Resilience & Vulnerability to Disturbances

Hurricanes can drastically change the structure and composition of coastal ecosystems. Hurricane Irma, one of the strongest hurricanes ever recorded in the Atlantic, first made landfall in the Florida Keys archipelago before coming ashore in southwestern Florida near Everglades National Park (ENP) on September 9th and 10th of this year. Strong winds in excess of 225 km/h and a 3 m storm surge impacted a 100+ km stretch of the southern Florida Gulf Coast, resulting in extensive damages to coastal and inland ecosystems (Figure 1). Over the past 25 years, three other hurricanes greatly impacted ecosystems in ENP, but prior storms did not have a concentrated collection of coincident airborne lidar and optical remote sensing data.


In response to the hurricane, we conducted a rapid response to collect repeat G-LiHT acquisitions over Southwest Florida to directly quantify ecosystem damages and coastal erosion from Hurricane Irma using pre and post-storm data. Rapid assessment of storm impacts was critical to characterize sedimentation, erosion, and changes in ecosystem structure and composition. In November of 2017, our team quickly mobilized to collect G-LiHT data in the beginning of December, nearly three months after Hurricane Irma. As a follow on to help calibrate and validate our airborne data, we also conducted a field campaign in January of 2018 to collect on the ground measurements across gradients of storm surge, wind speeds, and ecosystem damage.

The 2017 flights covered over 130,000 ha including areas of long-term monitoring sites with in situ measurements of vegetation, soil elevation, and hydrology to improve models of wetland vulnerability to saltwater intrusion and predict changes in future carbon stocks. The project, Hurricane Irma – Rapid Response (HI-RRes) with NASA G-LiHT will provide key datasets for local partners and collaborators to extrapolate information for strategic sites to areas not easily accessible in Southwest Florida. Our efforts will help to characterize the differential resilience of coastal vegetation directly after catastrophic storm events.

The combination of airborne and field campaigns served to address fundamental science and application needs arising from Hurricane Irma:
1) What was the extent of mangrove defoliation and mortality, coastal erosion and sedimentation caused by Hurricane Irma, and will this alter the resilience and vulnerability of the Florida Everglades and coastal wetlands in southern Florida to future storms?
2) Will disturbances in mangrove forests create a more favorable environment for invasive vegetation, and how will changes in topography and drainage ways affect regrowth and recovery?

Level 3 G-LiHT lidar data products and fine-resolution imagery collected by G-LiHT in April and December of 2017 have been publically released for areas of southwest ENP at the G-LiHT webpage ( In select areas of ENP, Level 3 hyperspectral data products have also been made available. Forest structure data collected by the FCE LTER and FWC teams will be shared among the three groups and then publically available through the FCE LTER data portal (

The first results of the airborne campaign were presented by David at the 2017 AGU Fall Meeting during the late-breaking disasters session (


  • Goddard’s Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager collected data over 130,000 ha of coastal wetlands
  • More than 1/5 of the mangrove canopy (foliage, branches, stems) at the mouth of the Shark River was lost to Hurricane Irma.
  • Snapped branches or uprooted trees covered over 40% of the area mapped over Shark River


  • Coastal disturbance legacies have the potential to influence the trajectory of mangrove resilience and vulnerability.
  • Canopy structure can also change because of the influence of gaps created during natural disaster.s
  • We are mapping fine scale canopy height structure to help improve storm surge models and provide predictions for future vulnerability and degradation.


Workshop: Remote Sensing Applications for Wetland Inventories

Coastal wetlands hold tremendous economic, recreational, and commercial value. These system are highly sensitive to changes in salinity and hydrology that are brought upon by sea level rise, saltwater intrusion, and human manipulation. Remote sensing is an effective tool to monitor changes to wetland ecosystems, and model ecosystem structural and functional parameters.

In June of 2017, we held a brief workshop at the 2017 Society of Wetland Scientists Meeting in Puerto Rico. At this workshop, we exchanged information about the opportunities and challenges associated with the use of remote sensing applications to estimate wetland biomass and discussed the design of mangrove forest inventories using remote sensing products. In particular, we focused on emerging high-resolution radar and optical techniques that can accurately estimate forest structure and be used in stratified sampling protocols.

Topics covered in this workshop included:

(1) Land cover and land cover change,

(2) canopy height and terrain modeling,

(3) stand age and growth rates,

(4) biomass and carbon modeling, and

(5) forest inventory design.

The main goals of the workshop are to:

  1. Familiarize audience with recent remote sensing applications in mangrove forests
  2. Examine remote sensing based forest inventory decision support tools

Overall, the workshop will help to inform the wetland community on the current and emerging observations and research activities in wetland ecosystems that may be applicable to local, regional, and global modeling of wetlands.

Workshop Summary and Resources

Remote Sensing Workshop (pdf w/ notes)

Remote Sensing Workshop (ppt)



Welcome to Mangrove Science

This is Mangrove Science

Mangrove Science pulls together research from a network of forest ecologists, remote sensing scientists, hydrologists, local officials, and members of the community to understand how the landscape of mangrove forests change over time.

Browse the website to find out more about our past, current and pending projects. Mangrove data products including mangrove extent maps, canopy height models, biomass maps, and more will be continually updated on the “Data Portal“.

Check back often or sign up for updates to stay informed of new mangrove science and datasets.

African Blue Carbon

Mangroves and tidal wetlands have the highest carbon density among terrestrial ecosystems. Although they only represent 3 % of the total forest area (or 0.01 % of land area), C emissions from mangrove destruction alone at
current rates could be equivalent to 10 % of carbon emissions from deforestation. Due to their location along highly populated coastlines, they are under significant threat from anthropogenic activity as well as sea level rise. In fact, it is estimated that over 50% of mangrove forests and tidal marshes have been destroyed over the past 60 years, with continued annual deforestation rates of 1% to 2%. The high C sequestration coupled with the high risk of destruction makes 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 (UNREDD and REDD+).

