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1. The USDA‐ARS Experimental Watershed Network: Evolution, Lessons Learned, Societal Benefits, and Moving Forward

Author:
P. Starks,   et al.   ; D. C. Goodrich; P. Heilman; M. Anderson; C. Baffaut; J. Bonta; D. Bosch; R. Bryant; M. Cosh; D. Endale; T. L. Veith; S. C. Havens; A. Hedrick; P. J. Kleinman; E. J. Langendoen; G. McCarty; T. Moorman; D. Marks; F. Pierson; J. R. Rigby; H. Schomberg; J. Steiner; T. Strickland; T. Tsegaye;     Show all 24 Authors
Source:
Water resources research 2021 v.57 no.2 pp. e2019WR026473
ISSN:
0043-1397
Subject:
Clean Water Act; Long-Term Agroecosystem Research Network; dust; ecosystems; evolution; intensive farming; research; runoff; satellites; society; soil conservation; water conservation; water quality; watersheds
Abstract:
... The U.S. Department of Agriculture‐Agricultural Research Service's (ARS) Experimental Watershed Network grew from Dust Bowl era efforts of the Soil Conservation Service in the mid‐1930s with the establishment of small experimental watersheds. In the 1950s, five watershed research centers with intensively instrumented watersheds at the scale of 100 to 700 km² were established. Primary network resea ...
DOI:
10.1029/2019WR026473

2. Development and assessment of the SMAP enhanced passive soil moisture product

Author:
P. Starks,   et al.   ; S.K. Chan; R. Bindlish; P. O'Neill; T. Jackson; E. Njoku; S. Dunbar; J. Chaubell; J. Piepmeier; S. Yueh; D. Entekhabi; A. Colliander; F. Chen; M.H. Cosh; T. Caldwell; J. Walker; A. Berg; H. McNairn; M. Thibeault; J. Martínez-Fernández; F. Uldall; M. Seyfried; D. Bosch; C. Holifield Collins; J. Prueger; R. van der Velde; J. Asanuma; M. Palecki; E.E. Small; M. Zreda; J. Calvet; W.T. Crow; Y. Kerr;     Show all 33 Authors
Source:
Remote sensing of environment 2018 v.204 pp. 931-941
ISSN:
0034-4257
Subject:
National Aeronautics and Space Administration; algorithms; correlation; ecosystems; freeze-thaw cycles; radar; remote sensing; satellites; soil water; temperature; uncertainty
Abstract:
... Launched in January 2015, the National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) observatory was designed to provide frequent global mapping of high-resolution soil moisture and freeze-thaw state every two to three days using a radar and a radiometer operating at L-band frequencies. Despite a hardware mishap that rendered the radar inoperable shortly after lau ...
Handle:
10113/5819699
DOI:
10.1016/j.rse.2017.08.025

3. Mapping near-surface soil moisture on regional scale using ERS-2 SAR data

Author:
P. Starks,   et al.   ; A. Oldak; T. J. Jackson; R. Elliott;     Show all 4 Authors
Source:
International journal of remote sensing 2003 v.24 no.22 pp. 4579-4598
ISSN:
1366-5901
Subject:
Landsat; agroecosystems; equations; ground vegetation; hydrologic factors; land cover; linear models; remote sensing; soil surveys; soil water; synthetic aperture radar; temporal variation; vegetation; Great Plains region; Oklahoma
Abstract:
... Soil moisture is an important hydrologic variable of great consequence in both natural and agricultural ecosystems. Unfortunately, it is virtually impossible to accurately assess the spatial and temporal variability of surface soil moisture using conventional, point measurement techniques. Remote sensing has the potential to provide areal estimates of soil moisture at a variety of spatial scales. ...
Handle:
10113/56386
DOI:
10.1080/0143116031000070463

4. Validation of SMAP surface soil moisture products with core validation sites

Author:
P. Starks,   et al.   ; A. Colliander; T.J. Jackson; R. Bindlish; S. Chan; N. Das; S.B. Kim; M.H. Cosh; R.S. Dunbar; L. Dang; L. Pashaian; J. Asanuma; K. Aida; A. Berg; T. Rowlandson; D. Bosch; T. Caldwell; K. Caylor; D. Goodrich; H. al Jassar; E. Lopez-Baeza; J. Martínez-Fernández; A. González-Zamora; S. Livingston; H. McNairn; A. Pacheco; M. Moghaddam; C. Montzka; C. Notarnicola; G. Niedrist; T. Pellarin; J. Prueger; J. Pulliainen; K. Rautiainen; J. Ramos; M. Seyfried; Z. Su; Y. Zeng; R. van der Velde; M. Thibeault; W. Dorigo; M. Vreugdenhil; J.P. Walker; X. Wu; A. Monerris; P.E. O'Neill; D. Entekhabi; E.G. Njoku; S. Yueh;     Show all 49 Authors
Source:
Remote sensing of environment 2017 v.191 pp. 215-231
ISSN:
0034-4257
Subject:
algorithms; radar; remote sensing; satellites; screening; soil water
Abstract:
... The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance. Those sites provide well-calibrated in situ soil moisture measurements within SMAP product grid pixels for diverse conditions and locations. The estimation of the average soil moisture within the SMAP product gri ...
Handle:
10113/5617486
DOI:
10.1016/j.rse.2017.01.021

5. Sensor Development and Radiometric Correction for Agricultural Applications

Author:
P. Starks,   et al.   ; S. Moran; G. Fitzgerald; A. Rango; C. Walthall; E. Barnes; W. Bausch; T. Clarke; C. Daughtry; J. Everitt; D. Escobar; J. Hatfield; K. Havstad; T. Jackson; N. Kitchen; W. Kustas; M. McGuire; P. Pinter, Jr.; K. Sudduth; J. Schepers; T. Schmugge; D. Upchurch;     Show all 22 Authors
Source:
Photogrammetric engineering and remote sensing 2003 v.69 no.6 pp. 705-718
ISSN:
0099-1112
Subject:
agricultural research; Agricultural Research Service; radiometry; equipment performance; radiometers; remote sensing; United States
Abstract:
...

This review addresses the challenges and progress in sensor development and radiometric correction for agricultural applications with particular emphasis on activities within the U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS). Examples of sensor development include on-site development of sensors and platforms, participation in cooperative research and development a ...

Handle:
10113/17069
DOI:
10.14358/PERS.69.6.705