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 …

Endeavours of Scatterometer Satellite (SCATSAT-1) in Earth Exploration: An Overview of Products, Applications and Emerging Trends

S Singh, V Sood, RK Tiwaric, R Kaur… - … of the Earth, Parts A/B/C, 2024 - Elsevier
Abstract The SCATSAT-1 (Scatterometer Satellite) was launched by ISRO (Indian Space
Research Organisation) on 26th September 2016 from the Satish Dhawan Space Centre …

[HTML][HTML] Glacier boundary map** using deep learning classification over Bara Shigri Glacier in Western Himalayas

V Sood, RK Tiwari, S Singh, R Kaur, BR Parida - Sustainability, 2022 - mdpi.com
Glacier, snow, and ice are the essential components of the Himalayan cryosphere and
provide a sustainable water source for different applications. Continuous and accurate …

[HTML][HTML] Deep learning in the map** 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 …

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 …

Detection and map** of agriculture seasonal variations with deep learning–based change detection using Sentinel-2 data

G Singh, S Singh, GK Sethi, V Sood - Arabian Journal of Geosciences, 2022 - Springer
Change detection is one of the vital ways to analyse the multitemporal variations over a
specified period using remote sensing data. In recent years, deep learning (DL) algorithms …

Fusion of SCATSAT-1 and optical data for cloud-free imaging and its applications in classification

S Singh, RK Tiwari, V Sood, S Prashar - Arabian Journal of Geosciences, 2021 - Springer
Earth observation via optical-based remote sensing is one of the effective solutions to cover
the large swath and to deliver the very high-resolution dataset at the different wavelengths …

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 …

Survey on machine learning and deep learning techniques for agriculture Land

G Singh, GK Sethi, S Singh - SN Computer Science, 2021 - Springer
Agriculture land is playing a vital role in develo** the economy of Indian states and
contributes~ 15% of India's gross domestic product (GDP). Moreover, agriculture is a major …