Remote Sensing Based Vegetation Indices Analysis to Improve Water Resources Management in Urban Environment

Abstract

Normalized Difference Vegetation Index (NDVI) is estimated from Landsat 8 sensor acquired in December 2014 to drive the different water-related indices like as NDVI and its derivatives. Different vegetation indices (VIs) have been extracted exclusively. The temperature-vegetation index (TVX) space was constructed to investigate the influence of land changes over LST. In this paper, the effect of urban heat island is analyzed using the Landsat TM data in 2009 as a case study in Gulbarga City. The standard algorithms were applied to retrieve the land surface temperature (LST). The spatial pattern of LST in the study area is retrieved to characterize their local effects on urban heat island. In addition, the correlation between LST and the normalized difference vegetation index (NDVI), the normalized difference build-up index (NDBI) is analyzed to explore the impacts of the green land and the build-up land on the urban heat island. The changes of Land surface temperature were related to many factors, including changes in land use, land surface parameters, seasonal variation, climatic condition and economic development, etc. The result showed that the land use change was an important driver for LST increase in the TVX space migrated from the dense-vegetation low temperature condition to the sparse vegetation-high temperature condition. The results showed that the interconnections between different VIs vary. Findings from the current work conducted are anticipated to contribute decisively toward an inclusive VIs assessment of its overall verification. It can be utilized for a multitude of water management applications since it is a valuable indicator of the surface moisture and evapotranspiration: the assessment of agricultural and urban water consumption; the negotiation and monitoring of water and alternative water management practices.