000006442 001__ 6442
000006442 005__ 20230420091040.0
000006442 037__ $$aPOSTER-2023-0036
000006442 100__ $$aMoeller, G.
000006442 245__ $$aTomographic fusion strategies for the reconstruction of small-scale structures in the lower atmosphere
000006442 260__ $$c2022
000006442 269__ $$c2022-06-13
000006442 520__ $$aWhile geodetic GNSS networks are nowadays the backbone for troposphere tomography studies, further local densifications are necessary to achieve very fine spatial and temporal resolution. InSAR interferograms, GNSS radio occultation, or microwave radiometer profiles can provide the required complementary information for stabilizing the tomography system. However, the combination of sensing techniques is a challenging task and requires a profound understanding of the underlying observation principles. Furthermore, tomographic fusion requires a strategy for observation selection and a weighting scheme for the reliable handling of redundant information. Thus, over the last two decades of tomographic research, a series of methods have been established for the optimal combination of space geodetic and related sensing techniques – sensitive to the water vapor distribution in the lower atmosphere. Within the IAG working group 4.3.6, a review of integrated fusion strategies has been carried out. In this presentation, we will provide an overview of the significant findings – categorized according to the type of sensor combination and integration level.
000006442 594__ $$aSTCE
000006442 6531_ $$aGNSS
000006442 6531_ $$aIAG
000006442 6531_ $$aTroposphere
000006442 6531_ $$aTomography
000006442 6531_ $$aWater Vapour
000006442 6531_ $$asensor fusion
000006442 700__ $$aAdavi, Z.
000006442 700__ $$aWilgan, K.
000006442 700__ $$aBrenot, H.
000006442 700__ $$aHanna, N.
000006442 700__ $$aKamm, B.
000006442 700__ $$aSchenk, A.
000006442 700__ $$aPottiaux, E.
000006442 700__ $$aShehaj, E.
000006442 700__ $$aZhang, W.
000006442 700__ $$aTrzcina, E.
000006442 700__ $$aRohm, W.
000006442 773__ $$t1st Workshop on Data Science for GNSS Remote Sensing, Potsdam, Germany
000006442 8560_ $$feric.pottiaux@observatoire.be
000006442 980__ $$aCPOSTER