Fatoyinbo (CMS 2014) Project Profile   (updated 26-Jul-2022)
Project Title:Total Carbon Estimation in African Mangroves and Coastal Wetlands in Preparation for REDD and Blue Carbon Credits

Science Team
Members:

Temilola (Lola) Fatoyinbo, NASA GSFC (Project Lead)
David Lagomasino, East Carolina University

Project Duration: 2014 - 2018
Solicitation:NASA: Carbon Monitoring System (2014)
Successor Projects: Fatoyinbo (CMS 2016)  
Abstract: Coastal Blue Carbon ecosystems such as mangroves, salt marshes and seagrass beds have the highest total carbon densities of all ecosystems. Although they only represent 3% of the total forest area, carbon emissions from mangrove destruction at current rates could be equivalent to 10% of carbon emissions from deforestation. The high carbon sequestration coupled with the high risk of destruction make mangroves a prime candidate for carbon mitigation initiatives such as the United Nations Collaborative Programme on Reducing Emissions from Deforestation and Degradation in Developing Countries (UN-REDD and REDD+). In mangroves especially, the extreme difficulty of the terrain has hindered the establishment of sufficient field plots needed to accurately measure carbon on the scale necessary to relate remotely sensed measurements with field measurements at accuracies of 10% to 20% as required for Monitoring, Reporting and Verification (MRV) activities. Furthermore, there is a large gap in knowledge in African mangrove ecosystems. We propose to develop a Mangrove Total Carbon Monitoring system in Gabon, Tanzania and Mozambique, three countries that are investing heavily in scientific and logistical aspects of developing MRV systems, through cooperation of the local governments and scientific institutions with international organizations such as the WWF, the UN-REDD programme, USAID, SilvaCarbon and Global Earth Observations-Forest Carbon Tracking (GEO-FCT). In Mozambique and Tanzania, The East Africa Carbon Mangrove Project was recently initiated by the US Forest Service on behalf of USAID to address carbon cycle issues relative to mangroves. The Zambezi River delta in Mozambique has been selected by WWF Mozambique and implemented by the US Forest Service as a baseline study on carbon stocks in mangroves to provide the basis for inclusion of mangroves in the Mozambique national REDD+ strategy. Through its strategic plan, Le Gabon Emergent, the Government of Gabon has committed to pursue sustainable development and a Gabon Forest Carbon Assessment has been initialized across the country. As part of these 3 initiatives there will be airborne lidar data acquired and made available in mangrove sites in all three countries. We will use a suite of commercial off-the-shelf datasets to estimate forest biomass, extend and cover change over time, including airborne LiDAR, Synthetic Aperture Radar (SAR) and Very High Resolution optical (VHR). Our proposed methodology takes into account that most MRV systems require repeated measurements of carbon stocks and acquiring airborne lidar data on a regular timeframe is costly and impractical. Thus we propose to use commercial spaceborne data from optical sensors as well as Synthetic Aperture Radar (SAR) missions. We will to use the most advanced 3-D remote sensing technology - Polarimetric Interferometric SAR or Pol-InSAR - as an operational technology that can augment, or even replace, costly acquisitions of Lidar data for MRV activities. We propose a 3D mapping methodology to quantitatively characterize forest structure and extent as well as change over time and to inform the field measurements site stratification and location. Our research strategy consists in using the airborne lidar to upscale field estimates of biomass to a larger scale and enable validation of TanDEM-X derived estimates of canopy height and biomass. We will develop a present day mangrove extent map using Landsat, SAR (ALOS-2) and Very high Resolution commercial optical data then adapt global forest change mapping algorithms to include mangrove forests and develop a timeseries of mangrove change in all three countries from 1990 to the present day. Finally we will coordinate a Mangrove Carbon Working Group composed of in-country and US experts to coordinate, disseminate and inform field, remote sensing and GIS experts on the use and generation of the data products from this study.
CMS Primary Theme:
  • Land Biomass
CMS Science Theme(s):
  • Land Biomass
  • Land-Atmosphere Flux
  • Land-Ocean Flux
  • Decision Support
  • MRV

Participants:

Temilola (Lola) Fatoyinbo, NASA GSFC
David Lagomasino, East Carolina University
Mwita Mangora, University of Dar es Salaam Institute of Marine Sciences
Aurelie Shapiro, World Wildlife Fund
Marc (Mac) Simard, Jet Propulsion Laboratory / Caltech
Carl Trettin, U.S. Forest Service Southern Research Station
Jan-Willem van Bochove, United Nations Environment Programme World Conservation Monitoring Centre
Eliakimu Zahabu, Sokoine University of Agriculture

Contact Support to request an email list of project participants.

Project URL(s): None provided.
 
