EurekaMag.com logo
+ Site Statistics
References:
53,869,633
Abstracts:
29,686,251
+ Search Articles
+ Subscribe to Site Feeds
EurekaMag Most Shared ContentMost Shared
EurekaMag PDF Full Text ContentPDF Full Text
+ PDF Full Text
Request PDF Full TextRequest PDF Full Text
+ Follow Us
Follow on FacebookFollow on Facebook
Follow on TwitterFollow on Twitter
Follow on LinkedInFollow on LinkedIn

+ Translate

Experimental data for separation of vegetation and soil and estimation of soil moisture using passive microwaves



Experimental data for separation of vegetation and soil and estimation of soil moisture using passive microwaves



International Journal of Remote Sensing 11(8): 1421-1438



Microwave radiometer measurements of soil moisture content were made over bare and vegetated fields with dual polarized microwave radiometers at 1.55 GHz (L-band) and 19.1 GHz (K-band). Two typical Indian crops Bazra and Gawar have been studied. The bare field measurements were used to investigate the effect of soil texture on sensitivity of a radiometer to soil moisture and for soil moisture sampling depth. It is found that expression of soil moisture as available moisture content in the soil can minimize the texture effect. The estimated soil moisture sampling depth for L-band is 2-5 cm, while for K-band it is less than 2 cm. The vegetation cover affects the sensitivity of the radiometer to soil moisture. This effect is more pronounced the denser the vegetation and higher the frequency of observation. The measured polarization factor over a vegetated field at L-band was found to be appreciably reduced compared to that over a bare field. The difference between normalized brightness temperature from L-band and K-band is sensitive to vegetation type. The soil moisture under vegetation cover at L-band can be predicted well using Jackson's parametric model.

(PDF emailed within 0-6 h: $19.90)

Accession: 001831700

Download citation: RISBibTeXText

DOI: 10.1080/01431169008955103



Related references

Estimating root zone soil moisture from surface soil moisture data and soil-vegetation-atmosphere transfer modeling. Water Resources Research 35(12): 3735-3745, 1999

Soil moisture estimation under a vegetation cover: Combined active passive microwave remote sensing approach. International Journal of Remote Sensing 18(5): 1079-1097, 1997

Standardized Soil Moisture Index for Drought Monitoring Based on Soil Moisture Active Passive Observations and 36 Years of North American Land Data Assimilation System Data: A Case Study in the Southeast United States. Remote Sensing 10(2): 301, 2018

Measuring soil moisture change with vegetation cover using passive and active microwave data. International Geoscience and Remote Sensing Symposium 2002, Volume 5: 3071-3073, 2002

On the Disaggregation of Passive Microwave Soil Moisture Data Using A Priori Knowledge of Temporally Persistent Soil Moisture Fields. IEEE Transactions on Geoscience and Remote Sensing 46(3): 819-834, 2008

Improvement of moisture estimation accuracy of vegetation-covered soil by combined active/passive microwave remote sensing. IEEE Transactions on Geoscience and Remote Sensing 21(3): 301-307, 1983

Soil moisture estimation using 1.4GHz passive microwave radiometer data from local to regional scales. Conference on Hydrology - Preprints 14: 47-50, 1999

Root-zone soil moisture estimation from assimilation of downscaled Soil Moisture and Ocean Salinity data. Advances in Water Resources 84: 14-22, 2015

Method using meteorological data for estimation of soil moisture content and soil moisture changes in cultivated land. Grundforbattring 74, 26 (2 3) 57-153, 1973

The use of meteorological data for estimation of soil moisture content and soil moisture changes in cultivated land. Grundforbattring 74; 26(2-3): 57-153, 1973

An algorithm to retrieve soil moisture using synergistic active/ passive microwave data on bare soil surface. International Geoscience and Remote Sensing Symposium 2003, Volume 2(Pages 917-919, 2003

A method to downscale soil moisture to fine resolutions using topographic, vegetation, and soil data. Advances in Water Resources 76: 81-96, 2015

Soil moisture estimation with ERS-1 SAR data in the East-German loess soil area. International Journal of Remote Sensing 19(2): 237-243, Jan 20, 1998

The estimation of time series data for soil respiration based on soil temperature and soil moisture content ratio and its spatial variations in a small mountainous catchment: in the case of weathered granite region in Southern Kyoto Prefecture. Journal of the Japanese Forest Society 87(4): 331-339, 2005

Incorporating soil texture in soil moisture estimation from extended low-1 beam mode RADARSAT-1 SAR data. International Journal of Remote Sensing 27(12/14): 2587-2598, 2006