Imaging Spectrometry and Vegetation Science

Lalit Kumar; Karin Schmidt; Steve Dury; Andrew Skidmore

doi:10.1007/978-0-306-47578-8_5

Imaging Spectrometry and Vegetation Science

Lalit Kumar
, Karin Schmidt
, Steve Dury
, Andrew Skidmore

Ecosystem Management

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research

Abstract

Remote sensing is increasingly used for measurements required for accurate determinations of the landscape and the state of agricultural and forested land. With the deployment of early broadband sensors there was a lot of enthusiasm as data, which was previously not feasible to obtain. was now regularly available for large areas of the earth. For the first time vegetation mapping could be undertaken on a large (coarse) scale and the data updated regularly. However. new technologies have shown that while data obtained from broadband sensors have been useful in many respects, they also have their limitations. Because of their limited number of channels and wide bandwidths, a lot of the data about plant reflectance is lost due to averaging.

Original language	English
Title of host publication	Imaging Spectrometry: Basic Principles and Prospective Applications
Editors	Freek D van der Meer, Steven M De Jong
Place of Publication	Dordrecht, Netherlands
Publisher	Kluwer Academic Publishers
Pages	111-155
Edition	1
ISBN (Print)	9780306475788, 9781402001949, 0306475782, 1402001940
DOIs	https://doi.org/10.1007/978-0-306-47578-8_5
Publication status	Published - 2001

Publication series

Name	Remote Sensing and Digital Image Processing
Number	4
ISSN (Electronic)	1567-3200

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Photogrammetry and Remote Sensing
Environmental Monitoring
Geospatial Information Systems

Access to Document

10.1007/978-0-306-47578-8_5

https://hdl.handle.net/1959.11/10412

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title = "Imaging Spectrometry and Vegetation Science",

abstract = "Remote sensing is increasingly used for measurements required for accurate determinations of the landscape and the state of agricultural and forested land. With the deployment of early broadband sensors there was a lot of enthusiasm as data, which was previously not feasible to obtain. was now regularly available for large areas of the earth. For the first time vegetation mapping could be undertaken on a large (coarse) scale and the data updated regularly. However. new technologies have shown that while data obtained from broadband sensors have been useful in many respects, they also have their limitations. Because of their limited number of channels and wide bandwidths, a lot of the data about plant reflectance is lost due to averaging.",

keywords = "Photogrammetry and Remote Sensing, Environmental Monitoring, Geospatial Information Systems",

author = "Lalit Kumar and Karin Schmidt and Steve Dury and Andrew Skidmore",

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series = "Remote Sensing and Digital Image Processing",

publisher = "Kluwer Academic Publishers",

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booktitle = "Imaging Spectrometry: Basic Principles and Prospective Applications",

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}

Kumar, L, Schmidt, K, Dury, S & Skidmore, A 2001, Imaging Spectrometry and Vegetation Science. in F D van der Meer & S M De Jong (eds), Imaging Spectrometry: Basic Principles and Prospective Applications. 1 edn, Remote Sensing and Digital Image Processing, no. 4, Kluwer Academic Publishers, Dordrecht, Netherlands, pp. 111-155. https://doi.org/10.1007/978-0-306-47578-8_5

Imaging Spectrometry and Vegetation Science. / Kumar, Lalit; Schmidt, Karin; Dury, Steve et al.
Imaging Spectrometry: Basic Principles and Prospective Applications. ed. / Freek D van der Meer; Steven M De Jong. 1. ed. Dordrecht, Netherlands: Kluwer Academic Publishers, 2001. p. 111-155 (Remote Sensing and Digital Image Processing; No. 4).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research

TY - CHAP

T1 - Imaging Spectrometry and Vegetation Science

AU - Kumar, Lalit

AU - Schmidt, Karin

AU - Dury, Steve

AU - Skidmore, Andrew

PY - 2001

Y1 - 2001

N2 - Remote sensing is increasingly used for measurements required for accurate determinations of the landscape and the state of agricultural and forested land. With the deployment of early broadband sensors there was a lot of enthusiasm as data, which was previously not feasible to obtain. was now regularly available for large areas of the earth. For the first time vegetation mapping could be undertaken on a large (coarse) scale and the data updated regularly. However. new technologies have shown that while data obtained from broadband sensors have been useful in many respects, they also have their limitations. Because of their limited number of channels and wide bandwidths, a lot of the data about plant reflectance is lost due to averaging.

AB - Remote sensing is increasingly used for measurements required for accurate determinations of the landscape and the state of agricultural and forested land. With the deployment of early broadband sensors there was a lot of enthusiasm as data, which was previously not feasible to obtain. was now regularly available for large areas of the earth. For the first time vegetation mapping could be undertaken on a large (coarse) scale and the data updated regularly. However. new technologies have shown that while data obtained from broadband sensors have been useful in many respects, they also have their limitations. Because of their limited number of channels and wide bandwidths, a lot of the data about plant reflectance is lost due to averaging.

KW - Photogrammetry and Remote Sensing

KW - Environmental Monitoring

KW - Geospatial Information Systems

UR - http://nla.gov.au/anbd.bib-an23376673

U2 - 10.1007/978-0-306-47578-8_5

DO - 10.1007/978-0-306-47578-8_5

M3 - Chapter

SN - 9780306475788

SN - 9781402001949

SN - 0306475782

SN - 1402001940

T3 - Remote Sensing and Digital Image Processing

SP - 111

EP - 155

BT - Imaging Spectrometry: Basic Principles and Prospective Applications

A2 - D van der Meer, Freek

A2 - M De Jong, Steven

PB - Kluwer Academic Publishers

CY - Dordrecht, Netherlands

ER -

Imaging Spectrometry and Vegetation Science

Abstract

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UN SDGs

Keywords

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