客流分析系统 白皮书_王爷到 电视剧_宁波seo优化排名_最近新闻有哪些

目录

1 完整代码

2 运行结果

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1 完整代码

//感兴趣的区域信息
var roi = ee.FeatureCollection('projects/ee-zhangkanghnust/assets/HengShaoLou');Map.centerObject(roi);
Map.addLayer(roi, {'color': 'grey'}, 'roi');// Applies scaling factors.
function applyScaleFactors(image) {var opticalBands = image.select('SR_B.').multiply(0.0000275).add(-0.2);var thermalBands = image.select('ST_B.*').multiply(0.00341802).add(149.0);return image.addBands(opticalBands, null, true).addBands(thermalBands, null, true);
}function rmCloudNew(image) {var cloudShadowBitMask = (1 << 4);var cloudsBitMask = (1 << 3);var qa = image.select('QA_PIXEL');var mask = qa.bitwiseAnd(cloudShadowBitMask).eq(0).and(qa.bitwiseAnd(cloudsBitMask).eq(0));return image.updateMask(mask).copyProperties(image).copyProperties(image, ["system:time_start"]);
}var get_NDVI = function(image) {var NDVI = image.normalizedDifference(['nir', 'red']).rename(['NDVI']);image = image.addBands(NDVI);return image.select("NDVI");
};var L8 = ee.ImageCollection('LANDSAT/LC08/C02/T1_L2').filterBounds(roi).filter(ee.Filter.calendarRange(2014, 2023, 'year')).filter(ee.Filter.calendarRange(1, 12, 'month')).map(applyScaleFactors).select(['SR_B4', 'SR_B5', 'QA_PIXEL'], ['red', 'nir', 'QA_PIXEL']).map(rmCloudNew).map(get_NDVI);var L7 = ee.ImageCollection('LANDSAT/LE07/C02/T1_L2').filterBounds(roi).filter(ee.Filter.calendarRange(2012, 2013, 'year')).filter(ee.Filter.calendarRange(1, 12, 'month')).map(applyScaleFactors).select(['SR_B3', 'SR_B4', 'QA_PIXEL'], ['red', 'nir', 'QA_PIXEL']).map(rmCloudNew).map(get_NDVI);var L5 = ee.ImageCollection('LANDSAT/LT05/C02/T1_L2').filterBounds(roi).filter(ee.Filter.calendarRange(1986, 2011, 'year')).filter(ee.Filter.calendarRange(1, 12, 'month')).map(applyScaleFactors).select(['SR_B3', 'SR_B4', 'QA_PIXEL'], ['red', 'nir', 'QA_PIXEL']).map(rmCloudNew).map(get_NDVI);var Landsat = ee.ImageCollection(L8.merge(L7).merge(L5)).sort("system:time_start");// print("Landsat_data", Landsat);var precipitationVis = {min: -1,max: 1,palette: ["FFFFFF", "CE7E45", "DF923D", "F1B555", "FCD163","99B718", "74A901", "66A000", "529400", "3E8601","207401", "056201", "004C00", "023B01", "012E01","011D01", "011301"],
};for (var i = 1986; i <= 2023; i++) {var ndvi_year = Landsat.filterDate(i + '-01-01', i + '-12-31').select('NDVI');var ndvi_mean = ndvi_year.mean().clip(roi);// print(i, ndvi_mean);// Map.addLayer(ndvi_mean, precipitationVis, i + '_ndvi_mean', false);Export.image.toDrive({image: ndvi_mean,description: i + 'year_mean',region: roi,scale: 30,maxPixels: 1e13,folder: 'NDVI_year'});
}var years = ee.List.sequence(1986, 2023);var collectYear = ee.ImageCollection(years.map(function(y) {var start = ee.Date.fromYMD(y, 1, 1);var end = start.advance(12, 'month');return Landsat.filterDate(start, end).reduce(ee.Reducer.mean()).float().set('system:time_start', y).set('year', y);})
);print(collectYear, "ndvi_year");var result_land = collectYear.mean().clip(roi);
print(result_land, 'ndvi_mean');
Map.addLayer(result_land, precipitationVis, 'ndvi_mean');Export.image.toDrive({image: result_land,description: 'ndvi_mean',region: roi,scale: 30,maxPixels: 1e13,folder: 'NDVI_year'
});var Yearly_chart = ui.Chart.image.series({imageCollection: collectYear.select('NDVI_mean'),region: roi,reducer: ee.Reducer.mean(),scale: 500,xProperty: 'year',
}).setOptions({interpolateNulls: true,lineWidth: 2,title: 'NDVI Yearly Series',vAxis: {title: 'NDVI'},hAxis: {title: 'Date'},trendlines: {0: {title: 'NDVI_trend', type: 'linear', showR2: true, color: 'red', visibleInLegend: true}}
});print(Yearly_chart);

2 运行结果