Data
Products:
Product Title:  Mangrove forest biomass estimates.
Time Period:  2013-2015
Description:  - Develop a Mangrove Total Carbon Monitoring System in Gabon, Tanzania, and Mozambique.; - Provide estimates of forest biomass using a suite of COTS datasets.
Status:  Planned
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  Carbon Stocks (; terrestrial)
Spatial Extent:  Gabon, Tanzania, and Mozambique
Spatial Resolution:  1m to 12 m
Temporal Frequency:  Single Product 2013/2014
Input Data Products:  Airborne Lidar (commercial COTS aircraft), Synthetic Aperture Radar (SAR), Very High Resolution optical (VHR), TanDEM-X Polarimetric Interferometric SAR (Pol-InSAR), field measurements.
Algorithm/Models Used:  Pol-InSAR
Evaluation:  Validate TanDEM-X derived estimates of canopy height and biomass with Lidar and Field.
Intercomparison Efforts/Gaps:  Comparison of Biomass and height estimates to those produced by Fatoyinbo and Simard (2013) and Hutchinson (2013)
Uncertainty Estimates:  Uncertainties estimated from model-data comparisons (Modeled Biomass - measured biomass)
Uncertainty Categories:  Ensemble and Model-Data Comparison
Application Areas:  - MRV, REDD+; - Forest inventory; - Land management; - Watershed protection plans
Relevant Policies/Programs:  REDD+, Le Gabon Emergent, Gabon Forest Carbon Assessment, Silvacarbon, GEO-FCT
Potential Users:  Forestry departments of Gabon, Tanzania, and Mozambique, WWF *Aurelie Shapiro*, USAID, USFS, Conservation International *Emily Pidgeon*, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  Gabon Space Agency (AGEOS); Omar Bongo University; US Forest Service (Point of Contact: Carl Trettin: ctrettin@fs.fed.us); US Forest Service (Point of Contact: Carl Trettin ctrettin@fs.fed.us)
Current Application Readiness Level:  5
Start Application Readiness Level:  3
Target Application Readiness Level:  6
Future Developments:  - Coordinate a Mangrove carbon working Group composed of in-country and US experts to Coordinate, disseminate, and Inform field, remote sensing, and GIS experts on the Use and generation of the data products from this project.
Limitations:  Not all of the uncertainties have been identified and quantified.
Date When Product Available:  Mozambique 2016, Tanzania 2016, Gabon 2017
Metadata URL(s):
Data Server URL(s):
Archived Data Citation:  
Bounding Coordinates:
West Longitude:9.54000 East Longitude:39.49000
North Latitude:0.38330 South Latitude:-25.95000

Product Title:  Mangrove forest cover change maps.
Time Period:  1990-2015
Description:  - Develop a time series of mangrove change in all three countries from 1990 to present day.
Status:  Planned
CMS Science Theme(s):  Land Biomass; Land-Atmosphere Flux; Land-Ocean Flux; MRV
Keywords:  Disturbance (land cover change)
Spatial Extent:  Gabon, Tanzania, and Mozambique
Spatial Resolution:  30 m
Temporal Frequency:  Annually 1990-2014
Input Data Products:  Landsat, SAR (ALOS-2), and VHR commercial optical data
Algorithm/Models Used:  Global forest change mapping algorithms
Evaluation:  Validate Landsat/SAR change with VHR optical data and field measurements
Intercomparison Efforts/Gaps:  Comparison of change with available regional and global change products such as Hansen et al, 2013.
Uncertainty Estimates:  
Uncertainty Categories:  
Application Areas:  - MRV, REDD+; - Forest inventory; - Land management; - Watershed protection plans
Relevant Policies/Programs:  REDD+, Le Gabon Emergent, Gabon Forest Carbon Assessment, Silvacarbon, GEO-FCT
Potential Users:  Forestry departments of Gabon, Tanzania, and Mozambique, WWF *Aurelie Shapiro*, USAID, USFS, Conservation International *Emily Pidgeon*, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  Gabon Space Agency (AGEOS); Omar Bongo University; University of Dar es Salaam Institute of Marine Sciences (Point of Contact: Mwita Mangora mmangora@yahoo.com); US Forest Service (Point of Contact: Carl Trettin: ctrettin@fs.fed.us); US Forest Service (Point of Contact: Carl Trettin ctrettin@fs.fed.us)
Current Application Readiness Level:  6
Start Application Readiness Level:  6
Target Application Readiness Level:  7
Future Developments:  - Coordinate a Mangrove carbon working Group composed of in-country and US experts to Coordinate, disseminate, and Inform field, remote sensing, and GIS experts on the Use and generation of the data products from this project.
Limitations:  Not all of the uncertainties have been identified and quantified.
Date When Product Available:  2016
Metadata URL(s):
Data Server URL(s):
Archived Data Citation:  
Bounding Coordinates:
West Longitude:9.54000 East Longitude:39.49000
North Latitude:0.38330 South Latitude:-25.95000

