加载高分1号(GF-1)B/C/D融合影像数据集

/*** @File    :   GF1_L1A_BCD_FUSION* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载高分1号(GF-1)B/C/D融合影像数据集*/var geometry = pie.Geometry.Polygon([[115.95704187824987, 40.24852919264450],[116.74994866423373, 40.24852919264450],[116.74994866423373, 39.65103373393072],[115.96041594966925, 39.64583783862898],[115.95704187824987, 40.2485291926445]], null);
var visParams = {color: "ff0000ff", fillColor: "00000000"};
Map.addLayer(pie.FeatureCollection(pie.Feature(geometry)), visParams, "geometry");
//定位地图中心
Map.centerObject(geometry, 8)//加载高分1号(GF-1)B/C/D融合影像数据
var img = pie.ImageCollection('GF1/L1A/BCD_FUSION').filterDate("2020-01-01", "2020-04-01").filterBounds(geometry).select(["B1", "B2", "B3"]).mean().clip(geometry);
print(img);
//加载显示影像
Map.addLayer(img, {min: 0, max: 3000, bands: ["B3", "B2", "B1"]}, "img");

var img = pie.ImageCollection(‘GF1/L1A/BCD_FUSION’)
.filterDate(“2020-01-01”, “2020-04-01”)
.filterBounds(geometry)
.select([“B1”, “B2”, “B3”])
.mean()
.clip(geometry);

filterDate(start,end)
对影像集合进行指定日期范围过滤,然后返回过滤后的影像集合。
方法参数:

  • imageCollection(ImageCollection)
    ImageCollection实例。
  • start(String)
    开始日期。
  • end(String)
    结束日期。
    返回值:ImageCollection
    filterBounds(geometry)
    对影像集合进行指定空间范围过滤,然后返回过滤后的影像集合。
    方法参数:
  • imageCollection(ImageCollection)
    ImageCollection实例。
  • geometry(Geometry)
    过滤空间范围。
    返回值:ImageCollection
    mean()
    通过计算ImageCollection中的所有Image像素值的平均值,来减少数据量,返回一个Image对象。
    方法参数:
  • imageCollection(ImageCollection)
    ImageCollection实例。
    返回值:Image
    clip(geometry)
    按照指定的矢量边界裁剪影像。除了未被几何覆盖的数据被掩盖之外,裁剪前后的影像波段完全对应。裁剪后影像保留裁剪前的元数据。
    方法参数:
  • image(Image)
    Image实例。
  • geometry(Feature|Geometry|Object)
    裁剪使用的矢量边界。
    返回值:Image

加载高分1号(GF-1) WFV TOA数据集

/*** @File    :   GF1_L1A_WFV_TOA* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载高分1号(GF-1) WFV TOA数据集*///输入筛选区域
var geometry = pie.Geometry.Polygon([[115.95704187824987, 40.24852919264450],[116.74994866423373, 40.24852919264450],[116.74994866423373, 39.65103373393072],[115.96041594966925, 39.64583783862898],[115.95704187824987, 40.2485291926445]], null);
var visParams = {color: "ff0000ff", fillColor: "00000000"};
Map.addLayer(pie.FeatureCollection(pie.Feature(geometry)), visParams, "geometry");
//定位地图中心
Map.centerObject(geometry, 8)//加载高分1号(GF-1) WFV TOA数据
var img = pie.ImageCollection('GF1/L1A/WFV_TOA').filterDate("2019-09-01", "2019-12-01").filterBounds(geometry).select(["B1", "B2", "B3"]).mean().clip(geometry);
print(img);
//加载显示影像
Map.addLayer(img, {min: 0, max: 0.3, bands: ["B3", "B2", "B1"]}, "img");

加载高分2号(GF-2)正射融合产品数据集

/*** @File    :   GF2_L1A_Fusion* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载高分2号(GF-2)正射融合产品数据集*///加载高分2号(GF-2)正射融合产品
var img = pie.ImageCollection('GF2/L1A/Fusion').filterDate("2019-01-01", "2020-12-31").select(["B1", "B2", "B3"]).mosaic();
print(img);
//定位地图中心
Map.centerObject(img, 10);
//加载显示影像
Map.addLayer(img, {min: 100, max: 600, bands: ["B3", "B2", "B1"]}, "img");

var img = pie.ImageCollection(‘GF2/L1A/Fusion’)
.filterDate(“2019-01-01”, “2020-12-31”)
.select([“B1”, “B2”, “B3”])
.mosaic();

mosaic()
使用掩膜对影像集合中的Image进行合成,返回一个Image对象。
方法参数:

