Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa

M.A. Cho; J. van Aardt; R. Main; B. Majeke; A. Ramoelo; R. Mathieu; M. Norris-Rogers; M. Du Plessis

doi:10.1109/IGARSS.2009.5417321

Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa

M.A. Cho, J. van Aardt, R. Main, B. Majeke, A. Ramoelo, R. Mathieu, M. Norris-Rogers, M. Du Plessis

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

4 Citations (Scopus)

Abstract

The ability of various ecosystems to perform vital functions such as biodiversity production, and water, energy and nutrient cycling depends on the ecosystem state, i.e. health. Ecosystem state assessment has been a topic of intense research, but has reached a point at which accurate large scale (e.g. regional to global scale) modelling and monitoring are hindered by limitations in conventional assessment methods such as direct field sampling, modelling from environmental drivers such as temperature, precipitation and available nutrients, and modelling from remote sensing data. The Ecosystem-Earth Observation (Eco-EO) research group at the Council for Scientific and Industrial Research (CSIR), South Africa has highlighted the need in remote sensing research for an integrated sensing approach at the systems level. This perspective is based on the assumption that a modelling approach that exploits the strength of the various techniques (in situ environmental variables, direct field observation and remote sensing data) could potentially improve the assessment of ecosystem state at various geographic scales. In this light, the Eco-EO research group has embarked on an agro-system state assessment project since 2007 as a first step towards the implementation of the integrated modelling approach for various ecosystems. The agro-system consists of a monoculture forest plantation of Eucalyptus grandis situated in KwaZulu-Natal, South Africa. This paper presents preliminary results from the KwaZulu-Natal E. grandis experimental study. ©2009 IEEE.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July, 2009
Publisher	IEEE
Pages	IV264-IV267
Volume	4
ISBN (Print)	9781424433957
DOIs	https://doi.org/10.1109/IGARSS.2009.5417321
Publication status	Published - 2009
Event	2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa - Duration: 12 Jul 2009 → 17 Jul 2009

Conference/symposium

Conference/symposium	2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa
Period	12/07/09 → 17/07/09

Keywords

Forestry
Hyperspectral remote sensing
Spectral indices

Access to Document

10.1109/IGARSS.2009.5417321

Cite this

Cho, M. A., van Aardt, J., Main, R., Majeke, B., Ramoelo, A., Mathieu, R., Norris-Rogers, M., & Du Plessis, M. (2009). Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa. In International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July, 2009 (Vol. 4, pp. IV264-IV267). IEEE. https://doi.org/10.1109/IGARSS.2009.5417321

@inproceedings{3c2cc1d1120b4107b9e6bed9bbb3e2c8,

title = "Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa",

abstract = "The ability of various ecosystems to perform vital functions such as biodiversity production, and water, energy and nutrient cycling depends on the ecosystem state, i.e. health. Ecosystem state assessment has been a topic of intense research, but has reached a point at which accurate large scale (e.g. regional to global scale) modelling and monitoring are hindered by limitations in conventional assessment methods such as direct field sampling, modelling from environmental drivers such as temperature, precipitation and available nutrients, and modelling from remote sensing data. The Ecosystem-Earth Observation (Eco-EO) research group at the Council for Scientific and Industrial Research (CSIR), South Africa has highlighted the need in remote sensing research for an integrated sensing approach at the systems level. This perspective is based on the assumption that a modelling approach that exploits the strength of the various techniques (in situ environmental variables, direct field observation and remote sensing data) could potentially improve the assessment of ecosystem state at various geographic scales. In this light, the Eco-EO research group has embarked on an agro-system state assessment project since 2007 as a first step towards the implementation of the integrated modelling approach for various ecosystems. The agro-system consists of a monoculture forest plantation of Eucalyptus grandis situated in KwaZulu-Natal, South Africa. This paper presents preliminary results from the KwaZulu-Natal E. grandis experimental study. {\textcopyright}2009 IEEE.",

keywords = "Forestry, Hyperspectral remote sensing, Spectral indices",

author = "M.A. Cho and \{van Aardt\}, J. and R. Main and B. Majeke and A. Ramoelo and R. Mathieu and M. Norris-Rogers and \{Du Plessis\}, M.",

year = "2009",

doi = "10.1109/IGARSS.2009.5417321",

language = "English",

isbn = "9781424433957",

volume = "4",

pages = "IV264--IV267",

booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July, 2009",

publisher = "IEEE",

address = "United States",

note = "2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa ; Conference date: 12-07-2009 Through 17-07-2009",

