Pramod Kumar

Dr. Pramod Kumar

Hydrology & Urban Studies Group, Indian Institute of Remote Sensing, Dehra Dūn, India
orcid
Dean (Academics) & Group Director, HUSG

Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2012 in Landscape and Urban Planning
Verified
Journal Article
Closed access
KGKshama Gupta
Kshama Gupta
PKPramod Kumar
Pramod Kumar
SPS.K. Pathan
S.K. Pathan
KSK.P. Sharma
K.P. Sharma

1 December 2018 in The Egyptian Journal of Remote Sensing and Space Sciences
Verified
Journal Article
Open access
ASAsfa Siddiqui
Asfa Siddiqui
ASAlmas Siddiqui
Almas Siddiqui
SMSandeep Maithani
Sandeep Maithani
AJA.K. Jha
A.K. Jha
PKPramod Kumar
Pramod Kumar
SSS.K. Srivastav
S.K. Srivastav

29 December 2020 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Md MoniruzzamanMd Moniruzzaman
Md Moniruzzaman
PTPraveen Kumar Thakur
Praveen Kumar Thakur
PKPramod Kumar
Pramod Kumar
AAAshraful Alam
Ashraful Alam
Vaibhav GargVaibhav Garg
Vaibhav Garg
HÓHaraldur Ólafsson
Haraldur Ólafsson
Rapid urban growth processes give rise to impervious surfaces and are regarded as the primary cause of urban flooding or waterlogging in urban areas. The high rate of urbanization has caused waterlogging and urban flooding in many parts of Dhaka city. Therefore, the study is undertaken to quantify the changes in land use/land cover (LULC) and urban runoff extent based on the Natural Resources Conservation Service (NRCS) Curve Number (CN) during 1978–2018. The five-decadal LULC has been analyzed using three-generation Landsat time-series data considering six different classes, namely agriculture, built-up, wetland, open land, green spaces, and water bodies for the years 1978, 1988, 1998, 2007, and 2018. Significant changes in LULC for the study area from 1978–2018 are observed as 13.1%, 4.8%, and 7.8% reduction in agricultural land, green spaces, and water bodies, respectively, and a 22.1% increase in the built-up area is estimated. Within Dhaka city, 14.6%, 16.0%, and 12.3% reduction in agricultural land, green spaces, and water bodies, respectively, and a radical increase of 41.9% in built-up area are reckoned. The decadal runoff assessment has been carried out using the NRCS-CN method, considering an extreme rainfall event of 341 mm/day (13 September 2004). The catchment area under very high runoff category is observed as 159.5 km2 (1978) and 318.3 km2 (2018), whereas, for Dhaka city, the setting is dynamic as the area under the very high runoff category has increased from 74.24 km2 (24.44%) to 174.23 km2 (57.36%) in years 1978 and 2018, respectively, and, mostly, the very high runoff potential areas correspond to the dense built-up surfaces.

22 July 2020 in Journal of the Indian Society of Remote Sensing
Verified
Journal Article
Closed access
PDF file
ASAsfa Siddiqui
Asfa Siddiqui
SHSuvankar Halder
Suvankar Halder
PCPrakash Chauhan
Prakash Chauhan
PKPramod Kumar
Pramod Kumar

1 December 1991 in Journal of the Indian Society of Remote Sensing
Verified
Journal Article
Closed access
PDF file
PKPramod Kumar
Pramod Kumar
KTK N Tiwart
K N Tiwart
DPD K Pal
D K Pal

1 January 2013 in European Journal of Remote Sensing
Verified
Journal Article
Open access
DGD. Giribabu
D. Giribabu
PKPramod Kumar
Pramod Kumar
JMJohn Mathew
John Mathew
KSK.P. Sharma
K.P. Sharma
YMY.V.N. Krishna Murthy
Y.V.N. Krishna Murthy