One of the main challenges to implementing carbon mitigation projects is measuring carbon, efficiently, effectively, and safely. 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 REDD and other C trading mechanisms. Furthermore, most intensive mangrove sites are established in South-East Asia, Australia and Latin America, with a large gap in knowledge in African mangrove ecosystems.

Our goals are to develop the methodologies for, and produce the initial remote sensing products necessary to implement an MRV (monitoring, reporting and verification) system in Coastal Blue Carbon ecosystems in collaboration with local in country and international partners. We propose to estimate forest change, structure and biomass of mangrove forests to improve carbon management, monitoring and carbon cycle science, and to inform REDD+ and carbon emission mitigation projects in Tanzania, Mozambique and Gabon.

Get more information at

SilvaCarbon – Bangladesh

Mangrove ecosystems can store large quantities of carbon that are used to determine their global value for programs such as REDD and REDD+. Bangladesh has 710 kilometers of coasts. The coastal zone covers 19 coastal districts in the Bay of Bengal. This includes Bangladesh’s Sundarbans, which is the world’s largest contiguous mangrove forest. Coastal mangrove afforestation initiatives have been in place since 1966 after a devastating cyclone took a massive toll on human lives and destroyed property. Bangladesh is a pioneer in protecting coastal areas from natural disasters and has also been active in promoting urban forestry. The ecosystem services mangrove provides are invaluable. Some of these services include stabilizing the soil, reducing erosion, protecting the shore from natural disasters, sequestering carbon to help with climate change mitigation and adaptation, and providing sustenance wildlife and humans.

SilvaCarbon – Bangladesh

South Florida Coastal Ecosystem Vulnerability

Mangroves represent only 3% of the global forest cover, but the current degradation of pantropical mangrove forests is responsible for approximately 10% of the total carbon emissions from deforestation worldwide (Donato et al, 2011). Beyond being one of the most carbon dense ecosystems due to their high carbon sequestration rates (Donato et al, 2011; Pendleton et al, 2012), mangrove forests and other blue carbon wetlands (e.g., coastal sawgrass marsh) are economically and biologically important from local to global scales (Alongi et al, 2002). The large carbon stocks along with the many ecosystem services they provide, and threats from rising seas, saltwater intrusion, degradation and urban expansion, make mangrove environments globally important ecosystems.

Blue carbon ecosystems store and sequester most of their carbon stocks in peat soils (Donato et al, 2011; Stringer et al, 2015) as long as they can maintain a balance between sediment accretion and sea-level rise (McKee, 2011). Sea-level rise and seawater intrusion pose high-risks of change to mangrove forests and coastal marshes, which can result in extraordinary changes to inundation and salinity that impact both above and below ground carbon cycling (Weston et al, 2006; Bouillon et al, 2008). Plant productivity, community structure, soil stability, microbial activity, and root dynamics can all be affected by these environmental changes. As a result, rapid changes in inundation or salinity brought upon by climate change, accelerated sea-level rise, storm surges, or increased water flow through restoration efforts will collectively have an impact on regional and global carbon cycling.

The main goal of this project will consist of developing a new analytical framework from the fusion of multiple readily available ground, airborne, and spaceborne remote sensing datasets to quantify and predict rapid changes or collapse of the blue carbon landscapes. These types of data are now available or planned over the Florida Everglades as part of other NASA and other institutionally funded research. Spectral reflectance and fluorescence measurements can reveal when vegetation is enduring biophysical stress. Multi-scale lidar and radar measurements provide information regarding the horizontal and vertical physical structure. Combining these datasets will enable us to estimate forest and ecosystem changes, identify areas vulnerable to collapse, and model changes to regional carbon and water cycling to inform current restoration and research efforts in the Everglades.


Summary of Activities to Date

G-LiHT Planning and Coordination
NASA Goddard’s LiDAR, Hyperspectral and Thermal airborne imager (G-LiHT) collected data over Everglades National Park in May 2015. These acquisitions targeted critical vegetation, hydrologic, and salinity gradients that were also areas with existing ground plots in the marsh and mangrove forests. Repeat flights were also conducted in March of 2017 and after Hurricane Irma in December of 2017. G-LiHT data from the study domain will provide a link for upscaling ground data to long-term satellite observations in order to measure temporal landscape dynamics. Combining measurements of vegetation structure, foliar spectra, and surface temperatures using the G-LiHT imager has delivered well-calibrated results and has proven successful in determining forest inventories and individual tree structures. This data is important to examine the differential impacts to the vertical and spatial structure of coastal ecosystems across all of South Florida

Initial Land Cover Maps
Combining 3D mapping methodologies with biophysical spectral responses we can quantitatively access forest and vegetation structure and health. Using both the structure and function of the environment we can identify areas of ecosystem change and whether that change could lead to ecosystem degradation or regrowth. The main goal of this research is to develop a new monitoring framework from the fusion of readily-available ground, airborne, and spaceborne remote sensing datasets to quantify and predict rapid changes or collapse of the blue carbon landscapes. Because of the extensive Landsat archive and recent canopy height models we can assess changes to mangrove ecosystems across the globe, with the ability to compare processes between geomorphological settings.

Preliminary land cover change maps have been generated for the study region, Everglades National Park, for the period of 1993 through 2014. Initial results show mangrove forest lost along the southwestern tip of Florida, suggestive of typical landward erosion. In addition, there also appears to be substantial degradation within interior mangrove areas located in the western and southern portions of the Park . There has been relatively minimal gain in mangrove cover, except for a few areas around the islands of Florida Bay, and near 10,000 Islands.