8

I want to login to the USGS Earth Explorer website at http://earthexplorer.usgs.gov/ with Python and download imagery from the Landsat Archive collection just by giving it username,password,path/row (or lat/long), date, and cloud cover threshold. I already tried this: https://github.com/olivierhagolle/LANDSAT-Download/wiki It didn't work. Then I looked into this: https://github.com/developmentseed/landsat-util But I could not add the tool due to work restrictions so can't use that.

So. I have limited Python experience and never accessed a website with it before. I'm using Python 2.7.8 on a Windows 7 and trying to access the website through Chrome (Version 51.0.2704.106 m if that helps)

Any ideas for a simple script to access the website, login (I already have login credentials), search for imagery, and download it to a folder? It seems like something Python should be able to do but all of the online solutions seem too advanced for me. I just need a standalone script that I can use over and over again with different coordinates and dates.

  • landsat-util is just a python script. If you can't add dependencies, you might need to say what you already have. Can you use mapbox.github.io/usgs (also github.com/mapbox/usgs)? – BradHards Jul 7 '16 at 22:21
  • 1
    Note that saying "It didn't work" is a surefire way of making people ignore your question. "It didn't work" doesn't tell us anything useful. If you want help making it work then edit your question with more information. – user2856 Jul 8 '16 at 0:14
  • @Luke: as in, i ran it and it did not accomplish the task. It did not log in to the website or download the files. I'm not sure how that could be misconstrued. The script does. not. work. So, I am looking for alternative methods. – MattS Jul 8 '16 at 13:07
  • 1
    Just being devils advocate, whats wrong with the BDA application for bulk download? – Hornbydd Jul 8 '16 at 15:30
  • @Hornbydd: there is nothing wrong with the BDA. I use it all the time. I guess that is my only real option. There is no good Pythonic way. – MattS Jul 8 '16 at 15:54
0

I use the BDA application for downloading whole scenes. However; I recently have been Using the Google Earth Engine python API and a module at https://github.com/loicdtx/landsat-extract-gee and it works very well for single pixel extraction, but whole scenes are easy to do as well. Easy to set up, decently documented, just make sure to go through the "whitelist" acceptance protocol or you will get the 403 Error.

0

I got the VERY messy code that I use to download all Landsat data by setting Path and Row parameters. Also there are some arcpy and custom functions that is not nescessary for you. You can clear this code to adapt it for your purposes (comments are in russian):

# -*- coding: utf-8 -*-
import os
import sys
import shutil
import subprocess
import traceback
import time
import requests
from pprint import pprint

# выключить предупреждение
requests.packages.urllib3.disable_warnings()
# -----------------------------------------------------------
def find_scenes_in_DB(FC_in_GDB, field_names_list = ['ID', 'ARCHIVE']):
    with arcpy.da.SearchCursor(FC_in_GDB, field_names_list) as DB_cursor:
        uniq_sat_name = sorted({row[0] for row in DB_cursor})
        DB_cursor.reset()
        uniq_sat_archive = sorted({row[1] for row in DB_cursor})
    uniq_sat_name += uniq_sat_archive  
    return uniq_sat_name
# -----------------------------------------------------------
# замеры времени
def Time_now():
    return time.time()
# -----------------------------------------------------------
def Time_elapsed(time_start, time_end):
    return time_end - time_start
# -----------------------------------------------------------
# сгенерировать текст запроса (URL) и вернуть его в виде текста

def generate_json_request(
        request_code,
        json_request_content,
        http_service_endpoint=r'https://earthexplorer.usgs.gov/inventory/json/v/1.4.0/'
):
    return str(http_service_endpoint + request_code + r'?jsonRequest=' + json_request_content)
# -----------------------------------------------------------
# авторизироваться на сайте и получить токен доступа
def login(username, password, catalogId, authType = 'EROS'):
    URL = generate_json_request(
        request_code='login',
        json_request_content='{' +
        '"username":"'    + username  +
        '","password":"'  + password  +
        '","authType":"'  + authType  + 
        '","catalogId":"' + catalogId +
        '"}'
    )

    # послать POST запрос
    answer = requests.post(URL)

    # проверка прошёл ли запрос
    check_answer = (answer.status_code, answer.reason)

    if check_answer != (200, 'OK'):
        print u'Ошибка! Сайт не доступен.', check_answer, u'Ссылка:'
        print URL[:150], '...'
        return None

    else:
        # если ошибка (авторизация провалена)
        if answer.json()['errorCode'] is not None:
            print u'Ошибка!', answer.json()['errorCode'] + ':', answer.json()['error']

