Publications

Shrivas, I., Guha, S., Tiwari, R. K., Prajapati, M., & Taral, A. L. (2025). Glacier area variation in Uttarakhand Himalaya: Investigating trends and influencing factors. Earth Surface Processes and Landforms, 50(1), e6072. https://doi.org/10.1002/ESP.6072

Gaikwad, D., Tiwari, R. K., Kumar, M., & Guha, S. (2025). Hazard, and risk modelling of glacial lakes in the Sikkim Himalaya: Integrating qualitative and quantitative approaches for hazard assessment. Geomorphology, 471, 109577. https://doi.org/10.1016/j.geomorph.2025.109577

Kaur, R., Maini, R., & Tiwari, R. K. (2025). Development of soil moisture maps using image fusion of SCATSAT-1 and MODIS Dataset. Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming, 169–180. https://doi.org/10.1016/B978-0-443-24139-0.00014-X

Endeavours of Scatterometer Satellite (SCATSAT-1) in earth exploration: An overview of products, applications and emerging trends

A Multifaceted Look at Garhwal Himalayan Glaciers: Quantifying Area Change, Retreat, and Mass Balance, and Its Controlling Parameters

Estimation and Validation of Snowmelt Runoff Using Degree Day Method in Northwestern Himalayas

Quantitative analysis of hydropower potential in the upper Beas basin using geographical information system and MIKE 11 Nedbor Afrstromnings Model (NAM)

Relationship between the variations in glacier features classified on a large scale with climate variables: a case study of Gangotri Glacier

Hazard, and risk modelling of glacial lakes in the Sikkim Himalaya: Integrating qualitative and quantitative approaches for hazard assessment

Comparative Assessment of Process Based Models for Simulating the Hydrological Response of the Himalayan River Basin

Determining the impact of anthropogenic activities and climate change on landslide susceptibility for the Himalayan region

Divergent temporal glacier responses in the Chandra-Bhaga and Suru-Zanskar Basins of the Indian Western Himalaya

Detection of Soil Moisture Variations with Fusion-Based Change Detection Algorithm for MODIS and SCATSAT-1 Datasets

Hybrid FR-AHP approach for GLOF hazard assessment in the Himalayan region

In this study, both dynamic and static factors were utilized in predicting future landslide susceptibility maps for the year 2050.

this study presents a scientific method to identify the most significant landslide-causing parameters for an enhanced LSM analysis.

This study utilizes Persistent Scatterer SAR interferometry (PSInSAR) technique to map the surface displacement of the 2021 flood scenario and make predictions for future displacement using a Deep Learning Neural Network (DLNN) model.

This research highlights the potential of utilizing satellite data and statistical modeling to address the challenges of monitoring snow cover in remote and inaccessible regions.

In the present work, a machine learning-based framework is proposed to generate the enhanced resolution soil moisture products, i.e., classified maps and change maps, using an optical-based moderate resolution imaging spectroradiometer (MODIS) and microwave-based scatterometer satellite (SCATSAT-1) datasets.

In the current study, the reason for heterogeneous mass balance has been explained in quantitative methods using a multiple linear regression model in the Sikkim Himalayan region.

A geo-spatial model and principal component analysis (PCA) approach are used in this study to prioritize sub-watersheds of the upper Beas river up to Pandoh dam.

In the present work, the scatterometer satellite (SCATSAT-1) has been implemented and validated to provide the near-real-time estimation of snow cover area (SCA) in the Western Himalayas, India.

This study aims to estimate the O3 concentration during the Covid-19 lockdown over Pune city in India using freely available Sentinel-5P satellite datasets.

We reviewed 367 articles from 1972 to 2021, out of which 236 articles were reviewed in detail to prepare a literature database.

This study utilises time-series, C-band remotely sensed SAR data from Sentinel-1 A satellite for SOC estimation and compared the performances of Random Forest (RF) and Ordinary Least Squares (OLS) Regression models over agricultural areas of Rupnagar district of Punjab in India.

In this study, the deep learning classifier based on ENVINet5 (U-Net) architecture is demonstrated in the delineation of glacier boundaries along with snow/ice over the Bara Shigri glacier (Western Himalayas), Himachal Pradesh, India.

The present study aims to identify temporal changes in glacier response using area changes, retreat, and surface elevation changes.

The main objective of this study is to predict the future LS map considering the future LULC change scenario for the Tehri region, India.

