Earth's gravity field is based on the least squares (LS) estimation of the-coefficients of the spherical harmonic function up to a certain degree and order. To this end, terrestrial, marine and space based gravity anomalies has been employed as observations of the linearised system of equation. In this study, GRACE (Gravity Recovery And Climate Experiment) satellite gravimetry data has been used for gravity field modeling. The gravity anomalies derived from the spherical harmonic coefficients of the first GRACE based gravity field model GGMOIS have formed the data set of the fuzzy system. The results have shown that the predefined accuracy for GRACE has been reached, and has approved that the fuzzy inference systems are convenient tools especially for geodetic problems which can be defined as input-output systems.

Özet

Bu çalışmada Bulanık Çıkarım Sistemleri jeodezinin en önemli problemlerinden olan yeryuvarı gravite alanı modeli belirlemede kullanılmıştır. Gravite alanı belirlemenin klasik yolu yeryuvarı için belirli bir derece ve mertebeye kadar küresel harmonik fonksiyon katsayılarının en küçük kareler (EKK) kestirimi ile belirlenmesine dayanır. Bu nedenle yersel, deniz ve uzay bazlı gravite anomali değerleri, lineerleştirilmiş denklem sisteminin gözlem büyüklükleri olarak alınır. Bu çalışmada gravite alanı modellemesi için sadece GRACE (Gravity Recovery And Climate Experiment) uydu gravimetre verileri kullanılmıştır. GRACE bazlı ilk gravite alam modeli olan GGMOIS küresel harmonik katsayılarından türetilmiş gravite anomali değerleri bulanık sistemin veri kümesini oluşturmuştur. Uygulama sonucunda GRACE için öngörülen doğruluğa erişildiği görülmüş ve bulanık çıkarım sistemlerinin, özellikle girdi-çıktı sistemleri şeklinde tanımlanan jeodezik problemlerin çözümü için uygun yöntemler olduğu sonucuna varılmıştır.

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Cite This Article

AYAN, T., AKYILMAZ, O. (2006). Modelling the earth's gravity field from GRACE satellite data using fuzzy inference systems. Harita Dergisi, Cilt: 73 - Sayı: 135, 10–25. https://ajindex.com/articles/200243

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