Product Title:  Mangrove forest extent maps.
Time Period:  1990-2015
Description:  - Provide Mangrove Forest extent maps using a suite of COTS datasets.
Status:  Planned
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  Ecosystem Composition & Structure (forest extent)
Spatial Extent:  Gabon, Tanzania, and Mozambique
Spatial Resolution:  30 m
Temporal Frequency:  Single Product 2013/2014
Input Data Products:  Landsat, SAR (ALOS-2), and VHR commercial optical data
Algorithm/Models Used:  Land cover Classification algorithms
Evaluation:  Validate Landsat/SAR extent with VHR optical data and field measurements
Intercomparison Efforts/Gaps:  Comparison of Extent maps with Global products by Giri (2011) and Spalding (2011)
Uncertainty Estimates:  Uncertainties estimated from model-data comparisons (mapped Extent - field validation/VHR data)
Uncertainty Categories:  Model-Data Comparison
Application Areas:  - MRV, REDD+; - Forest inventory; - Land management; - Watershed protection plans
Relevant Policies/Programs:  REDD+, Le Gabon Emergent, Gabon Forest Carbon Assessment, Silvacarbon, GEO-FCT
Potential Users:  Forestry departments of Gabon, Tanzania, and Mozambique, WWF *Aurelie Shapiro*, USAID, USFS, Conservation International *Emily Pidgeon*, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  Gabon Space Agency (AGEOS); Omar Bongo University; University of Dar es Salaam Institute of Marine Sciences (Point of Contact: Mwita Mangora mmangora@yahoo.com); US Forest Service (Point of Contact: Carl Trettin: ctrettin@fs.fed.us); US Forest Service (Point of Contact: Carl Trettin ctrettin@fs.fed.us); World Wildlife Fund (Point of Contact: Aurelie Shapiro, aurelie.shapiro@wwf.de)
Current Application Readiness Level:  6
Start Application Readiness Level:  6
Target Application Readiness Level:  7
Future Developments:  - Coordinate a Mangrove carbon working Group composed of in-country and US experts to Coordinate, disseminate, and Inform field, remote sensing, and GIS experts on the Use and generation of the data products from this project.
Limitations:  Not all of the uncertainties have been identified and quantified.
Date When Product Available:  Mozambique 2015, Tanzania 2016, Gabon 2017
Metadata URL(s):
Data Server URL(s):
Archived Data Citation:  
Bounding Coordinates:
West Longitude:9.54000 East Longitude:39.49000
North Latitude:0.38330 South Latitude:-25.95000

Product Title:  CMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014
Start Date:  01/1990      End Date:  12/2014     (1990-2014)
Description:  This data set provides canopy height, land cover change, and stand age estimates for mangrove forests in the Rufiji River Delta in Tanzania. The estimates were derived from a canopy height model (CHM) using TanDEM-X imagery and Polarimetric SAR interferometry (Pol-InSAR) techniques. Landsat imagery circa 1990 and circa 2014 was used to estimate stand age between 1994 and 2014 and for forest land cover change modeling.
Status:  Archived
CMS Science Theme(s):  Land Biomass
Keywords:  Disturbance (land cover change)
Spatial Extent:  Rufiji River Delta in Tanzania
Spatial Resolution:  Canopy height (12-m x 12-m), Land cover change (30-m x 30-m), stand age (30-m x 30-m)
Temporal Frequency:  One time estimate
Input Data Products:  Landsat, TanDEM-X imagery and Polarimetric SAR interferometry (Pol-InSAR) techniques
Algorithm/Models Used:  Global forest change mapping algorithms, canopy height model (CHM)
Evaluation:  Validate Landsat/SAR change with VHR optical data and field measurements.
Intercomparison Efforts/Gaps:  Comparison of change with available regional and global change products such as Hansen et al, 2013.
Uncertainty Estimates:  A +/- 2 m uncertainty was used for the canopy height estimates. This uncertainty was determined through previous studies. Google Earth imagery was also used extensively as an additional reference for the circa 2014 land cover classification, but not for the circa 1990 classification, as no imagery was available for this area for any date prior to 2009. A static +/- 1 year uncertainty was used for the stand age modeling.
Uncertainty Categories:  
Application Areas:  - MRV, REDD+; - Forest inventory; - Land management; - Watershed protection plans; - Climate mitigation and adaptation plans
Relevant Policies/Programs:  REDD+, Le Gabon Emergent, Gabon Forest Carbon Assessment, Silvacarbon, GEO-FCT
Potential Users:  Forestry departments of Gabon, Tanzania, and Mozambique, WWF *Aurelie Shapiro*, USAID, USFS, Conservation International *Emily Pidgeon*, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  Tanzania Forest Service; University of Dar es Salaam Institute of Marine Sciences (Point of Contact: Mwita Mangora mmangora@yahoo.com); US Forest Service (Point of Contact: Carl Trettin: ctrettin@fs.fed.us); US Forest Service (Point of Contact: Carl Trettin ctrettin@fs.fed.us)
Current Application Readiness Level:  6
Start Application Readiness Level:  6
Target Application Readiness Level:  7
Future Developments:  - Coordinate a Mangrove carbon working Group composed of in-country and US experts to Coordinate, disseminate, and Inform field, remote sensing, and GIS experts on the Use and generation of the data products from this project.
Limitations:  
Date When Product Available:  
Assigned Data Center:  ORNL DAAC
Metadata URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1377
Data Server URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1377
Archived Data Citation:  Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, C. Trettin, and M.C. Hansen. 2017. CMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1377

