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1. Quad and compact multitemporal C-band PolSAR observations for crop characterization and monitoring
- Author:
- H. McNairn, et al. ; S. Homayouni; M. Hosseini; X. Jiao; J. Powers; Show all 5 Authors
- Source:
- International journal of applied earth observation and geoinformation 2019 v.74 pp. 78-87
- ISSN:
- 1569-8432
- Subject:
- aircraft; biomass; cloud cover; crop production; food security; polarimetry; satellites; soil; spatial data; synthetic aperture radar; vegetation
- Abstract:
- ... Monitoring crop condition using optical satellite indices has a legacy of several decades. Early warning of variances in crop production is vital in mitigating regional and global food insecurity. Adoption of optical vegetation indices for this purpose is widespread, yet cloud cover impedes the acquisition of these data. Although early research using scatterometers and aircraft hinted at the sensi ...
- DOI:
- 10.1016/j.jag.2018.09.009
- https://doi.org/10.1016/j.jag.2018.09.009
- Author:
- H. McNairn, et al. ; Cosh Michael H.; Y. Gao; A. Colliander; M.S. Burgin; J.P. Walker; E. Dinnat; C. Chae; M.H. Cosh; T.G. Caldwell; A. Berg; J. Martinez-Fernandez; M. Seyfried; P.J. Starks; D.D. Bosch; Z. Su; R. van der Velde; Show all 17 Authors
- Source:
- Remote sensing of environment 2022 v.279 pp. 113113
- ISSN:
- 0034-4257
- Subject:
- algorithms; environment; land cover; microwave radiometers; models; roughness; satellites; soil water; temperature; time series analysis
- Abstract:
- ... L-band brightness temperature (TB) has been shown to provide the best sensitivity to soil moisture (SM) although C- and X-band based products offer a longer time-series from satellite-based measurements. Currently, global coverage SM is routinely produced from spaceborne measurements using all three frequency bands, but despite continued validation efforts of the products, the relative characteris ...
- Handle:
- 10113/7804738
- DOI:
- 10.1016/j.rse.2022.113113
- https://doi.org/10.1016/j.rse.2022.113113
- Author:
- H. McNairn, et al. ; C. Champagne; A.A. Berg; Show all 3 Authors
- Source:
- Remote sensing of environment 2011 v.115 no.10 pp. 2434-2444
- ISSN:
- 0034-4257
- Subject:
- agricultural soils; data collection; drought; landscapes; monitoring; remote sensing; satellites; soil surveys; soil water; temperature; Canada
- Abstract:
- ... Current methods to assess soil moisture extremes rely primarily on point-based in situ meteorological stations which typically provide precipitation and temperature rather than direct measurements of soil moisture. Microwave remote sensing offers the possibility of quantifying surface soil moisture conditions over large spatial extents. Capturing soil moisture anomalies normally requires a long te ...
- DOI:
- 10.1016/j.rse.2011.04.030
- https://doi.org/10.1016/j.rse.2011.04.030
- Author:
- H. McNairn, et al. ; J. Kolassa; R.H. Reichle; Q. Liu; S.H. Alemohammad; P. Gentine; K. Aida; J. Asanuma; S. Bircher; T. Caldwell; A. Colliander; M. Cosh; C. Holifield Collins; T.J. Jackson; J. Martínez-Fernández; A. Pacheco; M. Thibeault; J.P. Walker; Show all 18 Authors
- Source:
- Remote sensing of environment 2018 v.204 pp. 43-59
- ISSN:
- 0034-4257
- Subject:
- Earth Observing System; algorithms; climatology; image analysis; microwave radiometers; neural networks; remote sensing; satellites; soil temperature; soil water; vegetation; water content
- Abstract:
- ... A Neural Network (NN) algorithm was developed to estimate global surface soil moisture for April 2015 to March 2017 with a 2–3day repeat frequency using passive microwave observations from the Soil Moisture Active Passive (SMAP) satellite, surface soil temperatures from the NASA Goddard Earth Observing System Model version 5 (GEOS-5) land modeling system, and Moderate Resolution Imaging Spectrorad ...
- DOI:
- 10.1016/j.rse.2017.10.045
- PubMed:
- 29290638
- PubMed Central:
- PMC5744888
- https://doi.org/10.1016/j.rse.2017.10.045
- Author:
- H. McNairn, et al. ; C. Champagne; A.A. Berg; G. Drewitt; T. Huffman; Show all 5 Authors
- Source:
- Agricultural and forest meteorology 2012 v.165 no. pp. 1-11
- ISSN:
- 0168-1923
- Subject:
- crop yield; crops; developmental stages; drying; models; monitoring; prairies; satellites; soil depth; soil surface layers; soil water
- Abstract:
- ... Soil moisture is a critical variable in determining crop productivity in the Canadian prairies. Methods to estimate and measure soil moisture extremes all have limitations related to spatial coverage, data accuracy and temporal record length. Three soil moisture data sets (in situ, satellite and modelled) were evaluated to determine how well they capture extreme moisture conditions that impact cro ...
- DOI:
- 10.1016/j.agrformet.2012.06.003
- https://doi.org/10.1016/j.agrformet.2012.06.003
- Author:
- H. McNairn, et al. ; A. Colliander; T.J. Jackson; S.K. Chan; P. O'Neill; R. Bindlish; M.H. Cosh; T. Caldwell; J.P. Walker; A. Berg; M. Thibeault; J. Martínez-Fernández; K.H. Jensen; J. Asanuma; M.S. Seyfried; D.D. Bosch; P.J. Starks; C. Holifield Collins; J.H. Prueger; Z. Su; E. Lopez-Baeza; S.H. Yueh; Show all 22 Authors
- Source:
- Remote sensing of environment 2018 v.207 pp. 65-70
- ISSN:
- 0034-4257
- Subject:
- data collection; remote sensing; satellites; soil water
- Abstract:
- ... Satellite-based passive microwave remote sensing typically involves a scanning antenna that makes measurements at irregularly spaced locations. These locations can change on a day to day basis. Soil moisture products derived from satellite-based passive microwave remote sensing are usually resampled to a fixed Earth grid that facilitates their use in applications. In many cases the grid size is fi ...
- Handle:
- 10113/5906746
- DOI:
- 10.1016/j.rse.2018.02.006
- https://doi.org/10.1016/j.rse.2018.02.006
- Author:
- H. McNairn, 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; M. Thibeault; J. Martínez-Fernández; F. Uldall; M. Seyfried; D. Bosch; P. Starks; 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
- https://doi.org/10.1016/j.rse.2017.08.025
- Author:
- H. McNairn, 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; A. Pacheco; M. Moghaddam; C. Montzka; C. Notarnicola; G. Niedrist; T. Pellarin; J. Prueger; J. Pulliainen; K. Rautiainen; J. Ramos; M. Seyfried; P. Starks; 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
- https://doi.org/10.1016/j.rse.2017.01.021