1 - 10 out of 13Page size: 10
  1. 2022

  2. Soil Moisture Estimation Using Atmospherically Corrected C-Band InSAR Data

    Mira, N. C., Catalao, J., Nico, G. & Mateus, P., 1 Jan 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60

    Research output: Contribution to journal › Article › peer-review

  3. Time-Series Clustering Methodology for Estimating Atmospheric Phase Screen in Ground-Based InSAR Data

    Izumi, Y., Nico, G. & Sato, M., 1 Jan 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60

    Research output: Contribution to journal › Article › peer-review

  4. 2021

  5. The influence of solar x-ray flares on sar meteorology: The determination of the wet component of the tropospheric phase delay and precipitable water vapor

    Nina, A., Radović, J., Nico, G., Popović, L., Radovanović, M., Biagi, P. F. & Vinković, D., 1 Jul 2021, In: Remote Sensing. 13, 13, 2609.

    Research output: Contribution to journal › Article › peer-review

  6. Reduction of the vlf signal phase noise before earthquakes

    Nina, A., Biagi, P. F., Mitrović, S. T., Pulinets, S., Nico, G., Radovanović, M. & Popović, L., 1 Apr 2021, In: ATMOSPHERE. 12, 4, 444.

    Research output: Contribution to journal › Article › peer-review

  7. Continuous Multitrack Assimilation of Sentinel-1 Precipitable Water Vapor Maps for Numerical Weather Prediction: How Far Can We Go With Current InSAR Data?

    Mateus, P., Miranda, P. M. A., Nico, G. & Catalao, J., 16 Feb 2021, In: Journal of Geophysical Research: Atmospheres. 126, 3

    Research output: Contribution to journal › Article › peer-review

  8. MANAGING THE OCEANS CLEANUP VIA SEA CURRENT ANALYSIS AND BIO-INSPIRED COORDINATION OF USV SWARMS

    Monaco, M., Cimino, M. G. C. A., Vaglini, G., Fusai, F. & Nico, G., 1 Jan 2021, International Geoscience and Remote Sensing Symposium (IGARSS). p. 8344-8347 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. OBSERVING SOIL MOISTURE CHANGE USING C-BAND INTERFEROMETRY USING MACHINE LEARNING REGRESSION

    Mira, N. C., Catalão, J. & Nico, G., 1 Jan 2021, International Geoscience and Remote Sensing Symposium (IGARSS). p. 6343-6346 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Quiet ionospheric d-region (Qiondr) model based on vlf/lf observations

    Nina, A., Nico, G., Mitrović, S. T., Čadež, V. M., Milošević, I. R., Radovanović, M. & Popović, L., 1 Jan 2021, In: Remote Sensing. 13, 3, p. 1-24 24 p.

    Research output: Contribution to journal › Article › peer-review

  11. USING THE ROTATIONALLY INVARIANT SPECTRUM TO STUDY THE IMPACT OF ASSIMILATING INSAR PRODUCTS IN AN NWP MODEL

    Nico, G., Mateus, P. & Catalão, J., 1 Jan 2021, International Geoscience and Remote Sensing Symposium (IGARSS). p. 7188-7191 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  12. USING VLF TIME SERIES FROM THE INFREP NETWORK FOR THE STUDY OF PRE-SEISMIC RADIO ANOMALIES

    Monaco, M., Nico, G., Biagi, P. F., Ermini, A., Nina, A., Cimino, M. G. C. A. & Vaglini, G., 1 Jan 2021, International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2021-July. p. 8624-8627 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Previous 1 2 Next

ID: 10072349