Search results for "Soil Moisture"

showing 10 items of 74 documents

The CoSMOS L-band experiment in Southeast Australia

2007

The CoSMOS (Campaign for validating the Operation of the Soil Moisture and Ocean Salinity mission) campaign was conducted during November of 2005 in the Goulburn River Catchment, in SE Australia. The main objective of CoSMOS was to obtain a series of L-band measurements from the air in order to validate the L-band emission model that will be used by the SMOS (Soil Moisture and Ocean Salinity) ground segment processor. In addition, the campaign was designed to investigate open questions including the Sun-glint effect over land, the application of polarimetric measurements over land, and to clarify the importance of dew and interception for soil moisture retrievals. This paper summarises the …

Radiometer010504 meteorology & atmospheric sciencesMeteorologyPASSIVE MICROWAVES[SDV]Life Sciences [q-bio]BRIGHTNESS TEMPERATURE0211 other engineering and technologiesL-BAND EMISSION MODEL02 engineering and technology15. Life on land01 natural sciencesSalinity13. Climate action[SDE]Environmental SciencesSOIL MOISTUREEnvironmental scienceRadiometryDewGround segmentInterceptionWater contentCosmosComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciences
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Remote sensing data for crop yield in CONUS

2023

I) SUMMARY This database contains harmonized time series for the study of crop yields using remote sensing data and meteorological data. We collected information on soybean, corn, and wheat yields (t/ha) over the CONUS (continuous US) from USDA-NASS for years 2015–2018 at a county level, and collocated time series for the following variables: Enhanced Vegetation Index (EVI) from MODIS satellite (MOD13C1 v6 product) Soil Moisture (SM) from SMAP satellite through MT-DCA algorithm Vegetation Optical Depth (VOD) from SMAP satellite through MT-DCA algorithm Maximum temperature (TMAX) from Daymet v3 Precipitation (PRCP) from Daymet v3 II) CONTACT For questions, please email Laura Mart&iacut…

Remote SensingCONUSSoil MoistureVODCrop YieldEVI
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Responses of apple to partial root-zone drying. A review.

2013

Partial root-zone drying (PRD) is a relatively recent strategy aiming at substantial reduction of irrigation volume. It consists of the alternate irrigation of one portion of the root-zone with volumes reduced to about 40-50% of conventional water. PRD is based on the ability of roots in drying soil to produce hormonal signals, like abscissic acid (ABA), responsible for partial stomatal closure. In turn, partial stomatal closure would improve water use efficiency and increase fruit yield per unit of irrigation water. This technique has been tested on a number of fruit crops, including apple. In addition to climatic conditions, which mainly affect atmospheric water demand, soil properties an…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeDEFICIT IRRIGATION MALUS DOMESTICA YIELD FRUIT QUALITY WATER RELATIONS SOIL MOISTURE
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A New Calibration Equation for Diviner2000 Capacitance Probe Accounting for Soil Shrinkage Characteristic Curve and Estimation of Parameters on the B…

2014

Real-time measurements of soil water status are quite often used for irrigation scheduling and particularly in precision irrigation, in order to identify the exact timing and amount to supply to crops according to their water requirements. Diviner2000 capacitance probes, measuring the apparent soil dielectric permittivity, have been extensively used in the last decade. Several studies have shown that, for different soils, there is a relationship between the volumetric soil water content (SWC) and the scaled frequency (SF) measured by the sensor. However, for swelling/shrinking clay soils, for which bulk density changes with soil water content, there is a lack of knowledge on how these varia…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeFDR SOIL MOISTURE SENSOR CALIBRATIONSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
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Indirect estimation of calibration equation parameters for Sentek Diviner 2000 capacitance probe by means of soil physical properties

2014

Measurements of soil water content (SWC) are often used for irrigation scheduling. Accurate monitoring of SWC is necessary, for example, to identify the exact irrigation timing and the amount of water volume to supply according to the crop requirement. The use of capacitance probes, measuring the apparent soil dielectric permittivity, indirectly related to soil water status, have been increasing during the last decade, as proved by the numerous researches carried out to determine, for different soil types, site-specific calibration relationships between SWC and the scaled frequency (SF) measured by the sensor. However, for swelling/shrinking clay soils, there is a lack of knowledge on how t…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeFDR soil moisture sensors Diviner 2000 CalibrazioneSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali
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Subsurface drip irrigated potato (Solanum tuberosum L.) with saline water under Tunisian climate

2012

Field experiment was conducted at the Higher Institute of Agronomy of Chott Meriem (Tunisia) during the growing season (2011/2012) to investigate the effects of water quality on water‘s dynamic in soil (water potential, soilcmoisture distribution, water’s stock in soil) and water use efficiency (WUE) to produce potato (Solanum tuberosum L.). Irrigation management treatments were fresh (1 dS m-1) and saline waters (4 dS m-1). Subsurface drip irrigation was used, a rate of 4 L h-1 applied at the same irrigation duration and interval. The results indicate that water content is more uniform using the saline water varies from 15 to 23% than treatment varies from 10 to 26%. The recorded changes o…

Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestalidynamic in soil soil moisture water use efficiency potato saline water.
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Synergistic integration of optical and microwave satellite data for crop yield estimation

2019

Developing accurate models of crop stress, phenology and productivity is of paramount importance, given the increasing need of food. Earth observation (EO) remote sensing data provides a unique source of information to monitor crops in a temporally resolved and spatially explicit way. In this study, we propose the combination of multisensor (optical and microwave) remote sensing data for crop yield estimation and forecasting using two novel approaches. We first propose the lag between Enhanced Vegetation Index (EVI) derived from MODIS and Vegetation Optical Depth (VOD) derived from SMAP as a new joint metric combining the information from the two satellite sensors in a unique feature or des…

Signal Processing (eess.SP)FOS: Computer and information sciencesEarth observationCoefficient of determinationTeledetecció010504 meteorology & atmospheric sciencesEnhanced vegetation index0208 environmental biotechnologyFOS: Physical sciencesSoil Science02 engineering and technologyStatistics - Applications01 natural sciencesArticleModerate resolution imaging spectroradiometer (MODIS)Robustness (computer science)Machine learningLinear regressionFOS: Electrical engineering electronic engineering information engineeringFeature (machine learning)Kernel ridge regressionCrop yield estimationVegetation optical depthApplications (stat.AP)Electrical Engineering and Systems Science - Signal ProcessingComputers in Earth Sciences0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerCrop yieldProcessos estocàsticsGeologyEnhanced vegetation indexAgro-ecosystems020801 environmental engineeringPhysics - Data Analysis Statistics and ProbabilityMetric (mathematics)Soil moisture active passive (SMAP)Data Analysis Statistics and Probability (physics.data-an)Imatges Processament
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SENTINEL-1 for wheat mapping and soil moisture retrieval

2015

The main objective of this study is to assess the use of Sentinel-1 (S-1) data for surface soil moisture (SSM) retrieval and wheat mapping (WM) at high spatial resolution (e.g. 100–500m), which constitute valuable information for improving crop yield forecast at large scale. A knowledge based classification method and a SSM retrieval algorithm, developed in view of the European Space Agency Sentinel-1 mission, have been applied to a time series of S-1A data collected from October 2014 to April 2015 over a well-documented agricultural site in southern Italy. In particular, observations of SSM content recorded by a network of ground stations deployed in an experimental farm have been used to …

Soil mapSynthetic aperture radarDigital soil mappingcrop mapsRange (statistics)Environmental scienceSentinel-1soil moisture contentTime seriesScale (map)Water contentRoot-mean-square deviationRemote sensing
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Spatial Distribution of Soil Hydrological Properties in the Kilombero Floodplain, Tanzania

2017

Analysis and interpretation of soil properties dynamics is a keystone in understanding the hydrologic responses and yield potential of floodplain wetlands. This study characterizes the distribution and spatial trends of selected soil physical properties in the Kilombero floodplain, Tanzania. A total of 76 composite soil samples were taken from 0 to 20 cm and 20 to 40 cm depth in a regular grid design across three hydrological zones, related to flooding intensity defined as fringe, middle, and riparian during the rainy season of 2015. The samples were analyzed for soil texture, bulk density, organic carbon, and saturated hydraulic conductivity. Seasonal soil moisture content was monitored at…

Soil testSoil texture0208 environmental biotechnologySoil science02 engineering and technologyOceanographyhydrological zonesHydraulic conductivitysoil properties; hydrological zones; wetland; soil moisture; geostatisticsgeostatisticslcsh:ScienceWaste Management and DisposalWater contentSubsoilEarth-Surface ProcessesWater Science and TechnologyRiparian zoneTopsoilgeographygeography.geographical_feature_category04 agricultural and veterinary sciencesSoil carbonwetland020801 environmental engineeringsoil properties040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencelcsh:Qsoil moistureHydrology; Volume 4; Issue 4; Pages: 57
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Evaluation of fine soil moisture data from the IFloodS (NASA GPM) Ground Validation campaign using a fully-distributed ecohydrological model

2014

Spatially-Distributed ModelSoil MoistureSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologia
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