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Cho, MA, van Aardt, J, Main, R, Majeke, B, Ramoelo, A, Mathieu, R, Norris-Rogers, M & Du Plessis, M 2009, Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa. in International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July, 2009. vol. 4, IEEE, pp. IV264-IV267, 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa, 12/07/09. https://doi.org/10.1109/IGARSS.2009.5417321

Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa. / Cho, M.A.; van Aardt, J.; Main, R. et al.
International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July, 2009. Vol. 4 IEEE, 2009. p. IV264-IV267.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

TY - GEN

T1 - Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa

AU - Cho, M.A.

AU - van Aardt, J.

AU - Main, R.

AU - Majeke, B.

AU - Ramoelo, A.

AU - Mathieu, R.

AU - Norris-Rogers, M.

AU - Du Plessis, M.

PY - 2009

Y1 - 2009

N2 - The ability of various ecosystems to perform vital functions such as biodiversity production, and water, energy and nutrient cycling depends on the ecosystem state, i.e. health. Ecosystem state assessment has been a topic of intense research, but has reached a point at which accurate large scale (e.g. regional to global scale) modelling and monitoring are hindered by limitations in conventional assessment methods such as direct field sampling, modelling from environmental drivers such as temperature, precipitation and available nutrients, and modelling from remote sensing data. The Ecosystem-Earth Observation (Eco-EO) research group at the Council for Scientific and Industrial Research (CSIR), South Africa has highlighted the need in remote sensing research for an integrated sensing approach at the systems level. This perspective is based on the assumption that a modelling approach that exploits the strength of the various techniques (in situ environmental variables, direct field observation and remote sensing data) could potentially improve the assessment of ecosystem state at various geographic scales. In this light, the Eco-EO research group has embarked on an agro-system state assessment project since 2007 as a first step towards the implementation of the integrated modelling approach for various ecosystems. The agro-system consists of a monoculture forest plantation of Eucalyptus grandis situated in KwaZulu-Natal, South Africa. This paper presents preliminary results from the KwaZulu-Natal E. grandis experimental study. ©2009 IEEE.

AB - The ability of various ecosystems to perform vital functions such as biodiversity production, and water, energy and nutrient cycling depends on the ecosystem state, i.e. health. Ecosystem state assessment has been a topic of intense research, but has reached a point at which accurate large scale (e.g. regional to global scale) modelling and monitoring are hindered by limitations in conventional assessment methods such as direct field sampling, modelling from environmental drivers such as temperature, precipitation and available nutrients, and modelling from remote sensing data. The Ecosystem-Earth Observation (Eco-EO) research group at the Council for Scientific and Industrial Research (CSIR), South Africa has highlighted the need in remote sensing research for an integrated sensing approach at the systems level. This perspective is based on the assumption that a modelling approach that exploits the strength of the various techniques (in situ environmental variables, direct field observation and remote sensing data) could potentially improve the assessment of ecosystem state at various geographic scales. In this light, the Eco-EO research group has embarked on an agro-system state assessment project since 2007 as a first step towards the implementation of the integrated modelling approach for various ecosystems. The agro-system consists of a monoculture forest plantation of Eucalyptus grandis situated in KwaZulu-Natal, South Africa. This paper presents preliminary results from the KwaZulu-Natal E. grandis experimental study. ©2009 IEEE.

KW - Forestry

KW - Hyperspectral remote sensing

KW - Spectral indices

U2 - 10.1109/IGARSS.2009.5417321

DO - 10.1109/IGARSS.2009.5417321

M3 - Conference paper

SN - 9781424433957

VL - 4

SP - IV264-IV267

BT - International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July, 2009

PB - IEEE

T2 - 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa

Y2 - 12 July 2009 through 17 July 2009

ER -

Cho MA, van Aardt J, Main R, Majeke B, Ramoelo A, Mathieu R et al. Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa. In International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 12 - 17 July, 2009. Vol. 4. IEEE. 2009. p. IV264-IV267 doi: 10.1109/IGARSS.2009.5417321

Integrating remote sensing and ancillary data for regional ecosystem assessment: Eucalyptus grandis agro-system in Kwazulu-Natal, South Africa

Abstract

Conference/symposium

Keywords

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