Challenges in understanding the variability of the cryosphere in the Himalaya and its impact on regional water resources
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 …
people living in the Indus, Ganga, and Brahmaputra River basins. Due to climate change …
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 …
review provides a comprehensive analysis of its applications and methodologies, focusing …
[HTML][HTML] Monitoring and mapping of snow cover variability using topographically derived NDSI model over north Indian Himalayas during the period 2008–19
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 …
or ice cover. The mapping and monitoring of snow cover variability over the Himalayas is the …
Evaluation of SCATSAT-1 data for snow cover area mapping over a part of Western Himalayas
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 …
Ku-band 13.515 GHz) is evaluated to estimate the binary Snow Cover Maps (SCMs) over a …
Detection and mapping of agriculture seasonal variations with deep learning–based change detection using Sentinel-2 data
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 …
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
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 …
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
Agriculture land is playing a vital role in developing the economy of Indian states and
contributes~ 15% of India's gross domestic product (GDP). Moreover, agriculture is a major …
contributes~ 15% of India's gross domestic product (GDP). Moreover, agriculture is a major …
Joint Sparse Representations and Coupled Dictionary Learning in Multi-Source Heterogeneous Image Pseudo-color Fusion
Considering that coupled dictionary learning (CDL) method can obtain a reasonable linear
mathematical relationship between resource images, we propose a novel CDL-based …
mathematical relationship between resource images, we propose a novel CDL-based …
Detection of Soil Moisture Variations with Fusion-Based Change Detection Algorithm for MODIS and SCATSAT-1 Datasets
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 …
estimation of soil moisture is important for crop yield estimation, crop growth analysis and …
[HTML][HTML] Detection of emerald ash borer damage using an improved change detection method: Integrating host phenology and pest life history
Q Zhou, L Yu, X Zhang, R Qi, R Tang, L Ren, Y Luo - Ecological Indicators, 2024 - Elsevier
Abstract Invasive Emerald Ash Borer (EAB) damage pose significant challenges for
sustainable forest management, necessitating accurate mapping of damaged ash trees …
sustainable forest management, necessitating accurate mapping of damaged ash trees …