Results 91 to 100 of about 1,498 (175)

Estimating effective pressures in active subglacial lakes with ICESat-2 satellite altimetry. [PDF]

J Glaciol
Stubblefield A, Sommers AN, Meyer C, Andrews LC.   +3 more
europepmc   +1 more source

Estimation of above-ground carbon stock of <i>Dendrocalamus giganteus</i> using ANUSPLIN-interpolated GEDI and ICESat-2/ATLAS parameters. [PDF]

Front Plant Sci
Yang H, Qin Z, Li S, Shu Q, Wang M, Zhang Y, Li Z.   +6 more
europepmc   +1 more source

Regional-scale forest aboveground biomass mapping using temporally consistent ICESat-2, Landsat, and field inventory data. [PDF]

PLoS One
Tiwari K, Narine LL, Maggard A, Daniel M, Gallagher T, Fan Z, Singh B, Sandamali J.   +7 more
europepmc   +1 more source

Global 30-m annual median vegetation height maps (2000-2022) based on ICESat-2 data and Machine Learning. [PDF]

Sci Data
Hunter MO, Parente L, Ho YF, Bonannella C, Guimarães Ferreira L, Morton D, Consoli D, Sloat L.   +7 more
europepmc   +1 more source

A spatially comprehensive canopy cover dataset derived from NASA's ice, cloud and land elevation satellite-2 (ICESat-2) for the state of Alabama, USA. [PDF]

Data Brief
Narine LL, Johnson B.
europepmc   +1 more source

3D-LAKES: Three-Dimensional Global Lake and Reservoir Bathymetry from ICESat-2 Altimetry and Landsat Imagery. [PDF]

Sci Data
Huang CH, Zhang S, Shah D, Yadav A, Li Y, Zhao G, Gao H.   +6 more
europepmc   +1 more source

Narrowing the gap for city building height predictions. [PDF]

Sci Rep
Watson CS, Elliott JR.
europepmc   +1 more source

Advancing terrestrial laser scanning for 3D classification of Spanish moss (Tillandsia usneoides L.) using unsupervised, machine learning, and deep learning methods. [PDF]

Sci Rep
Gaskins AJ, Xia J, Bueno IT, Silva CA.
europepmc   +1 more source

Characterisation of water and vegetation from ICESAT

, 2009
La caractérisation de la végétation et de l‟eau dans la surface est une des tâches fondamentales pour les scientifiques, car son étude nous révèle les changements qui se produisent à cause de différents facteurs. Tout au long des années, les différentes communautés scientifiques ont développé des applications et des outils pour approfondir sa ...
openaire   +1 more source

Predicting mean depth and area fraction of Antarctic supraglacial melt lakes with physics-based parameterizations. [PDF]

Nat Commun
Grau D, Hussain A, Robel AA.
europepmc   +1 more source