Python下载Sentinel-1/2数据

Installation

pip install sentinelsat

connect to the API

from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt
from datetime import date

api = SentinelAPI(‘user’, ‘password’, ‘https://scihub.copernicus.eu/dhus’)

download single scene by known product id

api.download()

search by polygon, time, and SciHub query keywords

footprint = geojson_to_wkt(read_geojson(’/path/to/map.geojson’)) （附言有geojson格式构造例子）
products = api.query(footprint,
date=(‘20151219’, date(2015, 12, 29)),
platformname=‘Sentinel-2’,
cloudcoverpercentage=(0, 30))

download all results from the search

api.download_all(products)

convert to Pandas DataFrame

products_df = api.to_dataframe(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()

Get the product’s full metadata available on the server

api.get_product_odata(, full=True)

Download the product’s

if product_info[‘Online’]:
print(‘Product {} is online. Starting download.’.format())
api.download()
else:
print(‘Product {} is not online.’.format())
# Download the product’s

GEOJSON标准格式学习

1.点要素Point
点要素是最简单的，类型type对应Point，然后坐标是一个1维的数组，里面有两个元素（如果是立体的坐标就是三维x,y,z），分别为经度和纬度。properties里面可以封装各种属性，例如名称、标识颜色等等。
例如：
{“type”:“Feature”,
“properties”:{},
“geometry”:{
“type”:“Point”,
“coordinates”:[105.38090375,31.57826438]
}
}
2.线要素
.线要素就是指线段，记录的是线的端点坐标，
{“type”:“Feature”,
“properties”:{},
“geometry”:{
“type”:“LineString”,
“coordinates”:[[105.60859305,30.651556287],
[107.95115649,31.98940288],
[109.37880025,30.55460206],
[107.79515625,29.95213344]]
}
}

3. 多边形Polygon
   闭合的线要素
   {“type”:“Feature”,
   “properties”:{},
   “geometry”:{
   “type”:“Polygon”,
   “coordinates”:[
   [
   [106.10557031,33.33974240],
   [106.32563575,32.41708682],
   [108.03955725,32.23136636],
   [108.25977435,33.15537849],
   [106.10503125,33.33902426]

                  ]
    }
   

   }