THERMAL SCIENCE

International Scientific Journal

STUDY ON SOIL MOISTURE BY THERMAL INFRARED DATA

ABSTRACT
Information on soil moisture is important for environment management. This study bases on the daily observation to study the normalized difference vegetation index and to classify the index data. The results indicate that: (1) the index is able to adequately reflect the changes of soil moisture content in 10 cm and 20 cm thickness of soil layer during the vegetation growth period and (2) Information on soil moisture can be used for regional drought monitoring. The method can be extended for long-term monitoring of droughts over large-scale regions.
KEYWORDS
PAPER SUBMITTED: 2013-01-01
PAPER REVISED: 2013-04-27
PAPER ACCEPTED: 2013-04-30
PUBLISHED ONLINE: 2013-12-28
DOI REFERENCE: https://doi.org/10.2298/TSCI1305375H
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2013, VOLUME 17, ISSUE Issue 5, PAGES [1375 - 1381]
REFERENCES
  1. Yang, X. H., et al., Chaotic Bayesian Method Based on Multiple Criteria Decision Making (MCDM) for Forecasting Nonlinear Hydrological Time Series, International Journal of Nonlinear Sciences and Numerical Simulation, 10 (2009), 11-12, pp. 1595-1610
  2. Huang, S. F., et al., Water Surface Variations Monitoring and Flood Hazard Analysis in Dongting Lake Area Using Long-term Terra/MODIS Data Time Series, Natural Hazards, 62 (2012), 1, pp. 93-100
  3. Son, N. T., et al., Monitoring Agricultural Drought in the Lower Mekong Basin Using MODIS NDVI and Land Surface Temperature Data, International Journal of Applied Earth Observation and Geoinformation, 18 (2012), pp. 417-427
  4. Chen, C. F., et al., Monitoring of Soil Moisture Variability in Relation to Rice Cropping Systems in the Vietnamese Mekong Delta Using MODIS Data, Applied Geography, 31 (2011), 2, pp. 463-475
  5. Carlson, T. N., et al., A Method to Make Use of Thermal Infrared Temperature and NDVI Measurements to Infer Surface Soil Water Content and Fractional Vegetation Cover, Remote Sensing Reviews, 9 (1994), 1-2, pp. 161-173
  6. Goetz, S. J., Multi-Sensor Analysis of NDVI, Surface Temperature and Biophysical Variables at a Mixed Grassland Site, International Journal of Remote Sensing, 18 (1997), 1, pp. 71-94
  7. Mallick, K., et al., Estimating Volumetric Surface Moisture Content for Cropped Soils Using a Soil Wetness Index Based on Surface Temperature and NDVI, Agricultural and Forest Meteorology, 149 (2009), 8, pp. 1327-1342
  8. Sandholt, I., et al., A Simple Interpretation of the Surface Temperature/Vegetation Index Space for Assessment of Surface Moisture Status, Remote Sensing of Environment, 79 (2002), 2, pp. 213-224
  9. Wan, Z., et al., Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index Products for Monitoring Drought in the Southern Great Plains, USA, International Journal of Remote Sensing, 25 (2004), 1, pp. 61-72
  10. Wang, C. Z., Mao, L. X., Application of Temperature-Vegetation Dryness Index (TVDI) in Estimation of Soil Moisture in the HHH Plain, Chinese Journal of Soil Science, 40 (2009), 5, pp. 998-1005
  11. Lambin, E. F., Ehrlich, D., The Surface Temperature-Vegetation Index Space for Land Cover and Land- Cover Change Analysis, International Journal of Remote Sensing, 17 (1996), 3, pp. 463-487.

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence