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

[Andy Bunn]

Great. Thanks so much for this package. I'll look into it.So many great
tools for working with these data. The last time I wrestled with the GIMMs
data for research was 12 years ago and boy was it a pain processing them
all. This is great!

On 3/27/17, 11:47 PM, "R-sig-Geo on behalf of Florian Detsch"
<r-sig-geo-bounces at r-project.org on behalf of
florian.detsch at staff.uni-marburg.de> wrote:

>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
>>>
>>> _______________________________________________
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>>> --
>>> Dr. Michael Sumner
>>> Software and Database Engineer
>>> Australian Antarctic Division
>>> 203 Channel Highway
>>> Kingston Tasmania 7050 Australia
>>>
>>>
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>>>
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>>
>>
>
>-- 
>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
>
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