            # else:
            #     print u'Авторизация успешна! Токен:', answer.json()['data']
        return answer.json()['data']

# удалить токен авторизации
def logout(apiKey):
    if apiKey is not None:

        URL = generate_json_request(
            request_code='logout',
            json_request_content='{"apiKey":"' + apiKey + '"}'
        )

        # послать POST запрос
        answer = requests.post(URL)

        # проверка прошёл ли запрос
        check_answer = (answer.status_code, answer.reason)

        if check_answer != (200, 'OK'):
            print u'Ошибка! Сайт не доступен.', check_answer, u'Ссылка:'
            print URL[:150], '...'

        else:
            # если ошибка
            if answer.json()['errorCode'] is not None:
                #            print u'Ошибка!', answer.json()['errorCode'] + ':', answer.json()['error']
                return None

            else:
                #            if  answer.json()['data'] == False:
                #                print u'Токен НЕ удалён.'
                #                pprint(answer.json())
                #            else:
                #                print u'Токен удалён.'
                return answer.json()['data']

def datasetfields(datasetName, apiKey, node='EE'):
    URL = generate_json_request(
        request_code='datasetfields',
        json_request_content='{"apiKey":"' + apiKey + '", "node": "' + node + '", "datasetName": "' + datasetName + '"}'
    )

    # послать POST запрос
    answer = requests.post(URL)

    # проверка прошёл ли запрос
    check_answer = (answer.status_code, answer.reason)

    if check_answer != (200, 'OK'):
        print u'Ошибка! Сайт не доступен.', check_answer, u'Ссылка:'
        print URL[:150], '...'

    else:
        # если ошибка
        if answer.json()['errorCode'] is not None:
            print u'Ошибка!', answer.json()['errorCode'] + ':', answer.json()['error']
            return None
        else:
            return answer.json()

# сформировать критерий поиска снимков на основе списка Path Row
def additionalCriteria(list_Path_Row, datasetName):
    additionalCriteria = '{"filterType":"or", "childFilters":['
    # первая итерация?
    first_time = True

    for x in datasetfields(datasetName, apiKey).get('data'):
        if x.get('name') == 'WRS Path': Path_fieldId = x.get('fieldId')
        if x.get('name') == 'WRS Row':   Row_fieldId = x.get('fieldId')

    for PR in list_Path_Row:
        Path = str(PR[0])
        Row = str(PR[1])

        filter_Path = '{"filterType":"value", "fieldId":' + str(Path_fieldId) + ', "value":"' + Path + '", "operand":"="}'  # "fieldId":10036 - PATH
        filter_Row = '{"filterType":"value", "fieldId":' + str(Row_fieldId) + ', "value":"' + Row + '", "operand":"="}'  # "fieldId":10038 - ROW
        filter_And = '{"filterType":"and", "childFilters":[' + filter_Path + ',' + filter_Row + ']}'

        # если первая - не добавляем запятую в начало
        if first_time == True:
            additionalCriteria += filter_And
            first_time = False
        else:
            additionalCriteria += ' ,' + filter_And

    additionalCriteria += ']}'
    return additionalCriteria

# поиск снимков
def search_scenes(datasetName, list_Path_Row, apiKey,
                  startDate='2016-05-01T00:00:00Z',
                  endDate='2100-01-01T00:00:00Z',
                  months=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],
                  maxResults=10,
                  ):
    URL = generate_json_request(
        request_code='search',
        json_request_content='{"datasetName":"' + datasetName + '"' + \
                             ',"temporalFilter":{"dateField": "search_date","startDate":"' + startDate + '","endDate":"' + endDate + '"}' + \
                             ',"months":' + str(months) + \
                             ',"maxResults":' + str(maxResults) + \
                             ',"additionalCriteria":' + additionalCriteria(list_Path_Row, datasetName) + \
                             ',"node":"EE","apiKey":"' + apiKey + '"}'
    )

