Analysing biomass fluctuations in Mitchell grassland, Australia, in wet and dry rainy months using MODIS data
Paper
Paper/Presentation Title | Analysing biomass fluctuations in Mitchell grassland, Australia, in wet and dry rainy months using MODIS data |
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Quantifying biomass changes in Mitchell grassland using MODIS imagery and precipitation events | |
Presentation Type | Paper |
Authors | Perera, Kithsiri (Author) and Apan, Armando (Author) |
Editors | Ostendorf, Bertram, Baldock, Penny, Bruce, David, Burdett, Michael and Corcoran, Paul |
Journal or Proceedings Title | Proceedings of the 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009) |
Number of Pages | 10 |
Year | 2009 |
Place of Publication | Adelaide, Australia |
ISBN | 9780958136686 |
Web Address (URL) of Paper | http://www.researchgate.net/publication/228430791_Analysing_biomass_fluctuations_in_Mitchell_grassland_Australia_in_wet_and_dry_rainy_months_using_MODIS_data |
Conference/Event | 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009): Spatial Diversity |
Event Details | 2009 Surveying and Spatial Sciences Institute Biennial International Conference (SSC 2009): Spatial Diversity Parent Surveying and Spatial Sciences Institute Biennial International Conference Event Date 28 Sep 2009 to end of 02 Oct 2009 Event Location Adelaide, Australia |
Abstract | The variation in grassland greenery in rainy months is a critical factor for the large farming community in Queensland, Australia. This study examined the changes in plant biomass due to fluctuations in total rainfall during the wet season on Mitchell Grassland in north central Queensland, using MODIS imagery and precipitation records of extreme events. Though NDVI is a well documented tool to observe grassland greenness, its behaviour for fluctuating wet season is worth to analyse. The present research focused on generating descriptive statistics of NDVI values, analysis of profile transects, and pixel-based image differencing of the two extreme rainfall conditions; extremely high and low November to January rainy months. The results indicated that MODIS NDVI data have captured the variation and spatial distribution of green biomass of Mitchell grassland under these two extreme precipitation events. Also the results of the study showed efficient use of NDVI to estimate the greenness or health of the grassland. The approach has a potential to use as a monitoring tool to assess the quality of the grassland, which is important for farming activities of the region. However, further works are needed to study biomass conditions under intermediate precipitation events and over larger area to efficiently link rainfall amounts with NDVI values. |
Keywords | Mitchell grassland; MODIS; NDVI |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
410401. Conservation and biodiversity | |
410404. Environmental management | |
Public Notes | Title in the program differs from this final version. |
This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. | |
Byline Affiliations | Australian Centre for Sustainable Catchments |
https://research.usq.edu.au/item/9z650/analysing-biomass-fluctuations-in-mitchell-grassland-australia-in-wet-and-dry-rainy-months-using-modis-data
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