Bounding Coordinates:
West Longitude:39.19000 East Longitude:39.50000
North Latitude:-7.51000 South Latitude:-8.04000

Product Title:  CMS: Mangrove Canopy Height Estimates from Remote Imagery, Zambezi Delta, Mozambique
Start Date:  10/2011      End Date:  05/2014     (2011-2014)
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.
Status:  Archived
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  canopy height; carbon stocks; biomass
Spatial Extent:  Zambezi River Delta, Mozambique
Spatial Resolution:  1m x 1m and 12m x 12m
Temporal Frequency:  One time estimate
Input Data Products:  Airborne Lidar (commercial COTS aircraft), Synthetic Aperture Radar (SAR), Very High Resolution optical (VHR), TanDEM-X Polarimetric Interferometric SAR (Pol-InSAR), field measurements
Algorithm/Models Used:  Pol-InSAR; Ames Stereopipeline
Evaluation:  General statistics including the mean, median, and standard deviations were determined for each of the CHMs. A comparative analysis was performed using root-mean-square-error (RMSE). The airborne CHM was used as a reference to assess the spaceborne CHMs. Canopies over 10-m were accurately predicted by all CHMs while the distributions of canopy height were best predicted by the VHR CHM.
Intercomparison Efforts/Gaps:  Comparison of Biomass and height estimates to those produced by Fatoyinbo and Simard (2013) and Hutchinson (2013)
Uncertainty Estimates:  Uncertainties estimated from model-data comparisons (Modeled height - measured height)
Uncertainty Categories:  Ensemble and Model-Data Comparison
Application Areas:  MRV, REDD+; - Forest inventory; - Land management; - Watershed protection plan
Relevant Policies/Programs:  REDD+, Le Gabon Emergent, Gabon Forest Carbon Assessment, Silvacarbon, GEO-FCT
Potential Users:  US Forest Service, Forestry departments of Gabon, Tanzania, and Mozambique, WWF *Aurelie Shapiro*, USAID, USFS, Conservation International *Emily Pidgeon*, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  University of Dar es Salaam Institute of Marine Sciences (Point of Contact: Mwita Mangora mmangora@yahoo.com); US Forest Service (Point of Contact: Carl Trettin: ctrettin@fs.fed.us)
Current Application Readiness Level:  6
Start Application Readiness Level:  5
Target Application Readiness Level:  7
Future Developments:  Complete mangrove canopy height estimates for the entire countries of Mozambique, Tanzania, and Gabon at 12m spatial resolution. Coordinate a Mangrove Carbon Working Group composed of in-country and US experts to coordinate, disseminate, and inform field, remote sensing, and GIS experts on the use and generation of the data products from this project.
Limitations:  Not all of the uncertainties have been identified and quantified.
Date When Product Available:  February 2017
Assigned Data Center:  ORNL DAAC
Metadata URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1357
Data Server URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1357
Archived Data Citation:  Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, M. Simard, and C. Trettin. 2016. CMS: Mangrove Canopy Height Estimates from Remote Imagery, Zambezi Delta, Mozambique. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1357

Bounding Coordinates:
West Longitude:36.12000 East Longitude:36.34000
North Latitude:-18.63000 South Latitude:-18.92000

