More than 1,000 Landsat scenes obtained from the USGS Earth Resources
Observation and Science Center (EROS) were classified using hybrid
supervised and unsupervised digital image classification techniques. This
database is the first, most comprehensive mangrove assessment of the world
(Giri et al., 2011).
Partial funding of this research was provided by NASA.
The mangrove database is being used for identifying priority areas
for mangrove conservation, studying the role of mangrove forests in
saving lives and properties from natural disasters (e.g. tsunami),
carbon accounting, and biodiversity conservation. The USGS EROS has
been using the data to study the impact of sea level rise on mangrove
ecosystems. The database serves as a baseline for mangrove
monitoring.
Version v1
The database was prepared using Landsat satellite data from the year 2000.
More than 1,000 Landsat scenes obtained from the USGS Earth Resources
Observation and Science Center (EROS) were classified using hybrid
supervised and unsupervised digital image classification techniques. This
database is the first, most comprehensive mangrove assessment of the world
(Giri et al., 2011).
Partial funding of this research was provided by NASA.
The mangrove database is being used for identifying priority areas
for mangrove conservation, studying the role of mangrove forests in
saving lives and properties from natural disasters (e.g. tsunami),
carbon accounting, and biodiversity conservation. The USGS EROS has
been using the data to study the impact of sea level rise on mangrove
ecosystems. The database serves as a baseline for mangrove
monitoring.
Name | Description |
---|---|
1 | Mangroves |
Providers | |
---|---|
CIESIN (producer, licensor) | |
Google Earth Engine (host) | |
STAC Version | 0.6.0 |
Keywords | annual, ciesin, global, landsat_derived, mangrove, nasa, usgs |
License | proprietary |
Temporal Extent | 12/31/1999, 4:00:00 PM - 12/31/2000, 4:00:00 PM |
DOI | https://doi.org/10.1111/j.1466-8238.2010.00584.x |
Citation | Giri, C., E. Ochieng, L.L.Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek, and N. Duke. 2013. Global Mangrove Forests Distribution, 2000. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). [https://doi.org/10.7927/H4J67DW8](https://doi.org/10.7927/H4J67DW8). Accessed DAY MONTH YEAR |
Type | image_collection |
GSD | metersm |
Platform | Landsat |
Instrument | TM |