    # послать POST запрос
    answer = requests.post(URL)

    # проверка прошёл ли запрос
    check_answer = (answer.status_code, answer.reason)

    if check_answer != (200, 'OK'):
        print u'Ошибка! Сайт не доступен.', check_answer, u'Ссылка:'
        print URL[:150], '...'
        print
        print URL

    else:
        # если ошибка
        if answer.json()['errorCode'] is not None:
            print u'Ошибка!', answer.json()['errorCode'] + ':', answer.json()['error']
            return None
        else:
            if answer.json()['data'] in (None, ''):
                print u'Снимков не найдено.'
            else:
                number_of_scenes = answer.json()['data']['totalHits']

            dwnld_URL_list = []
            for scene in answer.json()['data']['results']:
                dwnld_URL_list.append(scene['entityId'])

            return dwnld_URL_list

# вернуть список URL для прямой закачки снимков
def get_download_list(datasetName, entityIds, apiKey, node='EE', products='["STANDARD"]'):
    entityIds = str(['"' + x.encode('UTF8') + '"' for x in entityIds]).replace("'", '')

    URL = generate_json_request(
        request_code='download',
        json_request_content='{' + \
                             '"datasetName": "' + datasetName + '",' + \
                             '"apiKey": "' + apiKey + '",' + \
                             '"node": "' + node + '",' + \
                             '"entityIds": ' + str(entityIds) + ',' + \
                             '"products": ' + products + \
                             '}'
    )

    # послать POST запрос
    answer = requests.post(URL)

    # проверка прошёл ли запрос
    check_answer = (answer.status_code, answer.reason)

    if check_answer != (200, 'OK'):
        print u'Ошибка! Сайт не доступен.', check_answer, u'Ссылка:'
        print URL[:150], '...'
        return None

    else:
        # если ошибка (авторизация провалена)
        if answer.json()['errorCode'] is not None:
            print u'Ошибка!', answer.json()['errorCode'] + ':', answer.json()['error']
        return answer.json()['data']

# делаем список уже закаченных файлов
def list_of_scenes_in_archive(archive_path):
    # archive_path = archive_path.decode('utf-8')
    loaded = []
    dirList = os.listdir(archive_path)
    for fname in dirList:
        fname = fname[:fname.rfind('.')]  # удаляются 4 последних знака (в моём случае это ".rar")
        loaded.append(fname)
    return loaded

# скачать и сохранить файл
def download_file(url, file_path):
    r = requests.get(url, timeout=120, stream=True)
    with open(file_path, 'wb') as f:
        for chunk in r.iter_content(chunk_size=1024):
            f.write(chunk)
    return file_path

# тестировать файл формата tar.gz
def test_gz_archive(archive_path, GZIP_path):
    coding = 'cp1251'
    GZIP_path = GZIP_path.encode(coding)
    archive_path = archive_path.encode(coding)
    cmd_list = [GZIP_path, '-t', archive_path]
    # запуск консоли и выполнение команды в скрытном режиме с выводом
    subprocess.check_output(cmd_list, stderr=subprocess.STDOUT, shell=True)

def main(username, password, catalogId, datasets, WRS_2_Path_Row_list, WRS_1_Path_Row_list, archive_path, temp_dwnld_folder, FC_in_GDB):
    while True:

        try:
            print time.strftime("%d.%m.%Y %H:%M:%S"),
            global apiKey  # глобальная переменная!!!
            apiKey = login(username, password, catalogId)  # авторизация

            # список уже закаченных снимков
            loaded = list_of_scenes_in_archive(archive_path)
            print u"Всего файлов в локальном хранилище:", len(loaded)

            loaded_2 = find_scenes_in_DB(FC_in_GDB)
            loaded += loaded_2

            for dataset in datasets:
                # print '---------------------------'
                print u'Набор данных:', dataset

                if dataset in 'LANDSAT_MSS':
                    list_Path_Row = WRS_1_Path_Row_list
                else:
                    list_Path_Row = WRS_2_Path_Row_list

                # делаем запросы на каждый отдельный Path-Row, чтобы не превысить ограничение по длине URL
                for path_row in list_Path_Row:

                    entityIds = search_scenes(datasetName=dataset,
                                              list_Path_Row=[path_row],
                                              apiKey=apiKey,
                                              maxResults=50000)

                    # список сцен которых нет в архиве
                    dwnld_list = list(set(entityIds) - set(loaded))

                    if len(dwnld_list) > 0:
                        print time.strftime("%d.%m.%Y %H:%M:%S"),
                        print u'Path Row:', str(path_row[0]), str(path_row[1]) + '.',
                        print u'Всего снимков:', str(len(entityIds)) + '.',
                        print u'Новых:', str(len(dwnld_list)) + '.',
                        print u'Закачка файлов:'

                        # получаем сслыку на закачку для каждой отдельной сцены
                        for (scene_num, dwnld_scene) in enumerate(dwnld_list):

