Editorial for Special Issue: “Remote Sensing of Hydrological Processes: Modelling and Applications”-Reference-Cited by-同舟云学术

Editorial for Special Issue: “Remote Sensing of Hydrological Processes: Modelling and Applications”

Published:2023-03-06 Issue:5 Volume:15 Page:1466
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

García-Galiano Sandra G.¹^ORCID,Cánovas-García Fulgencio²^ORCID,Giraldo-Osorio Juan Diego³^ORCID

Affiliation:

1. Department of Mining and Civil Engineering, Universidad Politécnica de Cartagena, 30203 Cartagena, Spain

2. Department of Geography, History and Humanities, Universidad de Almería, Ctra. Sacramento s/n, La Cañada de San Urbano, 04120 Almería, Spain

3. Civil Engineering Department, Pontificia Universidad Javeriana, Carrera 7a No. 40-62, Bogotá 110231, Colombia

Abstract

Improvements in satellite remote sensing techniques have allowed the development of several platforms that are able to capture multitemporal data with a wide range of spatial and temporal resolutions [...]

Funder

Seneca Foundation—Science and Technology Agency in the Region of Murcia

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/15/5/1466/pdf

Reference8 articles.

1. Ming, W., Ji, X., Zhang, M., Li, Y., Liu, C., Wang, Y., and Li, J. (2022). A Hybrid Triple Collocation-Deep Learning Approach for Improving Soil Moisture Estimation from Satellite and Model-Based Data. Remote Sens., 14.

2. Shi, Y., Qiao, Z., Wang, G., and Wei, J. (2023). In Situ Experimental Study of Cloud-Precipitation Interference by Low-Frequency Acoustic Waves. Remote Sens., 15.

3. Álvarez, D.M., and Poveda, G. (2022). Spatiotemporal Dynamics of NDVI, Soil Moisture and ENSO in Tropical South America. Remote Sens., 14.

4. Bennour, A., Jia, L., Menenti, M., Zheng, C., Zeng, Y., Asenso Barnieh, B., and Jiang, M. (2022). Calibration and Validation of SWATModel by Using Hydrological Remote Sensing Observables in the Lake Chad Basin. Remote Sens., 14.

5. Senent-Aparicio, J., Blanco-Gómez, P., López-Ballesteros, A., Jimeno-Sáez, P., and Pérez-Sánchez, J. (2021). Evaluating the Potential of GloFAS-ERA5 River Discharge Reanalysis Data for Calibrating the SWAT Model in the Grande San Miguel River Basin (El Salvador). Remote Sens., 13.

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