Nome |
# |
GEMMA: An Earth crustal model based on GOCE satellite data, file e0c31c0e-b6ec-4599-e053-1705fe0aef77
|
265
|
GECO: a global gravity model by locally combining GOCE data and EGM2008, file e0c31c11-3fd6-4599-e053-1705fe0aef77
|
218
|
Integration of Kinect and low-cost GNSS for outdoor navigation, file e0c31c09-d053-4599-e053-1705fe0aef77
|
183
|
Experimental study on low-cost satellite-based geodetic monitoring over short baselines, file e0c31c11-129d-4599-e053-1705fe0aef77
|
173
|
Covariance function modelling in local geodetic applications using the simplex method, file e0c31c09-cb8a-4599-e053-1705fe0aef77
|
168
|
Accuracy of flight altitude measured with low-cost GNSS, radar and barometer sensors: Implications for airborne radiometric surveys, file e0c31c0b-2bf8-4599-e053-1705fe0aef77
|
163
|
MOCASS: A satellite mission concept using cold atom interferometry for measuring the Earth gravity field, file e0c31c11-b387-4599-e053-1705fe0aef77
|
158
|
Il filtro di Wiener per la determinazione della superficie dinamica media degli oceani, file e0c31c09-4064-4599-e053-1705fe0aef77
|
147
|
Cultural heritage monitoring by low-cost GNSS receivers: a feasibility study for San Gaudenzio's cupola, Novara, file e0c31c0d-8324-4599-e053-1705fe0aef77
|
139
|
Uncovering a masterpiece of Roman engineering: The project of Via Appia between Colle Pardo and Terracina, file e0c31c0d-c7c0-4599-e053-1705fe0aef77
|
108
|
Assessment of local covariance estimation through Least Squares Collocation over Iran, file e0c31c0f-8366-4599-e053-1705fe0aef77
|
92
|
Comparison between RGB and RGB-D cameras for supporting low-cost GNSS urban navigation, file e0c31c0b-e16d-4599-e053-1705fe0aef77
|
89
|
The gravimetric contribution to the Moho estimation in the presence of vertical density variations, file e0c31c10-5e0f-4599-e053-1705fe0aef77
|
82
|
Open access to regional geoid models: the International Service for the Geoid, file e0c31c11-3975-4599-e053-1705fe0aef77
|
81
|
Dipping prism modelling of subduction plates in view of an improved GOCE global Moho: the Tonga example, file e0c31c0f-8373-4599-e053-1705fe0aef77
|
80
|
The Gravity Effect of Topography: A Comparison among Three Different Methods, file e0c31c11-8bdf-4599-e053-1705fe0aef77
|
78
|
The Earth gravity field in the time of satellites, file e0c31c0e-b6f3-4599-e053-1705fe0aef77
|
69
|
Studio della quota di volo mediante GNSS, altimetro radar e barometro per rilievi di spettroscopia gamma da velivolo, file e0c31c0a-455c-4599-e053-1705fe0aef77
|
64
|
Gravity field recovery and error analysis for the MOCASS mission proposal based on cold atom interferometry, file e0c31c11-a859-4599-e053-1705fe0aef77
|
60
|
Analysis of Mosha fault by using earthquake focal mechanism, file e64f6614-fadd-4c22-94b2-ac4e90ad6952
|
54
|
High-precision GPS survey of Via Appia: Archaeoastronomy-related aspects, file e0c31c08-25d3-4599-e053-1705fe0aef77
|
48
|
Testing goGPS low-cost RTK positioning with a web-based track log management system, file e0c31c08-fbf6-4599-e053-1705fe0aef77
|
37
|
The open database of regional models of the International Service for the Geoid, file 764cf6f9-2dbb-4991-922d-8a58f003bdab
|
31
|
Comparison of the performance of medium and low level GNSS apparatus, with and without reference networks, file e0c31c0c-34ff-4599-e053-1705fe0aef77
|
30
|
La stima del campo di gravità da dati GOCE: i risultati finali dell’approccio space-wise, file e0c31c0a-4a12-4599-e053-1705fe0aef77
|
28
|
Cold atoms in space: community workshop summary and proposed road-map, file 238f334d-6f81-4d27-9ec6-4729376d4e77
|
21
|
GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment, file e0c31c10-0cb9-4599-e053-1705fe0aef77
|
16
|
Improving UAV telemetry positioning for direct photogrammetry, file e84fc9f5-fd73-43d9-ba99-2d9fcab8e841
|
14
|
The MOCAST+ study on a quantum gradiometry satellite mission with atomic clocks, file 9e5ff4ea-382e-4137-b05a-0ce67edd60e5
|
13
|
GNSS-based dam monitoring: The application of a statistical approach for time series analysis to a case study, file 9ba3ce40-c768-4ef6-bc29-2e03c7418fb8
|
12
|
Comparative analysis among Asia-Pacific geoid models stored at the ISG repository, file 9773fa88-43c7-4f07-8f5e-53cd22672991
|
9
|
MOCASS: A satellite mission concept using cold atom interferometry for measuring the Earth gravity field, file e0c31c0e-c1bc-4599-e053-1705fe0aef77
|
9
|
Global Moho gravity inversion from GOCE data: updates and convergence assessment of the GEMMA model algorithm, file 2c654274-e3eb-41f8-b4d7-3706a8db932a
|
8
|
Experimental study on low-cost satellite-based geodetic monitoring over short baselines, file e0c31c08-fc98-4599-e053-1705fe0aef77
|
6
|
GEMMA: An Earth crustal model based on GOCE satellite data, file e0c31c09-0198-4599-e053-1705fe0aef77
|
6
|
Global to local Moho estimate based on GOCE geopotential models and local gravity data, file e0c31c09-3c1f-4599-e053-1705fe0aef77
|
6
|
The MOCAST+ study on a quantum gradiometry satellite mission with atomic clocks, file 0d2f50c6-8347-47bb-8350-a96fe9cc516b
|
5
|
A simulated space-wise solution using GOCE kinematic orbits, file e0c31c07-e4cf-4599-e053-1705fe0aef77
|
5
|
Uncovering a masterpiece of Roman engineering: The project of Via Appia between Colle Pardo and Terracina, file e0c31c08-13c0-4599-e053-1705fe0aef77
|
5
|
The height datum problem and the role of satellite gravity models, file e0c31c07-ffe8-4599-e053-1705fe0aef77
|
4
|
A feasibility study on the unification of the Italian height systems using GNSS-leveling data and global satellite gravity models, file e0c31c09-31bf-4599-e053-1705fe0aef77
|
4
|
GECO: a global gravity model by locally combining GOCE data and EGM2008, file e0c31c0a-a703-4599-e053-1705fe0aef77
|
4
|
GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment, file e0c31c0d-8cf5-4599-e053-1705fe0aef77
|
4
|
On the use of gridded data to estimate potential coefficients, file e0c31c07-cfa1-4599-e053-1705fe0aef77
|
3
|
Optimal multi-step collocation: application to the space-wise approach for GOCE data analysis, file e0c31c07-d3de-4599-e053-1705fe0aef77
|
3
|
First GOCE gravity field models derived by three different approaches, file e0c31c07-e4d6-4599-e053-1705fe0aef77
|
3
|
On the combination of high-resolution and satellite-only global gravity models, file e0c31c07-f526-4599-e053-1705fe0aef77
|
3
|
Global Moho from the combination of the CRUST2.0 model and GOCE data, file e0c31c08-1376-4599-e053-1705fe0aef77
|
3
|
Preliminary analysis on GOCE contribution to the Mediterranean Sea circulation, file e0c31c08-1483-4599-e053-1705fe0aef77
|
3
|
The Earth gravity field in the time of satellites, file e0c31c08-ffea-4599-e053-1705fe0aef77
|
3
|
The use of GNSS/levelling and gravity data for the Spanish height system unification, file e0c31c0c-e524-4599-e053-1705fe0aef77
|
3
|
GIGJ: a crustal gravity model of the Guangdong Province for predicting the geoneutrino signal at the JUNO experiment, file e0c31c0d-2887-4599-e053-1705fe0aef77
|
3
|
Assessment of gravity field recovery from a quantum satellite mission with atomic clocks and cold atom gradiometers, file 147d669c-4a0a-46dd-9a88-31dc1aeb501d
|
2
|
Molodensky’s and Helmert’s theories: Two equivalent geodetic approaches to the determination of the gravity potential and the Earth surface, file 3d3f52a5-8d82-4ab4-b230-7091a6953535
|
2
|
Wiener filters and collocation in satellite gradiometry, file e0c31c07-cc6a-4599-e053-1705fe0aef77
|
2
|
Step-wise solutions to random field prediction problems, file e0c31c07-cfb3-4599-e053-1705fe0aef77
|
2
|
Spline multirisoluzione e spline con regolarizzazione di Tychonov per la produzione di DTM, file e0c31c07-d3e9-4599-e053-1705fe0aef77
|
2
|
Bayesian classification by data augmentation, file e0c31c07-da8d-4599-e053-1705fe0aef77
|
2
|
Moho estimation using GOCE data: a numerical simulation, file e0c31c07-e845-4599-e053-1705fe0aef77
|
2
|
The GOCE estimated Moho beneath the Tibetan Plateau and Himalaya, file e0c31c08-025c-4599-e053-1705fe0aef77
|
2
|
Using GOCE to straighten and sew European local geoids: preliminary study and first results, file e0c31c08-10cc-4599-e053-1705fe0aef77
|
2
|
Combining EGM2008 with GOCE gravity models, file e0c31c08-1480-4599-e053-1705fe0aef77
|
2
|
Applications of the Bayesian statistics to geodetic problems, file e0c31c08-1b6d-4599-e053-1705fe0aef77
|
2
|
The combined inversion of seismological and GOCE gravity data: New insights into the current state of the Pacific lithosphere and upper mantle, file e0c31c0b-0aec-4599-e053-1705fe0aef77
|
2
|
Lithological constrained gravity inversion. A Bayesian approach, file e0c31c0d-2890-4599-e053-1705fe0aef77
|
2
|
Improving satellite-only mean dynamic topography along the Italian coasts using tide gauges, file e0c31c10-d9e3-4599-e053-1705fe0aef77
|
2
|
Space-wise approach to satellite gravity field determination in the presence of coloured noise, file e0c31c07-d7fa-4599-e053-1705fe0aef77
|
1
|
A GOCE-only global gravity field model by the space-wise approach, file e0c31c07-e560-4599-e053-1705fe0aef77
|
1
|
On the combination of global and local data in collocation theory, file e0c31c07-e847-4599-e053-1705fe0aef77
|
1
|
Enhanced satellite positioning as a web service with goGPS open source software, file e0c31c07-f289-4599-e053-1705fe0aef77
|
1
|
The height datum problem and the role of satellite gravity models, file e0c31c07-ffe7-4599-e053-1705fe0aef77
|
1
|
Integrating low-cost RTK positioning services with a web based track log management system, file e0c31c08-0d4e-4599-e053-1705fe0aef77
|
1
|
goGPS: open-source MATLAB software, file e0c31c09-0808-4599-e053-1705fe0aef77
|
1
|
Integrating geological prior information into the inverse gravimetric problem: the Bayesian approach, file e0c31c09-31ba-4599-e053-1705fe0aef77
|
1
|
Joint use of image-based and GNSS techniques for urban navigation, file e0c31c0b-6f09-4599-e053-1705fe0aef77
|
1
|
Improving low-cost GNSS navigation in urban areas by integrating a Kinect device, file e0c31c0c-1678-4599-e053-1705fe0aef77
|
1
|
Geodetic Heights, file e0c31c0d-8817-4599-e053-1705fe0aef77
|
1
|
Global Moho from the combination of the CRUST2.0 model and GOCE data, file e0c31c0f-fa97-4599-e053-1705fe0aef77
|
1
|
Totale |
2.863 |