  • imageCollection(ImageCollection)
    ImageCollection实例。
    返回值:Image

加载JRC Global Surface Water Mapping Layers, v1.2数据集

/*** @File    :   GlobalSurfaceWater* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载JRC Global Surface Water Mapping Layers, v1.2数据集*///定位地图中心
Map.setCenter(102.513, 35.384, 4);
//加载JRC Global Surface Water Mapping Layers, v1.2数据集
var col = pie.ImageCollection('GSW1_2/GlobalSurfaceWater');
print(col.size());
//加载数据集的第一景影像
var img = col.select("occurrence").mosaic();
print(img);
//设置预览参数
var visParams = {min: 0,max: 100,palette: ['ffffff', 'ffbbbb', '0000ff']
};
//加载显示影像
Map.addLayer(img, visParams, "img");

加载全球地表覆盖GlobeLand30数据集

/*** @File    :   GlobeLand30* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载全球地表覆盖GlobeLand30数据集*///加载全球地表覆盖GlobeLand30数据
var img = pie.ImageCollection('NGCC/GLOBELAND30').filterDate("2000", "2020").select("B1").mosaic();
print(img);
//按不同地表覆盖类型值设定预览参数
visGL = {uniqueValue:'10, 20, 30, 40, 50, 60, 70, 80, 90, 100',palette: ['00FF00', '00e900', '00dF00', '00ce00', '00ba00','0002FF', '97FF00', 'FF0000', 'FFce00', 'FFFFFF']
};
//加载显示影像
Map.addLayer(img, visGL, "img");

加载Himawari-8 (葵花-8)数据集

/*** @File    :   Himawari8* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载Himawari-8 (葵花-8)数据集*/
var now = new Date();
var year = now.getFullYear();
var month=now.getMonth()+1;
var day=now.getDate();
var eday = year+"-"+month+"-"+day;
var yesterday=new Date(now.getTime()-24*60*60*1000);
year = yesterday.getFullYear();
month=yesterday.getMonth()+1;
day=yesterday.getDate();
var sday = year+"-"+month+"-"+day;
//加载Himawari-8 (葵花-8)数据
var col = pie.ImageCollection('H08/AHI-L1-G').filterDate(sday, eday);
//加载数据集的第一景影像
var img = col.first().select(["B3", "B2", "B1"]);
print(img);
//定位地图中心
Map.centerObject(img, 2);
//显示影像
Map.addLayer(img, {min:0, max:2500} ,"img");

first()

获得影像集合的第一个Image对象。
方法参数:

