Detecting Tamarisk species (Tamarix spp.) in riparian habitats of Southern California using high spatial resolution hyperspectral imagery

Yuki Hamada; Douglas A. Stow; Lloyd L. Coulter; Jim C. Jafolla; Leif W. Hendricks

doi:10.1016/j.rse.2007.01.003

Detecting Tamarisk species (Tamarix spp.) in riparian habitats of Southern California using high spatial resolution hyperspectral imagery

Remote Sensing of Environment ◽

10.1016/j.rse.2007.01.003 ◽

2007 ◽

Vol 109 (2) ◽

pp. 237-248 ◽

Cited By ~ 80

Author(s):

Yuki Hamada ◽

Douglas A. Stow ◽

Lloyd L. Coulter ◽

Jim C. Jafolla ◽

Leif W. Hendricks

Keyword(s):

Spatial Resolution ◽

Southern California ◽

High Spatial Resolution ◽

Hyperspectral Imagery ◽

Riparian Habitats ◽

Tamarix Spp

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Mapping of stream microhabitats with high spatial resolution hyperspectral imagery

Journal of Geographical Systems ◽

10.1007/s101090100079 ◽

2002 ◽

Vol 4 (1) ◽

pp. 113-126 ◽

Cited By ~ 23

Author(s):

W. Andrew Marcus

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Hyperspectral Imagery

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Use of Very High Spatial Resolution Remotely Sensed Imagery for Assessing Land‐Cover Changes in Shrub Habitat Preserves of Southern California

Geocarto International ◽

10.1080/10106040108542214 ◽

2001 ◽

Vol 16 (4) ◽

pp. 49-60 ◽

Cited By ~ 8

Author(s):

Pauline Longmire ◽

Douglas Stow

Keyword(s):

Land Cover ◽

Spatial Resolution ◽

Southern California ◽

High Spatial Resolution ◽

Remotely Sensed ◽

Land Cover Changes ◽

Remotely Sensed Imagery ◽

Very High Spatial Resolution ◽

Very High

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Generation of remotely sensed reference data using low altitude, high spatial resolution hyperspectral imagery

10.1117/12.2224126 ◽

2016 ◽

Author(s):

McKay D. Williams ◽

Jan van Aardt ◽

John P. Kerekes

Keyword(s):

Spatial Resolution ◽

Reference Data ◽

High Spatial Resolution ◽

Hyperspectral Imagery ◽

Remotely Sensed ◽

Low Altitude

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Mapping native and invasive grassland species and characterizing topography-driven species dynamics using high spatial resolution hyperspectral imagery

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2021.102542 ◽

2021 ◽

Vol 104 ◽

pp. 102542

Author(s):

Phuong D. Dao ◽

Alexander Axiotis ◽

Yuhong He

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Hyperspectral Imagery ◽

Grassland Species ◽

Species Dynamics

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Monitoring habitat preserves in southern California using high spatial resolution multispectral imagery

Environmental Monitoring and Assessment ◽

10.1007/s10661-008-0320-8 ◽

2008 ◽

Vol 152 (1-4) ◽

pp. 343-356 ◽

Cited By ~ 5

Author(s):

Lloyd L. Coulter ◽

Douglas A. Stow

Keyword(s):

Spatial Resolution ◽

Southern California ◽

High Spatial Resolution ◽

Multispectral Imagery

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Spectral Unmixing-Based Clustering of High-Spatial Resolution Hyperspectral Imagery

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

10.1109/jstars.2017.2687703 ◽

2017 ◽

Vol 10 (8) ◽

pp. 3711-3721 ◽

Cited By ~ 2

Author(s):

Eleftheria A. Mylona ◽

Olga A. Sykioti ◽

Konstantinos D. Koutroumbas ◽

Athanasios A. Rontogiannis

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Hyperspectral Imagery ◽

Spectral Unmixing

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A first assessment of the use of high spatial resolution hyperspectral imagery in discriminating among animal species, and between animals and their surroundings

Biosystems Engineering ◽

10.1016/j.biosystemseng.2009.01.005 ◽

2009 ◽

Vol 102 (4) ◽

pp. 379-384 ◽

Cited By ~ 3

Author(s):

Zachary J. Bortolot ◽

Philip E. Prater

Keyword(s):

Spatial Resolution ◽

Animal Species ◽

High Spatial Resolution ◽

Hyperspectral Imagery

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Object-based habitat mapping using very high spatial resolution multispectral and hyperspectral imagery with LiDAR data

International Journal of Applied Earth Observation and Geoinformation ◽

10.1016/j.jag.2017.03.007 ◽

2017 ◽

Vol 59 ◽

pp. 79-91 ◽

Cited By ~ 11

Author(s):

Alex Okiemute Onojeghuo ◽

Ajoke Ruth Onojeghuo

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Hyperspectral Imagery ◽

Habitat Mapping ◽

Lidar Data ◽

Object Based ◽

Very High Spatial Resolution ◽

Very High

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Improving urban land use and land cover classification from high-spatial-resolution hyperspectral imagery using contextual information

Journal of Applied Remote Sensing ◽

10.1117/1.3491192 ◽

2010 ◽

Vol 4 (1) ◽

pp. 041890 ◽

Cited By ~ 16

Author(s):

He Yang

Keyword(s):

Land Use ◽

Land Cover ◽

Spatial Resolution ◽

High Spatial Resolution ◽

Hyperspectral Imagery ◽

Contextual Information ◽

Land Cover Classification ◽

Urban Land ◽

Urban Land Use

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Decision fusion for classifying hyperspectral imagery with high spatial resolution

SPIE Newsroom ◽

10.1117/2.1200908.1733 ◽

2009 ◽

Cited By ~ 3

Author(s):

Qian Du

Keyword(s):

Spatial Resolution ◽

High Spatial Resolution ◽

Hyperspectral Imagery ◽

Decision Fusion

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