世界住区足迹和演变¶。
2015年世界住区足迹¶。
2015年世界住区足迹（WSF）是一个10米（0.32角秒）分辨率的二进制掩码，概述了2015年全球住区范围，是通过联合利用多时相哨兵一号雷达和陆地卫星8号光学卫星图像得出的。
2015年世界住区足迹现在可以在GEE官方目录中找到，你可以在这里找到它：
https://developers.google.com/earth-engine/datasets/catalog/DLR_WSF_WSF2015_v1
整个目录由306个GeoTIFF文件组成（EPSG4326投影，deflate压缩），每个文件指的是10x10度大小的部分（约1110x1110km），其左上角和右下角坐标在文件名中指定[例如，瓦片WSF2015_v1_EPSG4326_e010_n60_e020_n50.tif涵盖（10E；60N）和（20E；50N）之间的区域]。
定居点与数值255有关；所有其他像素与数值0有关。
2019年世界住区足迹(WSF)¶。
世界住区足迹（WSF 2019）是一个10米分辨率的二进制掩码，概述了通过2019年多时空哨兵-1和哨兵-2图像得出的全球人类住区的范围。
该数据集分为5138个GeoTIFF文件（EPSG4326投影），每个文件指的是2x2度大小的部分（约222x222公里的地面），有0.1度的额外缓冲，以避免相邻瓦片之间的不连续情况。每个瓦片都由文件名中指定的左下角坐标来识别[例如，瓦片WSF2019_v1_12_18.tif涵盖（12E;18N）和（14E;20N）之间的区域]。你可以在这里下载这些文件
定居点与数值255有关；所有其他像素与数值0有关。
世界住区足迹的演变（1985-2015）∥。
这个资源库包含世界住区足迹（WSF）演变，这是一个30米分辨率的图层，概述了从1985年到2015年每年的全球住区范围，是通过多时相的Landsat-5和Landsat-7图像得出的。
该数据集分为5138个GeoTIFF文件（EPSG4326投影），每个文件指的是2x2度的部分（约222x222km的地面），有0.1度的额外缓冲，以避免相邻瓦片之间的不连续性。每一瓦片由文件名中指定的左下角坐标识别[例如，瓦片WSFevolution_v1_12_18.tif涵盖了(12E；18N)和(14E；20N)之间的区域]。你可以在这里下载这些文件
WSF Evolution Download Directory
数值范围在1985年至2015年之间，对应于估计的沉降检测年份，而0是没有数据。
世界住区足迹演变。输入数据一致性得分
该资源库包含输入数据一致性（IDC）得分，它提供了一个合适的、直观的衡量标准，说明用于生成WSF演化的陆地卫星图像的良好性，并支持对产品的正确解释。
数据集分为5138个GeoTIFF文件（EPSG4326投影），每个文件指的是2x2度的部分（约222x222km的地面），有0.1度的额外缓冲，以避免相邻瓦片之间的不连续。每个瓦片由文件名中指定的左下角坐标来识别[例如，IDC_Score_12_18.tif瓦片涵盖了(12E;18N)和(14E;20N)之间的区域]。数值范围从6到1，其中。6）非常好；5）好；4）一般；3）中等；2）低；1）非常低。你可以在这里下载文件
WSF Evolution Download Directory
数据引用：
Marconcini, Mattia; Metz-Marconcini, Annekatrin; Üreyen, Soner; Palacios-Lopez,
Daniela; Hanke, Wiebke; Bachofer, Felix; et al. (2020): World Settlement Footprint (WSF) 2015.
figshare. Dataset. https://doi.org/10.6084/m9.figshare.10048412.v1也可阅读Outlining where humans live, the World Settlement Footprint 2015 here 和Understanding Current Trends in Global Urbanisation – The World Settlement Footprint suite here
文献参考
Marconcini, Mattia, Annekatrin Metz-Marconcini, Soner Üreyen, Daniela Palacios-Lopez,
Wiebke Hanke, Felix Bachofer, Julian Zeidler et al. "Outlining where humans live,
the World Settlement Footprint 2015." Scientific Data 7, no. 1 (2020): 1-14.
