这种波段组合使用了近红外波段、短波红外2波段和海岸波段，海岸波段是Landsat8独有的，可以穿透一些很小的...
下面的例子显示了Landsat 8图像从原始数据到辐射度和TOA反射率的转换: // 加载一个原始的Landsat场景并显示它varraw=ee.Image('LANDSAT/LC08/C02/T1/LC08_044034_20140318');Map.centerObject(raw,10);Map.addLayer(raw,{bands:['B4','B3','B2'],min:6000,max:12000},'raw');// 将原始数据转换为辐...
mosaic(); var visualization = { bands: ['red', 'green', 'blue'], min: 0, max: 3000 }; Map.centerObject(geometry, 10); Map.addLayer(composite, visualization, '1995 True Color Composite'); 引用 Roberts, D., Mueller, N., & Mcintyre, A. (2017). High-dimensional pixel composites...
{bands:["B4", "B3", "B2"], max:0.3}, "raw_img");Map.addLayer(ndwi1, visParam, "ndwi_1"); Map.addLayer(ndwi2, visParam, "ndwi_2"); Map.addLayer(ndwi3, visParam, "ndwi_3")
2.1.1文件输入和输出:单击Input Radiance Image,选择以上辐射亮度值数据LC81200332020291LGN00_fs.dat。打开Radiance Scale Factors 对话框,选择Use single scale factor for all bands(Single scale factor:1.000000)。 单击Output Reflectance File 按钮选择输出文件名和路径。
The two main sensors for Landsat 8 are the Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS). TheOperational Land Imager (OLI)produces 9 spectral bands (Band 1 to 9) at 15, 30, and 60-meter resolution. Then, theThermal Infrared Sensor (TIRS)consists of 2 thermal bands wi...
return image.addBands(opticalBands, null, true) //.addBands(thermalBand, null, true); } dataset = dataset.map(applyScaleFactors); var visualization = { bands: ['SR_B3', 'SR_B2', 'SR_B1'], min: 0.0, max: 0.3, }; Map.setCenter(-114.2579, 38.9275, 8); ...
varsrvis={bands: ['B4','B3','B2'],min:0,max:3000,gamma:1.4}; // 加载图层 Map.addLayer(sr,srvis,'sr'); 1. 2. 3. 4. 5. 6. 7. 8. 应用大气校正似乎大大提高了我们的图像清晰度,尤其是在上克拉马斯湖和麦格洛林山以西的农业区。
This paper explores a spectral vector-based methodology on Landsat 8 bands of the visible wavelengths, that is deep-blue (1) to shortwave infrared (7), to improve the urban land features classification. Using two different ratio models, based on two and three bands' combinations in the cloud...
就点击上方的Data Set栏，切换到所需的其他数据；例如我这里可以切换到Landsat 8，重复上述操作。