Hyperspectral Indices and Image Classifications for Agriculture and Vegetation / (Record no. 130883)

000 -LEADER
fixed length control field 05522nam a2200493Ii 4500
001 - CONTROL NUMBER
control field 9781315159331
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220509193139.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190122t20182019fluab ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781315159331(e-book : PDF)
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1076543133
040 ## - CATALOGING SOURCE
Original cataloging agency FlBoTFG
Transcribing agency FlBoTFG
Description conventions rda
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QK46.5
Item number .V44
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 011000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code SCI
Subject category code subdivision 019000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TEC
Subject category code subdivision 003000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code TVB
Source bicscc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 581.7
Edition number 23
245 00 - TITLE STATEMENT
Title Hyperspectral Indices and Image Classifications for Agriculture and Vegetation /
Statement of responsibility, etc edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete.
250 ## - EDITION STATEMENT
Edition statement Second edition.
264 #1 -
-- Boca Raton, FL :
-- CRC Press,
-- [2018].
264 #4 -
-- ©2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (332 pages) :
Other physical details 154 illustrations, text file, PDF
336 ## -
-- text
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 00 - FORMATTED CONTENTS NOTE
Title Section I: Hyperspectral Vegetation Indices -- Hyperspectral vegetation indices -- [Dar A. Roberts, Keely L. Roth, Erin B. Wetherley, Susan K. Meerdink, and Ryan L. Perroy] -- Derivative hyperspectral vegetation indices in characterizing forest biophysical and biochemical quantities -- [Quan Wang, Jia Jin, Rei Sonobe, and Jing Ming Chen] -- Section II: Hyperspectral Image Classification Methods and Approaches -- Hyperpsectral image classification methods in vegetation and agricultural -- cropland studies -- [Edoardo Pasolli, Saurabh Prasad, Melba M. Crawford, and James C. Tilton] -- Big Data Processing on Cloud Computing Architectures for Hyperspectral Remote Sensing -- [Zebin Wu, Jin Sun, and Yi Zhang] -- Section III: Hyperspectral Vegetation Indices Applications to Agriculture and Vegetation -- Non-invasive Quantification of Foliar Pigments: Principles and Implementation -- [Anatoly Gitelson and Alexei Solovchenko] -- Hyperspectral Remote Sensing of Leaf Nitrogen Concentration in Cereal Crops -- [Tao Cheng, Yan Zhu, Dong Li, Xia Yao, and Kai Zhou] -- Optical remote sensing of vegetation water content -- [Colombo Roberto, Busetto Lorenzo, Meroni Michele, Rossini Micol, and Panigada Cinzia] -- Estimation of nitrogen content in herbaceous plants using hyperspectral vegetation indices -- [D. Stroppiana, F. Fava, M. Boschetti, and P.A. Brivio] -- Hyperspectral remote sensing of leaf chlorophyll content: from leaf, canopy, to landscape scales -- [Yongqin Zhang] -- Section IV: Conclusions -- Fifty-years of Advances in Hyperspectral Remote Sensing of Agriculture and Vegetation: Summary, Insights, and Highlights of Volume II: Hyperspectral Vegetation Indices and Image Classifications for Agriculture and Vegetation -- [Prasad S. Thenkabil, John G. Lyon, and Alfredo Huete].
520 3# - SUMMARY, ETC.
Summary, etc Written by leading global experts, including pioneers in the field, the four-volume set on Hyperspectral Remote Sensing of Vegetation, Second Edition, reviews existing state-of- the-art knowledge, highlights advances made in different areas, and provides guidance for the appropriate use of hyperspectral data in the study and management of agricultural crops and natural vegetation. Volume II, Hyperspectral Indices and Image Classifications for Agriculture and Vegetation evaluates the performance of hyperspectral narrowband or imaging spectroscopy data with specific emphasis on the uses and applications of hyperspectral narrowband vegetation indices in characterizing, modeling, mapping, and monitoring agricultural crops and vegetation. This volume presents and discusses topics such as the non-invasive quantification of foliar pigments, leaf nitrogen concentration of cereal crop, the estimation of nitrogen content in crops and pastures, and forest leaf chlorophyll content, among others. The concluding chapter provides readers with useful guidance on the highlights and essence of Volume II through the editors’ perspective. Key Features of Volume II: Provides the fundamentals of hyperspectral narrowband vegetation indices and hyperspectral derivative vegetation indices and their applications in agriculture and vegetation studies. Discusses the latest advances in hyperspectral image classification methods and their applications. Explains the massively big hyperspectral sensing data processing on cloud computing architectures. Highlights the state-of-the-art methods in the field of hyperspectral narrowband vegetation indices for monitoring agriculture, vegetation, and their properties such as plant water content, nitrogen, chlorophyll, and others at leaf, canopy, field, and landscape scales. Includes best global expertise on hyperspectral remote sensing of agriculture, crop water use, plant species detection, crop productivity and water productivity mapping, and modeling.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print format.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCIENCE / Earth Sciences / General.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element TECHNOLOGY & ENGINEERING / Agriculture / General.
Source of heading or term bisacsh
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Vegetation monitoring.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Plants
General subdivision Remote sensing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Crops
General subdivision Remote sensing.
655 #0 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Thenkabail, Prasad S.,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lyon, John G.,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huete, Alfredo ,
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Taylor and Francis.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 9781138066038
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9781315159331
Public note Click here to view

No items available.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue