Urban Vegetation Mapping from Fused Hyperspectral Image and LiDAR Data with Application to Monitor Urban Tree Heights

Journal of Geographic Information System

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ISSN Online: 2151-1969
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"Urban Vegetation Mapping from Fused Hyperspectral Image and LiDAR Data with Application to Monitor Urban Tree Heights"
written by Fatwa Ramdani,
published by Journal of Geographic Information System, Vol.5 No.4, 2013

has been cited by the following article(s):

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[2]	Recursive Feature Elimination and Random Forest Classification of Natura 2000 Grasslands in Lowland River Valleys of Poland Based on Airborne Hyperspectral and LiDAR Data Fusion Remote Sensing, 2020 DOI:10.3390/rs12111842

[3]	Coastal Sand Dunes Monitoring by Low Vegetation Cover Classification and Digital Elevation Model Improvement Using Synchronized Hyperspectral and Full-Waveform LiDAR Remote Sensing Remote Sensing, 2020 DOI:10.3390/rs13010029

[4]	Analysis of the application of an advanced classifier algorithm to ultra-high resolution unmanned aerial aircraft imagery – a neural network approach International Journal of Remote Sensing, 2019 DOI:10.1080/01431161.2019.1688413

[5]	Characterization of myofibrils cold structural deformation degrees of frozen pork using hyperspectral imaging coupled with spectral angle mapping algorithm Food Chemistry, 2018 DOI:10.1016/j.foodchem.2017.07.011

[6]	Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach ISPRS Journal of Photogrammetry and Remote Sensing, 2018 DOI:10.1016/j.isprsjprs.2018.09.016

[7]	Performance evaluation of urban areas Land Use classification from Hyperspectral data by using Mahalanobis classifier 2017 11th International Conference on Intelligent Systems and Control (ISCO), 2017 DOI:10.1109/ISCO.2017.7856023

[8]	GeoEye Image Fusion Vegetation Information Extraction Based on Blue Noise Measurement Texture IOP Conference Series: Earth and Environmental Science, 2017 DOI:10.1088/1755-1315/67/1/012007

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[10]	The Extraction of Vegetation Points from LiDAR Using 3D Fractal Dimension Analyses Remote Sensing, 2015 DOI:10.3390/rs70810815

[11]	Estimating Vegetation Fraction Using Hyperspectral Pixel Unmixing Method: A Case Study of a Karst Area in China IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014 DOI:10.1109/JSTARS.2014.2361253

[12]	Assessing urban tree carbon storage and sequestration in Bolzano, Italy International Journal of Biodiversity Science, Ecosystem Services & Management, 2014 DOI:10.1080/21513732.2013.873822

[13]	Extraction of multilayer vegetation coverage using airborne LiDAR discrete points with intensity information in urban areas: A case study in Nanjing City, China International Journal of Applied Earth Observation and Geoinformation, 2014 DOI:10.1016/j.jag.2014.01.016

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