利用python批量下载sentinel1数据

系统管理员 2022-02-28 13:16 342阅读 0赞

最近需要下载同一景的sentinel数据，最后搜了一下决定使用python

使用的python包如该链接[https://pypi.org/project/sentinelsat/][https_pypi.org_project_sentinelsat]

里面也有详细说明文档

因此这里只粘贴代码了

from sentinelsat.sentinel import SentinelAPI, read_geojson, geojson_to_wkt
    from datetime import date
    from collections import OrderedDict
    
    # connect to the API
    api = SentinelAPI('****', '****', 'https://scihub.copernicus.eu/dhus')
    
    # download single scene by known product id
    #api.download(<product_id>)
    
    # search by polygon, time, and Hub query keywords
    #footprint = geojson_to_wkt(read_geojson('map.geojson'))date = ('2015-01-01T08:17:06Z','2016-01-01T01:12:15Z')
    
    footprint='POLYGON((-22.8515625 76.382969, 15.029296875 76.38297, 15.029296875 81.678786, -22.8515625 81.678786, -22.8515625 76.382969))'
    products = api.query(area=footprint,date=('20180101', date(2018, 1,31)),filename='S1B_*',
                         platformname = 'Sentinel-1',relativeorbitnumber=24,polarisationmode='HH HV',producttype='GRD',swathidentifier='EW')
    #print(products)
    downfiles=OrderedDict()
    for i in products:
        product=products[i]
        filename=product['filename']
        print(filename) 
        #print filename[26:30]
        if filename[26:30] == '0817':
            downfiles[i]=product
            print('YES,it works!')        
           # api.download(i)
        else:
            print('NO!')
            products.pop(i)
            
            
    # download all results from the search
    successfile=api.download_all(products)
    
    # GeoJSON FeatureCollection containing footprints and metadata of the scenes
    #api.to_geojson(products)
    
    # GeoPandas GeoDataFrame with the metadata of the scenes and the footprints as geometries
    #api.to_geodataframe(products)
    
    # Get basic information about the product: its title, file size, MD5 sum, date, footprint and
    # its download url
    #api.get_product_odata(<product_id>)
    
    # Get the product's full metadata available on the server
    #api.get_product_odata(<product_id>, full=True)

目前代码还有没有完善的地方是，如果出现异常则下载就会中断，程序无法继续，还在修改当中

[https_pypi.org_project_sentinelsat]: https://pypi.org/project/sentinelsat/