Zobrazeno 1 - 10
of 196
pro vyhledávání: '"David D. Bosch"'
Autor:
Pang-Wei Liu, Rajat Bindlish, Peggy O'Neill, Bin Fang, Venkat Lakshmi, Zhengwei Yang, Michael H. Cosh, Tara Bongiovanni, Chandra Holifield Collins, Patrick J. Starks, John Prueger, David D. Bosch, Mark Seyfried, Mark R. Williams
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4072-4092 (2022)
A thermal hydraulic disaggregation of soil moisture (THySM) algorithm was implemented to downscale NASA's soil moisture active passive (SMAP) enhanced soil moisture (SM) product to 1 km over the continental United States (CONUS). This algorithm was d
Externí odkaz:
https://doaj.org/article/a48b9678c50e490697fe4900fc148ec7
Autor:
Julian Chaubell, Simon Yueh, R. Scott Dunbar, Andreas Colliander, Dara Entekhabi, Steven K. Chan, Fan Chen, Xiaolan Xu, Rajat Bindlish, Peggy O'Neill, Jun Asanuma, Aaron A. Berg, David D. Bosch, Todd Caldwell, Michael H. Cosh, Chandra Holifield Collins, Karsten H. Jensen, Jose Martinez-Fernandez, Mark Seyfried, Patrick J. Starks, Zhongbo Su, Marc Thibeault, Jeffrey P. Walker
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 102-114 (2022)
In August 2020, soil moisture active passive (SMAP) released a new version of its soil moisture and vegetation optical depth (VOD) retrieval products. In this article, we review the methodology followed by the SMAP regularized dual-channel retrieval
Externí odkaz:
https://doaj.org/article/5bd2c1ae9466438282067d08a025cb87
Autor:
Andreas Colliander, Rolf H. Reichle, Wade T. Crow, Michael H. Cosh, Fan Chen, Steven Chan, Narendra Narayan Das, Rajat Bindlish, Julian Chaubell, Seungbum Kim, Qing Liu, Peggy E. O'Neill, R. Scott Dunbar, Land B. Dang, John S. Kimball, Thomas J. Jackson, Hala Khalid Al-Jassar, Jun Asanuma, Bimal K. Bhattacharya, Aaron A. Berg, David D. Bosch, Laura Bourgeau-Chavez, Todd Caldwell, Jean-Christophe Calvet, Chandra Holifield Collins, Karsten H. Jensen, Stan Livingston, Ernesto Lopez-Baeza, Jose Martinez-Fernandez, Heather McNairn, Mahta Moghaddam, Carsten Montzka, Claudia Notarnicola, Thierry Pellarin, Isabella Greimeister-Pfeil, Jouni Pulliainen, Judith Gpe. Ramos, Mark Seyfried, Patrick J. Starks, Zhongbo Su, R. van der Velde, Yijian Zeng, Marc Thibeault, Mariette Vreugdenhil, Jeffrey P. Walker, Mehrez Zribi, Dara Entekhabi, Simon H. Yueh
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 364-392 (2022)
The National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission has been validating its soil moisture (SM) products since the start of data production on March 31, 2015. Prior to launch, the mission defined a set of crit
Externí odkaz:
https://doaj.org/article/d5030cc9a9a147d7ba2994436d585a1c
Autor:
Evan J. Coopersmith, Michael H. Cosh, Patrick J. Starks, David D. Bosch, Chandra Holifield Collins, Mark Seyfried, Stan Livingston, John Prueger
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 10, Pp 1243-1254 (2021)
The U.S. Department of Agriculture’s Agricultural Research Service (USDA-ARS) maintains seven in situ soil moisture networks throughout the continental United States, some since 2002. These networks are crucial for understanding the spatial and tem
Externí odkaz:
https://doaj.org/article/b5b7c0c29ac647918fbcad1f81a49cab
Publikováno v:
GCB Bioenergy, Vol 13, Iss 3, Pp 473-492 (2021)
Abstract Carinata (Brassica carinata) is an industrial oilseed feedstock for renewable fuels grown as a winter crop in the southeast US, which may provide a new rotation alternative and benefits for water quality. However, the effects of carinata on
Externí odkaz:
https://doaj.org/article/b7ee0465141743c58c8b397276d80e75
Autor:
Pang-Wei Liu, Rajat Bindlish, Bin Fang, Venkat Lakshmi, Peggy E. O'Neill, Zhengwei Yang, Michael H. Cosh, Tara Bongiovanni, David D. Bosch, Chandra Holifield Collins, Patrick J. Starks, John Prueger, Mark Seyfried, Stanley Livingston
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2577-2592 (2021)
A soil moisture (SM) disaggregation algorithm based on thermal inertia (TI) theory was implemented to downscale the soil moisture active passive (SMAP) enhanced product (SPL2SMP$\_$E) from 9 to 1 km over the continental United States. The algorithm a
Externí odkaz:
https://doaj.org/article/725ae7cbbe3e416686ff2f2d4ed33be9
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 10, Iss C, Pp 110-121 (2017)
Study region: The Little River Experimental Watershed (LREW) in the Southern Coastal Plain Major Land Resource Area of the U.S.A. (N31°28′54″, W83°35′03″). Study focus: Separation of streamflow hydrographs into rapid stormflow and baseflow
Externí odkaz:
https://doaj.org/article/dc70af91efc84c5a863728807fe1ea71
Publikováno v:
Hydrology, Vol 7, Iss 4, p 75 (2020)
Watershed models are used worldwide to assist with water and nutrient management under conditions of changing climate, land use, and population. Of these models, the Soil and Water Assessment Tool (SWAT) and SWAT+ are the most widely used, although t
Externí odkaz:
https://doaj.org/article/cc254d8bc5b042699996ab1d234fc6b3
Autor:
Jana Kolassa, Rolf H. Reichle, Qing Liu, Michael Cosh, David D. Bosch, Todd G. Caldwell, Andreas Colliander, Chandra Holifield Collins, Thomas J. Jackson, Stan J. Livingston, Mahta Moghaddam, Patrick J. Starks
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1179 (2017)
This study compares different methods to extract soil moisture information through the assimilation of Soil Moisture Active Passive (SMAP) observations. Neural network (NN) and physically-based SMAP soil moisture retrievals were assimilated into the
Externí odkaz:
https://doaj.org/article/427cfa35035b41f8bfe9bcc4eb854967
Autor:
Michael J. White, Jeffrey G. Arnold, Katrin Bieger, Peter M. Allen, Jungang Gao, Natalja Čerkasova, Marilyn Gambone, Seonggyu Park, David D. Bosch, Haw Yen, Javier M. Osorio
Publikováno v:
White, M J, Arnold, J G, Bieger, K, Allen, P M, Gao, J, Čerkasova, N, Gambone, M, Park, S, Bosch, D D, Yen, H & Osorio, J M 2022, ' Development of a Field Scale SWAT+ Modeling Framework for the Contiguous U.S. ', Journal of the American Water Resources Association, vol. 58, no. 6, pp. 1545-1560 . https://doi.org/10.1111/1752-1688.13056
The Soil and Water Assessment Tool (SWAT) model is commonly used to predict the impacts of agricultural practices on water quality and quantity. Although widely applied, the data framework used to drive SWAT in the United States (U.S.) is fragmented