Photon counting LiDAR: An adaptive ground and canopy height retrieval algorithm for ICESat-2 data

The upcoming Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) mission will offer prospects for mapping and monitoring biomass and carbon of terrestrial ecosystems over large areas using photon counting LiDAR data. In this paper, we aim to develop a methodology to derive terrain elevation and veg...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Remote sensing of environment 2018-04, Vol.208, p.154-170
Hauptverfasser:	Popescu, S.C., Zhou, T., Nelson, R., Neuenschwander, A., Sheridan, R., Narine, L., Walsh, K.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Algorithms Altimeters Atoms & subatomic particles Background noise Biomass Calibration Canopies Canopy height Carbon Computer simulation Data processing Daytime Ecological monitoring Elevation Filtration Ice clouds ICESat-2 Interpolation Lidar MABEL Mapping Methodology Night Nighttime Noise Photon classification Photon counting LiDAR Photons Remote sensing Root-mean-square errors Signal processing Terrain Terrain elevation Terrestrial ecosystems Terrestrial environments Vegetation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!