Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
Predicting the risk of flooding in coastal environments relies on accurate land elevation data, but this is not available in many parts of the world. Here the authors apply a global lowland digital terrain model derived from satellite LiDAR and determine that the regions most vulnerable to sea-level...
Guardado en:
Autores principales: | A. Hooijer, R. Vernimmen |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/105e242e9c074e9e91319d2d06848ede |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Comparing LiDAR and SfM digital surface models for three land cover types
por: Liao Jianghua, et al.
Publicado: (2021) -
An Algorithm for Fitting Sphere Target of Terrestrial LiDAR
por: Yintao Shi, et al.
Publicado: (2021) -
LiDAR DTM: artifacts, and correction for river altitudes
por: Jean-François Parrot, et al.
Publicado: (2016) -
Estimating Historically Cleared and Forested Land in Massachusetts, USA, Using Airborne LiDAR and Archival Records
por: Katharine M. Johnson, et al.
Publicado: (2021) -
Performance of Mobile LiDAR in Real Road Driving Conditions
por: Jisoo Kim, et al.
Publicado: (2021)