A. Inamdar

Shailesh S. Deshpande, Arun Inamdar, A. Inamdar, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Overview of Hyperspectral Remote Sensing of Impervious Surfaces in Urban Environment

Harrick Vin, Shailesh S. Deshpande, Arun Inamdar, 2013, GRMSE.

Effect of inclusion of new variables in inversion of semi – analytical model for synthetic hyperspectral data of shallow waters

Kolluru Srinivas, Shirishkumar S. Gedam, A. B. Inamdar, 2018, 2018 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Indicator Based Ecological Health Analysis Using Chlorophyll and Sea Surface Temperature Along with Fish Catch Data off Mumbai Coast

A. Inamdar, M. Bhattacharya, S. Azmi, 2015 .

Long-time-scale investigation of phytoplankton communities based on their size in the Arabian Sea

S. Gedam, A. Inamdar, R. Shunmugapandi, 2020 .

STUDY ON CYCLONE INDUCED PHYTOPLANKTON BLOOM IN THE ARABIAN SEA THROUGH GAP-FREE RECONSTRUCTED CHLOROPHYLL-A DATA

S. Gedam, A. Inamdar, A. Inamdar, 2020 .

Spatial planning of coastal urban areas in India: Current practice versus quantitative approach

A. Inamdar, P. Kalbar, R. Dhiman, 2019 .

A neural network approach for deriving absorption coefficients of ocean water constituents from total light absorption and particulate absorption coefficients

Srinivas Kolluru, Arun Inamdar, S. S. Gedam, 2021, Comput. Geosci..

Haze correction of hyperspectral imagery over inland waters

S. Gedam, Srinivas Kolluru, A. Inamdar, 2021, Geocarto International.

Monitoring and trend mapping of sea surface temperature (SST) from MODIS data: a case study of Mumbai coast

A. Inamdar, M. Bhattacharya, S. Azmi, 2015, Environmental Monitoring and Assessment.

Performance evaluation of non-water absorption coefficient partitioning algorithms in optically complex coastal waters of Kochi and Goa, India

S. Gedam, Srinivas Kolluru, A. Inamdar, 2021 .

Integrated geospatial approach for environment-sensitive planning of coastal urban regions: A case study from the megacity of Mumbai, India

A. Inamdar, P. Kalbar, R. Dhiman, 2022, Ocean & Coastal Management.

IDENTIFICATION OF FLOODED AREAS DUE TO SEVERE STORM USING ENVISAT ASAR DATA AND NEURAL NETWORKS

A. Patwardhan, A. Inamdar, A. Abhyankar, 2019, Journal of Civil Engineering, Science and Technology.

Multi-temporal Land Use Land Cover (LULC) change analysis of a dry semi-arid river basin in western India following a robust multi-sensor satellite image calibration strategy

Arun B. Inamdar, Anjan Roy, A. Inamdar, 2019, Heliyon.

Spectral Overlap Correction Using Weighted Deconvolution for Improved Dark Object Technique for Correction of EO1-Hyperion Data

A. Inamdar, S. Deshpande, K. Buddhiraju, 2017, Journal of the Indian Society of Remote Sensing.

Framework for Analysing Coastal Vulnerability due to Sea Level Rise and Coastal Floods using R

Arun B. Inamdar, Yogesh Agarwadkar, Mugdha Apte, 2013 .

A multivariate statistical approach for the evaluation of spatial and temporal dynamics of surface water quality from the small reservoir located in the drought-prone area of South-West India: a case study of Tiru reservoir (India)

A. K. Mishra, B. Nayak, A. Inamdar, 2021, Environmental Science and Pollution Research.

Spectral Library and Discrimination Analysis of Indian Urban Materials

Harrick Vin, Shailesh Deshpande, Arun B. Inamdar, 2019, Journal of the Indian Society of Remote Sensing.

Empirical algorithm to estimate the average cosine of underwater light field at 490 nm

E. Desa, S. Matondkar, A. Lotliker, 2012 .

Temporal variation of Urban Heat Island using landsat data: a case study of Ahmedabad, India

A. Inamdar, V. Vaibhav, Divya Bajaj, 2012 .

Classification of Urban Materials Using Artificial Color Features for Hyperspectral Data

P. Balamuralidhar, Shailesh Deshpande, Arun Inamdar, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.