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.

​​General Documentation​​

该数据库是利用2000年的Landsat卫星数据编制的。使用混合监督和非监督数字图像分类技术对从美国地质调查局地球资源观测和科学中心获得的1000多个Landsat场景进行了分类。这个数据库是世界上第一个最全面的红树林评估（Giri等人，2011）。这项研究的部分资金是由美国国家航空航天局提供的。

该红树林数据库正被用于确定红树林保护的优先区域，研究红树林在自然灾害（如海啸）中拯救生命和财产的作用，碳核算和生物多样性保护。美国地质调查局EROS一直在使用这些数据研究海平面上升对红树林生态系统的影响。该数据库可作为红树林监测的基线。

Dataset Availability

2000-01-01T00:00:00 - 2001-01-01T00:00:00

Dataset Provider

​​NASA SEDAC at the Center for International Earth Science Information Network​​

Collection Snippet

​​ee.ImageCollection("LANDSAT/MANGROVE_FORESTS")​​

Resolution

30 meters

Bands Table

Name

Description

1

Mangroves

Class Table: 1

Value

Color

Color Value

Description

1

#d40115

Mangroves

使用说明：

This is a work of the U.S. Government and is not subject to copyright protection in the United States. The data may be used by anyone, anywhere, anytime without permission, license or royalty payment. Attribution using the recommended citation is requested.这是美国政府的作品，在美国不受版权保护。任何人都可以在任何时间、任何地点使用这些数据，而不需要得到允许、许可或支付使用费。请使用推荐的引文注明出处。

引用：

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). ​​Global Mangrove Forests Distribution, v1: Land Use and Land Cover (LULC) | SEDAC​​. Accessed DAY MONTH YEAR

Giri, C., E. Ochieng, L. L. Tieszen, Z. Zhu, A. Singh, T. Loveland, J. Masek, and N. Duke. 2010. Status and Distribution of Mangrove Forests of the World Using Earth Observation Satellite Data. Global Ecology and Biogeography: A Journal of Macroecology 20(1): 154-159. ​​Status and distribution of mangrove forests of the world using earth observation satellite data - Giri - 2011 - Global Ecology and Biogeography - Wiley Online Library​​​

​​Global Mangrove Forests Distribution, v1: Land Use and Land Cover (LULC) | SEDAC​​ .

Google Earth Engine ——2000年至今Landsat影像红树林数据库_html

Google Earth Engine ——2000年至今Landsat影像红树林数据库_html_02Google Earth Engine ——2000年至今Landsat影像红树林数据库_html_03 代码：

var dataset = ee.ImageCollection('LANDSAT/MANGROVE_FORESTS');
var mangrovesVis = {
  min: 0,
  max: 1.0,
  palette: ['d40115'],
};
Map.setCenter(-44.5626, -2.0164, 9);
Map.addLayer(dataset, mangrovesVis, 'Mangroves');