“哨兵-2A”卫星重约1.13吨,由欧洲空中客车防务与航天公司制造,预计工作寿命为7年零3个月。火箭升空约55分钟后,“哨兵-2A”卫星与火箭分离,进入距离地球表面786公里的太阳同步轨道。 卫星参数 Sentinel-2 Bands Central Wavelength (µm) Resolution (m) Bandwidth (nm) Band 1 – Coastal aerosol 0.443 60 ...
Sentinel-3卫星有两个载荷,一个是OLCI(海陆色度计),另一个是SLSTR(海陆表面温度辐射计)。OLCI是一种光学仪器,用于为ENVISAT的MERIS提供数据连续性。OLCI是一种推扫式成像光谱仪,它以300m的地面空间分辨率在21个光谱带中测量由地球反射的太阳辐射。 Sentinel-3 BOLCI产品数据集是欧洲空间局(ESA)Sentinel-3卫星收...
Each OLCI instrument has an improved design with respect to the predecessor ENVISAT-MERIS including a baseline spatial resolution of 300 m over all land and ocean, more spectral bands, a daily revisit time (using two satellites in constellation) and improved signal to noise ratio. The field-of...
AI代码解释 打开数据为:BandsB2,B3,B4,B8with10m resolution,UTM13N 投影信息:PROJCS["WGS 84 / UTM zone 13N",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],...
addBands(image3) var values = imagess.reduceRegions({ collection:training, reducer:ee.Reducer.mean(), scale:10, // crs:null, // crsTransform:null, // tileScale:true, }) print(i+"image values", values ) Export.table.toDrive({ collection:values, // description:, // folder:, // ...
for i in range(1, bands+1): ds.GetRasterBand(i).WriteArray(data) del ds run = sentinel() proj, geotrans, data = run.read_img(filename) print(np.shape(data)) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. ...
ds=driver.Create(outfile, width, height, bands, gdal.GDT_UInt16) ds.SetGeoTransform(geotrans) ds.SetProjection(proj)ifbands==1: ds.GetRasterBand(1).WriteArray(data)else:foriinrange(1, bands+1): ds.GetRasterBand(i).WriteArray(data)delds ...
在Out bands中可以选择输出入射角(以椭球面为参考、DEM校正后、投影DEM校正后)、DEM、经纬度等信息。软件处理过程中会自动下载DEM数据,时间主要耗费在这儿,若DEM已经下载好则不必重新下载。 最终结果如下:
Map.addLayer(s2Imgs.first(), {min:0, max:3000, bands:["B4", "B3", "B2"]}, "cloud"); } main(); 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25.
(-75, 3, 12);function maskClouds(img) {var clouds = ee.Image(img.get('cloud_mask')).select('probability');var isNotCloud = clouds.lt(MAX_CLOUD_PROBABILITY);return img.updateMask(isNotCloud);}// The masks for the 10m bands sometimes do not exclude bad data at// scene edges, so...