Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Maziar M. Kandelous is active.

Publication


Featured researches published by Maziar M. Kandelous.


Remote Sensing | 2017

Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations

Ruyan He; Yufang Jin; Maziar M. Kandelous; Daniele Zaccaria; Blake L. Sanden; Richard L. Snyder; Jinbao Jiang; Jan W. Hopmans

California growers face challenges with water shortages and there is a strong need to use the least amount of water while optimizing yield. Timely information on evapotranspiration (ET), a dominant component of crop consumptive water use, is critical for growers to tailor irrigation management based on in-field spatial variability and in-season variations. We evaluated the performance of a remote sensing-based approach, Mapping Evapotranspiration at high Resolution with Internalized Calibration (METRIC), in mapping ET over an almond orchard in California, driven by Landsat satellite observations. Reference ET from a network of weather stations over well-watered grass (ETo) was used for the internal calibration and for deriving ET at daily and extended time period, instead of alfalfa based reference evapotranspiration (ETr). Our study showed that METRIC daily ET estimates during Landsat overpass dates agreed well with the field measurements. During 2009–2012, a root mean square error (RMSE) of 0.53 mm/day and a coefficient of determination (R2) of 0.87 were found between METRIC versus observed daily ET. Monthly ET estimates had a higher accuracy, with a RMSE of 12.08 mm/month, a R2 of 0.90, and a relatively small relative mean difference (RMD) of 9.68% during 2009–2012 growing seasons. Net radiation and Normalized Difference Vegetation Index (NDVI) from remote sensing observations were highly correlated with spatial and temporal ET estimates. An empirical model was developed to estimate daily ET using NDVI, net radiation (Rn), and vapor pressure deficit (VPD). The validation showed that the accuracy of this easy-to-use empirical method was slightly lower than that of METRIC but still reasonable, with a RMSE of 0.71 mm/day when compared to ground measurements. The remote sensing based ET estimate will support a variety of State and local interests in water use and irrigation management, for both planning and regulatory/compliance purposes, and it provides the farmers observation-based guidance for site-specific and time-sensitive irrigation management.


Agricultural Water Management | 2010

Numerical simulations of water movement in a subsurface drip irrigation system under field and laboratory conditions using HYDRUS-2D

Maziar M. Kandelous; Jiri Simunek


Irrigation Science | 2010

Comparison of numerical, analytical, and empirical models to estimate wetting patterns for surface and subsurface drip irrigation

Maziar M. Kandelous; Jiří Šimůnek


Soil Science Society of America Journal | 2011

Soil Water Content Distributions between Two Emitters of a Subsurface Drip Irrigation System

Maziar M. Kandelous; Jiří Šimůnek; M.Th. van Genuchten; Keyvan Malek


Agricultural Water Management | 2012

Evaluation of subsurface drip irrigation design and management parameters for alfalfa

Maziar M. Kandelous; Tamir Kamai; Jasper A. Vrugt; Jiří Šimůnek; Blaine R. Hanson; Jan W. Hopmans


Soil Science Society of America Journal | 2012

Analysis of the Role of Tortuosity and Infiltration Constants in the Beerkan Method

Paolo Nasta; Laurent Lassabatere; Maziar M. Kandelous; Jirka Šimůnek; Rafael Angulo-Jaramillo


Agricultural and Forest Meteorology | 2016

Downscaling transpiration rate from field to tree scale

Valentin Couvreur; Maziar M. Kandelous; Blake L. Sanden; Bruce Lampinen; Jan W. Hopmans


Procedia environmental sciences | 2013

Bayesian Inference of Tree Water Relations Using a Soil-Tree-Atmosphere Continuum Model☆

J. Rings; Tamir Kamai; Maziar M. Kandelous; Peter Hartsough; Jiri Simunek; Jasper A. Vrugt; Jan W. Hopmans


Soil Science Society of America Journal | 2015

An Alternative Tensiometer Design for Deep Vadose Zone Monitoring

Maziar M. Kandelous; Barzin A. Moradi; Jan W. Hopmans


Agricultural Water Management | 2019

Uncertainties in leaching assessment in micro-irrigated fields using water balance approach

Isaya Kisekka; Maziar M. Kandelous; Blake L. Sanden; Jan W. Hopmans

Collaboration


Dive into the Maziar M. Kandelous's collaboration.

Top Co-Authors

Avatar

Jan W. Hopmans

University of California

View shared research outputs
Top Co-Authors

Avatar

Valentin Couvreur

Université catholique de Louvain

View shared research outputs
Top Co-Authors

Avatar

Ahmad B. Moradi

Helmholtz Centre for Environmental Research - UFZ

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Tamir Kamai

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bruce Lampinen

University of California

View shared research outputs
Top Co-Authors

Avatar

Jiri Simunek

University of California

View shared research outputs
Researchain Logo
Decentralizing Knowledge