Product Title:  CMS: Mangrove Canopy Height from High-resolution Stereo Image Pairs, Mozambique, 2012
Start Date:  09/2012      End Date:  09/2012     (2012)
Description:  This data set provides canopy height estimates for mangrove forests at 0.6 x 0.6 m resolution in three study sites located in southeastern Mozambique, Africa: two sites on Inhaca Island and one in the Maputo Elephant Reserve, located in the southern province of Maputo for September, 2012. The estimates were derived from WorldView1 (WV-1) very high resolution (VHR) stereo images processed using the Ames Stereo Pipeline (ASP) digital surface model (DSM) tool.
Status:  Archived
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  canopy height; carbon stocks; biomass
Spatial Extent:  Three sites in southern province of Maputo, Mozambique
Spatial Resolution:  0.6 m x 0.6 m
Temporal Frequency:  One time estimate
Input Data Products:  The estimates were derived from WorldView1 (WV-1) very high resolution (VHR) stereo images processed using the Ames Stereo Pipeline (ASP) digital surface model (DSM) tool.
Algorithm/Models Used:  Ames Stereo Pipeline (ASP) digital surface model (DSM) tool
Evaluation:  Canopy height estimated from VHR were compared to local field surveys and shuttle radar topography mission (SRTM) data collected in 2000 and 2014 to identify bias and errors. The VHR estimates were also compared to canopy height derived from coarse radar altimetry data collected from the shuttle radar topography mission (SRTM) in 2000, and SRTM 30-m data released in 2014.
Intercomparison Efforts/Gaps:  Comparison of Biomass and height estimates to those produced by Fatoyinbo and Simard (2013) and Hutchinson (2013)
Uncertainty Estimates:  Uncertainties estimated from model-data comparisons (Modeled height - measured height)
Uncertainty Categories:  Ensemble and Model-Data Comparison
Application Areas:  MRV, REDD+; - Forest inventory; - Land management; - Watershed protection plan
Relevant Policies/Programs:  REDD+, Le Gabon Emergent, Gabon Forest Carbon Assessment, Silvacarbon, GEO-FCT
Potential Users:  US Forest Service, Forestry departments of Gabon, Tanzania, and Mozambique, WWF *Aurelie Shapiro*, USAID, USFS, Conservation International *Emily Pidgeon*, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  University of Dar es Salaam Institute of Marine Sciences (Point of Contact: Mwita Mangora mmangora@yahoo.com); US Forest Service (Point of Contact: Carl Trettin: ctrettin@fs.fed.us)
Current Application Readiness Level:  6
Start Application Readiness Level:  5
Target Application Readiness Level:  7
Future Developments:  Complete mangrove canopy height estimates for the entire countries of Mozambique, Tanzania, and Gabon at 12m spatial resolution. Coordinate a Mangrove Carbon Working Group composed of in-country and US experts to coordinate, disseminate, and inform field, remote sensing, and GIS experts on the use and generation of the data products from this project.
Limitations:  Not all of the uncertainties have been identified and quantified.
Date When Product Available:  June 2016
Assigned Data Center:  ORNL DAAC
Metadata URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1327
Data Server URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1327
Archived Data Citation:  Lagomasino, D., and T. Fatoyinbo. 2016. CMS: Mangrove Canopy Height from High-resolution Stereo Image Pairs, Mozambique, 2012. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1327

Bounding Coordinates:
West Longitude:32.81000 East Longitude:33.00000
North Latitude:-25.98000 South Latitude:-26.39000

Product Title:  Mangrove Canopy Height
Time Period:  2011 - 2014
Description:  Develop mangrove canopy height estimates using a suite of COTS datasets. Canopy height data will then be used to derive otherproduct derivatives such as land cover change and biomass.
Status:  Planned
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  canopy height; carbon stocks; biomass
Spatial Extent:  Gabon, Tanzania, Mozambique
Spatial Resolution:  1 m to 12 m
Temporal Frequency:  Single Product - dependant on time/date of satellite acquisition
Input Data Products:  Airborne Lidar (commercial COTS aircraft), Synthetic Aperture Radar (SAR), Very High Resolution optical (VHR), TanDEM-X Polarimetric Interferometric SAR (Pol-InSAR), field measurements.
Algorithm/Models Used:  Pol-InSAR; Ames Stereopipeline
Evaluation:  Validate TanDEM-X and VHR derived estimates of canopy height and biomass with Lidar and Field.
Intercomparison Efforts/Gaps:  Comparison of Biomass and height estimates to those produced by Fatoyinbo and Simard (2013) and Hutchinson (2013)
Uncertainty Estimates:  Uncertainties estimated from model-data comparisons (Modeled height - measured height)
Uncertainty Categories:   Ensemble and Model-Data Comparison
Application Areas:  MRV, REDD+; - Forest inventory; - Land management; - Watershed protection plan
Relevant Policies/Programs:  REDD+, Le Gabon Emergent, Gabon Forest Carbon Assessment, Silvacarbon, GEO-FCT
Potential Users:  US Forest Service, Forestry departments of Gabon, Tanzania, and Mozambique, WWF *Aurelie Shapiro*, USAID, USFS, Conservation International *Emily Pidgeon*, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  Gabon Space Agency (AGEOS); Omar Bongo University; University of Dar es Salaam Institute of Marine Sciences (Point of Contact: Mwita Mangora mmangora@yahoo.com); US Forest Service (Point of Contact: Carl Trettin: ctrettin@fs.fed.us); US Forest Service (Point of Contact: Carl Trettin ctrettin@fs.fed.us)
Current Application Readiness Level:  6
Start Application Readiness Level:  5
Target Application Readiness Level:  7
Future Developments:  Coordinate a Mangrove carbon working Group composed of in-country and US experts to Coordinate, disseminate, and Inform field, remote sensing, and GIS experts on the Use and generation of the data products from this project.
Limitations:  Not all of the uncertainties have been identified and quantified.
Date When Product Available:  July 2016
Assigned Data Center:  ORNL DAAC
Metadata URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1327

