Cargando…
Evaluation of Bias Correction Method for Satellite-Based Rainfall Data
With the advances in remote sensing technology, satellite-based rainfall estimates are gaining attraction in the field of hydrology, particularly in rainfall-runoff modeling. Since estimates are affected by errors correction is required. In this study, we tested the high resolution National Oceanic...
Autores principales: | Bhatti, Haris Akram, Rientjes, Tom, Haile, Alemseged Tamiru, Habib, Emad, Verhoef, Wouter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934310/ https://www.ncbi.nlm.nih.gov/pubmed/27314363 http://dx.doi.org/10.3390/s16060884 |
Ejemplares similares
-
Assessing Temporal Stability for Coarse Scale Satellite Moisture Validation in the Maqu Area, Tibet
por: Bhatti, Haris Akram, et al.
Publicado: (2013) -
Bias correction and spatial disaggregation of satellite-based data for the detection of rainfall seasonality indices()()
por: Atiah, Winifred Ayinpogbilla, et al.
Publicado: (2023) -
Author Correction: Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data
por: Chua, Zhi‑Weng, et al.
Publicado: (2023) -
Enhancing the Australian Gridded Climate Dataset rainfall analysis using satellite data
por: Chua, Zhi-Weng, et al.
Publicado: (2022) -
Rainfall Map from Attenuation Data Fusion of Satellite Broadcast and Commercial Microwave Links
por: Saggese, Fabio, et al.
Publicado: (2022)