Nearest-Neighbor Diffusion-based pan-sharpening using multispectral MODIS and AWiFS

Remote sensing plays a significant role in the monitoring of the undulating the Himalayas. With continuous monitoring, the preservation of natural resources and mitigation of natural hazards is possible. Currently, satellite sensors are not capable enough to deliver the earth's surface image at a very high temporal, spectral, and spatial resolution, simultaneously. Therefore, it is essential to perform the pan-sharpening of spatially high-resolution (HR) panchromatic (PAN) spectral band with low-resolution (LR) multispectral (MS) imagery which must be acquired on the same temporal date from multiple sensors. On the other hand, due to the rugged topography of the Himalayas, topographic effects are generally induced in the form of shadow and affect the spatial information or spectral information. 

Process of Pan-sharpening (Fusion)

For regional or global scale studies, the LR satellite dataset is more preferable and can be merged with the HR dataset with nearest-neighbor diffusion (NND) -based pan-sharpening algorithm. With visual interpretation, it is apparent that NND pan-sharpening with topographic correction offers more reliable information by effectively removing the shadow effects as compared with NND pan-sharpening without topographic correction.

Singh et al. (2020) address the topographic correction is required to be implemented with NND-based pan-sharpening and other classification models. For experimental purposes, AWiFS as HR-PAN data and MODIS as LR-MS data have been used.

  

Reference: Singh, S., Sood, V., Prashar, S. and Kaur, R., 2020. Response of topographic control on nearest-neighbor diffusion-based pan-sharpening using multispectral MODIS and AWiFS satellite dataset. Arabian Journal of Geosciences, 13(14), pp.1-9. 

Link for full study: https://rdcu.be/b5DMK

Potential Applications of SCATSAT-1 Satellite Sensor: A systematic review

The Ku-band (13.5 GHz) based scatterometer is the main sensor onboard Scatterometer Satellite (SCATSAT-1) launched on 26th September 2016 by Indian Space Research Organization (ISRO). The SCATSAT-1 satellite sensor provides daily updates on the conditions of atmospheric, oceanographic, agriculture and cryospheric parameters. Moreover, it delivers data products (Level 1‒4) in form of different parameters (Sigma-naught σ0, Gamma-naught γ0, brightness temperature BT, wind vectors and velocity) at two different polarization modes (HH and VV). 

SCATSAT-1 Products & their Applications 

Since launch, several studies have been carried out to explore the potential of SCATSAT-1 satellite sensor for remote observation of the ocean as well as the land surface at the global level. Besides the conventional applications in weather and oceanic domains which are based on wind vector data, emerging applications over land use and land cover are also introduce. 

Singh et al. (2020) address the current status of SCATSAT-1 applications in different scientific domains such as oceanographic, cryospheric, agriculture and land hydrology. It is expected that such an extensive exploration of the applications of SCATSAT-1 satellite sensor will provide important insights for future utilization of scatterometer data.

  

Reference: S. Singh, R. K. Tiwari, H. S. Gusain and V. Sood, "Potential Applications of SCATSAT-1 Satellite Sensor: A systematic review," in IEEE Sensors Journal. 

Doi: https://doi.org/10.1109/JSEN.2020.3002720

Link for detailed study