Spatial-temporal changes of land surface temperature and land cover over Babylon Governorate, Iraq
نویسندگان
چکیده
منابع مشابه
Impact of urban land cover change on land surface temperature
The rapid growth in urban population is seen to create a need for the development of more urban infrastructures. In order to meet this need, natural surfaces such as vegetation are been replaced with non-vegetated surfaces such as asphalt and bricks which has the ability to absorb heat and release it later. This change in land cover is seen to increase the land surface temperature. Previous stu...
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We study the regional variation of temperature trends (warming or cooling) over Western India and the contribution of land-use and land-cover (LULC) changes towards this warming or cooling based on temperature datasets of 37 years (1973–2009). The contribution of LULC to the warming or cooling is estimated based on deviation in temperature in the observation and reanalysis datasets. The observe...
متن کاملSimulating Land Cover Changes and Their Impacts on Land Surface Temperature in Dhaka, Bangladesh
Despite research that has been conducted elsewhere, little is known, to-date, about land cover dynamics and their impacts on land surface temperature (LST) in fast growing mega cities of developing countries. Landsat satellite images of 1989, 1999, and 2009 of Dhaka Metropolitan (DMP) area were used for analysis. This study first identified patterns of land cover changes between the periods and...
متن کاملSpatial and Temporal Patterns of Land Cover Change
The goal of this work is to monitor urban growth and the drivers of urban expansion in Chengdu, China. Between 1978 and 2002, the municipal population increased from 8 to 10.2 million and GDP grew seven-fold, changes which have had profound impacts on land cover. To address these issues, this research involves two tasks. First, we monitor land cover change using a supervised, multi-date decisio...
متن کاملTemporal and spatial approaches for land cover classification
This paper describes solution for Time Series Land Cover Classification Challenge (TiSeLaC). Using features extracted from satellite images time series (SITS) each pixel corresponding to 30m⇥30m area can be classified to one of general class (urban area, forest, water, etc.). The following approaches implemented and evaluated: classical data mining multiclass prediction, local context embedding...
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ژورنال
عنوان ژورنال: Materials Today: Proceedings
سال: 2021
ISSN: 2214-7853
DOI: 10.1016/j.matpr.2021.05.179