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
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

257

Références

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pubmed: 23781152
Nat Commun. 2015 Mar 31;6:6603
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Auteurs

Chayna Jana (C)

ICAR-Central Inland Fisheries Research Institute, Manirampur, Barrackpre, Kolkata, West Bengal, 700120, India. chayna_4503@yahoo.co.in.

Debashis Mandal (D)

ICAR-Indian Institute of Soil and Water Conservation, 218, Kaulagarh Road, Dehradun, Uttarakhand, 248195, India.

Shashi Sekhar Shrimali (SS)

ICAR-Indian Institute of Soil and Water Conservation, 218, Kaulagarh Road, Dehradun, Uttarakhand, 248195, India.

Nurnabi Meherul Alam (NM)

ICAR-Central Research Institute for Jute and Allied Fibers, Nilganj, Barrackpre, Kolkata, West Bengal, 700120, India.

Raj Kumar (R)

ICAR-Central Soil Salinity Research Institute, Kachhwa Road, Karnal, Haryana, 132001, India.

Dipak Ranjan Sena (DR)

ICAR-Indian Institute of Soil and Water Conservation, 218, Kaulagarh Road, Dehradun, Uttarakhand, 248195, India.

Rajesh Kaushal (R)

ICAR-Indian Institute of Soil and Water Conservation, 218, Kaulagarh Road, Dehradun, Uttarakhand, 248195, India.

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