http://dx.doi.org/10.3334/ORNLDAAC/1357
Data Server URL(s):

http://dx.doi.org/10.3334/ORNLDAAC/1327

http://dx.doi.org/10.3334/ORNLDAAC/1357
Archived Data Citation:  
Bounding Coordinates:
West Longitude:9.54000 East Longitude:39.49000
North Latitude:0.38330 South Latitude:-25.95000

Product Title:  CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique
Start Date:  09/2012      End Date:  05/2014     (Field measurements were made in September and October of 2012 and 2013. LiDAR measurements were taken on a single day: May 5, 2014)
Description:  This dataset provides several estimates of aboveground biomass from various regressions and allometries for mangrove forest in the Zambezi River Delta, Mozambique. Plot level estimates of aboveground biomass are based on extensive tree biophysical measurements from field campaigns conducted in September and October of 2012 and 2013. Aboveground biomass estimates for the larger area of mangrove coverage within the delta are based on (1) the plot level data and (2) canopy structure data derived from airborne LiDAR surveys in 2014. The high-resolution canopy height model for the delta region derived from the airborne LiDAR data is also included.
Status:  Archived
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  Carbon Stocks (; terrestrial)
Spatial Extent:  Mangrove forested land of the Zambezi River Delta, Mozambique
Spatial Resolution:  1 m
Temporal Frequency:  Seasonal
Input Data Products:  Airborne Lidar, and field measurements. LiDAR data was acquired by Land Resources International (Pietermaritzburg, South Africa). The airborne survey comprised an approximate area of 115 km2 in the Zambezi Delta region, Mozambique, with a point density that ranged between 5 - 7 points per m2 (Lagomasino et al., 2016).
Algorithm/Models Used:  Field-based canopy height and carbon stock estimates were inventoried using a stratified random sampling design that took into account forest canopy height classes determined from the Mozambique mangrove canopy height data product derived from SRTM and GLAS data (Fatoyinbo et al., 2008). Total aboveground biomass (AGB) was estimated using the generalized Komiyama et al. (2005) mangrove allometry, the pantropical Chave et al. (2005) allometry, and the site-specific Njana et al. (2015) allometry derived for Tanzania as there is no site-specific published allometry for the Zambezi region.
Evaluation:  
Intercomparison Efforts/Gaps:  Comparison of field and LiDAR height metrics showed that the airborne survey data was highly correlated with field estimates of forest canopy height at the plot level across the entire range of sampled canopy heights. The strongest correlation between field and airborne survey metrics were found between LiDAR H100, LH, and Field H100, with 93% accuracy prediction between the airborne and field survey metrics.
Uncertainty Estimates:  
Uncertainty Categories:  
Application Areas:  - MRV REDD+; - Forest inventory; - Land management; - Watershed protection plans
Relevant Policies/Programs:  REDD+, Silvacarbon, GEO-FCT
Potential Users:  US Forest Service, Forestry department Mozambique, WWF, USAID, Conservation International, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  
Current Application Readiness Level:  5
Start Application Readiness Level:  3
Target Application Readiness Level:  6
Future Developments:  
Limitations:  The dataset authors advise that the Njana Power-based AGB map (njana_power_agb.tif) provides the most accurate estimates of AGB for this region as it is based on an allometric equation specific to East African mangrove forest, takes into account tree height, and has the highest range of input diameter at breast height and height measurements.
Date When Product Available:  August 25 2017
Assigned Data Center:  ORNL DAAC
Metadata URL(s):

https://doi.org/10.3334/ORNLDAAC/1522
Data Server URL(s):

https://doi.org/10.3334/ORNLDAAC/1522
Archived Data Citation:  Fatoyinbo, T., E. Feliciano, D. Lagomasino, S. Lee, and C. Trettin. 2017. CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1522

Bounding Coordinates:
West Longitude:36.15000 East Longitude:36.29000
North Latitude:-18.79000 South Latitude:-18.90000

