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Microsoft planetary computer (MPC) platform introduction, registration and comparison
2022-06-24 18:40:00 【Geographical space of ruiduobao】
1. Platform profile
1.1 Introduce
Microsoft Planetary Computer ( hereinafter referred to as MPC), It's a service for Environmental Science Sustainability and Earth science Research cloud computing platform . The platform was developed by Microsoft , It is currently in the internal testing stage , Users can obtain permission through simple application .

MPC It's made up of four main parts :
Data sets :PB Level of geoscience data , Hosted in Azure On , And provide users with free use .
Data search : Users can search for relevant data across space and time API.
Data processing : A fully managed computing environment , Enable scientists to process a large number of geospatial data sets .
Related applications : Applications developed by Microsoft and related partners , Directly callable .
The information of the platform can be viewed from the official promotional video :
1.2 Development support
at present MPC Support JavaScript、Python、R Three development languages , And it's based on Tensorflow、PyTorch、Qgis And other virtual development environments . Locally available VS code Develop accordingly :

1.3 Existing data sets
at present MPC There is relatively little data , So I have listed all the data I have :
Biodiversity:
HGB: Harmonized Global Biomass for 2010(300m Resolution 2010 Annual biomass density map )
MoBI: Map of Biodiversity Importance( Of the American continent 2216 Habitat of endangered species )
DEM:
ALOS World 3D-30m(ALOS Satellite acquired global 30m The resolution of the DEM)
Copernicus DEM GLO-30( Copernicus' global plan 30m The resolution of the DEM)
Copernicus DEM GLO-90( Copernicus' global plan 90m The resolution of the DEM)
NASADEM HGT v001( The global 30m Of DEM)
USGS 3DEP Seamless DEMs(1 To 60 Meter resolution of the United States DEM)
Fire:
MTBS: Monitoring Trends in Burn Severity( Us fire severity products )
Imagery:
ASTER L1T
GOES-R Cloud & Moisture Imagery( Cloud and water vapor imaging products )
Landsat 8 Collection 2 Level-2(Landsat Second level product of )
NAIP: National Agriculture Imagery Program( Contains high-resolution aerial images )
Sentinel-2 Level-2A( The secondary product of sentry satellite )
Infrastructure:
HREA: High Resolution Electricity Access( Light data ,VIIRS Satellite images capture global power )
Land use/Land cover:
Esri 10-Meter Land Cover( The global 10m Land cover )
USGS Gap Land Cover( Land cover in the United States )
Water:
JRC Global Surface Water( be based on Landsat Global water bodies )
2. register
Enter the official , Link to :https://planetarycomputer.microsoft.com/

Click to enter Explore Interface , Select the data you are interested in , I chose sentinel data here

Click to enter an image , Select the brackets that represent the encoding , A calling code will pop up , Click again on the Launch Hub:

At this time, choose to log in with Microsoft account ( The default is your computer Microsoft account number ), If you don't have a Microsoft account, you can register a Microsoft account first :

at present MPC It's in the internal test stage , Use MPC You need to apply for permission , Click on request access:

Fill in personal information , This should be filled in according to the real information :

After filling in , Submit , The submitted information will be displayed , Generally wait One day You can get permission by left or right . If you don't have permission , You can send an email to the official , Express your willingness to use the platform .

Last , After passing the application , You can enter MPC Code :

If you are not used to online operation , You can also use VS code Make local configuration ( They are all products of Microsoft , Good support ):

3. Platform comparison
At present, remote sensing cloud computing platforms are emerging , Has begun to change the way remote sensing data are processed . I have simply sorted out the following four platforms , As shown below :
| platform | Google Earth Engine(GEE) | PIE-Engine(PIE) | Microsoft Planetary Computer(MPC) | ESA-USGS |
|---|---|---|---|---|
| manufacturer | Space grand plan | Microsoft | esa 、 U.S. Geological Survey | |
| Public measurement time | 2015 year | 2020 year | Internal testing stage , Not yet in public beta | The development phase |
| Official programming language | JavaScript、Python | JavaScript、Python | JavaScript、Python、R | No information |
| Number of data sets | 495 Data sets | 143 Data sets | 17 Data sets | No information |
| network connections | Need scientific Internet | Direct connection | Direct connection | No information |
| remarks | The pioneer of remote sensing cloud computing | Domestic independent controllable | Focus on climate change and earth protection | No information |
The number of data sets comes from the official website , Through data sets HTML Count the number of tags ( By the time :2021 year 12 month 20 Japan ). among ESA-USGS Remote sensing cloud computing platform is the news released this year , It's currently in the development phase , The official online time is unknown .
4. At the end
(1)MPC, Backed by international manufacturers , It can ensure a high degree of completion of this platform . It is not directly related to GEE For standard , Instead, find your own starting point : Global environmental change .
(2) in consideration of GEE There have been , It is easy to apply through the user at the beginning , At present, the application is rather cumbersome . If readers are interested in studying remote sensing Cloud Computing , Register as soon as possible MPC.
(3) You can go to “ Geoscience remote sensing data collection ”(www.gisrsdata.com) Get more data .
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