Scaling vegetation water content from thematic mapper to MODIS during SMEX04

2006-12-01
Hunt Jr., E. Raymond
Yılmaz, Mustafa Tuğrul
Jackson, Thomas J.
Vegetation water content (VWC) is important for accurate retrievals of soil moisture using microwave sensors and may be important for determining water stress and forest fire potential. The MODerate resolution Imaging Spectroradiometer (MODIS) and future operational sensors have bands in the shortwave infrared region which can be used for monitoring VWC. The Soil Moisture Experiments 2004 (SMEX04) were conducted during the summer-monsoon season in Arizona, USA, and Sonora, Mexico, as part of the North American Monsoon Experiment. Plots from different vegetation types were sampled for leaf area index and leaf equivalent water thickness. Landsat 5 Thematic Mapper (TM) and MODIS imagery were acquired for three dates, before, during and after the SMEX04 experiment. The Normalized Difference Infrared Index [NDII = (R-850 - R-1650)/(R-850 + R-1650)] was linearly related to canopy equivalent water thickness for the Landsat 5 TM data. The TM-estimated canopy equivalent water thickness were aggregated and linearly related to canopy equivalent water thickness from MODIS, showing that MODIS and future sensors would be useful in estimating vegetation water content.

Suggestions

Remote sensing of vegetation water content using shortwave infrared reflectances
Hunt Jr., E. Raymond; Yılmaz, Mustafa Tuğrul (2007-12-01)
Vegetation water content is an important biophysical parameter for estimation of soil moisture from microwave radiometers. One of the objectives of the Soil Moisture Experiments in 2004 (SMEX04) and 2005 (SMEX05) were to develop and test algorithms for a vegetation water content data product using shortwave infrared reflectances. SMEX04 studied native vegetation in Arizona, USA, and Sonora, Mexico, while SMEX05 studied corn and soybean in Iowa, USA. The normalized difference infrared index (NDII) is defined...
Remote sensing of leaf equivalent water thickness and vegetation water content using shortwave infrared reflectances
Hunt, Er; Yılmaz, Mustafa Tuğrul; Jackson, Tj (null; 2008-04-28)
Vegetation water content is an important biophysical parameter for estimation of soil moisture from microwave radiometers. One of the objectives of the Soil Moisture Experiments in 2004 (SMEX04) and 2005 (SMEX05) were to develop and test algorithms for a vegetation water content data product using shortwave infrared reflectances. SMEX04 studied native vegetation in Arizona, USA, and Sonora, Mexico, while SMEX05 studied corn and soybean in Iowa, USA. The normalized difference infrared index (NDII) is defined...
Obtaining soil-water characteristic curves by numerical modeling of drainage in particulate media /
Shoarian Sattari, Amir; Toker, Nabi Kartal; Department of Civil Engineering (2014)
The soil water characteristic curve (SWCC) reflects fundamental drainage properties of partially saturated soils by revealing the relation between soil suction and water content. Although during the past decades, various experimental methods have been proposed for obtaining the SWCC, these approaches are generally time consuming, expensive and highly dependent on operator skills. One solution to this has been sought through various empirical or physico-empirical formulations that link the SWCC to common soi...
Comparison of vegetation water content estimates from WindSat and MODIS
Hunt Jr., E. Raymond; Li, Li; Yılmaz, Mustafa Tuğrul; Jackson, Thomas J. (2010-12-01)
Retrieval of soil moisture content from microwave sensors also returns an estimate of vegetation water content. Remotely sensed indices from optical sensors can be used to estimate canopy water content. For corn and soybean in central Iowa, there are allometric relationships between canopy water content and vegetation water content. The Normalized Difference Infrared Index from MODIS was used to estimate vegetation water content. We compared independent estimates of vegetation water content from WindSat and...
Using cosmic-ray neutron probes in validating satellite soil moisture products and land surface models
Duygu, Mustafa Berk; Akyürek, Sevda Zuhal (MDPI AG, 2019-01-01)
Soil moisture content is one of the most important parameters of hydrological studies. Cosmic-ray neutron sensing is a promising proximal soil moisture sensing technique at intermediate scale and high temporal resolution. In this study, we validate satellite soil moisture products for the period of March 2015 and December 2018 by using several existing Cosmic Ray Neutron Probe (CRNP) stations of the COSMOS database and a CRNP station that was installed in the south part of Turkey in October 2016. Soil moist...
Citation Formats
E. R. Hunt Jr., M. T. Yılmaz, and T. J. Jackson, “Scaling vegetation water content from thematic mapper to MODIS during SMEX04,” 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38393.