telecharger image landsat 8 par script

**soma12** · 13/10/2018, 23h44

Bonjour :
j'aimerai faire un script pour telecharger des produits landsat mais j arrive pas

j'ai trouver c script pour telecharger sentinel 2 mais il m arche plus

besoin d aide svp

voila

Code :

Sélectionner tout - Visualiser dans une fenêtre à part

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
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
@author: maji
"""
 
# connect to the API
import sentinelsat
from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt
from datetime import date
from collections import OrderedDict
import panda as pd
 
api = SentinelAPI("username", "mot de passe",https://scihub.copernicus.eu/dhus/#/home '')
 
### download single scene by known product id
### api.download(<product_id>)
 
# search by polygon, time, and SciHub query keywords, polygone geojson en WGS84 obligatoire
# possibilité de faire une recherche directement avec les corrdonnée d'un polygone ou d'un point
footprint = geojson_to_wkt(read_geojson('test.geojson'))
products = api.query(footprint,
                     date=("20160713", "20160722"),
                     platformname="sentinel-2",
                     cloudcoverpercentage=(0, 10))                     
                     # d'autres filtre sont disponibles et adaptés à chaque plateforme:
                     # date = ("NOW-2DAYS","NOW")
                     # producttype = "GRD",
                     # orbitdirection = "ascending",
                     # polarisationmode = "VV + VH",
                     # sensoroperationamode = "IW",
print(products)
 
# convert to Pandas DataFrame
products_df = api.to_dataframe(products)
 
# sort and limit to first 5 sorted products
products_df_sorted = products_df.sort_values(['cloudcoverpercentage', 'ingestiondate'], ascending=[True, True])
print(product_df_sorted)
products_df_sorted = products_df_sorted.head(5)
 
# download all results from the search
api.download_all(products)
 
# download sorted and reduced products
api.download_all(products_df_sorted['id'])
 
# 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)
[23:15, 13/10/2018] Zik: # 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(<product_id>)
 
# search by polygon, time, and SciHub query keywords
footprint = geojson_to_wkt(read_geojson('map.geojson'))
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)
 
# 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)

svp c ou le problem j travaille avec pthon2 sur anaconda j ai instaler gdal et sentinelsat aussi