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- 来自专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏
Google Earth Engine ——数据全解析专辑（COPERNICUS/S2_SR）20154至今哨兵-2号(SR) 数据集
MEAN_INCIDENCE_AZIMUTH_ANGLE_B2 Double Mean value containing viewing incidence azimuth angle average MEAN_INCIDENCE_AZIMUTH_ANGLE_B6 Double Mean value containing viewing incidence azimuth angle average MEAN_INCIDENCE_AZIMUTH_ANGLE_B9 Double Mean value containing viewing incidence azimuth angle average incidence azimuth angle average for band B10 and for all detectors MEAN_INCIDENCE_AZIMUTH_ANGLE_B11 MEAN_INCIDENCE_AZIMUTH_ANGLE_B12 Double Mean value containing viewing incidence azimuth angle average
71910编辑于 2024-02-02 - 来自专栏生信菜鸟团
Seurat Weekly NO.08 || Seurat 交互系统
在Seurat V4 版本中，也官方地提出了其交互平台（Shiny app）：azimuth 并且内置了PBMC的参考数据集，可以在线分析和注释。 更上一层楼的是Seurat V4 的azimuth ，不仅可以完成在线的基本分析还可以多PBMC做基于WNN的细胞类型注释，同时在效率上也得到了提升，可以一次性在线分析更多的细胞（小于100,000 cells 地址：https://satijalab.org/azimuth/ ? 教程区： ? 除了直接在线分析也可以在自己的R中安装azimuth 包，以方便本地使用。 if (! ', ref = 'master') Azimuth::AzimuthApp() 其实有了Seurat之后用Shiny包装它并不是复杂，如Azimuth的源码，shiny完成的是对Seurat包的调用程序 / https://github.com/satijalab/azimuth https://rdrr.io/cran/miniUI/
1.6K20发布于 2021-02-03 - 来自专栏Gnep's_Technology_Blog
GNU Radio之static Target simulator底层C++实现
Azimuth [Degrees]：标的方位角，以度为单位。方位角决定了目标相对于雷达的方向。 = azimuth; d_position_rx = position_rx; d_center_freq = center_freq; // center frequency [l].resize(d_num_targets); d_timeshift_azimuth[l].resize(d_num_targets); for (int k = for (int l = 0; l < d_position_rx.size(); l++) { // Do time shift filter with azimuth 2 * GR_M_PI)); 这里的数学表达式可以表示为： 其中： 代码中的计算过程： 9、方位角和接收位置的时间延迟影响的滤波器 d_filt_time_azimuth[l][k]
60500编辑于 2024-05-26 - 来自专栏代码编写世界
使用GDAL实现DEM的地貌晕渲图(二)
namespace osg; // a b c // d e f // g h i double CalHillshade(float *tmpBuf, double Zenith_rad, double Azimuth_rad = 315.0; // double Zenith_rad = osg::DegreesToRadians(90 - solarAltitude); double Azimuth_math = 360.0 - solarAzimuth + 90; if (Azimuth_math >= 360.0) { Azimuth_math = Azimuth_math - 360.0; } double Azimuth_rad = osg::DegreesToRadians(Azimuth_math); //a b c //d , imgBuf[g],imgBuf[h], imgBuf[i] }; double Hillshade = CalHillshade(tmpBuf, Zenith_rad, Azimuth_rad
1.2K30发布于 2019-08-13 - 来自专栏防止网络攻击
QT使用QML实现地图绘制虚线
endPos.x,endPos.y) ctx.stroke() ctx.save() //**绘制文字 var azimuth = endCoordinate.azimuthTo(beginCoordinate) if(azimuth>=180) azimuth = azimuth centerY = (beginPos.y+endPos.y)/2 ctx.translate(centerX,centerY) ctx.rotate(azimuth
1.4K40编辑于 2023-10-14 - 来自专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏
GEE高阶案例——ee.Image和ee.ImageCollection的影像列表的可视化
