Mapping Aquatic Vegetation in a Tropical Wetland Using High Spatial Resolution Multispectral Satellite Imagery

Timothy Whiteside; Renée Bartolo

doi:10.3390/rs70911664

Mapping Aquatic Vegetation in a Tropical Wetland Using High Spatial Resolution Multispectral Satellite Imagery

Remote Sensing ◽

10.3390/rs70911664 ◽

2015 ◽

Vol 7 (9) ◽

pp. 11664-11694 ◽

Cited By ~ 25

Author(s):

Timothy Whiteside ◽

Renée Bartolo

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

Aquatic Vegetation ◽

High Spatial Resolution ◽

Multispectral Satellite Imagery

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Integrating field data with high spatial resolution multispectral satellite imagery for calibration and validation of coral reef benthic community maps

Journal of Applied Remote Sensing ◽

10.1117/1.3430107 ◽

2010 ◽

Vol 4 (1) ◽

pp. 043527 ◽

Cited By ~ 57

Author(s):

Chris Roelfsema

Keyword(s):

Coral Reef ◽

Spatial Resolution ◽

Satellite Imagery ◽

Benthic Community ◽

Field Data ◽

High Spatial Resolution ◽

Calibration And Validation ◽

Multispectral Satellite Imagery

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Bathymetric Retrieval Selectively Using Multi-Angular High-Spatial-Resolution Satellite Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ◽

10.1109/jstars.2020.3040186 ◽

2020 ◽

pp. 1-1

Author(s):

Bin Cao ◽

Ruru Deng ◽

Shulong Zhu ◽

Yongming Liu ◽

Yeheng Liang ◽

...

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

High Spatial Resolution

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Feature assessment in object-based forest classification using airborne LiDAR data and high spatial resolution satellite imagery

2014 Third International Workshop on Earth Observation and Remote Sensing Applications (EORSA) ◽

10.1109/eorsa.2014.6927920 ◽

2014 ◽

Author(s):

Zhenyu Zhang ◽

Xiaoye Liu ◽

Wendy Wright

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

High Spatial Resolution ◽

Airborne Lidar ◽

Lidar Data ◽

Forest Classification ◽

Object Based ◽

Airborne Lidar Data

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Satellite imagery of lengthy territories with complex configuration with the account of attitude and positioning errors

E3S Web of Conferences ◽

10.1051/e3sconf/20197501013 ◽

2019 ◽

Vol 75 ◽

pp. 01013

Author(s):

Dmitriy Mozgovoy ◽

Dmitriy Svinarenko ◽

Roman Tsarev ◽

Tatiana Yamskikh

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

High Spatial Resolution ◽

Program Control ◽

Complex Configuration ◽

Positioning Errors ◽

Satellite Attitude ◽

The Impact

A method for monitoring attitude and positioning errors when taking satellite imagery of lengthy territories with complex configuration using an ultra-high spatial resolution optical-electronic scanner is described in the article. The results of modeling the system of automatic satellite attitude program control during the process of imagery are presented. Given these results, the impact of attitude and positioning errors during satellite imagery was estimated on the coverage percentage of the territory to be imaged.

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

Marine Geodesy ◽

10.1080/01490410701296226 ◽

2007 ◽

Vol 30 (1-2) ◽

pp. 77-95 ◽

Cited By ~ 20

Author(s):

Yeqiao Wang ◽

Michael Traber ◽

Bryan Milstead ◽

Sara Stevens

Keyword(s):

Remote Sensing ◽

Spatial Resolution ◽

Submerged Aquatic Vegetation ◽

Aquatic Vegetation ◽

High Spatial Resolution ◽

Remote Sensing Data ◽

Vegetation Mapping ◽

Sensing Data ◽

Fire Island ◽

In Fire

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Coastal wetland classification with multiseasonal high-spatial resolution satellite imagery

International Journal of Remote Sensing ◽

10.1080/01431161.2018.1500731 ◽

2018 ◽

Vol 39 (23) ◽

pp. 8963-8983 ◽

Cited By ~ 10

Author(s):

Nan Li ◽

Dengsheng Lu ◽

Ming Wu ◽

Yinlong Zhang ◽

Linying Lu

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

Coastal Wetland ◽

High Spatial Resolution ◽

Wetland Classification

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Evaluating MODIS soil fractional cover for arid regions, using albedo from high-spatial resolution satellite imagery

International Journal of Remote Sensing ◽

10.1080/01431161.2014.885150 ◽

2014 ◽

Vol 35 (6) ◽

pp. 2028-2046 ◽

Cited By ~ 8

Author(s):

E.F. Lawley ◽

M.M. Lewis ◽

B. Ostendorf

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

Arid Regions ◽

High Spatial Resolution ◽

Fractional Cover

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Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling

International Journal of Remote Sensing ◽

10.1080/01431161.2018.1524176 ◽

2018 ◽

Vol 40 (3) ◽

pp. 1175-1199 ◽

Cited By ~ 7

Author(s):

Aleksi Räsänen ◽

Sari Juutinen ◽

Mika Aurela ◽

Tarmo Virtanen

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

Aboveground Biomass ◽

High Spatial Resolution ◽

Field Sampling ◽

Very High Spatial Resolution ◽

Very High

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Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem

Remote Sensing of Environment ◽

10.1016/j.rse.2017.01.016 ◽

2017 ◽

Vol 191 ◽

pp. 95-109 ◽

Cited By ~ 43

Author(s):

Ran Meng ◽

Jin Wu ◽

Kathy L. Schwager ◽

Feng Zhao ◽

Philip E. Dennison ◽

...

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

High Spatial Resolution ◽

Spatial Scales ◽

Burn Severity ◽

Pine Barrens

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High-spatial resolution multispectral and panchromatic satellite imagery for mapping perennial desert plants

10.1117/12.2194643 ◽

2015 ◽

Cited By ~ 4

Author(s):

Saad A. Alsharrah ◽

David A. Bruce ◽

Rachid Bouabid ◽

Sekhar Somenahalli ◽

Paul A. Corcoran

Keyword(s):

Spatial Resolution ◽

Satellite Imagery ◽

High Spatial Resolution ◽

Desert Plants

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