Assessment of urban growth effects on green space and surface temperature in Doon Valley, Uttarakhand, India.
Change detection
Land surface temperature (LST)
Land use/land cover
Normalized difference vegetation index (NDVI)
RS&GIS
Shannon entropy
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
31 Mar 2020
31 Mar 2020
Historique:
received:
09
09
2019
accepted:
24
02
2020
entrez:
3
4
2020
pubmed:
3
4
2020
medline:
5
6
2020
Statut:
epublish
Résumé
This study aims to examine the spatio-temporal urban expansion pattern and its impacts on green space variation as well as thermal behavior in Doon valley over the last two decades during 2000 and 2019. Landsat 5 and Landsat 8 images of February and May month of two study years 2000 and 2019 were used for the analysis. The land use change analysis revealed notable outgrowth of urbanization with 184% increase in Doon valley during 2000-2019. To examine the effects of locational factors on urban growth, relative Shannon entropy analysis was carried out based on two factors, i.e., distances from city center and roads. It was seen that all the roads and city center have witnessed consistent and higher urban spread in its surroundings with high relative entropy value more than 0.9. Further analysis shows that there was considerable loss of agriculture crop lands and fallow lands along the major roads and around city center. Forest area was mostly affected along the road towards Mussorie hill station (road 2) because of its hilly surroundings whereas in Subhash Nagar area (road 4), fallow land and cultivated land were mainly replaced by the development activities. Analysis was also carried out to assess the spatial-temporal distribution of land surface temperature (LST) and its changing dynamics with land covers. It revealed that LST has increased in all the land use types with overall increase of 1.86 °C and 8.62 °C in the months February and May, respectively, during the study period. It is also found that normalized difference vegetation index (NDVI) and LST are negatively correlated with R
Identifiants
pubmed: 32236771
doi: 10.1007/s10661-020-8184-7
pii: 10.1007/s10661-020-8184-7
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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