N: -18.6269 S: -18.915 E: 36.3389 W: 36.1186
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Description
This data set provides high resolution canopy height estimates for mangrove forests in the Zambezi Delta, Mozambique, Africa. The estimates were derived from three separate canopy height models (CHM) using airborne Lidar data, stereophotogrammetry with WorldView 1 imagery, and Interferometric-Synthetic Aperture Radar (In-SAR) techniques with TanDEM-X imagery. The data cover the period 2011-10-14 to 2014-05-06.
Product Summary
Platforms
Airplane
,
SPACE SHUTTLES
,
WORLDVIEW-2
,
TSX
Instruments
Spatial Extent
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2011-10-14 to 2014-05-06
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C2343163771-ORNL_CLOUD
Data State
COMPLETE
Number of Files/Granules
3
Processing Level
3
Published
Updated
Science Keywords
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.
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Lagomasino, D., Fatoyinbo, L., Lee, S., Feliciano, E., Simard, M., & Trettin, C. (2016). CMS: Mangrove Canopy Height Estimates from Remote Imagery, Zambezi Delta, Mozambique (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1357 Date Accessed: 2026-04-30
Lagomasino, D., L. Fatoyinbo, S. Lee, E. Feliciano, M. Simard, and C. Trettin. “CMS: Mangrove Canopy Height Estimates from Remote Imagery, Zambezi Delta, Mozambique.” ORNL Distributed Active Archive Center, January 1, 2016. doi:10.3334/ORNLDAAC/1357. Date Accessed: 2026-04-30
Lagomasino, D., et al. CMS: Mangrove Canopy Height Estimates from Remote Imagery, Zambezi Delta, Mozambique. 1, ORNL Distributed Active Archive Center, 1 Jan. 2016, doi:10.3334/ORNLDAAC/1357. Date Accessed: 2026-04-30
TABLE OF CONTENTS
Documents
USER'S GUIDE
GENERAL DOCUMENTATION
Filters
| Title | Year Sort ascending | 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 | |
| Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery | Abolt, Charles J, E Santos, Javier, Atchley, Adam L, Wells, Lucas, Martin, Daithi, Parsons, Russell A, Linn, Rodman R | Mangroves, Digital Elevation/Terrain Model (DEM), Canopy Characteristics | |
| Mapping global mangrove canopy height by integrating Ice, Cloud, and Land Elevation Satellite-2 photon-counting LiDAR data with multi-source images | Yu, Jianan, Nie, Sheng, Liu, Wenjie, Zhu, Xiaoxiao, Sun, Zhongyi, Li, Jiatong, Wang, Cheng, Xi, Xiaohuan, Fan, Hongchao | Mangroves, Digital Elevation/Terrain Model (DEM), Canopy Characteristics | |
| Mangrove carbon stocks in Zambezi River Delta, Mozambique | Trettin, Carl C., Stringer, Christina E., Zarnoch, Stanley J., Tang, Wenwu, Dai, Zhaohua | Mangroves, Digital Elevation/Terrain Model (DEM), Canopy Characteristics |
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