Marconcini, M., Metz-Marconcini, A., Esch, T., Gorelick, N. (2021). Understanding Current Trends
in Global Urbanisation – The World Settlement Footprint suite. GI_Forum, 1, 33-38.
https://doi.org/10.1553/giscience2021_01_s33.
该数据集只有单值，2015年和2019年的WSF值为255，像素值为1985至2015年的WSF演变数据集。
代码：
var wsf2015 = ee.ImageCollection("projects/sat-io/open-datasets/WSF/WSF_2015");
var wsf2019 = ee.ImageCollection("projects/sat-io/open-datasets/WSF/WSF_2019");
var wsf_evo = ee.ImageCollection("projects/sat-io/open-datasets/WSF/WSF_EVO");
var wfs_evo_palette = ['#1a9850', '#66bd63', '#a6d96a', '#d9ef8b', '#ffffbf', '#fee08b', '#fdae61', '#f46d43', '#d73027']
Map.addLayer(wsf2015.mosaic(),{'min':255,'max':255},'World Settlement Footprint 2015')
Map.addLayer(wsf2019.mosaic(),{'min':255,'max':255},'World Settlement Footprint 2019')
Map.addLayer(wsf_evo.mosaic(),{'min':1985,'max':2015,'palette':wfs_evo_palette},'World Settlement Footprint Evolution 1985-2015')
var Grey
=
[
{
"featureType": "administrative.province",
"elementType": "all",
"stylers": [
{
"visibility": "off"
}
]
},
{
"featureType": "administrative.locality",
"elementType": "labels",
"stylers": [
{
"lightness": "-8"
}
]
},
{
"featureType": "administrative.locality",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#000000"
}
]
},
{
"featureType": "administrative.locality",
"elementType": "labels.text.stroke",
"stylers": [
{
"visibility": "off"
}
]
},
{
"featureType": "administrative.neighborhood",
"elementType": "all",
"stylers": [
{
"color": "#acacac"
}
]
},
{
"featureType": "administrative.neighborhood",
"elementType": "labels.text.fill",
"stylers": [
{
"color": "#484848"
}
]
},
{
"featureType": "administrative.neighborhood",
"elementType": "labels.text.stroke",
"stylers": [
{
"color": "#ff0000"
},
{
"visibility": "off"
}
]
},
{
"featureType": "administrative.land_parcel",
"elementType": "all",
"stylers": [
{
"lightness": "-3"
}
]
},
{
"featureType": "landscape",
"elementType": "all",
"stylers": [
{
"saturation": -100
},
{
"lightness": "72"
},
{
"visibility": "on"
}
]
},
{
"featureType": "landscape",
"elementType": "labels",
"stylers": [
{
"lightness": "23"
},
{
"visibility": "off"
}
]
},
{
"featureType": "poi",
"elementType": "all",
"stylers": [
{
"saturation": -100
},
{
"lightness": "30"
},
{
"visibility": "off"
}
]
},
{
"featureType": "road",
"elementType": "all",
"stylers": [
{
"lightness": "-19"
}
]
},
{
"featureType": "road",
"elementType": "geometry",
"stylers": [
{
"lightness": "2"
},
{
"gamma": "1.21"
}
]
},
{
"featureType": "road",
"elementType": "geometry.stroke",
"stylers": [
{
"visibility": "off"
},
{
"saturation": "15"
},
{
"hue": "#ff0000"
}
]
},
{
"featureType": "road",
"elementType": "labels",
"stylers": [
{
"lightness": "-43"
},
{
"visibility": "off"
}
]
},
{
"featureType": "road",
"elementType": "labels.text",
"stylers": [
{
"visibility": "on"
},
{
"lightness": "22"
},
{
"visibility": "off"
}
]
},
{
