Publication Date:
2021-03-29
Description:
This study aims to evaluate quantitatively the land surface temperature (LST) derived from
MODIS (Moderate Resolution Imaging Spectroradiometer) MOD11A1 and MYD11A1 Collection 5
products for daily land air surface temperature (Ta) estimation over a mountainous region in northern
Vietnam. The main objective is to estimate maximum and minimum Ta (Ta-max and Ta-min) using
both TERRA and AQUA MODIS LST products (daytime and nighttime) and auxiliary data, solving
the discontinuity problem of ground measurements. There exist no studies about Vietnam that have
integrated both TERRA and AQUA LST of daytime and nighttime for Ta estimation (using four
MODIS LST datasets). In addition, to find out which variables are the most effective to describe
the differences between LST and Ta, we have tested several popular methods, such as: the Pearson
correlation coefficient, stepwise, Bayesian information criterion (BIC), adjusted R-squared and the
principal component analysis (PCA) of 14 variables (including: LST products (four variables), NDVI,
elevation, latitude, longitude, day length in hours, Julian day and four variables of the view zenith
angle), and then, we applied nine models for Ta-max estimation and nine models for Ta-min estimation.
The results showed that the differences between MODIS LST and ground truth temperature derived
from 15 climate stations are time and regional topography dependent. The best results for Ta-max and
Ta-min estimation were achieved when we combined both LST daytime and nighttime of TERRA and
AQUA and data from the topography analysis.
Description:
Open-Access-Publikationsfonds 2016
Keywords:
land surface temperature (LST); MODIS LST products; northern Vietnam
;
551
Language:
English
Type:
article
,
publishedVersion
