eprintid: 8611
rev_number: 19
eprint_status: archive
userid: 1305
dir: disk0/00/00/86/11
datestamp: 2015-03-17 10:39:26
lastmod: 2015-12-10 10:42:52
status_changed: 2015-03-17 10:39:26
type: book_section
metadata_visibility: show
contact_email: Library-ICRISAT@CGIAR.ORG
creators_name: Thenkabail, P S
creators_name: Teluguntla, P
creators_name: Gumma, M K
creators_name: Dheeravath, V
icrisatcreators_name: Gumma, M K
affiliation: ICRISAT(Patancheru)
affiliation: U. S. Geological Survey
affiliation: Bay Area Environmental Research Institute
affiliation: United Nations World Food Programme
country: India
country: USA
title: Hyperspectral Remote Sensing for Terrestrial Applications
ispublished: pub
subjects: s2.4
divisions: D5
crps: crp1.1
full_text_status: restricted
keywords: Remote sensing, Hyperspectral Sensors, Hyperspectral Data, Spectral Analysis, Hyperspectral remote sensing
abstract: Remote sensing data are considered hyperspectral when the
data are gathered from numerous wavebands, contiguously
over an entire range of the spectrum (e.g., 400–2500 nm). Goetz
(1992) defines hyperspectral remote sensing as “The acquisition
of images in hundreds of registered, contiguous spectral bands
such that for each picture element of an image it is possible
to derive a complete reflectance spectrum.” However, Jensen
(2004) defines hyperspectral remote sensing as “The simultaneous
acquisition of images in many relatively narrow, contiguous
and/or non contiguous spectral bands throughout the
ultraviolet, visible, and infrared portions of the electromagnetic
spectrum.”...
date: 2015-10-02
date_type: published
publication: Environmental Monitoring and Assessment
publisher: CRC Press
pagerange: 201-233
pages: 849
refereed: TRUE
isbn: 9781482217957
issn: 1573-2959
book_title: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing
editors_name: Thenkabail, P S
related_url_url: https://scholar.google.co.in/scholar?as_q=Hyperspectral+Remote+Sensing+for+Terrestrial+Applications&as_epq=&as_oq=&as_eq=&as_occt=title&as_sauthors=&as_publication=&as_ylo=&as_yhi=&btnG=&hl=en&as_sdt=0%2C5
related_url_type: pub
citation:   Thenkabail, P S and Teluguntla, P and Gumma, M K and Dheeravath, V  (2015) Hyperspectral Remote Sensing for Terrestrial Applications.   In:  Land Resources Monitoring, Modeling, and Mapping with Remote Sensing.   CRC Press, pp. 201-233.  ISBN 9781482217957     
document_url: http://oar.icrisat.org/8611/1/HyperSpectralAnalysis.pdf