271
Views
17
CrossRef citations to date
0
Altmetric
Original Articles

Monitoring of soil moisture over the Kuwait desert using remote sensing techniques

&
Pages 4373-4385 | Received 10 Jun 2008, Accepted 02 Dec 2008, Published online: 13 Sep 2010
 

Abstract

Field experiments were conducted in synchronous with Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) passes over the Kuwait desert covering one pixel of 25 km circular diameter. Forty-five soil samples were collected within a pixel resolution to estimate the effective soil moisture, and nine such campaigns were conducted during the period December 2005 to March 2006. Field-estimated soil moisture values up to 5 cm depth were compared with AMSR-E soil moisture values and our model results. It was observed that the field soil moisture values are consistently lower than AMSR-E and our model values. However, the difference is within the errors. AMSR-E soil moisture and our model values agree with each other. Monthly average soil moisture maps of Kuwait were generated from AMSR-E data to study the temporal and spatial variability of soil moisture. It is observed that the maximum soil moisture during January is about 10%, and most of the year the values are about 5% soil moisture.

Acknowledgement

The support provided by Kuwait University through project code SP06/04 is gratefully acknowledged.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.