Title :
Long term monitoring of seagrass distribution in Moreton Bay, Australia, from 1972–2010 using Landsat MSS, TM, ETM+
Author :
Lyons, Mitchell B. ; Phinn, Stuart R. ; Roelfsema, Chris M.
Author_Institution :
Centre for Spatial Environ. Res., Univ. of Queensland, Brisbane, QLD, Australia
Abstract :
Seagrass ecosystems are well studied and seagrass is recognised as a vital contributor to overall ecosystem health and productivity. However, a significant gap in knowledge exists in terms of the large scale temporal and spatial dynamics of cover level and distribution of seagrass communities. Remotely sensed satellite imagery offers a means to map seagrass cover and distribution over large temporal and spatial scales. At present, no operational methods have been produced to map seagrass on large spatio-temporal scales (> 100km2). This study presents a combined per-pixel/object-based method to rapidly map seagrass cover and distribution from a full Landsat archive, from 1972-2010 (MSS, TM and ETM+), with no in-situ data and at accuracies as good or better than existing mapping methods. The products provide management agencies with a baseline assessment as well as the capacity to continue to map seagrass distribution and predict changes in the future.
Keywords :
ecology; oceanographic regions; oceanographic techniques; remote sensing; AD 1972 to 2010; Australia; ETM+ data; Landsat MSS data; Moreton Bay; TM data; ecosystem health; ecosystem productivity; long term monitoring; seagrass distribution; Accuracy; Australia; Communities; Earth; Ecosystems; Remote sensing; Satellites; Landsat; seagrass mapping; time series;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2010.5651878