Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Theoretical surface type classifier based on a waveform model of a satellite laser altimeter and its performance in the north of Greenland

Not Accessible

Your library or personal account may give you access

Abstract

Current land-cover classification methods using ICESat/GLAS’s (Ice, Cloud, and land Elevation Satellite/Geoscience Laser Altimeter System) datasets are based on empirical thresholds or machine learning by training multiple GLAS parameters, e.g., the reflectivity and elevation of the target and width, amplitude, kurtosis, and skewness of the return waveform. A theoretical classifier is derived based on a waveform model of an actual laser altimeter illuminating the sea surface. With given system parameters and the sea surface wind corresponding to the location of a laser footprint (the wind can be calculated by using the National Centers for Environmental Prediction dataset), a precise theoretical waveform can be generated as a reference. Compared with the measured waveform, a weighted total difference, which is very sensitive to small-scale sea ice within the laser footprint, can be calculated to classify the GLAS measured data as open water. In the north of Greenland, after discarding the saturated GLAS data, the new theoretical classifier performed better [overall accuracy (OA)=95.62%, Kappa coefficient=0.8959] compared to the classical support vector machine (SVM) classifier (OA=90.44%, Kappa=0.7901), but the SVM classifier showed a better result for the user’s accuracy of sea ice. Benefiting from the synergies of the theoretical and SVM classifiers, the integrated theoretical and SVM classifier achieved excellent accuracy (OA=98.21%, Kappa=0.9588). In the future, the new ICESat-2 photon counting laser altimeter will also construct a “waveform” (elevation distribution) by selecting the photon cloud, and thus, this new analytical method will be potentially useful for detecting open water in the Arctic.

© 2018 Optical Society of America

Full Article  |  PDF Article
More Like This
Waveform width of a satellite laser altimeter illuminating on the sea surface

Yue Ma, Song Li, Wenhao Zhang, Zhiyu Zhang, Hui Zhou, and Ma Xin
Appl. Opt. 56(22) 6130-6137 (2017)

Detecting the ocean surface from the raw data of the MABEL photon-counting lidar

Yue Ma, Rui Liu, Song Li, Wenhao Zhang, Fanlin Yang, and Dianpeng Su
Opt. Express 26(19) 24752-24762 (2018)

Waveform model of a laser altimeter for an elliptical Gaussian beam

Ma Yue, Wang Mingwei, Li Guoyuan, Lu Xiushan, and Yang Fanlin
Appl. Opt. 55(8) 1957-1965 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (11)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved