The University of Southampton
University of Southampton Institutional Repository

Use of the ETM+ thermal band to identify irrigation patterns in the Aral Sea basin, Kazakhstan

Use of the ETM+ thermal band to identify irrigation patterns in the Aral Sea basin, Kazakhstan
Use of the ETM+ thermal band to identify irrigation patterns in the Aral Sea basin, Kazakhstan
Landsat TM thermal bands have generally not been used for land-use classification because of their inferior spatial resolution. But thermal band data is potentially useful, highlighting reductions in temperature associated with recent irrigation, and between the different stages of growth of the crops. This paper presents the results of a remote sensing study for land use classification, based upon Landsat 7 ETM+ data, aimed at estimating irrigation water demand on the basis of the areas cultivated with different types of crops, and local irrigation practices. A time series of images has been acquired for an area along the Syr Darya River (Kazakhstan), one of the two major rivers feeding the Aral Sea. Once the fourth largest inland sea in surface area in the world, the Aral Sea has been reduced to less than 20% of its original volume as a result of large-scale irrigation, causing extensive environmental damage. A rational method of managing irrigation is urgently required if the sea is to return to its former condition. This paper explores the use of the Landsat ETM+ thermal bands alongside those more commonly used for agricultural land classification. Strategies for determining irrigation water demand are discussed, and observations are compared with ground truth
0819442674
62-71
International Society for Optical Engineering
Clayton, Christopher
8397d691-b35b-4d3f-a6d8-40678f233869
Perdikou, Paraskevi
5b32f2a1-5ce2-4290-9c5c-bfd960fae6e7
Hadjimitsis, Diafantos
f69ce81d-903c-404f-8d74-efd14d0183fe
Owe, Manfred
D'Urso, Guido
Toulios, Leonidas
Clayton, Christopher
8397d691-b35b-4d3f-a6d8-40678f233869
Perdikou, Paraskevi
5b32f2a1-5ce2-4290-9c5c-bfd960fae6e7
Hadjimitsis, Diafantos
f69ce81d-903c-404f-8d74-efd14d0183fe
Owe, Manfred
D'Urso, Guido
Toulios, Leonidas

Clayton, Christopher, Perdikou, Paraskevi and Hadjimitsis, Diafantos (2003) Use of the ETM+ thermal band to identify irrigation patterns in the Aral Sea basin, Kazakhstan. Owe, Manfred, D'Urso, Guido and Toulios, Leonidas (eds.) In Remote Sensing for Agriculture, Ecosystems, and Hydrology IV. vol. 4879, International Society for Optical Engineering. pp. 62-71 . (doi:10.1117/12.463088).

Record type: Conference or Workshop Item (Paper)

Abstract

Landsat TM thermal bands have generally not been used for land-use classification because of their inferior spatial resolution. But thermal band data is potentially useful, highlighting reductions in temperature associated with recent irrigation, and between the different stages of growth of the crops. This paper presents the results of a remote sensing study for land use classification, based upon Landsat 7 ETM+ data, aimed at estimating irrigation water demand on the basis of the areas cultivated with different types of crops, and local irrigation practices. A time series of images has been acquired for an area along the Syr Darya River (Kazakhstan), one of the two major rivers feeding the Aral Sea. Once the fourth largest inland sea in surface area in the world, the Aral Sea has been reduced to less than 20% of its original volume as a result of large-scale irrigation, causing extensive environmental damage. A rational method of managing irrigation is urgently required if the sea is to return to its former condition. This paper explores the use of the Landsat ETM+ thermal bands alongside those more commonly used for agricultural land classification. Strategies for determining irrigation water demand are discussed, and observations are compared with ground truth

This record has no associated files available for download.

More information

Published date: March 2003
Venue - Dates: Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, Agia Pelagia, Greece, 2002-09-23 - 2002-09-23

Identifiers

Local EPrints ID: 53879
URI: http://eprints.soton.ac.uk/id/eprint/53879
ISBN: 0819442674
PURE UUID: 56bab1a2-b88a-4aab-8f9c-ce259eb54afa
ORCID for Christopher Clayton: ORCID iD orcid.org/0000-0003-0071-8437

Catalogue record

Date deposited: 06 Aug 2008
Last modified: 23 Jul 2022 01:46

Export record

Altmetrics

Contributors

Author: Paraskevi Perdikou
Author: Diafantos Hadjimitsis
Editor: Manfred Owe
Editor: Guido D'Urso
Editor: Leonidas Toulios

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×