Product Title:  CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014
Start Date:  05/2014      End Date:  05/2014     (one sampling date)
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.
Status:  Archived
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  Carbon Stocks (; terrestrial)
Spatial Extent:  Mangrove forested land of the Zambezi River Delta, Mozambique
Spatial Resolution:  < 1 meter
Temporal Frequency:  one time sampling
Input Data Products:  Airborne LiDAR data was acquired on May 5, 2014 by Land Resources International (Pietermaritzburg, South Africa). The airborne survey comprised an approximate area of 115 km2 in the Zambezi Delta region, Mozambique, with a point density that ranged between 5 and 7 points per m2 (Lagomasino et al., 2016). The data were processed in Global Mapper and arranged into 144 1-km2 tiles for distribution with this data package.
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Application Areas:  - MRV REDD+; - Forest inventory; - Land management; - Watershed protection plans
Relevant Policies/Programs:  REDD+, Silvacarbon, GEO-FCT
Potential Users:  US Forest Service, Forestry department Mozambique, WWF, USAID, Conservation International, UNEP-WCMC, University Eduardo Mondlane
Stakeholders:  
Current Application Readiness Level:  5
Start Application Readiness Level:  3
Target Application Readiness Level:  6
Future Developments:  
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Date When Product Available:  August 25 2017
Assigned Data Center:  ORNL DAAC
Metadata URL(s):

https://doi.org/10.3334/ORNLDAAC/1521
Data Server URL(s):

https://doi.org/10.3334/ORNLDAAC/1521
Archived Data Citation:  Fatoyinbo, T., and C. Trettin. 2017. CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1521

Bounding Coordinates:
West Longitude:36.15000 East Longitude:36.29000
North Latitude:-18.79000 South Latitude:-18.89000

Product Title:  Global Mangrove Distribution, Aboveground Biomass, and Canopy Height
Start Date:  01/2000      End Date:  08/2014
Description:  This dataset characterizes the global distribution, biomass, and canopy height of mangrove-forested wetlands based on remotely sensed and in situ field measurement data. Estimates of (1) mangrove aboveground biomass (AGB), (2) maximum canopy height (height of the tallest tree), and (3) basal-area weighted height (individual tree heights weighted in proportion to their basal area) for the nominal year 2000 were derived across a 30-meter resolution global mangrove ecotype extent map using remotely-sensed canopy height measurements and region-specific allometric models. Also provided are (4) in situ field measurement data for selected sites across a wide variety of forest structures (e.g., scrub, fringe, riverine and basin) in mangrove ecotypes of the global equatorial region. Within designated plots, selected trees were identified to species and diameter at breast height (DBH) and tree height was measured using a laser rangefinder or clinometer. Tree density (the number of stems) can be estimated for each plot and expressed per unit area. These data were used to derive plot-level allometry among AGB, basal area weighted height (Hba), and maximum canopy height (Hmax) and to validate the remotely sensed estimates.
Status:  Archived
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  
Spatial Extent:  Global within a circum-equatorial band from 31 degrees north to 39 degrees south
Spatial Resolution:  
Temporal Frequency:  One-time estimates for nominal year 2000
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Assigned Data Center:  ORNL DAAC
Metadata URL(s):

https://doi.org/10.3334/ORNLDAAC/1665
Data Server URL(s):

https://doi.org/10.3334/ORNLDAAC/1665
Archived Data Citation:  Simard, M., T. Fatoyinbo, C. Smetanka, V.H. Rivera-monroy, E. Castaneda, N. Thomas, and T. Van der stocken. 2019. Global Mangrove Distribution, Aboveground Biomass, and Canopy Height. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1665

Bounding Coordinates:
West Longitude:-180.00000 East Longitude:180.00000
North Latitude:31.00000 South Latitude:-39.00000

Product Title:  CMS: Mangrove Forest Cover Extent and Change across Major River Deltas, 2000-2016
Start Date:  01/2000      End Date:  12/2016
Description:  This dataset provides estimates of mangrove extent for 2016, and mangrove change (gain or loss) from 2000 to 2016, in major river delta regions of eight countries: Bangladesh, Gabon, Jamaica, Mozambique, Peru, Senegal, Tanzania, and Vietnam. For mangrove extent, a combination of Landsat 8 OLI, Sentinel-1 C-SAR, and Shuttle Radar Topography Mission (SRTM) elevation data were used to create country-wide maps of mangrove landcover extent at a 30-m resolution. For mangrove change, the global mangrove map for 2000 (Giri et al., 2010) was used as the baseline. Normalized Difference Vegetation Indices (NDVI) were calculated for every cloud- and shadow-free pixel in the Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI collection and used to create an NDVI anomaly from 2000 to 2016. Areas of change (loss or gain) occurred at the extremes of the cumulative anomalies.
Status:  Archived
CMS Science Theme(s):  Land Biomass; MRV
Keywords:  
Spatial Extent:  Gabon, Mozambique, Tanzania, Peru, Senegal, Jamaica
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Date When Product Available:  
Assigned Data Center:  ORNL DAAC
Metadata URL(s):

https://doi.org/10.3334/ORNLDAAC/1670
Data Server URL(s):

https://doi.org/10.3334/ORNLDAAC/1670
Archived Data Citation:  Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, C. Trettin, A. Shapiro, and M. Mwita. 2019. CMS: Mangrove Forest Cover Extent and Change across Major River Deltas, 2000-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1670

Bounding Coordinates:
West Longitude:-82.00000 East Longitude:107.03000
North Latitude:22.50000 South Latitude:-28.00000

 
Publications: Fatoyinbo, T., Feliciano, E. A., Lagomasino, D., Lee, S. K., Trettin, C. 2018. Estimating mangrove aboveground biomass from airborne LiDAR data: a case study from the Zambezi River delta. Environmental Research Letters. 13(2), 025012. DOI: 10.1088/1748-9326/aa9f03

Lagomasino, D., Fatoyinbo, T., Lee, S., Feliciano, E., Trettin, C., Shapiro, A., Mangora, M. M. 2019. Measuring mangrove carbon loss and gain in deltas. Environmental Research Letters. 14(2), 025002. DOI: 10.1088/1748-9326/aaf0de

Simard, M., Fatoyinbo, L., Smetanka, C., Rivera-Monroy, V. H., Castaneda-Moya, E., Thomas, N., Van der Stocken, T. 2018. Mangrove canopy height globally related to precipitation, temperature and cyclone frequency. Nature Geoscience. 12(1), 40-45. DOI: 10.1038/s41561-018-0279-1

Lagomasino, D., Fatoyinbo, T., Lee, S., Simard, M. 2015. High-resolution forest canopy height estimation in an African blue carbon ecosystem. Remote Sensing in Ecology and Conservation. 1(1), 51-60. DOI: 10.1002/rse2.3

Lee, S., Fatoyinbo, T. E. 2015. TanDEM-X Pol-InSAR Inversion for Mangrove Canopy Height Estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 8(7), 3608-3618. DOI: 10.1109/JSTARS.2015.2431646

Lagomasino, D., Fatoyinbo, T., Lee, S., Feliciano, E., Trettin, C., Simard, M. 2016. A Comparison of Mangrove Canopy Height Using Multiple Independent Measurements from Land, Air, and Space. Remote Sensing. 8(4), 327. DOI: 10.3390/rs8040327

Archived Data Citations: Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, M. Simard, and C. Trettin. 2016. CMS: Mangrove Canopy Height Estimates from Remote Imagery, Zambezi Delta, Mozambique. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1357

Lagomasino, D., and T. Fatoyinbo. 2016. CMS: Mangrove Canopy Height from High-resolution Stereo Image Pairs, Mozambique, 2012. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1327

Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, C. Trettin, and M.C. Hansen. 2017. CMS: Mangrove Canopy Characteristics and Land Cover Change, Tanzania, 1990-2014. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1377

Fatoyinbo, T., and C. Trettin. 2017. CMS: LiDAR Data for Mangrove Forests in the Zambezi River Delta, Mozambique, 2014. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1521

Fatoyinbo, T., E. Feliciano, D. Lagomasino, S. Lee, and C. Trettin. 2017. CMS: Aboveground Biomass for Mangrove Forest, Zambezi River Delta, Mozambique. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1522

Simard, M., T. Fatoyinbo, C. Smetanka, V.H. Rivera-monroy, E. Castaneda, N. Thomas, and T. Van der stocken. 2019. Global Mangrove Distribution, Aboveground Biomass, and Canopy Height. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1665

Lagomasino, D., T. Fatoyinbo, S. Lee, E. Feliciano, C. Trettin, A. Shapiro, and M. Mwita. 2019. CMS: Mangrove Forest Cover Extent and Change across Major River Deltas, 2000-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. DOI: 10.3334/ORNLDAAC/1670

Outreach Activities: NASA Earth Observatory Image of the Day: Below the Mangrove Canopy
June 1, 2017

NASA Earth Observatory Notes from the field: Mangrove Carbon With a Grain of Salt
March 22, 2017

NASA Earth Science News Team: NASA, Partner Space Agencies Measure Forests In Gabon
Feb 25, 2016

2015 NASA Carbon Cycle & Ecosystems Joint Science Workshop Poster(s)
  • Mangrove Canopy height and biomass estimates from TanDEM-X and WorldView Stereo photogrammetry   --   (Temilola E. Fatoyinbo, SeungKuk Lee, David Lagomasino, Marc Simard, Carl Trettin, Matthew Hansen, John Poulsen)   [abstract]