Land use/land cover and land surface temperature analysis in Wayanad district, India, using satellite imagery

Abstract

This paper assesses Land Use/Land Cover (LULC) classification and Land Surface Temperature (LST) in Wayanad district during the years 2004 and 2018. The LULC classification of Wayanad district is identified using IRS P6 (Linear Imaging Self Scanner) LISS-III, and LST using thermal band of (Enhanced Thematic Mapper Plus) ETM+ imageries. Maximum likelihood classification (MLC) technique is opted to categorize six land-use features: water body, paddy field, forest, dense, agricultural crops and built-up. From 2004 to 2018, impacts of changes in features are correlated with the raised LST. Overall vegetation cover shows an increasing pattern during the study period. The water bodies in Wayanad district improved from 4.30 to 32.68 sq.km due to construction of two dams: Banasurasagar and Karappuzha. However, agricultural crops and paddy field area have decreased by 4.7% in last 14 years. Decreasing rate of agricultural crops can be directly linked to population growth, thereby developing various built-up zones for basic needs. Forest and dense vegetated cover area are increased nearly 2.3 and 3.0%, respectively, during the study period, while bamboo degradation has also been witnessed from 2008 to 2013. The built-up class shows growth from 1.48 to 5.69% of total land area during 2004 and 2018. LULC have noticeable influences on LST with a negative correlation between vegetation cover and LST with a decrease of 1.75 o C. The study findings can help the local authorities to implement urban planning regulations for public awareness and policy makers for a sustainable planning and management in forthcoming years.

Impact of Land Cover Changes on Land Surface Temperature and Human Thermal Comfort in Dhaka City of Bangladesh

“…The crucial problem is that impermeable built-up surfaces store solar heat during the day and re-radiate from afternoon until late night, and as a result, land surface temperatures (LST) rises considerably (Argueso et al 2013;Imran et al 2018Imran et al , 2019aJacobs et al 2018). LST represents the land radiative skin temperature which is derived from solar radiation (John et al 2020). Urbanization and industrialization accelerate the use of different types of construction materials for constructing various infrastructures.…”

Spatiotemporal Influence of Land Use/Land Cover Change Dynamics on Surface Urban Heat Island: A Case Study of Abuja Metropolis, Nigeria

“…Studies on changes in LULC and surface UHIs help mitigate the adverse effects of climate change by analyzing the implications of various human activities and providing adaptive strategies aimed at sustainable management of land-use. [33], hence, helping significantly improvements in the liveability of cities.…”

The Impact of Seasonality and Land Cover on the Consistency of Relationship between Air Temperature and LST Derived from Landsat 7 and MODIS at a Local Scale: A Case Study in Southern Ontario

“…The impact of land cover on land surface temperature has been widely recognized [12,[37][38][39][40]. Different land cover types have different degrees of absorption of solar radiation, evaporation rate, heat storage, etc., and thus impact LST.…”