Metadata-Version: 1.2
Name: ModisDownload
Version: 1.5
Summary: help download modis files with token and muti threading processing
Home-page: https://github.com/qxcnwu
Author: qxcnwu
Author-email: qxcnwu@gmail.com
Maintainer: qxcnwu
Maintainer-email: qxcnwu@gmail.com
License: MIT License
Description: ModisDownload
        -------------
        
        help ours down load from base url
        https://ladsweb.modaps.eosdis.nasa.gov/ when i use this packages , our
        bandwidth work in deadline with the first version we can use this
        download all modis file with any time in any area use like this
        
        .. code:: python
        
           search_p()
           search_area()
           reload()
           g=getHtml("your token")
           g.download_main("production name","time,time1..time2","area or x1y1,x1y1","download dir")
        
        SearchChinaData
        ---------------
        
        it also can get metadata about `china image
        search_area <http://36.112.130.153:7777/#/mapSearch>`__
        
        use this kind command
        
        .. code:: python
        
           from ModisDownload.InitCHN import Init
           from ModisDownload.PolygonUtiles import Poly
           from ModisDownload.SearchCHN import SearchData,SearchChina
           from ModisDownload.Base import Sensors
           from ModisDownload import visited
        
           def searchChinaExample():
               Init(False)
               geom = Poly.Point(123.1231, 34.123)
               geom2 = Poly.Polygon(
                   [[105.550278, 32.174096], [105.550278, 28.707072], 
                    [109.525337, 28.707072], [109.525337, 32.174096]])
               geom3 = Poly.Square(104.550278, 28.174096, 109.525337, 18.707072)
               searchData = SearchData("2021-05-11", "2022-05-21",
                                       [Sensors.GF1B_PMS, Sensors.LT1B_SAR, Sensors.GF4_B3,
                                        Sensors.ZY302_NAD, Sensors.GF5_EMI, Sensors.CSES_GRO]
                                       , [geom, geom2, geom3], 60, 1)
               search = SearchChina(searchData, True)
               search.search()
               search.save_ans("ans.csv")
               return
        
           if __name__ == '__main__':
               searchChinaExample()
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.4
