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1000 tulosta hakusanalla M. Kumar

Remote Sensing Approach for Assessment of Biomass and Carbon Stock

Remote Sensing Approach for Assessment of Biomass and Carbon Stock

Anil Kumar Khaple; G M Devagiri; E T Puttaiah

LAP Lambert Academic Publishing
2018
pokkari
This book is designed to serve as a field manual for researchers and students working in the field of forest ecology and management. There is a detailed description of forest types of Northern districts of Karnataka. Use of field inventory methods and satellite remote sensing techniques for precise estimation of above ground biomass and carbon stock have been described in detail. These methods and techniques can be used by the students and researchers working in the field of forest ecology. Data presented in this book gives an estimate of Above Ground Biomass (AGB) and Carbon stocks in different vegetation types of Northern parts of Karnataka based on the field inventory. Later part explains the role of remote sensing in assessing the biomass and carbon in different forest types by using remote sensing tools that helps us to get the biomass and carbon map of the entire area by complying the ground or field data with remote sensing data. This book will guide researcher and government departments in curving policies, management strategy and conservation in the context of climate change mitigation and adaptation strategies.
Diamagnetic Susceptibility and Anisotropy of Inorganic and Organometallic Compounds

Diamagnetic Susceptibility and Anisotropy of Inorganic and Organometallic Compounds

M. Jain; A. Gupta; M. Kumar; R. Gupta

Springer-Verlag Berlin and Heidelberg GmbH Co. K
2007
sidottu
The volume II/27A has been divided into three subvolumes according to the classes of compounds: Subvolume A: Diamagnetic susceptibility and magnetic anisotropy of inorganic and organometallic compounds; Subvolume B: Diamagnetic susceptibility of organic compounds (Part 1); Subvolume C: Diamagnetic susceptibility and magnetic anisotropy of organic compounds (Part 2). The data presented in this volume are based on the literature survey of the chemical abstracts up to 2005.
AI-Driven Cyber Security

AI-Driven Cyber Security

S R Jena; Dileep Kumar M

SCHOLARS' PRESS
2024
pokkari
Welcome to the forefront of modern cyber security - a landscape shaped and transformed by the relentless evolution of Artificial Intelligence (AI) and Deep Learning technologies. As we stand at the precipice of the digital era, the need for robust, intelligent defense mechanisms against cyber threats has never been more pressing. This book, embarks on a comprehensive journey through the intricate realm where cutting-edge AI meets the ever-evolving challenges of cyber security.