': 104.057248542272, 'DATATAKE_TYPE': 'INS-NOBS', 'MEAN_INCIDENCE_AZIMUTH_ANGLE_B9': 105.861973902451 , 'MEAN_INCIDENCE_AZIMUTH_ANGLE_B6': 104.999263430107, 'MEAN_INCIDENCE_AZIMUTH_ANGLE_B7': 105.19973338743 , 'MEAN_INCIDENCE_AZIMUTH_ANGLE_B4': 104.599846509095, 'MEAN_INCIDENCE_ZENITH_ANGLE_B1': 9.26483116852418 ': 'PASSED', 'MEAN_INCIDENCE_AZIMUTH_ANGLE_B2': 103.845170510872, 'MEAN_INCIDENCE_AZIMUTH_ANGLE_B3': 104.253550988713, 'MEAN_INCIDENCE_ZENITH_ANGLE_B5': 9.16945293581117, 'MEAN_INCIDENCE_AZIMUTH_ANGLE_B1
64410编辑于 2024-03-18 - 来自专栏C++开发学习交流
【Python】应用：pyproj地理计算库应用
定义两个点的经纬度 lon1, lat1 = 12.4924, 41.8902 # 罗马斗兽场 lon2, lat2 = 2.2945, 48.8584 # 巴黎埃菲尔铁塔 # 计算距离和方位角 azimuth1 , azimuth2, distance = geod.inv(lon1, lat1, lon2, lat2) print(f"Distance: {distance} meters") print( f"Initial Azimuth: {azimuth1} degrees") print(f"Final Azimuth: {azimuth2} degrees") 以上。
1.1K10编辑于 2024-09-07 - 来自专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏
GEE基础学习——Hillshade山阴的计算和显示
.divide(180); } // Define a function to compute a hillshade from terrain data // for the given sun azimuth var azimuth = radians(ee.Image(az)); var zenith = radians(ee.Image(ze)); // Note that methods on operators (e.g. +, -, /, *) do not work on images. // The following implements: // Hillshade = cos(Azimuth - Aspect) * sin(Slope) * sin(Zenith) + // cos(Zenith) * cos(Slope) return azimuth.subtract(aspect 其次就是定义一个新的函数，来计算太阳方位角和高程并通过返回值计算 Hillshade = cos(Azimuth - Aspect) * sin(Slope) * sin(Zenith) +cos(Zenith
37010编辑于 2024-02-01 - 来自专栏单细胞天地
单细胞分析十八般武艺8：Garnett
分类 Azimuth的详细说明和使用方法见《单细胞分析十八般武艺5：monocle3》中的利用azimuth鉴定细胞类型部分。 ## 细胞分类之Azimuth pbmc_counts <- pbmc@assays$RNA@counts saveRDS(pbmc_counts, "pbmc_counts.rds") #上传http ://azimuth.satijalab.org/app/azimuth网站在线分类，分类结果为azimuth_pred.tsv文件 predictions <- read.delim('azimuth_pred.tsv pbmc, group.by = "predicted.id", label = T, label.size = 3) + ggtitle("Classified by Azimuth ") ggsave("Azimuth.png", p, width = 8, height = 6) p <- DimPlot(pbmc, group.by = "SingleR", label = T
3K21发布于 2021-04-29 - 来自专栏气python风雨
CINRAD | 新功能测试 极坐标转换经纬度函数以及cappi预告
', 'KDP', 'SNRH'] REF = ds1.get_data(2, 230, 'REF') REF <xarray.Dataset> Size: 11MB Dimensions: (azimuth : 366, distance: 920) Coordinates: * azimuth (azimuth) float32 1kB 5.646 5.664 5.681 ... 5.614 5.631 , distance) float64 3MB nan nan nan nan ... nan nan nan longitude (azimuth, distance) float64 3MB 110.2 110.2 110.2 ... 108.9 108.9 latitude (azimuth, distance) float64 3MB 20.0 20.0 20.0 ... 21.66 21.66 height (azimuth, distance) float64 3MB 0.1245 0.1311 ... 9.214 9.227 Attributes: elevation
7610编辑于 2026-04-24 - 来自专栏气python风雨
如何使用 Python 更加精确地计算两地距离
例如： from pygc import great_circle result = great_circle(distance=111000, azimuth=65, latitude=30, longitude = np.arange(0, 360, 10) # 每隔10度计算一个点 # 计算新点位置 results = [great_circle(distance=distance_km*1000, azimuth plt.show() 创建雪花形分布的多个点 为了生成以某个中心点为中心向不同方向延伸的多个点，你可以这样操作： 简单示例 result = great_circle(distance=100000, azimuth ': array([0., 0.]), 'reverse_azimuth': array([180., 180.])} = result['azimuth'][0] # 方位角 print(f"从雷达站到目标的距离是 {distance_to_target:.2f} 米，方位角是 {azimuth_to_target
