This work developed an object-based remote sensing approach to map land cover and seagrass distribution in an Australian coastal environment for a 38 year Landsat image time-series archive (1972-2010). Landsat Multi-Spectral Scanner (MSS), Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+) imagery were used without in situ field data input (but still using field knowledge) to produce land and seagrass cover maps every year data were available, resulting in over 60 map products over the 38 year archive
Seagrass beds are highly productive ecosystems and a decline in this habitat has become a global con...
Seagrass presence in waterways across the world is an integral part of a healthy aquatic environment...
In the event of a natural or anthropogenic disturbance, environmental resource managers require a re...
Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are ...
Long term global archives of moderate spatial resolution, multi-spectral imagery are now readily acc...
Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are ...
Creating accurate maps of seagrass cover is a challenging procedure in coastal waters with variable ...
The spatial and temporal dynamics of seagrasses have been well studied at the leaf to patch scales, ...
The spatial and temporal dynamics of seagrasses have been studied from the leaf to patch (100 m**2) ...
The spatial and temporal dynamics of seagrasses have been well studied at the leaf to patch scales, ...
A supervised classification was applied to a Landsat TM5 image. This image was acquired 9:40 am, on ...
The aim of this study was to create a seagrass presence/absence map for the optically complex waters...
Approximately 18,400 km**2 of seagrass habitat has been mapped within the coastal waters (<15 m) of ...
This study assessed recently launched multispectral sensors to map seagrass properties for a similar...
This paper describes seagrass species and percentage cover point-based field data sets derived from ...
Seagrass beds are highly productive ecosystems and a decline in this habitat has become a global con...
Seagrass presence in waterways across the world is an integral part of a healthy aquatic environment...
In the event of a natural or anthropogenic disturbance, environmental resource managers require a re...
Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are ...
Long term global archives of moderate spatial resolution, multi-spectral imagery are now readily acc...
Long term global archives of high-moderate spatial resolution, multi-spectral satellite imagery are ...
Creating accurate maps of seagrass cover is a challenging procedure in coastal waters with variable ...
The spatial and temporal dynamics of seagrasses have been well studied at the leaf to patch scales, ...
The spatial and temporal dynamics of seagrasses have been studied from the leaf to patch (100 m**2) ...
The spatial and temporal dynamics of seagrasses have been well studied at the leaf to patch scales, ...
A supervised classification was applied to a Landsat TM5 image. This image was acquired 9:40 am, on ...
The aim of this study was to create a seagrass presence/absence map for the optically complex waters...
Approximately 18,400 km**2 of seagrass habitat has been mapped within the coastal waters (<15 m) of ...
This study assessed recently launched multispectral sensors to map seagrass properties for a similar...
This paper describes seagrass species and percentage cover point-based field data sets derived from ...
Seagrass beds are highly productive ecosystems and a decline in this habitat has become a global con...
Seagrass presence in waterways across the world is an integral part of a healthy aquatic environment...
In the event of a natural or anthropogenic disturbance, environmental resource managers require a re...