Satellite-based change detection in multi-objective scenarios: A comprehensive review

B Farooq, A Manocha - Remote Sensing Applications: Society and …, 2024 - Elsevier
Satellite-based change detection is essential for addressing multi-objective scenarios. This
review provides a comprehensive analysis of its applications and methodologies, focusing …

Challenges in understanding the variability of the cryosphere in the Himalaya and its impact on regional water resources

BD Vishwakarma, R Ramsankaran, MF Azam… - Frontiers in …, 2022 - frontiersin.org
The Himalaya plays a vital role in regulating the freshwater availability for nearly a billion
people living in the Indus, Ganga, and Brahmaputra River basins. Due to climate change …

[HTML][HTML] Monitoring and map** 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 map** and monitoring of snow cover variability over the Himalayas is the …

Joint sparse representations and coupled dictionary learning in multisource heterogeneous image pseudo-color fusion

L Bai, S Yao, K Gao, Y Huang, R Tang… - IEEE sensors …, 2023 - ieeexplore.ieee.org
Considering that coupled dictionary learning (CDL) method can obtain a reasonable linear
mathematical relationship between resource images, we propose a novel CDL-based …

Evaluation of SCATSAT-1 data for snow cover area map** 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 …

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 …

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 …

A review on deep learning classifier for hyperspectral imaging

N Dahiya, S Singh, S Gupta - International Journal of Image and …, 2023 - World Scientific
Nowadays, hyperspectral imaging (HSI) attracts the interest of many researchers in solving
the remote sensing problems especially in various specific domains such as agriculture …

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

R Kaur, RK Tiwari, R Maini - Journal of the Indian Society of Remote …, 2024 - Springer
Soil moisture is a vital parameter in the study of hydrology, agriculture and meteorology. The
estimation of soil moisture is important for crop yield estimation, crop growth analysis and …