国家湿地目录(地表水和湿地)数据集

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此星光明 发表于 2023/04/03 20:21:18 2023/04/03
【摘要】 ​ 国家湿地目录(地表水和湿地)美国鱼类和野生动物管理局(FWS)是美国联邦的主要机构,负责向公众提供有关我国湿地的状况和趋势的信息。湿地提供了大量的生态、经济和社会效益。它们为鱼类、野生动物和植物提供栖息地--其中许多具有商业或娱乐价值--补充地下水,减少洪水,提供清洁饮用水,提供食物和纤维,并支持文化和娱乐活动。不幸的是,自1780年以来,美国一半以上的湿地已经消失,而且湿地的损失今天仍...

 国家湿地目录(地表水和湿地)
美国鱼类和野生动物管理局(FWS)是美国联邦的主要机构,负责向公众提供有关我国湿地的状况和趋势的信息。湿地提供了大量的生态、经济和社会效益。它们为鱼类、野生动物和植物提供栖息地--其中许多具有商业或娱乐价值--补充地下水,减少洪水,提供清洁饮用水,提供食物和纤维,并支持文化和娱乐活动。不幸的是,自1780年以来,美国一半以上的湿地已经消失,而且湿地的损失今天仍在继续。这凸显了对湿地范围、类型和变化的地理空间信息的迫切需求。美国FWS国家湿地目录(NWI)是一个公开的资源,提供了关于美国湿地的丰度、特征和分布的详细信息。NWI的数据被美国FWS和全国的自然资源管理者用来促进对湿地的了解、保护和恢复。你可以在这里下载该数据集。Download Seamless Wetlands Data | U.S. Fish & Wildlife Service

数据集和GEE参考前言 – 床长人工智能教程

Layer Name GEE_Folder_Prefix Description
NWI Historic Wetlands historic_wetlands This data set represents the extent and approximate location of historic wetland habitats in certain areas of the conterminous United States
NWI Historic Wetlands Project Metadata hwpm This data set represents the extent, status, and location of current NWI historic wetland mapping projects.
NWI Wetlands wetlands This data set represents the extent, approximate location and type of wetlands and deepwater habitats in the United States and its Territories
NWI Wetlands Project Metadata wpm This data set represents the extent, status, and location of National Wetland Inventory wetland mapping projects for NWI Version 2, Surface Waters and Wetlands
NWI Riparian Areas riparian This data set represents the extent, approximate location and type of riparian habitats in the western United States. These data delineate the areal extent of riparian habitats as defined by a System For Mapping Riparian Areas in the United States (USFWS 2009)
NWI Riparian Project Metadata rpm This data set represents the extent, status, and location of current NWI riparian mapping projects
NWI Wetlands Historic Map Info hmi This data set represents the extent and location of historic wetland map reports generated by the U.S. Fish and Wildlife Service, cooperators, and contractors

数据预处理
数据集由各州提供,有些州被分割成多个部分。形状文件由多种几何类型组成,包括但不限于点和线绳,以及多边形和多角形。我们试图在earthengine中把每个州的多个部分合并成一个单一的特征集,因为GEE在特征集导出时不会对零面积的对象进行处理,所以我们创建了一个过滤器来标记每个特征类型并计算面积。同时,零面积的特征也被排除在外。目前,湿地数据集是唯一一个应用了这种转换的数据集。

目前,这些湿地文件是完整的,存在于文件夹中,命名为State-Abbreviation_Wetlands,例如佛罗里达州的FL_Wetlands等。其他的数据集并不是所有的州都有,你可以通过简单地在对象上运行earthengine ls或者使用目录来获得资产的清单。由于这是一个巨大的数据集集合,所以没有尝试创建一个全国范围的综合数据。我们还创建了一个单一的JSON文件,让你能够评估哪些数据集包含哪些州,作为一个简单的参考,你可以在这里找到它。Download Seamless Wetlands Data | U.S. Fish & Wildlife Service

Suggested Citation

(dataset) U.S. Fish & Wildlife Service. (2018). National Wetlands Inventory. U.S. Fish & Wildlife Service. https://data.nal.usda.gov/dataset/national-wetlands-inventory. Accessed 2021-09-19.

代码:

The dataset templates underneath can be simply replaced by the state code/territory code to get to the state/region of interest.

var wetlands = ee.FeatureCollection("projects/sat-io/open-datasets/NWI/wetlands/FL_Wetlands");
var historic_wetland = ee.FeatureCollection("projects/sat-io/open-datasets/NWI/historic_wetlands/FL_Historic_Wetlands");
var historic_wetland_project_metadata = ee.FeatureCollection("projects/sat-io/open-datasets/NWI/hwpm/FL_Historic_Wetlands_Project_Metadata");
var historic_map_info = ee.FeatureCollection("projects/sat-io/open-datasets/NWI/hmi/FL_Wetlands_Historic_Map_Info");
var co_riparian = ee.FeatureCollection("projects/sat-io/open-datasets/NWI/riparian/CO_Riparian");
var co_riparian_metadata = ee.FeatureCollection("projects/sat-io/open-datasets/NWI/rpm/CO_Riparian_Project_Metadata");
var wetlands_metadata = ee.FeatureCollection("projects/sat-io/open-datasets/NWI/wpm/FL_Wetlands_Project_Metadata");


