ESTIMATION OF REGIONAL FOREST ABOVEGROUND BIOMASS COMBINING ICESAT-GLAS WAVEFORMS AND HJ-1A/HSI HYPERSPECTRAL IMAGERIES
نویسندگان
چکیده
منابع مشابه
National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China
Forest aboveground biomass (AGB) was mapped throughout China using large footprint LiDAR waveform data from the Geoscience Laser Altimeter System (GLAS) onboard NASA’s Ice, Cloud, and land Elevation Satellite (ICESat), Moderate Resolution Imaging Spectro-radiometer (MODIS) imagery and forest inventory data. The entire land of China was divided into seven zones according to the geographic charac...
متن کاملEstimates of forest canopy height and aboveground biomass using ICESat
[1] Exchange of carbon between forests and the atmosphere is a vital component of the global carbon cycle. Satellite laser altimetry has a unique capability for estimating forest canopy height, which has a direct and increasingly well understood relationship to aboveground carbon storage. While the Geoscience Laser Altimeter System (GLAS) onboard the Ice, Cloud and land Elevation Satellite (ICE...
متن کاملSlope Estimation from ICESat/GLAS
1 Department of Geography, College of Science, Swansea University, Singleton Park, Swansea, SA28PP, UK; E-mails: [email protected] (N.K.); [email protected] (S.O.L.); [email protected] (P.R.J.N.); [email protected] (J.A.B.R.) 2 Centre for Studies of Carbon Cycle and Climate Interactions (LUCCI), Department of Physical Geography and Ecosystem Science, Lund University, Lund,...
متن کاملEstimation of Forest Canopy Height and Aboveground Biomass from Spaceborne LiDAR and Landsat Imageries in Maryland
Mapping the regional distribution of forest canopy height and aboveground biomass is worthwhile and necessary for estimating the carbon stocks on Earth and assessing the terrestrial carbon flux. In this study, we produced maps of forest canopy height and the aboveground biomass at a 30 m spatial resolution in Maryland by combining Geoscience Laser Altimeter System (GLAS) data and Landsat spectr...
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ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2016
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xli-b7-731-2016