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Critical Reviews in Environmental Science and Technology Volume 41, 2011 - Issue sup1
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Original Articles

Remote Sensing of Vegetation Pattern and Condition to Monitor Changes in Everglades Biogeochemistry

John W. Jones Eastern Geographic Science Center, U.S. Geological Survey, Reston, VA, USA
Pages 64-91 | Published online: 19 Feb 2011

Citations (14)

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Read on this site (2)

Faith K. Muriithi, Danlin Yu & Stefan Robila. (2016) Vegetation response to intensive commercial horticulture and environmental changes within watersheds in central highlands, Kenya, using AVHRR NDVI data. GIScience & Remote Sensing 53:1, pages 1-21.
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Caiyun Zhang & Zhixiao Xie. (2014) Data fusion and classifier ensemble techniques for vegetation mapping in the coastal Everglades. Geocarto International 29:3, pages 228-243.
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Articles from other publishers (12)

Jennifer C. Rowe, Adam Duarte, Christopher A. Pearl, Brome McCreary, Patricia K. Haggerty, John W. Jones & Michael J. Adams. (2021) Demography of the Oregon spotted frog along a hydrologically modified river. Ecosphere 12:6.
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Jing Yuan & Matthew J. Cohen. (2020) Remote detection of ecosystem degradation in the Everglades ridge-slough landscape. Remote Sensing of Environment 247, pages 111917.
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John Jones. (2019) Improved Automated Detection of Subpixel-Scale Inundation—Revised Dynamic Surface Water Extent (DSWE) Partial Surface Water Tests. Remote Sensing 11:4, pages 374.
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Caiyun Zhang, Molly Smith, Jie Lv & Chaoyang Fang. (2017) Applying time series Landsat data for vegetation change analysis in the Florida Everglades Water Conservation Area 2A during 1996–2016. International Journal of Applied Earth Observation and Geoinformation 57, pages 214-223.
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Caiyun Zhang, Donna Selch & Hannah Cooper. (2015) A Framework to Combine Three Remotely Sensed Data Sources for Vegetation Mapping in the Central Florida Everglades. Wetlands 36:2, pages 201-213.
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John Jones. (2015) Efficient Wetland Surface Water Detection and Monitoring via Landsat: Comparison with in situ Data from the Everglades Depth Estimation Network. Remote Sensing 7:9, pages 12503-12538.
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Caiyun Zhang. (2014) Combining Hyperspectral and Lidar Data for Vegetation Mapping in the Florida Everglades. Photogrammetric Engineering & Remote Sensing 80:8, pages 733-743.
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Jin-Woo Kim, Zhong Lu, John W. Jones, C.K. Shum, Hyongki Lee & Yuanyuan Jia. (2014) Monitoring Everglades freshwater marsh water level using L-band synthetic aperture radar backscatter. Remote Sensing of Environment 150, pages 66-81.
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John W. Jones, Annette E. Hall, Ann M. Foster & Thomas J. Smith. (2013) Wetland Fire Scar Monitoring and Analysis Using Archival Landsat Data for the Everglades. Fire Ecology 9:1, pages 133-150.
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Caiyun Zhang & Zhixiao Xie. (2013) Object-based Vegetation Mapping in the Kissimmee River Watershed Using HyMap Data and Machine Learning Techniques. Wetlands 33:2, pages 233-244.
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Caiyun Zhang & Zhixiao Xie. (2012) Combining object-based texture measures with a neural network for vegetation mapping in the Everglades from hyperspectral imagery. Remote Sensing of Environment 124, pages 310-320.
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J. Adam Langley & J. Patrick Megonigal. (2012) Field-Based Radiometry to Estimate Tidal Marsh Plant Growth in Response to Elevated CO2 and Nitrogen Addition. Wetlands 32:3, pages 571-578.
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