var c1 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Freshwater Forested/Shrub Wetland')).map(function(feature){return feature.set('WETLAND_CD',1).copyProperties(feature)})
var c2 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Freshwater Emergent Wetland')).map(function(feature){return feature.set('WETLAND_CD',2).copyProperties(feature)})
var c3 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Freshwater Pond')).map(function(feature){return feature.set('WETLAND_CD',3).copyProperties(feature)})
var c4 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Estuarine and Marine Wetland')).map(function(feature){return feature.set('WETLAND_CD',4).copyProperties(feature)})
var c5 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Riverine')).map(function(feature){return feature.set('WETLAND_CD',5).copyProperties(feature)})
var c6 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Lake')).map(function(feature){return feature.set('WETLAND_CD',6).copyProperties(feature)})
var c7 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Estuarine and Marine Deepwater')).map(function(feature){return feature.set('WETLAND_CD',7).copyProperties(feature)})
var c8 = wetlands.filter(ee.Filter.eq('WETLAND_TY','Other')).map(function(feature){return feature.set('WETLAND_CD',8).copyProperties(feature)})

var empty = ee.Image().byte();
var vis = {min:1, max:8, 
palette: ['#008837','#7FC31C','#688CC0','#66C2A5','#0190BF','#13007C','#007C88','#B28653']}

var combined_collection = ee.FeatureCollection([c1,c2,c3,c4,c5,c5,c6,c7,c8]).flatten()


var wetlands_layer = combined_collection.reduceToImage(['WETLAND_CD'], ee.Reducer.mean());
Map.addLayer(wetlands_layer, vis, 'Wetland layer');


// Define a dictionary which will be used to make legend and visualize image on map
var dict = {
  "names": [
    "Freshwater Forested/Shrub Wetland",
    "Freshwater Emergent Wetland",
    "Freshwater Pond",
    "Estuarine and Marine Wetland",
    "Riverine", 
    "Lake",
    "Estuarine and Marine Deepwater",
    "Other",
  ],
  "colors": ['#008837','#7FC31C','#688CC0','#66C2A5','#0190BF','#13007C','#007C88','#B28653']};

// Create a panel to hold the legend widget
var legend = ui.Panel({
  style: {
    position: 'bottom-left',
    padding: '8px 15px'
  }
});

// Function to generate the legend
function addCategoricalLegend(panel, dict, title) {
  
  // Create and add the legend title.
  var legendTitle = ui.Label({
    value: title,
    style: {
      fontWeight: 'bold',
      fontSize: '18px',
      margin: '0 0 4px 0',
      padding: '0'
    }
  });
  panel.add(legendTitle);
  
  var loading = ui.Label('Loading legend...', {margin: '2px 0 4px 0'});
  panel.add(loading);
  
  // Creates and styles 1 row of the legend.
  var makeRow = function(color, name) {
    // Create the label that is actually the colored box.
    var colorBox = ui.Label({
      style: {
        backgroundColor: color,
        // Use padding to give the box height and width.
        padding: '8px',
        margin: '0 0 4px 0'
      }
    });
  
    // Create the label filled with the description text.
    var description = ui.Label({
      value: name,
      style: {margin: '0 0 4px 6px'}
    });
  
    return ui.Panel({
      widgets: [colorBox, description],
      layout: ui.Panel.Layout.Flow('horizontal')
    });
  };
  
  // Get the list of palette colors and class names from the image.
  var palette = dict['colors'];
  var names = dict['names'];
  loading.style().set('shown', false);
  
  for (var i = 0; i < names.length; i++) {
    panel.add(makeRow(palette[i], names[i]));
  }
  
  Map.add(panel);
  
}

addCategoricalLegend(legend, dict, 'NWI Categorical Legend');

代码链接:

https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/NATIONAL-WETLANDS-INVENTORY

图例

湿地类型在湿地制图仪上以类似分类的组别显示(例如,所有淡水萌生的湿地都显示为一个颜色类别)。显示类别如下表所示。为那些希望使用Mapper颜色方案创建自己的地图的人提供了显示颜色代码。

#008837 Freshwater- Forested and Shrub wetland
#7FC31C Freshwater Emergent wetland
#688CC0 Freshwater pond
#66C2A5 Estuarine and Marine wetland
#0190BF Riverine
#13007C Lakes
#007C88 Estuarine and Marine Deepwater
#B28653 Other Freshwater wetland


License

The US FWS National Wetlands Inventory (NWI) is a publicly available resource that provides detailed information on the abundance, characteristics, and distribution of US. NWI datasets are freely available to the public (similar to a CC0 license) and the U.S. Public Domain license.

Created by: U.S. Fish and Wildlife Service

Curated by: Samapriya Roy

Keywords: wetlands, conservation areas, habitats, fish, wildlife, drinking water, recreation, U.S. Fish and Wildlife Service

Last updated: 2021-09-19

 

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