Next Article in Journal
Automatic Outcome in Manual Dexterity Assessment Using Colour Segmentation and Nearest Neighbour Classifier
Next Article in Special Issue
Integrating Early Growth Information to Monitor Winter Wheat Powdery Mildew Using Multi-Temporal Landsat-8 Imagery
Previous Article in Journal
Effect of Metal Thickness on the Sensitivity of Crack-Based Sensors
Previous Article in Special Issue
Detection of Stress in Cotton (Gossypium hirsutum L.) Caused by Aphids Using Leaf Level Hyperspectral Measurements
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(9), 2875; https://doi.org/10.3390/s18092875

SWCTI: Surface Water Content Temperature Index for Assessment of Surface Soil Moisture Status

1
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2
School of Water Conservancy and Environment, Zhengzhou University, Zhengzhou 450001, China
These authors contributed equally to the work.
*
Author to whom correspondence should be addressed.
Received: 24 June 2018 / Revised: 23 August 2018 / Accepted: 30 August 2018 / Published: 31 August 2018
Full-Text   |   PDF [4543 KB, uploaded 31 August 2018]   |  

Abstract

The vegetation supply water index (VSWI = NDVI/LST) is an effective metric estimating soil moisture in areas with moderate to dense vegetation cover. However, the normalized difference vegetation index (NDVI) exhibits a long water stress lag and the land surface temperature (LST), sensitive to water stress, does not contribute considerably to surface soil moisture monitoring due to the constraints of the mathematical characteristics of VSWI: LST influences VSWI less when LST value is sufficiently high. This paper mathematically analyzes the characteristics of VSWI and proposes a new operational dryness index (surface water content temperature index, SWCTI) for the assessment of surface soil moisture status. SWCTI uses the surface water content index (SWCI), which provides a more accurate estimation of surface soil moisture than that of NDVI, as the numerator and the modified surface temperature, which has a greater influence on SWCTI than that of LST, as the denominator. The validation work includes comparison of SWCTI with in situ soil moisture and other remote sensing indices. The results show SWCTI demonstrates the highest correlation with in situ soil moisture; the highest correlation R = 0.801 is found between SWCTI and the 0–5 cm soil moisture in a sandy loam. SWCTI is a functional and effective method that has a great potential in surface soil moisture monitoring. View Full-Text
Keywords: Moderate Resolution Imaging Spectroradiometer (MODIS); SWCTI; SWCI; VSWI Moderate Resolution Imaging Spectroradiometer (MODIS); SWCTI; SWCI; VSWI
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Hong, Z.; Zhang, W.; Yu, C.; Zhang, D.; Li, L.; Meng, L. SWCTI: Surface Water Content Temperature Index for Assessment of Surface Soil Moisture Status. Sensors 2018, 18, 2875.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top