Statistical analysis of land surface temperature-vegetation indexes relationship through thermal remote sensing.
作者： Deepak Kumar , Sulochana Shekhar
DOI: 10.1016/J.ECOENV.2015.07.004
关键词:
摘要: Vegetation coverage has a significant influence on the land surface temperature (LST) distribution. In field of urban heat islands (UHIs) based remote sensing, vegetation indexes are widely used to estimate LST-vegetation relationship. This paper devises two objectives. The first analyzes correlation between parameters/indicators and LST. subsequent computes occurrence parameter, which defines distribution LST (for quantitative analysis island) in Kalaburagi (formerly Gulbarga) City. However, estimation work been done valuation relationship different addition normalized difference index (NDVI), build-up (NDBI) is attempted explore impacts green island by calculating evaluation sub-urban areas. results indicated that effect city mainly located areas or Rurban area especially South-Eastern North-Western part city. NDVI, indicates negative correlation. NDVI suggests can weaken island, while we perceived positive NDBI, infers built-up strengthen our case study. Although satellite data (e.g., Landsat TM thermal bands data) applied test islands, but method still needs be refined with situ measurements future studies.
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