Next Article in Journal
Attribute Value Weighted Average of One-Dependence Estimators
Next Article in Special Issue
Randomness Representation of Turbulence in Canopy Flows Using Kolmogorov Complexity Measures
Previous Article in Journal
Sum Capacity for Single-Cell Multi-User Systems with M-Ary Inputs
Previous Article in Special Issue
Spatio-Temporal Variability of Soil Water Content under Different Crop Covers in Irrigation Districts of Northwest China
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Entropy 2017, 19(9), 502; https://doi.org/10.3390/e19090502

Modeling NDVI Using Joint Entropy Method Considering Hydro-Meteorological Driving Factors in the Middle Reaches of Hei River Basin

1
College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China
2
Department of Biological & Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, 2117 TAMU, College Station, TX 77843, USA
3
Department of Water Resources Management and Agricultural-Meteorology, Federal University of Agriculture, PMB 2240, Abeokuta 110282, Nigeria
*
Author to whom correspondence should be addressed.
Received: 4 August 2017 / Revised: 8 September 2017 / Accepted: 13 September 2017 / Published: 15 September 2017
(This article belongs to the Special Issue Entropy Applications in Environmental and Water Engineering)
Full-Text   |   PDF [4562 KB, uploaded 18 September 2017]   |  

Abstract

Terrestrial vegetation dynamics are closely influenced by both hydrological process and climate change. This study investigated the relationships between vegetation pattern and hydro-meteorological elements. The joint entropy method was employed to evaluate the dependence between the normalized difference vegetation index (NDVI) and coupled variables in the middle reaches of the Hei River basin. Based on the spatial distribution of mutual information, the whole study area was divided into five sub-regions. In each sub-region, nested statistical models were applied to model the NDVI on the grid and regional scales, respectively. Results showed that the annual average NDVI increased at a rate of 0.005/a over the past 11 years. In the desert regions, the NDVI increased significantly with an increase in precipitation and temperature, and a high accuracy of retrieving NDVI model was obtained by coupling precipitation and temperature, especially in sub-region I. In the oasis regions, groundwater was also an important factor driving vegetation growth, and the rise of the groundwater level contributed to the growth of vegetation. However, the relationship was weaker in artificial oasis regions (sub-region III and sub-region V) due to the influence of human activities such as irrigation. The overall correlation coefficient between the observed NDVI and modeled NDVI was observed to be 0.97. The outcomes of this study are suitable for ecosystem monitoring, especially in the realm of climate change. Further studies are necessary and should consider more factors, such as runoff and irrigation. View Full-Text
Keywords: joint entropy; NDVI; temperature; precipitation; groundwater depth; Hei River basin joint entropy; NDVI; temperature; precipitation; groundwater depth; Hei River basin
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

Zhang, G.; Su, X.; Singh, V.P.; Ayantobo, O.O. Modeling NDVI Using Joint Entropy Method Considering Hydro-Meteorological Driving Factors in the Middle Reaches of Hei River Basin. Entropy 2017, 19, 502.

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]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top