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microwave remotely-sensed soil moisture

Error characterisation of global active and passive microwave soil moisture datasets

Error characterisation of global active and passive microwave soil moisture datasets

... of remotely sensed soil moisture observations is essential for correctly interpreting observed variations and trends in the data or as- similating them in hydrological or numerical weather ...

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Artificial Neural Network Model for Soil Moisture Estimation at Microwave Frequency

Artificial Neural Network Model for Soil Moisture Estimation at Microwave Frequency

... of microwave frequencies for the dielectric- property extraction of ...of moisture content in soil at L, S and C frequency ...the soil moisture content so that crop growth and ...

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An Improved Data-Driven Approach for the Prediction of Rainfall-Triggered Soil Slides Using Downscaled Remotely Sensed Soil Moisture

An Improved Data-Driven Approach for the Prediction of Rainfall-Triggered Soil Slides Using Downscaled Remotely Sensed Soil Moisture

... using remotely sensed soil moisture in the study of ...among remotely sensed soil moisture content, precipitation, and landslide ...that microwave remote ...

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The suitability of remotely sensed soil moisture for improving operational flood forecasting

The suitability of remotely sensed soil moisture for improving operational flood forecasting

... pre-storm soil moisture conditions could potentially improve flood forecasting systems, since initial soil moisture condi- tions are expected to have a large impact on the flood peaks during a ...

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Recent Advances in Soil Moisture Estimation from Remote Sensing

Recent Advances in Soil Moisture Estimation from Remote Sensing

... Soil moisture is an essential variable in the earth system, as it influences the exchange of water, energy and carbon fluxes between the land surface and the ...[1–4]. Soil moisture can be ...

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Cross evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France

Cross evaluation of modelled and remotely sensed surface soil moisture with in situ data in southwestern France

... SMOSMANIA soil moisture network in Southwestern France is used to evaluate modelled and re- motely sensed soil moisture ...surface soil mois- ture (SSM) measured in situ at 5 cm ...

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Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data

Estimating irrigation water use over the contiguous United States by combining satellite and reanalysis soil moisture data

... the microwave soil moisture prod- ucts and ...satellite soil moisture retrievals with respect to the average field ...the remotely sensed ...coarse-scale microwave ...

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A simple parameterisation for retrieving soil moisture from passive microwave data

A simple parameterisation for retrieving soil moisture from passive microwave data

... using remotely sensed data more ...couple soil-vegetation-atmosphere transfer schemes with models of microwave emission from the land surface, for example, MICRO-SWEAT (Burke et ...of ...

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Estimating grassland curing with remotely sensed data

Estimating grassland curing with remotely sensed data

... vanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E) and derived using the Land Parameter Retrieval Model (LPRM) approach from which soil mois- ture and VOD are retrieved simultaneously ...

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Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model

Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model

... surface soil moisture together with its associated ...of soil. However, observations based on different microwave frequencies and soil moisture conditions may be represen- tative ...

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Characterization of Soil Spatial Variability for Site-Specific Management Using Soil Electrical Conductivity and Other Remotely Sensed Data

Characterization of Soil Spatial Variability for Site-Specific Management Using Soil Electrical Conductivity and Other Remotely Sensed Data

... about soil and crop conditions, a spatial resolution of 5 m or less seems to be required and some specific applications may need resolutions in the order of centimeters (Robert, ...

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Relating surface backscatter response from TRMM precipitation radar to soil moisture: results over a semi arid region

Relating surface backscatter response from TRMM precipitation radar to soil moisture: results over a semi arid region

... to soil moisture than Ku-band due to relatively lesser attenuation by vegetation stand (Ulaby et ...map soil moisture in Canadian prairies (Wagner et ...retrieve soil mois- ture for ...

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WEDDA - An Aggregation Strategy for Cluster Based Wireless Sensor Networks with Sparsely Placed Sensor Nodes

WEDDA - An Aggregation Strategy for Cluster Based Wireless Sensor Networks with Sparsely Placed Sensor Nodes

... Although wireless sensor networks are not supposed to aggregate the data on the sensor node due to memory and power constraint but it in absence of that the huge volume of the transmitted data and using routing ...

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Behaviour of Dielectric Properties of Soil of Northeast Region of Nasik with Variation of Moisture Content

Behaviour of Dielectric Properties of Soil of Northeast Region of Nasik with Variation of Moisture Content

... and moisture content in the ...the microwave frequency region, soil moisture content has strong influence on its dielectric and hence emissive properties at microwave frequencies ...

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Postfire soil burn severity mapping with hyperspectral image unmixing

Postfire soil burn severity mapping with hyperspectral image unmixing

... (ash, soil, scorched and green vegetation, litter and new litter) that were determined to be important for evaluating soil burn ...the soil surface. These surface fire effects, especially soil ...

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Soil and Crop/Tree Segmentation from Remotely Sensed Data by Using Digital Surface Models

Soil and Crop/Tree Segmentation from Remotely Sensed Data by Using Digital Surface Models

... Figure 17. The result of the FANSCAN soil extraction applied to figure 8 at N v = 100 fan rasters per horizontal seed point. Note how certain parts of the object field have been included in the soil ...

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Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation

Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation

... three soil layers that, in contrast to most land surface models, do not have a predefined depth ...each soil layer has a prescribed maximum water storage capacity. Soil wetness outputs are water ...

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Multimodal learning from visual and remotely sensed data

Multimodal learning from visual and remotely sensed data

... This thesis has proposed information-theoretic measures to aid survey planning, by predicting the expected utility of visual information given the available bathymetric data.. Future wor[r] ...

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Assessment of remotely sensed drought features in vulnerable agriculture

Assessment of remotely sensed drought features in vulnerable agriculture

... There are several drought indices based on ground (con- ventional) and/or remotely sensed data (Kanellou et al., 2011). Satellite images and data are consistently available and can be used to detect several ...

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Sensitivity of remotely sensed trace gas concentrations to polarisation

Sensitivity of remotely sensed trace gas concentrations to polarisation

... We stress, however, that the retrieval algorithm assumes a non-polarising, Lambertian surface and fixed types of aerosol and cloud whose scattering properties are specified, so its abili[r] ...

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