76110编辑于 2025-02-08 - 来自专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏
Google Earth Engine ——数据全解析专辑（COPERNICUS/S5P/NRTI/L3_O3） O3 浓度的实时高分辨率图像数据集
,sensor_zenith_angle,solar_azimuth_angle, solar_zenith_angle)' S5P_NRTI_L2__O3_____20180710T230038_20180710T230538 documents/247904/3119978/Sentinel-5P-Level-2-Input-Output-Data-Definition), p.220. 0 1 fraction sensor_azimuth_angle Azimuth angle of the satellite at the ground pixel location (WGS84); angle measured East-of-North. - the ground pixel location (WGS84); angle measured away from the vertical. 0.098 66.44 degrees solar_azimuth_angle Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North. -180 180
42010编辑于 2024-02-02 - 来自专栏气python风雨
雷达系列 | 基于pycwr库学习cython加速技巧
的 math 模块 from libc.math cimport sin, cos, asin def antenna_to_cartesian_cy(double ranges, double azimuth cdef double PI = 3.141592653589793 cdef double R = 8494666.6666666661 cdef double theta_a = azimuth = np.where(az >= 0, az, 2 * np.pi + az) * 180 / np.pi return azimuth, ranges, elevation %%cython + ranges ** 2 - (R + z) ** 2) / (2 * (R + h) * ranges)) - PI / 2) * 180.0 / PI azimuth = xy_to_azimuth_cy(x, y) return azimuth, ranges, elevation === 性能对比 === Python (NumPy): CPU times
7510编辑于 2026-04-24 - 来自专栏气python风雨
雷达系列：两种方法将气象雷达数据转为易处理的格式
: 366, distance: 1600) Coordinates: • azimuth (azimuth) float32 1kB 4.689 4.707 4.724 ... 4.658 4.675 110.2 110.2 ... 106.4 106.4 latitude (azimuth, distance) float64 5MB 20.0 20.0 20.0 ... 19.92 19.92 height (azimuth, distance) float64 5MB 0.1201 0.1222 ... 12.89 12.9 Attributes: elevation: : 366, distance: 1600) Coordinates: • azimuth (azimuth) float32 1kB 5.646 5.664 5.681 ... 5.614 5.631 110.2 110.2 ... 107.9 107.9 latitude (azimuth, distance) float64 5MB 20.0 20.0 20.0 ... 22.9 22.9
1.7K11编辑于 2024-09-12 - 来自专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏
Google Earth Engine ——数据全解析专辑（COPERNICUS/S5P/OFFL/L3_AER_AI和LH）气溶胶指数数据集
2001, 50.000000, 0.01, 2001, -120.000000, 0.01); keep(absorbing_aerosol_index,sensor_altitude,sensor_azimuth_angle , sensor_zenith_angle,solar_azimuth_angle,solar_zenith_angle)' S5P_OFFL_L2__AER_AI_20181030T213916 Azimuth angle of the satellite at the ground pixel location (WGS84); angle measured East-of-North. - the ground pixel location (WGS84); angle measured away from the vertical. 0.098 66.87 degrees solar_azimuth_angle Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North. -180 180
31210编辑于 2024-02-02 - 来自专栏数据科学（冷冻工厂）
空间单细胞｜基于图像的数据分析（3）
