Integrating environmental and in situ hyperspectral remote sensing variables for grass nitrogen estimation in savannah ecosystems

A. Ramoelo, M. Cho, R. Mathieu, A. K. Skidmore, M. Schlerf, I. M. A. Heitkonig, H. H. T. Prins

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

Information about the distribution of grass nitrogen (N) concentration is crucial in understanding rangeland vitality and facilitates effective management of wildlife and livestock. A challenge in estimating grass N concentration using remote sensing in savannah ecosystems is that these areas are characterised by heterogeneity in edaphic, topographic and climatic factors. The objective is to test the utility of integrating environmental variables and in situ hyperspectral remote sensing variables for predicting grass N concentration along a land use gradient in the greater Kruger National Park. Data used include i) environmental variables, ii) measured grass N concentration and iii) in situ measured hyperspectral spectra. Non-linear partial least square regression was used. Results showed that several environmental variables were important for N estimation. Integrating environmental variables with in situ hyperspectral variables increased grass N estimation accuracy. The study demonstrated the importance of integrated modelling for savannah ecosystem state assessment.

Original languageEnglish
Title of host publication34th International Symposium on Remote Sensing of Environment (ISRSE)
Subtitle of host publicationThe GEOSS Era : Towards Operational Environmental Monitoring : proceedings
Place of PublicationTucson, Arizona
PublisherInternational Symposium on Remote Sensing of Environment
Number of pages4
Publication statusPublished - 2011
Externally publishedYes
Event34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia
Duration: 10 Apr 201115 Apr 2011

Conference

Conference34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
CountryAustralia
CitySydney, NSW
Period10/04/1115/04/11

Keywords

  • Hyperspectral
  • Savannah ecosystem
  • Resources
  • Foliar nitrogen concentration

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    Ramoelo, A., Cho, M., Mathieu, R., Skidmore, A. K., Schlerf, M., Heitkonig, I. M. A., & Prins, H. H. T. (2011). Integrating environmental and in situ hyperspectral remote sensing variables for grass nitrogen estimation in savannah ecosystems. In 34th International Symposium on Remote Sensing of Environment (ISRSE): The GEOSS Era : Towards Operational Environmental Monitoring : proceedings Tucson, Arizona: International Symposium on Remote Sensing of Environment.