ESTIMATION OF LAND SURFACE TEMPERATURE-VEGETATION ABUNDANCE RELATIONSHIP USING LANDSAT TM 5 DATA

Abstract

 Land surface temperature (LST) is an important factor for range of issue such as global climate change, desertification, deforestation, land cover assessment, energy balance estimations ,environmental studies and change in agricultural pattern .Vegetation abundance is one of the most influential factors in controlling LST measures through partitioning of solar radiation into fluxes of sensible and latent heat and by limiting the proportions of vegetation and ground .In the study, an attempt has been made to estimate surface temperature using Landsat TM satellite data. Thermal emissivity was estimated using Vegetation Cover Method (VCM) which is a important factor for surface temperature estimation. Relationship between land surface temperature and different land cover were analyzed. Strong correlation was observed between surface temperature and vegetation abundance over different land cover in study area. Relation between land surface temperature and vegetation abundance has also been estimated and indicating that surface temperatures can be predicted if NDVI or vegetation farction values are known. The results suggest that land surface emissivity estimation from VCM and land surface temperature using Landsat Tm 5 data can be used in vegetation condition assessment.

Authors and Affiliations

S. K. Singh, Sujay Dutta, Nishith Dharaiya

Keywords

Related Articles

 Partially Ordered Metric Space using Fixed Point Theorems

 [b]Fixed point theory is an accurate topic of nonlinear analysis. Also, it is well known that the contraction mapping principle. From last four decades, this theorem has undergone various generalizations either by...

 Distributed Shared Virtual File System Explained using IVY System

 The shared virtual memory provides a virtual address space that is shared among all processors in a loosely coupled distributed-memory multiprocessor system. Application programs can us they do a traditional virt...

 A STUDY ON NETWORK SECURITY TECHNIQUES

 Internet plays a vital role in our day today life. Data security in web application has become very crucial. The usage of internet becomes more and more in recent years. Through internet the information’s can be s...

A Dynamic and Efficient Resource Management by using Heuristics Algorithm

Dynamic resource management for a large-scale cloud environment is problematic one. We propose a gossip protocol that ensures fair resource allocation among sites/applications, dynamically adapts the allocation to load...

 Non Linear Adaptive Filter for Interference Suppression

 Radio Frequency (RF) interference is inherent in all wireless systems and is one of the most significant design parameters of cellular and other mobile systems. In this paper, it is shown that how a non-linear ada...

Download PDF file
  • EP ID EP158302
  • DOI -
  • Views 83
  • Downloads 0

How To Cite

S. K. Singh, Sujay Dutta, Nishith Dharaiya (2015).  ESTIMATION OF LAND SURFACE TEMPERATURE-VEGETATION ABUNDANCE RELATIONSHIP USING LANDSAT TM 5 DATA. International Journal of Engineering Sciences & Research Technology, 4(1), 270-275. https://europub.co.uk/articles/-A-158302