The Legacy of Scatterometers: Review of applications and perspective
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 …
in the form of a backscatter coefficient after reflection or scattering from Earth's surface. The …
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 …
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 …
Detection of multitemporal changes with artificial neural network-based change detection algorithm using hyperspectral dataset
Monitoring the Earth's surface and objects is important for many applications, such as
managing natural resources, crop yield predictions, and natural hazard analysis. Remote …
managing natural resources, crop yield predictions, and natural hazard analysis. Remote …
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 …
Image fusion of Ku-band-based SCATSAT-1 and MODIS Data for cloud-free change detection over Western Himalayas
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 …
two or more images acquired from different satellite sensors. Recently launched (September …
Metamaterial based Ku-band antenna for low earth orbit nanosatellite payload system
The concept of nanosatellite technology becomes a viable platform for earth and space
observation research to minimize cost and build time for the payload. The communication …
observation research to minimize cost and build time for the payload. The communication …
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 …