Glacier boundary mapping using deep learning classification over bara shigri Glacier in western Himalayas
Glacier, snow, and ice are the essential components of the Himalayan cryosphere and
provide a sustainable water source for different applications. Continuous and accurate …
provide a sustainable water source for different applications. Continuous and accurate …
Thirsty for a Noninvasive Wearable to Detect Dehydration: A Review
In this article, the significance, clinical needs, methods and principles for continuous human
body hydration level monitoring are reviewed. Maintaining hydrated is critical for physical …
body hydration level monitoring are reviewed. Maintaining hydrated is critical for physical …
A framework for crop yield estimation and change detection using image fusion of microwave and optical satellite dataset
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 …
role in the decision-making process for sustainable agriculture. Remote sensing provides …
Endeavours of Scatterometer Satellite (SCATSAT-1) in Earth Exploration: An Overview of Products, Applications and Emerging Trends
Abstract The SCATSAT-1 (Scatterometer Satellite) was launched by ISRO (Indian Space
Research Organisation) on 26th September 2016 from the Satish Dhawan Space Centre …
Research Organisation) on 26th September 2016 from the Satish Dhawan Space Centre …
Deep learning in the mapping of agricultural land use using Sentinel-2 satellite data
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 …
and crop failure. Remote sensing is cost-effective, as well as being an efficient solution to …
Qualitative and quantitative analysis of artificial neural network-based post-classification comparison to detect the earth surface variations using hyperspectral and …
Remote sensing is an effective way to analyze land surface changes on regular basis
globally. In the previous literature, numerous change detection models were developed to …
globally. In the previous literature, numerous change detection models were developed to …
Estimation and validation of standalone SCATSAT-1 derived snow cover area using different MODIS products
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 …
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
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 …
narrow spectral bands, which may not be possible with multispectral imaging. The …
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 …
Polar Sea Ice Detection Using a Rotating Fan Beam Scatterometer
Scatterometers are dedicated to monitoring sea surface wind vectors, but they also provide
valuable data for polar applications. As a new type of scatterometer, the rotating fan beam …
valuable data for polar applications. As a new type of scatterometer, the rotating fan beam …