The influence of surface canopy water on L-band backscatter from corn: A study combining detailed In situ data and the Tor Vergata radiative transfer model

Autor: Khabbazan, S., Steele-Dunne, S.C., Vermunt, P.C., Guerriero, L., Judge, J.

Publikováno v: In Science of Remote Sensing June 2024 9

Assessing total water storage and identifying flood events over Tonlé Sap basin in Cambodia using GRACE and MODIS satellite observations combined with hydrological models

Autor: Tangdamrongsub, N., Ditmar, P.G., Steele-Dunne, S.C., Gunter, B.C., Sutanudjaja, E.H.

Publikováno v: In Remote Sensing of Environment August 2016 181:162-173

An Agenda for Land Data Assimilation Priorities: Realizing the Promise of Terrestrial Water, Energy, and Vegetation Observations From Space

Autor: Kumar, Sujay, Kolassa, Jana, Reichle, Rolf, Crow, Wade, de Lannoy, Gabrielle, de Rosnay, Patricia, MacBean, Natasha, Quaife, Tristan, Steele-Dunne, S.C.

Publikováno v: Journal of Advances in Modeling Earth Systems, 14(11)

The task of quantifying spatial and temporal variations in terrestrial water, energy, and vegetation conditions is challenging due to the significant complexity and heterogeneity of these conditions, all of which are impacted by climate change and an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::a213f4293f8f44b4af667ebc685ae2ca
http://resolver.tudelft.nl/uuid:88b24395-46f9-49e0-9152-cc178a32a30f

Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication

Autor: De Lannoy, Gabriëlle J.M., Bechtold, Michel, Albergel, Clément, Brocca, Luca, Calvet, Jean Christophe, Carrassi, Alberto, Crow, Wade T., de Rosnay, Patricia, Steele-Dunne, S.C.

Publikováno v: Frontiers in Water, 4

The beginning of the 21st century is marked by a rapid growth of land surface satellite data and model sophistication. This offers new opportunities to estimate multiple components of the water cycle via satellite-based land data assimilation (DA) ac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::21db7b7abe9f0c74b438fa711de22b28
http://resolver.tudelft.nl/uuid:2ca42400-ed09-4010-8f3c-3050d6e4c45d

Predicting rainfall induced slope stability using Random Forest regression and synthetic data

Autor: Jamalinia, E., Sadeghi Tehrani, F., Steele-Dunne, S.C., Vardon, P.J., Arbanas, Ž., Bobrowsky, P.T., Konagai, K., Sassa, K., Takara, K.

Publikováno v: Understanding and Reducing Landslide Disaster Risk.: Volume 6. Specific Topics in Landslide Science and Applications, 6
Understanding and Reducing Landslide Disaster Risk ISBN: 9783030607128

Water fluxes in slopes are affected by climatic conditions and vegetation cover, which influence the effective stress and stability. The vegetation cover is the intermediate layer between the atmosphere and the slope surface that alter water balance

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::687adf84da799c04ecea8da04c5c2023
http://resolver.tudelft.nl/uuid:e9842a9c-c9c1-46a6-975b-49699809124a