Unlocking the potential of remote sensing in wind erosion studies: a review and outlook for future directions

L Lackoóvá, J Lieskovský, F Nikseresht, A Halabuk… - Remote Sensing, 2023 - mdpi.com
Remote sensing (RS) has revolutionized field data collection processes and provided timely
and spatially consistent acquisition of data on the terrestrial landscape properties. This …

The Legacy of Scatterometers: Review of applications and perspective

S Singh, RK Tiwari, V Sood, R Kaur… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
A scatterometer, as an active microwave radar sensor, measures the return of radar waves
in the form of a backscatter coefficient after reflection or scattering from Earth's surface. The …

[HTML][HTML] Monitoring and mapping of snow cover variability using topographically derived NDSI model over north Indian Himalayas during the period 2008–19

V Sood, S Singh, AK Taloor, S Prashar… - Applied Computing and …, 2020 - Elsevier
The Himalayas is an essential component of the cryosphere due to the large extent of snow
or ice cover. The mapping and monitoring of snow cover variability over the Himalayas is the …

A framework for crop yield estimation and change detection using image fusion of microwave and optical satellite dataset

R Kaur, RK Tiwari, R Maini, S Singh - Quaternary, 2023 - mdpi.com
Crop yield prediction is one of the crucial components of agriculture that plays an important
role in the decision-making process for sustainable agriculture. Remote sensing provides …

Deep learning in the mapping of agricultural land use using Sentinel-2 satellite data

G Singh, S Singh, G Sethi, V Sood - Geographies, 2022 - mdpi.com
Continuous observation and management of agriculture are essential to estimate crop yield
and crop failure. Remote sensing is cost-effective, as well as being an efficient solution to …

Detection and validation of spatiotemporal snow cover variability in the Himalayas using Ku-band (13.5 GHz) SCATSAT-1 data

S Singh, RK Tiwari, V Sood… - International Journal of …, 2021 - Taylor & Francis
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 …

Image fusion of Ku-band-based SCATSAT-1 and MODIS Data for cloud-free change detection over Western Himalayas

S Singh, RK Tiwari, V Sood, HS Gusain… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Image-based fusion is a state-of-the-art process to extract vital information by combining the
two or more images acquired from different satellite sensors. Recently launched (September …

Evaluation of SCATSAT-1 data for snow cover area mapping over a part of Western Himalayas

V Sood, HS Gusain, S Gupta, S Singh, S Kaur - Advances in Space …, 2020 - Elsevier
In the present work, the potential of Scatterometer Satellite (SCATSAT-1) data (operated at
Ku-band 13.515 GHz) is evaluated to estimate the binary Snow Cover Maps (SCMs) over a …

Estimation and validation of standalone SCATSAT-1 derived snow cover area using different MODIS products

S Singh, RK Tiwari, V Sood, R Kaur, S Singh… - Geocarto …, 2022 - Taylor & Francis
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 …

Comparative analysis and implication of Hyperion hyperspectral and landsat-8 multispectral dataset in land classification

N Dahiya, S Singh, S Gupta - Journal of the Indian Society of Remote …, 2023 - Springer
Remote sensing via hyperspectral imaging delivers the crucial earth's surface information in
narrow spectral bands, which may not be possible with multispectral imaging. The …