Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets

Joint Authors

Guha, Subhanil
Govil, Himanshu
Diwan, Prabhat

Source

Advances in Meteorology

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-06-09

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Physics

Abstract EN

The present study monitors the interrelationship of land surface temperature (LST) with normalized difference vegetation index (NDVI) in Raipur City of India using premonsoon Landsat satellite sensor for the season of 2002, 2006, 2010, 2014, and 2018.

The results describe that the mean LST of Raipur City is gradually increased with time.

The value of mean NDVI is higher in the area below mean LST compared to the area above mean LST.

The value of mean NDVI is also higher in Landsat 8 data than Landsat 5 and Landsat 7 data.

A strong negative LST-NDVI correlation is observed throughout the period.

The correlation coefficient is higher in the area above mean LST and lower in the area below mean LST.

The value of the correlation coefficient is decreased with time.

The mixed urban landscape of the city is closely related to the changes of LST-NDVI relationship.

These results provide systematic planning of the urban environment.

American Psychological Association (APA)

Guha, Subhanil& Govil, Himanshu& Diwan, Prabhat. 2020. Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets. Advances in Meteorology،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1126872

Modern Language Association (MLA)

Guha, Subhanil…[et al.]. Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets. Advances in Meteorology No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1126872

American Medical Association (AMA)

Guha, Subhanil& Govil, Himanshu& Diwan, Prabhat. Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets. Advances in Meteorology. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1126872

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1126872