Shashi Kumar

TL;DR: In this article, the authors demonstrate the first systematic tectono-geomorphic evaluation of north Borneo through quantitative and qualitative morphotectonic analysis at sub-catchment scale, for two large drainage basins located in Sarawak: the Rajang and Baram basins.

TL;DR: In this article, the authors investigated the recent landscape development of Borneo through geomorphic analysis of two large drainage basins (Rajang and Baram basins) and extracted morphometric parameters utilizing digital terrain data in a GIS environment, focusing on hydrography (stream length-gradient index, ratio of valley floor width to valley height, and transverse topographic symmetry factor) and topography (local relief and relief anomaly), to elucidate processes governing drainage and landscape evolution.

TL;DR: In this paper, three machine learning algorithms Random Forest (RF), K-Nearest Neighbour (KNN), and Support Vector Machine (SVM) were implemented along with a deep learning model DeepLabv3+ for semantic segmentation of Polarimetric SAR (PolSAR) data.

TL;DR: In this paper, the authors evaluated the potential of polarimetric parameters in discriminating the oil slick from water and also possible thicker/thinner zones within the slick using L-band UAVSAR quad-pol data.

TL;DR: Among the principal thrust belts in the Himalaya such as Main Central Thrust (MCT), Main Boundary Thrust (MBT), and Himalayan Frontal Thrust (HFT), the HFT represents a zone of active deformation between the sub-Himalaya and Indo-Gangetic alluvial plain this paper.