"featureType": "road",
"elementType": "labels.text.fill",
"stylers": [
{
"weight": "0.12"
},
{
"lightness": "-23"
},
{
"visibility": "off"
}
]
},
{
"featureType": "road",
"elementType": "labels.text.stroke",
"stylers": [
{
"visibility": "off"
},
{
"lightness": "71"
}
,
{
"visibility": "off"
}
]
},
{
"featureType": "road",
"elementType": "labels.icon",
"stylers": [
{
"visibility": "off"
}
]
},
{
"featureType": "road.highway",
"elementType": "all",
"stylers": [
{
"saturation": -100
},
{
"lightness": 1
},
{
"visibility": "off"
}
]
},
{
"featureType": "road.arterial",
"elementType": "all",
"stylers": [
{
"saturation": -100
},
{
"lightness": 30
},
{
"visibility": "on"
}
]
},
{
"featureType": "road.local",
"elementType": "all",
"stylers": [
{
"saturation": -100
},
{
"lightness": 40
},
{
"visibility": "on"
}
]
},
{
"featureType": "transit",
"elementType": "all",
"stylers": [
{
"saturation": -100
},
{
"visibility": "simplified"
}
]
},
{
"featureType": "transit",
"elementType": "geometry.fill",
"stylers": [
{
"saturation": "5"
},
{
"visibility": "on"
},
{
"lightness": "5"
}
]
},
{
"featureType": "water",
"elementType": "geometry",
"stylers": [
{
"hue": "#ffff00"
},
{
"lightness": "-24"
},
{
"saturation": -97
}
]
},
{
"featureType": "water",
"elementType": "geometry.fill",
"stylers": [
{
"saturation": "-88"
},
{
"lightness": "-23"
},
{
"visibility": "on"
}
]
},
{
"featureType": "water",
"elementType": "labels",
"stylers": [
{
"visibility": "on"
},
{
"lightness": -25
},
{
"saturation": -100
}
]
},
{
"featureType": "water",
"elementType": "labels.text",
"stylers": [
{
"weight": "0.01"
},
{
"lightness": "9"
}
]
},
{
"featureType": "water",
"elementType": "labels.text.fill",
"stylers": [
{
"lightness": "-32"
},
{
"gamma": "2.99"
}
]
}
]
Map.setOptions('Grey', {Grey: Grey})代码连接：
IDC评分是衡量用于演化层的图像好坏的一个标准。
var wsf_evo_idc = ee.ImageCollection("projects/sat-io/open-datasets/WSF/WSF_EVO_IDC");
var wsf_evo_idc = ee.ImageCollection("projects/sat-io/open-datasets/WSF/WSF_EVO_IDC"),
vis = {"opacity":1,"bands":["b30"],"max":6,"gamma":1};
print('Collection size',wsf_evo_idc.size());
print('Band size',wsf_evo_idc.first().bandNames().size())
print('Band list b1:1985 to b31:2015',wsf_evo_idc.first().bandNames())
var palette = ['#d73027','#fc8d59','#fee08b','#d9ef8b','#91cf60','#1a9850']
Map.addLayer(wsf_evo_idc.mosaic().select('b30'),{min:1,max:6,'palette':palette},'B30 IDC')License¶
The World Settlement Footprint 2015 is released under a CC0 1.0 Universal (CC0 1.0) Public Domain Dedication. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.
The World Settlement Footprint 2019 is licensed under CC-BY-4.0.
The World Settlement Footprint evolution 1985-2015 is licensed under CC-BY-4.0.
Created by : Marconcini, et al
Curated in GEE by: Samapriya Roy
Keywords: World Settlement Footprint, Settlement Extent, Urbanization, Earth Observation, Remote Sensing, Sentinel-1, Landsat-8
Last updated : 2021-12-12
