[R-sig-Geo] AVHRR NDVI3g time series tool?

[Florian Detsch]

Yeah, well... you can use the gimms package, but you won't get around 
downloading all the NetCDF files (eg using downloadGimms()). Then, 
rasterizeGimms() allows you to specify a spatial extent (ie your spatial 
points' bounding box) in order to automatically create image subsets, 
which significantly reduces computation time and amount of memory needed.

Note that rasterizeGimms() lets you clip images and perform quality 
control in one go. Just have a look at the corresponding GitBook for 
further details: 
https://envin-marburg.gitbooks.io/introducing-the-r-gimms-package/content/.

Best,
Florian



On 28.03.2017 00:29, Ahmadou Dicko wrote:
> You can also use the gimms R package and the downloadGimms function.
>
> https://cran.r-project.org/package=gimms
>
> Best
>
> On Mon, Mar 27, 2017 at 10:00 PM, Andy Bunn <Andy.Bunn at wwu.edu> wrote:
>
>> Huh. That is very cool. It doesn't look like the NDVI data are in ERDDAP.
>> They are all here in a really easy form: https://ecocast.arc.nasa.gov/
>> data/pub/gimms/3g.v1/
>>
>> I'll dig some more.
>>
>> Thanks.
>>
>> From: Michael Sumner <mdsumner at gmail.com<mailto:mdsumner at gmail.com>>
>> Date: Monday, March 27, 2017 at 2:03 PM
>> To: Andy Bunn <andy.bunn at wwu.edu<mailto:andy.bunn at wwu.edu>>, R-sig-Geo <
>> r-sig-geo at r-project.org<mailto:r-sig-geo at r-project.org>>
>> Subject: Re: [R-sig-Geo] AVHRR NDVI3g time series tool?
>>
>>
>> Maybe xtractomatic?
>>
>> On Tue, Mar 28, 2017, 07:55 Andy Bunn <Andy.Bunn at wwu.edu<mailto:Andy
>> .Bunn at wwu.edu>> wrote:
>> Hi all, shot in the dark here. But is there a prefabricated tool for
>> extracting the biweekly time series from  AVHRR NDVI3g for a particular
>> set of points? I can download all the data and process it myself but
>> wondering if there is a package that would make this easy. E.g., what I'd
>> like would be to have the biweekly NDVI time series from 1981 to 2015 for
>> these points without processing all the netcdf files:
>>
>>
>> require(sp)
>> pts <- data.frame(ID="NOCA","MORA","OLYM",
>>                    lat=c(48.776, 48.879,47.802),
>>                    long=c(-121.299,-121.726,-123.604))
>> coordinates(pts) <- ~lat+long
>>
>>
>> Can such a thing be easily done?
>>
>> Thanks in advance for advice, Andy
>>
>> _______________________________________________
>> R-sig-Geo mailing list
>> R-sig-Geo at r-project.org<mailto:R-sig-Geo at r-project.org>
>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>> --
>> Dr. Michael Sumner
>> Software and Database Engineer
>> Australian Antarctic Division
>> 203 Channel Highway
>> Kingston Tasmania 7050 Australia
>>
>>
>>          [[alternative HTML version deleted]]
>>
>> _______________________________________________
>> R-sig-Geo mailing list
>> R-sig-Geo at r-project.org
>> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>>
>
>

-- 
Dr. Florian Detsch
Environmental Informatics
Department of Geography
Philipps-Universität Marburg
Deutschhausstraße 12
35032 (parcel post: 35037) Marburg, Germany

Phone: +49 (0) 6421 28-25323
Web: http://www.uni-marburg.de/fb19/fachgebiete/umweltinformatik/detschf/index.html