The paper presents the comprehensive review of the scatterometer, as an active microwave radar sensor

This study utilizes Sentinel 1 A, C-band SAR remote sensing data with VV and VH polarization channels for surface soil moisture estimation for alluvial soil and its sub-types in Rupnagar of Punjab state in India.

This paper presents the spectral and spatial capabilities of OBIA to classify multiple glacier cover classes using a multisource approach by integrating multispectral, thermal, and slope information into one workflow.

This study aims to utilize remotely sensed Microwave satellite data from Sentinel-1 and optical data from Sentinel-2, and field data to estimate three important soil health parameters- Soil Moisture, Soil Salinity, and Soil Organic Carbon (SOC). The study has been carried out in the Rupnagar district of Punjab in India. The estimated soil health parameters, SAR backscatter, and optical remote sensing satellite data parameters were utilized to estimate wheat crop yield.

To assess the spatial distribution of permafrost in the Alaknanda Valley of the Chamoli district of Uttarakhand state, 198 rock glaciers were mapped (183 active and 15 relict) using high-resolution satellite data available in the Google Earth database.

This study utilizes Sentinel 1 A, C-band SAR remote sensing data with VV and VH polarization channels for surface soil moisture estimation for alluvial soil and its sub-types in Rupnagar of Punjab state in India.

This study aims to correlate the PSInSAR average surface line of sight (LOS) displacement from Sentinel-1, with the average groundwater fluctuations from the GRACE sensor temporally from May 2017 to February 2022.

Our results indicate that attribution of ice mass to large-scale dynamics is likely to be modulated by local vegetation changes. This study contributes to the understanding of long-term hydroclimate—ice mass variability in the central Himalaya, where predictions are crucial for managing water resources and ecosystems.

This study utilises time-series, C-band remotely sensed SAR data from Sentinel-1 A satellite for SOC estimation and compared the performances of Random Forest (RF) and Ordinary Least Squares (OLS) Regression models over agricultural areas of Rupnagar district of Punjab in India.

This study has been conducted over the Western Himalayas to estimate the snow cover changes under cloudy conditions with two datasets, i.e., winter and monsoon.

The present study evaluates the potential of Ku-band Scatterometer Satellite-1 (SCATSAT-1) for quantification of spatiotemporal variability in snow cover area (SCA) over Himalayas (Himachal Pradesh) India.

This study aimed to estimate subsurface soil salinity (at 60 cm depth) for the early stage of wheat crop growth in a simplified manner using freely available satellite data, which is a novel feature and prime objective in this study.

This study uses space-borne SAR data in C-band with VV (vertically emitted and vertically received) and VH (vertically emitted and horizontally received) polarization channels from Sentinel-1A satellite for SAR interferometry-based flood mapping and runoff modeling for Rupnagar (Punjab) floods of 2019.

In this study, utilizing results of about three centuries of cellulose isotope chronologies (δ13C and δ18O) of dominant tree species, geo-chronological proxies, bio-geophysical dataset and simulations including satellite observations, we show an activation in the ecophysiological processes including evapotranspiration (ET) since the 1950s.

In the present work, the microwave-based SCATSAT-1 and optical-based MODIS (moderate resolution imaging spectroradiometer) have been fused using the nearest-neighbour approach to examine its effects in cloud removal and its applications in classification.

This paper aims to address the current status of SCATSAT-1 applications in different scientific domains such as oceanographic, cryospheric, agriculture and land hydrology.

This paper reviews articles published in the English language and using geospatial data in analysing the state of urban sprawl in India.

In the present study, a supervised classification applied to a time-series data of Landsat collected over time (1990, 2001, and 2015) gave an insight into the urban sprawl patterns in the Chandigarh capital region.

In this study, we used a novel approach, known as object-based image analysis (OBIA), for the mapping of SGLs. A new index has also been proposed for classification of SGLs. As a case study, the SGLs of Gangotri glacier (Uttarakhand Himalayas) have been mapped from the high spatial resolution data of LISS-IV using the proposed OBIA approach.

This study investigates the change in multiple glacier parameters of three valley-type glaciers (Sakchum (SC), Chhota Shigri (CS), and Bara Shigri (BS)) located in Chandra basin, Himachal Himalaya, sharing the same climatic regime, and assesses the control of nonclimatic factors on wholesome glacier response.

In this study, a typical sub-watershed of the lesser Himalaya (Tons sub-watershed: TSW) has been selected for prioritizing its micro-watershed and proposing a suitable and sustainable site for a small hydro-water plant installation.

Understanding of the flash flood through isotope approach in Kedarnath valley in June 2013