How to download MOD16 (Modis Evapotranspiration) image? Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?MODIS LDOPE mask_sds ErrorHow to merge SeaWiFS and MODIS data or use other merged products?MODIS product MCD43A3 stating 16 periodicity but when downloadad I have files every 8 daysWhy is part of the MODIS (MOD09) Swath missing?Reprojecting MODIS Sea Ice Extent and IST data using GDALHow to mosaic multiple MODIS images of Multiple months using MRT tool?ImageCollection Exporting by yearsImage collection to Single Image in Google Earth EngineMODIS downloads using PythonDownloading subset of MODIS data through HTTPS

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How to download MOD16 (Modis Evapotranspiration) image?



Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?MODIS LDOPE mask_sds ErrorHow to merge SeaWiFS and MODIS data or use other merged products?MODIS product MCD43A3 stating 16 periodicity but when downloadad I have files every 8 daysWhy is part of the MODIS (MOD09) Swath missing?Reprojecting MODIS Sea Ice Extent and IST data using GDALHow to mosaic multiple MODIS images of Multiple months using MRT tool?ImageCollection Exporting by yearsImage collection to Single Image in Google Earth EngineMODIS downloads using PythonDownloading subset of MODIS data through HTTPS



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11















I use a 'R' script for downloading MODIS imageries. However, it doesn't give MOD16 product. I could neither find the MOD16 product in earthexplorer website. Though the desired product is available at http://www.ntsg.umt.edu/project/mod16#data-product but I could not find any script to download.



Is there any script available for it? or I need to click each image for download.



For example, if I want to download "h02v08" image from each and every month of the year, how to do it?










share|improve this question
























  • expanding on the same cuestion after i have identified my 'landgrind', how can i select a specific date for example during november?

    – Mauro
    Jan 13 '17 at 11:36











  • If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review

    – Evil Genius
    Jan 13 '17 at 12:00

















11















I use a 'R' script for downloading MODIS imageries. However, it doesn't give MOD16 product. I could neither find the MOD16 product in earthexplorer website. Though the desired product is available at http://www.ntsg.umt.edu/project/mod16#data-product but I could not find any script to download.



Is there any script available for it? or I need to click each image for download.



For example, if I want to download "h02v08" image from each and every month of the year, how to do it?










share|improve this question
























  • expanding on the same cuestion after i have identified my 'landgrind', how can i select a specific date for example during november?

    – Mauro
    Jan 13 '17 at 11:36











  • If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review

    – Evil Genius
    Jan 13 '17 at 12:00













11












11








11


5






I use a 'R' script for downloading MODIS imageries. However, it doesn't give MOD16 product. I could neither find the MOD16 product in earthexplorer website. Though the desired product is available at http://www.ntsg.umt.edu/project/mod16#data-product but I could not find any script to download.



Is there any script available for it? or I need to click each image for download.



For example, if I want to download "h02v08" image from each and every month of the year, how to do it?










share|improve this question
















I use a 'R' script for downloading MODIS imageries. However, it doesn't give MOD16 product. I could neither find the MOD16 product in earthexplorer website. Though the desired product is available at http://www.ntsg.umt.edu/project/mod16#data-product but I could not find any script to download.



Is there any script available for it? or I need to click each image for download.



For example, if I want to download "h02v08" image from each and every month of the year, how to do it?







qgis r remote-sensing modis






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Dec 1 '15 at 19:53









Kevin

4,14612047




4,14612047










asked Oct 2 '15 at 12:01









MarioMario

5281727




5281727












  • expanding on the same cuestion after i have identified my 'landgrind', how can i select a specific date for example during november?

    – