Qi Gao

Orcid: 0000-0001-9291-6240

Affiliations:
  • Centre Tecnològic de Telecomunicacions de Catalunya, CTTC, Division of Geomatics, Castelldefels, Spain
  • isardSAT, Parc Tecnològic Barcelona Activa, Barcelona, Catalonia, Spain (2015-2020)
  • Ramon Llull University, Observatori de l'Ebre, OE, Spain (PhD 2019)


According to our database1, Qi Gao authored at least 14 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Automatic Ground Deformation Detection from European Ground Motion Service Products.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
Multi-Source Hydrological Data Products to Monitor High Asian River Basins and Regional Water Security.
Remote. Sens., 2021

Sentinel-1 A-DInSAR Approaches to Map and Monitor Ground Displacements.
Remote. Sens., 2021

2020
The Roles of the S3MPC: Monitoring, Validation and Evolution of Sentinel-3 Altimetry Observations.
Remote. Sens., 2020

2019
Analysis of Retrackers' Performances and Water Level Retrieval over the Ebro River Basin Using Sentinel-3.
Remote. Sens., 2019

2018
Irrigation Mapping Using Sentinel-1 Time Series at Field Scale.
Remote. Sens., 2018

Soil Moisture and Irrigation Mapping in A Semi-Arid Region, Based on the Synergetic Use of Sentinel-1 and Sentinel-2 Data.
Remote. Sens., 2018

Soil Surface Moisture Estimation Using the Synergy S1/S2 Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Irrigation Mapping Using Statistics of Sentinel-1 Time Series.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Comparision of Retrackers' Performances Over Inland Water Bodies.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at 100 m Resolution.
Sensors, 2017

Potential of Sentinel-1 Radar Data for the Assessment of Soil and Cereal Cover Parameters.
Sensors, 2017

Comparison of two methods for soil moisture mapping at 1KM resolution from Sentinel-1 and MODIS synergy.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Inland water level retrieval over western africa with radar altimeters.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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