An empirical vegetation correction for soil water content quantification using cosmic ray probes
Open Access
- 10 March 2015
- journal article
- research article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 51 (4), 2030-2046
- https://doi.org/10.1002/2014wr016443
Abstract
No abstract availableKeywords
Funding Information
- SFB-TR32 "Pattern in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation"
- Deutsche Forschungsgemeinschaft
- TERENO
- Helmholtz-Gemeinschaft
This publication has 38 references indexed in Scilit:
- Ecosystem‐scale measurements of biomass water using cosmic ray neutronsGeophysical Research Letters, 2013
- Field Validation of a Cosmic‐Ray Neutron Sensor Using a Distributed Sensor NetworkVadose Zone Journal, 2012
- Measurement depth of the cosmic ray soil moisture probe affected by hydrogen from various sourcesWater Resources Research, 2012
- Recent decline in the global land evapotranspiration trend due to limited moisture supplyNature, 2010
- Measuring soil moisture content non‐invasively at intermediate spatial scale using cosmic‐ray neutronsGeophysical Research Letters, 2008
- Modelling the water balance of a mesoscale catchment basin using remotely sensed land cover dataJournal of Hydrology, 2008
- On the value of soil moisture measurements in vadose zone hydrology: A reviewWater Resources Research, 2008
- Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeansRemote Sensing of Environment, 2004
- Regions of Strong Coupling Between Soil Moisture and PrecipitationScience, 2004
- Spatial and temporal distribution of secondary cosmic-ray nucleon intensities and applications to in situ cosmogenic datingEarth and Planetary Science Letters, 2003