Data fusion techniques for mapping daily water use and vegetation stress at field scales

Date

2014-02-02

Author

Anderson, Martha C
Cammalleri, C,
Gao, F,
Wang, P,
Hain, C,
Yılmaz, Mustafa Tuğrul
Kustas, Wp

Metadata

Show full item record

Item Usage Stats

82
views

0
downloads

Satellite retrievals of land-surface temperature derived from thermal infrared (TIR) imagery have proven to have significant value in constraining diagnostic models of surface energy balance and evapotranspiration (ET). TIR-based ET retrievals capture important hydrologic features that are typically missed by standard prognostic land-surface models constrained by water balance, such as local ET enhancements due to irrigation, shallow groundwater tables, or sub-pixel surface water bodies. Polar orbiting systems like Landsat collect 60-100 m resolution TIR imagery every 8-16 days, providing spatiotemporal capabilities for monitoring realtime ET and vegetation stress/drought globally at the scale of human management � nominally, the field scale. Recent experiments have demonstrated that the temporal sampling of high resolution TIR imaging systems can be further enhanced by fusing lower spatial (1 km) but higher temporal resolution (~daily) ET retrievals using TIR data from the Moderate Resolution Imaging Spectroradiometer (MODIS) systems on board the Terra and Aqua satellite platforms. We describe implementations of a prototype Landsat-MODIS ET data fusion over rainfed and irrigated agricultural fields in the U.S. and demonstrate added value in comparison with a simple Landsat-only interpolation scheme � particularly when a rainfall event occurs between Landsat overpasses. Potential applications for fused ET datasets will be discussed, with societal benefits in the areas of food and water security.

URI

https://hdl.handle.net/11511/72236
https://ams.confex.com/ams/94Annual/webprogram/Paper238107.html
https://ams.confex.com/ams/94Annual/videogateway.cgi/id/26136?recordingid=26136

Conference Name

94th American Meteorological Society Annual Meeting (02 - 06 Şubat 2014)

Collections

Department of Civil Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Computational Spectral Imaging Techniques for High-Resolution and Instantaneous Observations of the Solar Corona Öktem, Sevinç Figen; Davila, Joseph M (2014-08-18) Spectral imaging is a fundamental diagnostic technique for the study of the solar coronal plasma, and spectral data is routinely used to measure the temperature, density, and flow velocity in coronal features. However, obtaining the spectra of a multi-dimensional region with inherently two-dimensional detectors poses intrinsic limitations on the spatio-temporal extent of the technique. In particular, slit spectrographs suffer from a limited instantaneous field-of-view (IFOV), and filter-based spectral image...
Evaluating the thermal stratification of Koycegiz Lake (SW Turkey) using in-situ and remote sensing observations Kurtulus, Tugba; Kurtulus, Bedri; Avsar, Ozgur; Avşar, Ulaş (Elsevier BV, 2019-10-01) The goal of this study is to evaluate the thermal properties of Koycegiz Lake using in-situ measurements and satellite based thermal infrared imagery. In-situ measurements of surface water temperature and water depth, as well as meteorological data, were used in the analysis. Images of the Landsat 8 TIRS (Thermal Infrared (IR) Sensors) at IR channels were taken from the data archives of United State Geological Survey (USGS), and were validated with surface in-situ measurements. Specific Electrical conductiv...
Parametric Study and Seasonal Simulations of a Solar Powered Adsorption Cooling System Taylan, Onur; Baker, Derek Keıth; Kaftanoglu, Bilgin (2009-09-03) Models of solar-thermal powered adsorption cooling systems with and without heat recovery developed in TRNSYS and results from steady-periodic and seasonal simulations are presented. A normalized model is presented and used to process the seasonal TRNSYS results to investigate the coincidence between the solar-supplied cooling power and cooling load as the relative sizes of the cooling system and storage are varied. The normalized model yields a seasonal solar fraction and seasonal loss fraction (the excess...
Optical design of a thermal infrared imager for a micro-satellite Salçın, Esen; Esendemir, Akif; Department of Physics (2006) Space-based infrared Earth observation systems provide a unique opportunity for the detection of thermal variations on Earth’s surface or atmosphere. The objective of this study is to propose an optical design of a thermal imager that is suitable for flight on a micro-satellite platform at an altitude of 650 km, providing the necessary resolution requirements under the considerations of physical boundaries of the given platform. Before the optical design, the parameters which would strictly bound the optica...
Analyses of atmospheric and marine observations along the Turkish coast Tutsak, Ersin; Özsoy, Emin; Department of Physical Oceanography (2012) Time series and spectral analyses are applied to meteorological data (wind velocity, air temperature, barometric pressure) and sea level measurements from a total of 13 monitoring stations along the Turkish Coast. Analyses of four-year time series identify main time scales of transport and motion while establishing seasonal characteristics, i.e. distinguishing, for instance, between winter storms and summer sea-breeze system. Marine flow data acquired by acoustic doppler current pro filers (ADCP) is also a...

Citation Formats

M. C. Anderson et al., “Data fusion techniques for mapping daily water use and vegetation stress at field scales,” presented at the 94th American Meteorological Society Annual Meeting (02 - 06 Şubat 2014), Atlanta, GA, 2014, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/72236.