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Advances in Remote Sensing for Natural Resource Monitoring

Advances in Remote Sensing for Natural Resource Monitoring

Wydawnictwo Wiley & Sons
Data wydania
Liczba stron 528
Forma publikacji książka w twardej oprawie
Język angielski
ISBN 9781119615972
Kategorie Systemy informacji geograficznej (GIS) i metody zdalne
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Opis książki

Sustainable management of natural resources is an urgent need, given the changing climatic conditions of Earth systems. The ability to monitor natural resources precisely and accurately is increasingly important. New and advanced remote sensing tools and techniques are continually being developed to monitor and manage natural resources in an effective way. Remote sensing technology uses electromagnetic sensors to record, measure and monitor even small variations in natural resources. The addition of new remote sensing datasets, processing techniques and software makes remote sensing an exact and cost-effective tool and technology for natural resource monitoring and management. Advances in Remote Sensing for Natural Resources Monitoring provides a detailed overview of the potential applications of advanced satellite data in natural resource monitoring. The book determines how environmental and - ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Each chapter covers different aspects of remote sensing approach to monitor the natural resources effectively, to provide a platform for decision and policy. This important work: * Provides comprehensive coverage of advances and applications of remote sensing in natural resources monitoring * Includes new and emerging approaches for resource monitoring with case studies * Covers different aspects of forest, water, soil- land resources, and agriculture * Provides exemplary illustration of themes such as glaciers, surface runoff, ground water potential and soil moisture content with temporal analysis * Covers blue carbon, seawater intrusion, playa wetlands, and wetland inundation with case studies * Showcases disaster studies such as floods, tsunami, showing where remote sensing technologies have been used This edited book is the first volume of the book series Advances in Remote Sensing for Earth Observation.

Advances in Remote Sensing for Natural Resource Monitoring

Spis treści

List of abbreviations

List of Contributors

List of Editors

Foreword [to come]

Preface [to come]

Section I General

Chapter 1 Introduction to Natural Resource Monitoring Using Remote Sensing Technology

Prem Chandra PANDEY and Laxmi Kant SHARMA

Chapter 2 Spectroradiometry: Types, Data Collection, and Processing

Manish Kumar PANDEY, Ayushi GUPTA, Prachi SINGH, Prem Chandra PANDEY, Prashant K SRIVASTAVA

Chapter 3 Geometric-optical modeling of Bidirectional Reflectance Distribution Function for trees and forest stands

Nour El Islam BACHARI, Salim LAMINE & Khaled MEHARRAR

Section II Vegetation Resource Monitoring (Forest and Agriculture)

Chapter 4 Mapping Stand Age of Indonesian Rubber Plantation using Fully Polarimetric L-Band Synthetic Aperture Radar

Bambang H. TRISASONGKO

Chapter 5 Responses of Multi-Frequency Remote Sensing to Forest Biomass

Suman SINHA, A. SANTRA, L.K. SHARMA, A.K. DAS, C. JEGANATHAN, Shiv MOHAN, S.S. MITRA, M.S. NATHAWAT

Chapter 6 Crop water Requirements Analysis Using Geoinformatics Techniques in the Water Scarce Semi-Arid Watershed

Ibrahim-Bathis. K, SA AHMED, Nischitha.V and M.A Mohammed-ASLAM

Chapter 7 Biophysical Characterization and Monitoring Large-Scale Water and Vegetation Anomalies by Remote Sensing in the Agricultural Growing Areas of the Brazilian Semiarid Region

Antônio Heriberto de Castro TEIXEIRA; Janice Freitas LEIVAS; Edson Patto PACHECO; Edlene Aparecida Monteiro GARÇON & Celina Maki TAKEMURA

Chapter 8 SMOS L4 Downscaled Soil Moisture Product Evaluation over a 2 year- period in a Mediterranean Setting

Patrick N. L. LAMPTEY, George P. PETROPOULOS, Prashant K. SRIVASTAVA

Chapter 9 Estimating Urban Population Density Using Remotely Sensed Imagery Products

Dimitris TRIANTAKONSTANTIS, Demetris STATHAKIS and Zoi PAPADOPOULOU

Chapter 10 Impact of Land Cover Change on Surface Runoff

Apoorv SOOD, S.K.GHOSH, Priyadarshi UPADHYAY

Chapter 11 Delineation of Ground Water Potential Zone and Site Suitability of Rainwater Harvesting Structures using Remote Sensing and In-situ Geophysical Measurements

Prachi SINGH, Akash ANAND, Prashant K. SRIVASTAVA, Arjun SINGH and Prem Chandra PANDEY

Chapter 12 Structural control on the landscape Evolution of Son Alluvial Fan System in Ganga foreland basin

Manish PANDEY, Yogesh RAY, Aman ARORA, UK SHUKLA, Shyam RANJAN

Chapter 13 Managing the Blue Carbon Ecosystem: A Remote Sensing and GIS Approaches

Parul MAURYA, Anup Kumar DAS, Rina KUMARI

Chapter 14 Appraising the Changing Climate and Extent of Snow in the Kashmir Himalaya using MODIS data

Seema RANI

Chapter 15 Knowledge-based mapping of debris-covered glaciers in the Greater Himalayan Range

Swagata GHOSH and RAAJ RAMSANKARAN

Chapter 16 Seawater Intrusion and Salinity Mapping in coastal Aquifers: A Geospatial approach

TANUSHREE, Rina KUMARI

Chapter 17 Wetland Inundated Area Modelling and Monitoring using Supervised and machine learning classifiers

Swapan TALUKDAR, Sakshi MANKOTIA, Md SHAMIMUZZAMAN, SHAHFAHAD, Susanta MAHATO

Chapter 18 A Focus on Reagrregation of Playa Wetlandscapes in the Face of Global Ecological Disconnectivity

Laxmikant SHARMA, Rajashree NAIK and Prem Chandra PANDEY

Chapter 19 Flood Damage Assessment in a Part of the Ganga-Brahmaputra Plain Region, India

Rajesh KUMAR

Chapter 20 Texture Based Riverine Feature Extraction and Flood Mapping Using Satellite Images

KULDEEP, P K GARG and R D GARG

Chapter 21 Numerical Simulation and Comparison of Tsunami Inundation for Different Satellite Derived Datasets for the Gujarat Coast of India

Shafique MATIN & PRAVEEN S S

Chapter 22 Future aspects and potential of the remote sensing technology to meet the natural resource needs

Laxmi Kant SHARMA, Rajit GUPTA, and Prem Chandra PANDEY

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