Remote sensing and modeling of savannas: The state of the dis-union

M.J. Hill; N.P. Hanan; W. Hoffmann; R. Scholes; S. Prince; J. Ferwerda; R.M. Lucas; I. Baker; A. Arneth; S.I. Higgins; D.J. Barrett; M. Disney; L. Hutley

Remote sensing and modeling of savannas: The state of the dis-union

M.J. Hill^*, N.P. Hanan, W. Hoffmann, R. Scholes, S. Prince, J. Ferwerda, R.M. Lucas, I. Baker, A. Arneth, S.I. Higgins, D.J. Barrett, M. Disney, L. Hutley

^*Corresponding author for this work

Faculty of Geo-Information Science and Earth Observation

Research output: Contribution to conference › Paper › peer-review

11 Citations (Scopus)

37 Downloads (Pure)

Abstract

Tree-grass systems occupy nearly a quarter of the terrestrial surface (27 million km2). They face an uncertain future given pressures from land use change and climate change. Serious systems analysis, modeling, scenario development and ecosystems futures assessment for savannas is needed to avoid past mistakes in land management. Integration of measurement from field and remote sensing with multi-scale modeling is required to realize this. This paper summarizes the state of knowledge, key issues and capacity for savanna systems modeling using remote sensing. The authors contributed to a NASA workshop on remote sensing and modeling savannas.

Original language	English
Number of pages	6
Publication status	Published - 2011
Event	34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia Duration: 10 Apr 2011 → 15 Apr 2011 https://www.isprs.org/proceedings/2011/ISRSE-34/

Conference

Conference	34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
Country/Territory	Australia
City	Sydney, NSW
Period	10/04/11 → 15/04/11
Internet address	https://www.isprs.org/proceedings/2011/ISRSE-34/

Keywords

Grass
Model
Pattern
Remote sensing
Savanna
Scale
Structure
Tree
ITC-CV

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https://www.isprs.org/proceedings/2011/isrse-34/Licence: CC BY

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Hill, M. J., Hanan, N. P., Hoffmann, W., Scholes, R., Prince, S., Ferwerda, J., Lucas, R. M., Baker, I., Arneth, A., Higgins, S. I., Barrett, D. J., Disney, M., & Hutley, L. (2011). Remote sensing and modeling of savannas: The state of the dis-union. Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia. https://www.isprs.org/proceedings/2011/isrse-34/

@conference{a4429b87a1f54a168ad168decb3857a8,

title = "Remote sensing and modeling of savannas: The state of the dis-union",

abstract = "Tree-grass systems occupy nearly a quarter of the terrestrial surface (27 million km2). They face an uncertain future given pressures from land use change and climate change. Serious systems analysis, modeling, scenario development and ecosystems futures assessment for savannas is needed to avoid past mistakes in land management. Integration of measurement from field and remote sensing with multi-scale modeling is required to realize this. This paper summarizes the state of knowledge, key issues and capacity for savanna systems modeling using remote sensing. The authors contributed to a NASA workshop on remote sensing and modeling savannas.",

keywords = "Grass, Model, Pattern, Remote sensing, Savanna, Scale, Structure, Tree, ITC-CV",

author = "M.J. Hill and N.P. Hanan and W. Hoffmann and R. Scholes and S. Prince and J. Ferwerda and R.M. Lucas and I. Baker and A. Arneth and S.I. Higgins and D.J. Barrett and M. Disney and L. Hutley",

year = "2011",

language = "English",

note = "34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring ; Conference date: 10-04-2011 Through 15-04-2011",

url = "https://www.isprs.org/proceedings/2011/ISRSE-34/",

}

Hill, MJ, Hanan, NP, Hoffmann, W, Scholes, R, Prince, S, Ferwerda, J, Lucas, RM, Baker, I, Arneth, A, Higgins, SI, Barrett, DJ, Disney, M & Hutley, L 2011, 'Remote sensing and modeling of savannas: The state of the dis-union', Paper presented at 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, Sydney, NSW, Australia, 10/04/11 - 15/04/11. <https://www.isprs.org/proceedings/2011/isrse-34/>

TY - CONF

T1 - Remote sensing and modeling of savannas

T2 - 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

AU - Hill, M.J.

AU - Hanan, N.P.

AU - Hoffmann, W.

AU - Scholes, R.

AU - Prince, S.

AU - Ferwerda, J.

AU - Lucas, R.M.

AU - Baker, I.

AU - Arneth, A.

AU - Higgins, S.I.

AU - Barrett, D.J.

AU - Disney, M.

AU - Hutley, L.

PY - 2011

Y1 - 2011

N2 - Tree-grass systems occupy nearly a quarter of the terrestrial surface (27 million km2). They face an uncertain future given pressures from land use change and climate change. Serious systems analysis, modeling, scenario development and ecosystems futures assessment for savannas is needed to avoid past mistakes in land management. Integration of measurement from field and remote sensing with multi-scale modeling is required to realize this. This paper summarizes the state of knowledge, key issues and capacity for savanna systems modeling using remote sensing. The authors contributed to a NASA workshop on remote sensing and modeling savannas.

AB - Tree-grass systems occupy nearly a quarter of the terrestrial surface (27 million km2). They face an uncertain future given pressures from land use change and climate change. Serious systems analysis, modeling, scenario development and ecosystems futures assessment for savannas is needed to avoid past mistakes in land management. Integration of measurement from field and remote sensing with multi-scale modeling is required to realize this. This paper summarizes the state of knowledge, key issues and capacity for savanna systems modeling using remote sensing. The authors contributed to a NASA workshop on remote sensing and modeling savannas.

KW - Grass

KW - Model

KW - Pattern

KW - Remote sensing

KW - Savanna

KW - Scale

KW - Structure

KW - Tree

KW - ITC-CV

M3 - Paper

AN - SCOPUS:84879776843

Y2 - 10 April 2011 through 15 April 2011

ER -

Remote sensing and modeling of savannas: The state of the dis-union

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Conference

Keywords

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