AVHRR NDVI3g time series tool?

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AVHRR NDVI3g time series tool?

Andy Bunn-3
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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Re: AVHRR NDVI3g time series tool?

Michael Sumner-2
Maybe xtractomatic?

On Tue, Mar 28, 2017, 07:55 Andy Bunn <[hidden email]> 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
> [hidden email]
> 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

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Re: AVHRR NDVI3g time series tool?

Andy Bunn-3
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 <[hidden email]<mailto:[hidden email]>>
Date: Monday, March 27, 2017 at 2:03 PM
To: Andy Bunn <[hidden email]<mailto:[hidden email]>>, R-sig-Geo <[hidden email]<mailto:[hidden email]>>
Subject: Re: [R-sig-Geo] AVHRR NDVI3g time series tool?


Maybe xtractomatic?

On Tue, Mar 28, 2017, 07:55 Andy Bunn <[hidden email]<mailto:[hidden email]>> 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
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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


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Re: AVHRR NDVI3g time series tool?

dicko ahmadou
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 <[hidden email]> 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 <[hidden email]<mailto:[hidden email]>>
> Date: Monday, March 27, 2017 at 2:03 PM
> To: Andy Bunn <[hidden email]<mailto:[hidden email]>>, R-sig-Geo <
> [hidden email]<mailto:[hidden email]>>
> Subject: Re: [R-sig-Geo] AVHRR NDVI3g time series tool?
>
>
> Maybe xtractomatic?
>
> On Tue, Mar 28, 2017, 07:55 Andy Bunn <[hidden email]<mailto:Andy
> .[hidden email]>> 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
> [hidden email]<mailto:[hidden email]>
> 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
> [hidden email]
> https://stat.ethz.ch/mailman/listinfo/r-sig-geo
>



--
Ahmadou H. DICKO, PhD

Data Lab Manager
Humanitarian Data Exchange (HDX) - humdata.org
OCHA ROWCA regional office
VDN Sacre Coeur III, Villa 9364 BP 16 922 Fann
Dakar, Senegal
Phone: (+221) 33 869 85 36
Mobile: (+221) 77 123 81 69

Email: [hidden email]
Skype: dicko.ahmadou.h
Twitter : @dickoah
Gitlab: gitlab/dickoa
Github: github/dickoa

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Re: 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 <[hidden email]> 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 <[hidden email]<mailto:[hidden email]>>
>> Date: Monday, March 27, 2017 at 2:03 PM
>> To: Andy Bunn <[hidden email]<mailto:[hidden email]>>, R-sig-Geo <
>> [hidden email]<mailto:[hidden email]>>
>> Subject: Re: [R-sig-Geo] AVHRR NDVI3g time series tool?
>>
>>
>> Maybe xtractomatic?
>>
>> On Tue, Mar 28, 2017, 07:55 Andy Bunn <[hidden email]<mailto:Andy
>> .[hidden email]>> 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
>> [hidden email]<mailto:[hidden email]>
>> 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
>> [hidden email]
>> 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

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Re: AVHRR NDVI3g time series tool?

Andy Bunn-3
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"
<[hidden email] on behalf of
[hidden email]> 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 <[hidden email]> 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 <[hidden email]<mailto:[hidden email]>>
>>> Date: Monday, March 27, 2017 at 2:03 PM
>>> To: Andy Bunn <[hidden email]<mailto:[hidden email]>>, R-sig-Geo
>>><
>>> [hidden email]<mailto:[hidden email]>>
>>> Subject: Re: [R-sig-Geo] AVHRR NDVI3g time series tool?
>>>
>>>
>>> Maybe xtractomatic?
>>>
>>> On Tue, Mar 28, 2017, 07:55 Andy Bunn <[hidden email]<mailto:Andy
>>> .[hidden email]>> 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
>>> [hidden email]<mailto:[hidden email]>
>>> 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
>>> [hidden email]
>>> 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
>
>_______________________________________________
>R-sig-Geo mailing list
>[hidden email]
>https://stat.ethz.ch/mailman/listinfo/r-sig-geo

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