对于这个数据集，我们并没有进行无监督分析，而是将Nanostring的分析结果与我们的Azimuth健康人类肺脏参考数据库进行对比，这个数据库是通过单细胞RNA测序（scRNA-seq）技术建立的。 我们使用的是Azimuth软件的0.4.3版本以及人类肺脏参考数据库的1.0.0版本。你可以在指定的链接下载预先计算好的分析结果，这些结果包括了注释信息、预测分数以及UMAP的可视化图。 = "/brahms/hartmana/vignette_data/nanostring/lung5_rep1", fov = "lung5.rep1") # add in precomputed Azimuth annotations azimuth.data <- readRDS("/brahms/hartmana/vignette_data/nanostring_data.Rds") nano.obj < - AddMetaData(nano.obj, metadata = azimuth.data$annotations) nano.obj[["proj.umap"]] <- azimuth.data$
50310编辑于 2024-07-05 - 来自专栏好奇心Log
X波段双极化相控阵天气雷达基数据的python读取方法
'] = BaseDataHeader['TaskConfig']['Azimuth'] * (360.0 / 65535.0) BaseDataHeader['TaskConfig' _parse_BaseDataHeader(buf_header) #print(round(radial_header['TaskConfig']['Azimuth' #print(radial_header['TaskConfig']['StartGateRange']) RadialDict['Azimuth '] = radial_header['TaskConfig']['Azimuth'] if el == 0: Azimuth_list.append (RadialDict['Azimuth']) RadialDict['Elevation'] = radial_header['TaskConfig']['Elevation
4.4K40发布于 2021-11-10 - 来自专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏
Google Earth Engine ——数据全解析专辑（COPERNICUS/S5P/NRTI/L3_AER_AI）紫外线气溶胶指数 (UVAI) 的近实时高分辨率数据集
2001, 50.000000, 0.01, 2001, -120.000000, 0.01); keep(absorbing_aerosol_index,sensor_altitude,sensor_azimuth_angle , sensor_zenith_angle,solar_azimuth_angle,solar_zenith_angle)' S5P_NRTI_L2__AER_AI_20181113T080042 Azimuth angle of the satellite at the ground pixel location (WGS84); angle measured East-of-North. - at the ground pixel location (WGS84); angle measured away from the vertical. 0.09 67 degrees solar_azimuth_angle Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North. -180 180
31310编辑于 2024-02-02 - 来自专栏GEE数据专栏，GEE学习专栏，GEE错误集等专栏
Google Earth Engine ——数据全解析专辑（COPERNICUS/S5P/OFFL/L3_AER_AI）紫外线气溶胶指数 (UVAI) 数据集
0.01); keep(aerosol_height,aerosol_pressure,aerosol_optical_depth, sensor_zenith_angle,sensor_azimuth_angle ,solar_azimuth_angle,solar_zenith_angle)' S5P_OFFL_L2__AER_LH_20190404T042423_20190404T060554_07630_01 The optical thickness holds for 760 nm. -0.6 11.56 Pa sensor_azimuth_angle Azimuth angle of the satellite the ground pixel location (WGS84); angle measured away from the vertical. 0.098 66.87 degrees solar_azimuth_angle Azimuth angle of the Sun at the ground pixel location (WGS84); angle measured East-of-North. -180 180
36010编辑于 2024-02-02 - 来自专栏代码编写世界
使用GDAL实现DEM的地貌晕渲图(三)
return temp; } // a b c // d e f // g h i double CalHillshade(float *tmpBuf, double Zenith_rad, double Azimuth_rad solarAzimuth = 315.0; // double Zenith_rad = osg::DegreesToRadians(90 - solarAltitude); double Azimuth_math = 360.0 - solarAzimuth + 90; if (Azimuth_math >= 360.0) { Azimuth_math = Azimuth_math - 360.0; } double Azimuth_rad = osg::DegreesToRadians(Azimuth_math); //a b c //d e f //g h i double z_factor imgBuf[f], imgBuf[g],imgBuf[h], imgBuf[i] }; double Hillshade = CalHillshade(tmpBuf, Zenith_rad, Azimuth_rad
1.7K31发布于 2019-08-13
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