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Description

This data set provides high-resolution LiDAR point cloud data collected during surveys over mangrove forests in the Zambezi River Delta in Mozambique in May 2014. The data are arranged into 144 1- by 1-km tiles.

Product Summary

Platforms
Airplane
Instruments
AIRBORNE LASER SCANNER
Projects
CMS
Spatial Extent

N: -18.7928 S: -18.893 E: 36.2918 W: 36.1495

Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2014-05-05 to 2014-05-05
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C2389102262-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
145
Processing Level
1B
Published
Updated
Science Keywords
Coastal ,
Forest Composition/Vegetation Structure ,
Mangroves ,
Canopy Characteristics ,
Terrain Elevation ,
Lidar

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Fatoyinbo, L., & Trettin, C. (2017). CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1521 Date Accessed: 2026-09-12

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Publications Citing This Dataset

Filters
Title Year Author Topic
Evaluating and comparing the performance of ICESat-2 and GEDI data for estimating aboveground biomass in mangroves Yu, Jianan, Nie, Sheng, Liu, Wenjie, Sun, Zhongyi, Wang, Cheng, Xi, Xiaohuan, Zhu, Xiaoxiao, Fang, Mengyang Mangroves, Digital Elevation/Terrain Model (DEM), Canopy Characteristics, Coastal, Forest Composition/Vegetation Structure, Terrain Elevation, Lidar
Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta Fatoyinbo, Temilola, Feliciano, Emanuelle A, Lagomasino, David, Lee, Seung Kuk, Trettin, Carl Coastal, Forest Composition/Vegetation Structure, Mangroves, Canopy Characteristics, Terrain Elevation, Lidar, Biomass
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