def sp_order(collection, long_0, lat_0, radius, filename, end_date, start_date, proj, resampling_method, resize, xmin, xmax, ymin, ymax, api_key, username, password, debug):
"""Query and order data for a given location
"""
scenelist = getSceneList(collection, long_0 = long_0, lat_0 = lat_0, xmin = xmin, xmax = xmax, ymin = ymin, ymax = ymax, radius = radius, filename = filename,\
end_date = end_date, start_date= start_date, api_key = api_key)
r = orderList(username, password, scenelist, proj, resampling_method, resize, xmin, xmax, ymin, ymax, long_0, lat_0, filename, radius, debug)
if isinstance(r, requests.models.Response):
print r.text
else:
print r
def order(scenelist, proj, resampling_method, resize, xmin, xmax, ymin, ymax, long_0, lat_0, filename, radius, username, password, debug):
"""Place espa order for a list of Landsat scenes read from file
File can be generated using the lsru query utility
"""
# TODO: investigate how to pass the products
# Read scenelist (filename) as a list
# with open(scenelist) as src:
scene_list = scenelist.read().splitlines()
r = orderList(username, password, scene_list, proj, resampling_method, resize, xmin, xmax, ymin, ymax, long_0, lat_0, filename, radius, debug)
print r.text
def order_batch(filename, collection, radius, start_date, end_date, proj, resampling_method, resize, api_key, username, password, debug):
"""Query and order data from a list of coordinates read from file
"""
# with open(filename) as src:
coord_list = [tuple(line) for line in csv.reader(filename)]
for coord in coord_list:
long_0 = float(coord[0])
lat_0 = float(coord[1])
scenelist = getSceneList(collection, long_0 = long_0, lat_0 = lat_0, radius = radius, filename = None,\
end_date = end_date, start_date = start_date, api_key = api_key)
r = orderList(username, password, scenelist, proj, resampling_method, resize,\
long_0 = long_0, lat_0 = lat_0, radius = radius, debug = debug)
if isinstance(r, requests.models.Response):
print r.text
else:
print r
print "Order complete"