Stochastic modeling, variance propagation, and total least squares co-estimation of satellite orientation in GRACE processing.

Matthias Ellmer, Torsten Mayer-Gürr

Research output: Contribution to conferenceAbstractResearch

Original languageEnglish
Publication statusPublished - 9 Apr 2018
EventEGU General Assembly 2018 - Wien, Austria
Duration: 9 Apr 201813 Apr 2018

Conference

ConferenceEGU General Assembly 2018
CountryAustria
CityWien
Period9/04/1813/04/18

Keywords

  • GRACE
  • GRACE-FO
  • Star Camera
  • Covariance modeling

Fields of Expertise

  • Sustainable Systems

Cite this

Stochastic modeling, variance propagation, and total least squares co-estimation of satellite orientation in GRACE processing. / Ellmer, Matthias; Mayer-Gürr, Torsten.

2018. Abstract from EGU General Assembly 2018, Wien, Austria.

Research output: Contribution to conferenceAbstractResearch

@conference{066d29437145465b964feffe5769b46e,
title = "Stochastic modeling, variance propagation, and total least squares co-estimation of satellite orientation in GRACE processing.",
keywords = "GRACE, GRACE-FO, Star Camera, Covariance modeling",
author = "Matthias Ellmer and Torsten Mayer-G{\"u}rr",
year = "2018",
month = "4",
day = "9",
language = "English",
note = "EGU General Assembly 2018 ; Conference date: 09-04-2018 Through 13-04-2018",

}

TY - CONF

T1 - Stochastic modeling, variance propagation, and total least squares co-estimation of satellite orientation in GRACE processing.

AU - Ellmer, Matthias

AU - Mayer-Gürr, Torsten

PY - 2018/4/9

Y1 - 2018/4/9

KW - GRACE

KW - GRACE-FO

KW - Star Camera

KW - Covariance modeling

UR - https://meetingorganizer.copernicus.org/EGU2018/EGU2018-11808.pdf

M3 - Abstract

ER -