                            DICTs_list = get_download_list(dataset, [dwnld_scene], apiKey, node='EE',
                                                          products='["STANDARD"]')

                            # скачать снимки
                            for DICT in DICTs_list:
                                print time.strftime("%d.%m.%Y %H:%M:%S"), u'Cнимок:',
                                URL = DICT[u'url']

                                # формирование пути
                                scene_product_ID = URL[URL.rfind('/') + 1:URL.rfind('.tar.gz?')]   # название снимка по-новому
                                scene_ID = DICT[u'entityId'] # название снимка по-старому

                                scene_path = os.path.join(temp_dwnld_folder, scene_product_ID + u'.tar.gz')

                                print str(scene_num + 1), scene_product_ID

                                time_start = Time_now()  # текущее время (начало закачки)

                                try:
                                    ##                                    print
                                    ##                                    print '-'*10
                                    ##                                    print URL
                                    ##                                    print scene_path
                                    real_file_len = requests.head(URL).headers[
                                        'content-length']  # размер файла на сервере
                                    download_file(URL, scene_path)  # закачка
                                    dwnld_file_len = str(long(os.path.getsize(scene_path)))  # размер закаченного файла                                    

                                    if os.path.isfile(scene_path):
                                        if real_file_len != dwnld_file_len:                                            
                                            os.remove(scene_path)
                                            print u'<= DEL, файл не докачался'

                                    # print real_file_len
                                    # print dwnld_file_len
                                    # print real_file_len == dwnld_file_len
                                    # print '-'*10

                                    # проверка архива
                                    # test_gz_archive(scene_path, GZIP_path = ur'G:\Install\GZIP\gzip.exe')

                                    if scene_num + 1 != len(dwnld_list):  # вывести запятую
                                        print ',',

                                # если ошибка при закачке - удалить недокаченный файл
                                except:
                                    print u'<= DEL,',
                                    if os.path.isfile(scene_path):
                                        os.remove(scene_path)

                                    traceback.print_exc()  # напечатать ошибку

                                time_end = Time_now()  # текущее время (конец закачки)

                                # если закачка была менее или равно 60 минут назад
                                if Time_elapsed(time_start, time_end) <= 60 * 60:
                                    logout(apiKey)
                                    apiKey = login(username, password, catalogId)  # авторизация

                                elif Time_elapsed(time_start, time_end) > 60 * 60:
                                    apiKey = login(username, password, catalogId)  # авторизация

            # если авторизация была успешной - удалить токен авторизации
            if apiKey is not None: logout(apiKey)

        # если в процессе выполнения была ошибка
        except:
            try:
                logout(apiKey)  # удалить токен авторизации
            except:
                pass
            print
            traceback.print_exc()  # напечатать ошибку

        print time.strftime("%d.%m.%Y %H:%M:%S") + u' =========== Повтор через час ===========\n'
        time.sleep(3600)


if __name__ == "__main__":

    WRS_2_Path_Row_list=[
        [165, 14], [166, 14],
    ]

    WRS_1_Path_Row_list=[
        [182, 13], [176, 14],
    ]


    main(
        username='username',
        password='password',
        catalogId = "EE",  # возможные параметры catalogId: "EE" "GLOVIS" "HDDS" "LPCS"

        datasets=[
            'LANDSAT_8_C1',
##            'LANDSAT_8_PREWRS',
##            'LANDSAT_ETM_C1',
##            'LANDSAT_TM_C1',
##            'LANDSAT_MSS',
        ],
        WRS_2_Path_Row_list=WRS_2_Path_Row_list,
        WRS_1_Path_Row_list=WRS_1_Path_Row_list,
        archive_path=ur"S:\Landsat",
        temp_dwnld_folder=ur'G:\temp'
    )

    # LANDSAT_8_C1          Landsat 8 Operational Land Imager and Thermal Infrared Sensor Collection 1 Level-1
    # LANDSAT_8_PREWRS      Landsat 8 Operational Land Imager and Thermal Infrared Sensor Pre-WRS-2: 2013
    # LANDSAT_ETM_C1        Landsat 7 Enhanced Thematic Mapper Plus Collection 1 Level-1
    # LANDSAT_TM_C1         Landsat 4-5 Thematic Mapper Collection 1 Level-1
    # LANDSAT_MSS           Landsat 1-5 Multispectral Scanner: 1972-2013

protected by Community Mar 19 '18 at 22:05

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