Champagne et al., 2012 - Google Patents
Evaluation of soil moisture extremes for agricultural productivity in the Canadian prairiesChampagne et al., 2012
- Document ID
- 18061506888648512487
- Author
- Champagne C
- Berg A
- McNairn H
- Drewitt G
- Huffman T
- Publication year
- Publication venue
- Agricultural and forest meteorology
External Links
Snippet
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 …
- 239000002689 soil 0 title abstract description 281
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/10—Devices for predicting weather conditions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/24—Investigating or analysing materials by specific methods not covered by the preceding groups earth materials
- G01N33/246—Investigating or analysing materials by specific methods not covered by the preceding groups earth materials for water content
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0073—Control unit therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/56—Investigating or analyzing materials by the use of thermal means by investigating moisture content
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R29/00—Arrangements for measuring or indicating electric quantities not covered by groups G01R19/00 - G01R27/00
- G01R29/08—Measuring electromagnetic field characteristics
- G01R29/0807—Measuring electromagnetic field characteristics characterised by the application
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V9/00—Prospecting or detecting by methods not provided for in groups G01V1/00 - G01V8/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N22/00—Investigating or analysing materials by the use of microwaves
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Champagne et al. | Evaluation of soil moisture extremes for agricultural productivity in the Canadian prairies | |
He et al. | Satellite data-driven modeling of field scale evapotranspiration in croplands using the MOD16 algorithm framework | |
Xia et al. | Evaluation of multi-model simulated soil moisture in NLDAS-2 | |
Lü et al. | Dual state-parameter estimation of root zone soil moisture by optimal parameter estimation and extended Kalman filter data assimilation | |
Albergel et al. | Soil moisture analyses at ECMWF: Evaluation using global ground-based in situ observations | |
Gumindoga et al. | Predicting streamflow for land cover changes in the Upper Gilgel Abay River Basin, Ethiopia: A TOPMODEL based approach | |
Bosch et al. | Large scale measurements of soil moisture for validation of remotely sensed data: Georgia soil moisture experiment of 2003 | |
Cho et al. | An assessment of remotely sensed surface and root zone soil moisture through active and passive sensors in northeast Asia | |
Zhang et al. | Evaluation of the MIKE SHE model for application in the Loess Plateau, China 1 | |
Caiqiong et al. | Application of HYDRUS-1D model to provide antecedent soil water contents for analysis of runoff and soil erosion from a slope on the Loess Plateau | |
Champagne et al. | Monitoring agricultural soil moisture extremes in Canada using passive microwave remote sensing | |
Myeni et al. | Present status of soil moisture estimation over the African continent | |
Han et al. | Benchmarking a soil moisture data assimilation system for agricultural drought monitoring | |
Negm et al. | Assessing the suitability of American National Aeronautics and Space Administration (NASA) agro-climatology archive to predict daily meteorological variables and reference evapotranspiration in Sicily, Italy | |
Bocchiola et al. | Spatial estimation of Snow Water Equivalent at different dates within the Adamello Park of Italy | |
Ruiz-Pérez et al. | Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI | |
Wang et al. | Dynamical effects of plastic mulch on evapotranspiration partitioning in a mulched agriculture ecosystem: Measurement with numerical modeling | |
Qiao et al. | Parameter Uncertainty Reduction for SWAT Using Grace, Streamflow, and Groundwater Table Data for Lower Missouri River Basin 1 | |
Peng et al. | Reappraisal of the roughness effect parameterization schemes for L-band radiometry over bare soil | |
Mtibaa et al. | Hydrological evaluation of radar and satellite gauge-merged precipitation datasets using the SWAT model: Case of the Terauchi catchment in Japan | |
Aouade et al. | Evapotranspiration partition using the multiple energy balance version of the ISBA-Ag s land surface model over two irrigated crops in a semi-arid Mediterranean region (Marrakech, Morocco) | |
Suman et al. | Comparison of soil dielectric mixing models for soil moisture retrieval using SMAP brightness temperature over croplands in India | |
Zhang et al. | A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration | |
Brimelow et al. | Validation of soil moisture simulations from the PAMII model, and an assessment of their sensitivity to uncertainties in soil hydraulic parameters | |
Faouzi et al. | Sensitivity analysis of CN using SCS-CN approach, rain gauges and TRMM satellite data assessment into HEC-HMS hydrological model in the upper basin of Oum Er Rbia, Morocco |