- MBON data portal training is upcoming.
- when developing products remember to keep international users in mind
- USAD funding might be available
- Adriano Lima from the Air Centre can also help develop products
- he has technical ability
- was already able to leverage seascapR to create shiny app
- Portuguese tranlation for could be helpful
- Ben has had good experiences using google translate for i18n
- Thiago also willing to help
- We need better data management
- planetscope : daily landmass + 10mi off of coast, 8 band, 3.7m, starts 2014, Aug 2017 is when daily starts
- skysat : tasked, 50cm, 5-band, starts 2014
learn more @ https://university.planet.com/
unknown if data is available through NASA: https://www.earthdata.nasa.gov/esds/csda/commercial-datasets
- free stuff available for 1yr via "basic" edu account. Sign up here
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root@4c2b94c118bb:/usr/local/tomcat/webapps/erddap/WEB-INF# bash DasDds.sh OC_c7fe_e1ee_913d | |
////**** EDStatic Low Level Startup | |
localTime=2022-10-26T17:57:42+00:00 | |
erddapVersion=2.18 | |
Java 1.8.0_322 (64 bit, Oracle Corporation) on Linux (4.18.0-348.7.1.el8_5.x86_64). | |
MemoryInUse= 50 MB (highWaterMark= 50 MB) (Xmx ~= 958 MB) | |
logLevel=info: verbose=true reallyVerbose=false | |
got bigParentDirectory from ERDDAP_bigParentDirectory | |
got emailFromAddress from ERDDAP_emailFromAddress |
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root@302d01eec869:/erddapData/logs# ls -lah /test_local_data_dir/ | |
total 64M | |
drwxr-xr-x. 2 root root 126 Oct 26 16:22 . | |
drwxr-xr-x. 1 root root 118 Oct 26 16:30 .. | |
-rwxr-xr--. 1 4747 4504 22M Oct 26 16:19 MODA_2002185_2002189_7D_FK_OC.nc | |
-rwxr-xr--. 1 4747 4504 22M Oct 26 16:19 MODA_2002190_2002196_7D_FK_OC.nc | |
-rwxr-xr--. 1 4747 4504 22M Oct 26 16:19 MODA_2002197_2002203_7D_FK_OC.nc | |
root@302d01eec869:/erddapData/logs# head -1 /test_local_data_dir/MODA_2002185_2002189_7D_FK_OC.nc | |
�HDF |
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root@302d01eec869:/usr/local/tomcat/webapps/erddap/WEB-INF# bash DasDds.sh OC_c7fe_e1ee_913c | |
////**** EDStatic Low Level Startup | |
localTime=2022-10-26T16:38:54+00:00 | |
erddapVersion=2.18 | |
Java 1.8.0_322 (64 bit, Oracle Corporation) on Linux (4.18.0-348.7.1.el8_5.x86_64). | |
MemoryInUse= 50 MB (highWaterMark= 50 MB) (Xmx ~= 958 MB) | |
logLevel=info: verbose=true reallyVerbose=false | |
got bigParentDirectory from ERDDAP_bigParentDirectory | |
got emailFromAddress from ERDDAP_emailFromAddress |
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root@95c41cfa96c1:/usr/local/tomcat/webapps/erddap/WEB-INF# bash DasDds.sh OC_c7fe_e1ee_913c | tee OC_c7fe_e1ee_913c_dasdds_log.txt | |
////**** EDStatic Low Level Startup | |
localTime=2022-10-22T16:18:13+00:00 | |
erddapVersion=2.18 | |
Java 1.8.0_322 (64 bit, Oracle Corporation) on Linux (4.18.0-348.7.1.el8_5.x86_64). | |
MemoryInUse= 50 MB (highWaterMark= 50 MB) (Xmx ~= 958 MB) | |
logLevel=info: verbose=true reallyVerbose=false | |
got bigParentDirectory from ERDDAP_bigParentDirectory | |
got emailFromAddress from ERDDAP_emailFromAddress |
This example demonstrates a rebase and how it differs from a merge. Understanding this is critical for working within most collaborative git workflows.
I have a local repo (named origin
) which I have forked from an upstream remote (named upstream
):
tylar@laptop:~/pyobis$ git remote -v
origin [email protected]:7yl4r/pyobis.git (fetch)
origin [email protected]:7yl4r/pyobis.git (push)
upstream [email protected]:iobis/pyobis.git (fetch)
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def search( | |
scientificname=None,taxonid=None,nodeid=None,datasetid=None,startdate=None,enddate=None, | |
startdepth=None,enddepth=None,geometry=None,year=None,flags=None,fields=None,size=5000, | |
offset=0,mof=False,hasextensions=None,**kwargs | |
): | |
args = { | |
'taxonid': taxonid,'obisid': obisid,'datasetid': datasetid, | |
'scientificname': scientificname,'startdate': startdate, | |
'enddate': enddate,'startdepth': startdepth,'enddepth': enddepth, | |
'geometry': geometry,'year': year,'fields': fields, |
- find funding for 2030 effort
- producing products (product = map layers in AWS)
- want to auto-update the layer when data submitted 2. crowd-source submission system goes to AWS then converted to xyz data files in AWS buckets 1. then can use VM in paperspace via parsec 4. not working in ArcGIS bc it is too big - too many polygons (300billion +).
- tried ArcOnline & Enterprise also. Enterprise could maybe do it w/ more cores.