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Rohit Mangla
Rohit Mangla
Research scientist at CRISP, NUS, Singapore
Verified email at nus.edu.sg
Title
Cited by
Cited by
Year
Inter-comparison of multi-satellites and Aeronet AOD over Indian Region
R Mangla, J Indu, SS Chakra
Atmospheric Research 240, 104950, 2020
342020
Random forest regression modelling for forest aboveground biomass estimation using RISAT-1 PolSAR and terrestrial LiDAR data
R Mangla, S Kumar, S Nandy
Lidar Remote Sensing for Environmental Monitoring XV 9879, 109-119, 2016
152016
Remote sensing data assimilation
AS Nair, R Mangla, T P, J Indu
Hydrological Sciences Journal 67 (16), 2457-2489, 2022
102022
Performance evaluation of Google Earth Engine based precipitation datasets under different climatic zones over India
S Jain, V Tiwari, A Thapa, R Mangla, RK Jaiswal, V Kumar, S Tiwari, ...
Remote Sensing in Earth Systems Sciences 5 (4), 263-276, 2022
52022
Dem construction using DInSAR
R Mangla, S Kumar
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014
52014
Evaluation of convective storms using spaceborne radars over the Indo‐Gangetic Plains and western coast of India
R Mangla, J Indu, V Lakshmi
Meteorological Applications 27 (3), e1917, 2020
32020
First steps towards an all-sky assimilation framework for tropical cyclone event over Bay of Bengal region: Evaluation and assessment of GMI radiances
R Mangla, J Indu, P Chambon, JF Mahfouf
Atmospheric Research 257, 105564, 2021
22021
Evaluation of all-sky GPM/GMI radiances for vardah cyclone event in regional data assimilation system
R Mangla, J Indu
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
12019
Evaluation of microwave radiances of GPM/GMI for the all-sky assimilation in RTTOV framework
R Mangla, J Indu
Workshop on Sensitivity Analysis and Data Assimilation in Meteorology and …, 2018
12018
Evaluation of microwave radiances of GPM/GMI for the all-sky assimilation in WRF-RTTOV framework: a case study over Indian region
R Mangla, J Indu
EGU 2018, Vienna, Austria, 2018
1*2018
Terrestrial water budget through radar remote sensing
J Indu, AS Nair, A Pradhan, R Mangla, S Krishnan, K Verma, ...
Radar Remote Sensing, 123-148, 2022
2022
Evaluation of Convective Storms and their Vertical Distributions over Indian Region Using GPM Precipitation Features Database
R Mangla, J Indu, VV Lakshmi
2016 AGU Fall Meeting, 2016
2016
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Articles 1–12