  • imageCollection(ImageCollection)
    ImageCollection实例。
    返回值:Image

加载吉林一号(JL1)光谱星数据集

/*** @File    :   JL1GP01* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载吉林一号(JL1)光谱星数据集*///确定筛选区域
var geometry = pie.Geometry.Polygon([[116.38524790522717, 39.525614600460550],[116.38584511918398, 39.521717119047280],[116.37677185975180, 39.520865090956150],[116.37735890840625, 39.516920297957480],[116.37694634316165, 39.515142497661610],[116.37882613439452, 39.503755501508230],[116.38741925790720, 39.504698394391795],[116.38844715160612, 39.497678354586775],[116.38706313175443, 39.497558310285580],[116.38715432686094, 39.496987157666155],[116.38854907554868, 39.497061668558690],[116.39091592233432, 39.481216624109060],[116.39178495805514, 39.481253888016140],[116.39191331802880, 39.480123174504710],[116.39244439541375, 39.479791933690250],[116.39328407260659, 39.473976859424280],[116.39427112552407, 39.474059676698610],[116.39445352014025, 39.473586110410460],[116.39504628833254, 39.473654435052640],[116.39437305381729, 39.477427052658044],[116.40156069352150, 39.478074613486385],[116.40215474323884, 39.474934529656960],[116.40359777168885, 39.475048401816190],[116.40315030182481, 39.478109315265070],[116.40328709448457, 39.478281150791200],[116.40354995096803, 39.478301853837980],[116.40320107096701, 39.480765749047350],[116.40337273234397, 39.480956210041770],[116.40434905642539, 39.481047299898220],[116.40397354716330, 39.483335639138440],[116.40410229319602, 39.483484690105605],[116.40800758952170, 39.483865596681554],[116.40757290052083, 39.486539040715440],[116.40774992631582, 39.486725345792340],[116.41102764231180, 39.487023768140420],[116.40992897785254, 39.493718453760685],[116.41010063922950, 39.493917158639580],[116.42079603325976, 39.494978654284830],[116.42102133881701, 39.494844116639420],[116.42123669685826, 39.493260977098814],[116.42346293034062, 39.493438984750710],[116.42368287147984, 39.493289955119720],[116.42454197235104, 39.488111130192010],[116.42412354774471, 39.488078009985970],[116.42425765819546, 39.487171338219085],[116.42463853187557, 39.487138217565430],[116.42494989179218, 39.485188556529710],[116.42625880979145, 39.484426755783690],[116.42840584285084, 39.470531835073870],[116.42909785277668, 39.470593951114516],[116.42934998042408, 39.470428308216235],[116.42950235433537, 39.469430151243720],[116.43021045751530, 39.469488127134650],[116.43043576307255, 39.469330763889680],[116.43058596677739, 39.468394859343530],[116.43110381934373, 39.468048186530150],[116.43196664465944, 39.462288712031640],[116.43340967310945, 39.462425383436410],[116.43298791835154, 39.465612913641216],[116.43314885089244, 39.465828264234354],[116.43530534694041, 39.466060179512475],[116.43389603641190, 39.474420907941095],[116.43309137370743, 39.474354654473530],[116.43283388164200, 39.474503724686800],[116.43083488029454, 39.486592085215990],[116.43105482143376, 39.486724568776445],[116.43811901448956, 39.486146189000685],[116.43832822679272, 39.486301444143210],[116.43788178762725, 39.489433412406660],[116.43086318487602, 39.488774618612820],[116.43059496397453, 39.488882258146380],[116.42946345174606, 39.495782648492806],[116.42964047754104, 39.495987556805610],[116.43748375894343, 39.496722932603596],[116.43653843970650, 39.502821342240420],[116.43613074393623, 39.503566385030890],[116.43540118308418, 39.504228638583770],[116.43463825358205, 39.504890885825760],[116.43388723505788, 39.505404123097550],[116.43035446810191, 39.508146305625890],[116.42916209415125, 39.509421992729855],[116.42840589212210, 39.510835486643245],[116.42786945031912, 39.512204820549954],[116.42806793378622, 39.512415888313650],[116.43065358327658, 39.512602124043205],[116.43281544374258, 39.512271037956620],[116.43264280907934, 39.512978070793430],[116.43290566556280, 39.513091880655410],[116.43682829299838, 39.512368848850080],[116.43729380488179, 39.513826981087355],[116.43751911043904, 39.513930443341720],[116.47005184728836, 39.508143378750200],[116.47022350866531, 39.507936436851270],[116.47000893194412, 39.507315607456630],[116.47742840698452, 39.506032258822210],[116.47794598889065, 39.507542509821555],[116.47823834967328, 39.507672884028810],[116.48496196985009, 39.506466841721050],[116.48530529260400, 39.507534677888420],[116.47846032168088, 39.508756910114300],[116.47810104171766, 39.509192289534260],[116.47690444347150, 39.509417841263940],[116.47675960418469, 39.509599946284970],[116.47693662997968, 39.510152861921210],[116.47564112302548, 39.510386698762480],[116.47543727514035, 39.510585355991610],[116.47561336488266, 39.511136736876710],[116.45657790372536, 39.514579925135370],[116.45965154404247, 39.524816406407000],[116.44768661554966, 39.526834014256096],[116.44807285364780, 39.528489081852300],[116.42815430736208, 39.532267522229645],[116.42660935496950, 39.532366819626930],[116.40182966882058, 39.530578306422880],[116.40088553124734, 39.530545206453574],[116.40101427728005, 39.529916304038190],[116.39414782220193, 39.529254295341480],[116.39397616082498, 39.526539993693670],[116.38524790522717, 39.525614600460550]], null);var visgeometry = {color: "ff0000ff", fillColor: "00000000"};
Map.addLayer(pie.FeatureCollection(pie.Feature(geometry)), visgeometry, "geometry", true);
//定位地图中心
Map.centerObject(geometry, 12);//加载吉林一号(JL1)光谱星数据
var img = pie.ImageCollection('CHANGGUANG/JL1GP01').filterDate("2020-1-1", "2020-12-31").filterBounds(geometry).select(["B3","B4","B5"]).mean();
print(img);
visParams = {min: 0, max: 4000, bands: ["B5","B4","B3"]};
Map.addLayer(img.clip(geometry), visParams, "img");

加载吉林一号(JL1)宽幅01星数据集

/*** @File    :   PIEImageLoad* @Time    :   2020/7/21* @Author  :   piesat* @Version :   1.0* @Contact :   400-890-0662* @License :   (C)Copyright 航天宏图信息技术股份有限公司* @Desc    :   加载吉林一号(JL1)宽幅01星数据集*///确定筛选区域
var geometry = pie.Geometry.Polygon([[116.38657680359800, 39.912207751051690],[116.39023201609167, 39.912336247658786],[116.39026814990011, 39.911190003021844],[116.39182651333776, 39.911234236273970],[116.39174171783426, 39.912388436915970],[116.39541644365201, 39.912536462296764],[116.39493686323752, 39.921206150863064],[116.38614914278280, 39.920892684375140],[116.38657680359800, 39.912207751051690]], null);
var visgeometry = {color: "ff0000ff", fillColor: "00000000"};
Map.addLayer(pie.FeatureCollection(pie.Feature(geometry)), visgeometry, "geometry", true);
//定位地图中心
Map.centerObject(geometry, 15);//加载吉林一号(JL1)宽幅01星数据
var img = pie.ImageCollection('CHANGGUANG/JL1KF01A').filterDate("2020-1-1", "2020-12-31").filterBounds(geometry).select(["B1","B2","B3"]).mean().clip(geometry);
print(img);
visParams = {min: 0, max: 255, bands: ["B3","B2","B1"]};
Map.addLayer(img, visParams, "img");

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