Estimating the seasonal relationship between land surface temperature and normalized difference bareness index using Landsat data series
نویسندگان
چکیده
The present study analyzes the seasonal variability of relationship between land surface temperature (LST) and normalized difference bareness index (NDBaI) on different use/land cover (LULC) in Raipur City, India by using sixty-five Landsat images four seasons (pre-monsoon, monsoon, post-monsoon, winter) 1991-1992, 1995-1996, 1999-2000, 2004-2005, 2009-2010, 2014-2015, 2018-2019. mono-window algorithm was used to retrieve LST Pearson's correlation coefficient generate LST-NDBaI relationship. post-monsoon season builds best (0.59) among seasons. water bodies a moderate strong positive (>0.50) all On green vegetation, this is (>0.54) three seasons, except pre-monsoon season. built-up area bare (>0.34) Among for LULC types, whereas has least correlation. This research work useful environmental planning other citieswith similar climatic conditions.
منابع مشابه
Estimating Land Surface Temperature in the Central Part of Isfahan Province Based on Landsat-8 Data Using Split- Window Algorithm
Land surface temperature (LST) is used as one of the key sources to study land surface processes such as evapotranspiration, development of indexes, air temperature modeling and climate change. Remote sensing data offer the possibility of estimating LST all over the world with high temporal and spatial resolution. Landsat-8, which has two thermal infrared channels, provides an opportunity for t...
متن کاملDrought Determination by Using Land Surface Temperature and Normalized Difference Vegetation Index
Today, many places of different locations on Earth especially semi-arid areas face the risk of desertification due to severe drought. However, the very basic data required for the analysis is unavailable for the regions without a meteorological station. In this case, land surface temperature (LST) is derived from a thermal band as an alternative meteorological station’s data. In this research, ...
متن کاملLand Surface Temperature Retrieval from LANDSAT data using Emissivity Estimation
Land surface temperature (LST) is an essential factor in many areas like global climate change studies, urban land use/land cover, geo-/biophysical and also a key input for climate models. LANDSAT 8, the latest satellite from LANDSAT series, has given lot of possibilities to study the land processes using remote sensing. In this study an attempt has been made to estimate LST over Chittoor distr...
متن کاملModeling of vegetation index and land surface temperature to identify and compare the changing trends, using generalized estimating equations
Normalized difference vegetation index and land surface temperature data, in a sample plot each from east, center and west of Nepal, from 2000 to 2015, were analyzed to identify and compare the trends of vegetation and temperature changes during the period. The data were obtained from moderate resolutions imaging spectro-radiometer. Normalized difference vegetation index charactiszes a resoluti...
متن کاملAnalysis of the Relationship between Land Surface Temperature and Wildfire Severity in a Series of Landsat Images
The paper assesses spatio-temporal patterns of land surface temperature (LST) and fire severity in the Las Hurdes wildfire of Pinus pinaster forest, which occurred in July 2009, in Extremadura (Spain), from a time series of fifteen Landsat 5 TM images corresponding to 27 post-fire months. The differenced Normalized Burn Ratio (dNBR) was used to evaluate burn severity. The mono-window algorithm ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International journal of engineering and geosciences
سال: 2022
ISSN: ['2548-0960']
DOI: https://doi.org/10.26833/ijeg.833260