Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alfred Kalyanapu"'
Publikováno v:
GeoHazards, Vol 5, Iss 1, Pp 64-90 (2024)
The prevalence of unforeseen floods has heightened the need for more accurate flood simulation and forecasting models. Even though forecast stations are expanding across the United States, the coverage is usually limited to major rivers and urban are
Externí odkaz:
https://doaj.org/article/d90f9988e48d4ee38856af10fb2afebf
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1615 (2023)
This paper presents a new data fusion multiscale observation product (MOP) for flood emergencies. The MOP was created by integrating multiple sources of contributed open-source data with traditional spaceborne remote sensing imagery in order to provi
Externí odkaz:
https://doaj.org/article/8abab0bb5fef4235b056c863da1fc9c6
Publikováno v:
Geosciences, Vol 13, Iss 3, p 65 (2023)
Streamflow monitoring for flood warning and watershed management applications in the United States is a cost-intensive venture, and usually performed by government agencies such as the US Geological Survey (USGS). With reduced resources across the fe
Externí odkaz:
https://doaj.org/article/603de710e4eb495e9abad8ed5d9079dc
Autor:
Md N M Bhuyian, Alfred Kalyanapu
Publikováno v:
Remote Sensing, Vol 12, Iss 17, p 2799 (2020)
Digital Elevation Models (DEMs) are widely used as a proxy for bathymetric data and several studies have attempted to improve DEM accuracy for hydrodynamic (HD) modeling. Most of these studies attempted to quantitatively improve estimates of channel
Externí odkaz:
https://doaj.org/article/fcdd761cda2f4f36afe8b485d44bbaab
Publikováno v:
Geosciences, Vol 7, Iss 4, p 132 (2017)
This study assessed the uncertainty in flood impact assessment (FIA) that may be introduced by errors in moderate resolution regional and moderate resolution global Digital Elevation Models (DEM). One arc-second National Elevation Dataset (NED) and o
Externí odkaz:
https://doaj.org/article/3b91152003d44aa99024b821e46f8b96
Publikováno v:
2009 Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d67396230c1e6a8719f7fb4c92f0c973
https://doi.org/10.18260/1-2--5359
https://doi.org/10.18260/1-2--5359
Publikováno v:
Sustainability; Volume 9; Issue 10; Pages: 1735
An integrated framework is presented for sustainability-based flood hazard mapping of the Swannanoa River watershed in the state of North Carolina, U.S. The framework uses a hydrologic model for rainfall–runoff transformation, a two-dimensional uns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::f9e019b21571e2fdfa234ffcfab5d1d8