Terrestrial and Submerged Aquatic Vegetation Mapping in Fire Island National Seashore Using High Spatial Resolution Remote Sensing Data

Wang, Yeqiao; Traber, Michael; Milstead, Bryan; Stevens, Sara

doi:10.1080/01490410701296226

Cited by 29 publications

(10 citation statements)

References 12 publications

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“…It has been imaging the Earth for over a decade with four multispectral bands at 2.4 m spatial resolution and a panchromatic band at 0.65 m. QB was selected for this study because of the high spatial resolution and proven usefulness in vegetation mapping, including coastal and wetland classification [10,17,[19][20][21][22]. However, QB lacks adequate spectral resolution to map species-specific marsh vegetation but is useful in areas that are unaltered by human activity [17].…”

Section: Quickbird and Ikonos Satellite Imagerymentioning

confidence: 99%

Habitat Mapping and Change Assessment of Coastal Environments: An Examination of WorldView-2, QuickBird, and IKONOS Satellite Imagery and Airborne LiDAR for Mapping Barrier Island Habitats

McCarthy

Halls

2014

IJGI

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Abstract:Habitat mapping can be accomplished using many techniques and types of data. There are pros and cons for each technique and dataset, therefore, the goal of this project was to investigate the capabilities of new satellite sensor technology and to assess map accuracy for a variety of image classification techniques based on hundreds of field-work sites. The study area was Masonboro Island, an undeveloped area in coastal North Carolina, USA. Using the best map results, a habitat change assessment was conducted between 2002 and 2010. WorldView-2, QuickBird, and IKONOS satellite sensors were tested using unsupervised and supervised methods using a variety of spectral band combinations. Light Detection and Ranging (LiDAR) elevation and texture data pan-sharpening, and spatial filtering were also tested. In total, 200 maps were generated and results indicated that WorldView-2 was consistently more accurate than QuickBird and IKONOS. Supervised maps were more accurate than unsupervised in 80% of the maps. Pan-sharpening the images did not consistently improve map accuracy but using a majority filter generally increased map accuracy. During the relatively short eight-year period, 20% of the coastal study area changed with intertidal marsh experiencing the most change. Smaller habitat classes changed substantially as well. For example, 84% of upland scrub-shrub experienced change. These results document the dynamic nature of coastal habitats, validate the use of the relatively new Worldview-2 sensor, and may be used to guide future coastal habitat mapping.

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Section: Quickbird and Ikonos Satellite Imagerymentioning

confidence: 99%

Habitat Mapping and Change Assessment of Coastal Environments: An Examination of WorldView-2, QuickBird, and IKONOS Satellite Imagery and Airborne LiDAR for Mapping Barrier Island Habitats

McCarthy

Halls

2014

IJGI

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“…The categories include broad-leaf forest, needle-and broad-leaf mixed forest; dark coniferous forest, bright coniferous forest, subalpine birch forest, tundra, barren and volcanic rock, water and volcanic lake, agricultural land, urban and developed land. We then employed the stratified classification [36,37] using SRTM-derived elevation and slope/aspect as the control to extract forest types within each of the vertical zones. We paid special attention to the dominant and representative species in different vertical zones and in different slopes and aspects.…”

Section: A Remote Sensing Data and The Analysismentioning

confidence: 99%

Examining effects of past volcanic eruptions on forests of the Changbai Mountain with in situ and remote sensing observations

Liang

Wang

2009

2009 17th International Conference on Geoinformatics

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In this study we employed intensive field investigation augmented by remote sensing data to reveal the impacts of past volcanic eruptions on spatial distribution and succession status of forest ecosystems in the Changbai Mountain Natural Reserve (CMNR). We processed the time series Landsat multispectral and IKONOS high spatial resolution imagery data to map forest types and spatial distributions. We obtained slope/aspect/elevation information from SRTM digital elevation model data. The SRTM and derivative topography information provide guidance and reference to differentiate vertical vegetation zones in the core area of the CMNR. We focused more on the spruce-fir forests and the very unique and representative sub-alpine birch (Betula ermanii) forests. The trend of B. ermanii colonizing into tundra zone and the species changes within and between vegetation zones indicate that the forest ecosystems within the CMNR are in different stages of succession after historical volcanic disturbances. Vegetation maps derived from remote sensing data confirmed the variations of forests and help gain insights for understanding the spatial and temporal characteristics of the forest ecosystems and the biodiversity that the ecosystems support in such a unique geographical region.

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“…Hyperspectral remote sensing provides promising approaches in the monitoring of global tidal wetlands [47][48][49]. High spatial resolution satellite data have been effectively applied in water and wetland mapping and change analysis [50][51][52][53][54]. Sentinel satellites have demonstrated enhanced capacities in the monitoring of changing water and wetland environments, in recent years [55][56][57][58][59][60].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing of Floodpath Lakes and Wetlands: A Challenging Frontier in the Monitoring of Changing Environments

Wang

2018

Remote Sensing

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Monitoring of changing lake and wetland environments has long been among the primary focus of scientific investigation, technology innovation, management practice, and decision-making analysis. Floodpath lakes and wetlands are the lakes and associated wetlands affected by seasonal variations of water level and water surface area. Floodpath lakes and wetlands are, in particular, sensitive to natural and anthropogenic impacts, such as climate change, human-induced intervention on hydrological regimes, and land use and land cover change. Rapid developments of remote sensing science and technologies, provide immense opportunities and capacities to improve our understanding of the changing lake and wetland environments. This special issue on Remote Sensing of Floodpath Lakes and Wetlands comprise featured articles reporting the latest innovative research and reflects the advancement in remote sensing applications on the theme topic. In this editorial paper, we review research developments using state-of-the-art remote sensing technologies for monitoring dynamics of floodpath lakes and wetlands; discuss challenges of remote sensing in inventory, monitoring, management, and governance of floodpath lakes and wetlands; and summarize the highlights of the articles published in this special issue.

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Terrestrial and Submerged Aquatic Vegetation Mapping in Fire Island National Seashore Using High Spatial Resolution Remote Sensing Data

Cited by 29 publications

References 12 publications

Habitat Mapping and Change Assessment of Coastal Environments: An Examination of WorldView-2, QuickBird, and IKONOS Satellite Imagery and Airborne LiDAR for Mapping Barrier Island Habitats

Habitat Mapping and Change Assessment of Coastal Environments: An Examination of WorldView-2, QuickBird, and IKONOS Satellite Imagery and Airborne LiDAR for Mapping Barrier Island Habitats

Examining effects of past volcanic eruptions on forests of the Changbai Mountain with in situ and remote sensing observations

Remote Sensing of Floodpath Lakes and Wetlands: A Challenging Frontier in the Monitoring of Changing Environments

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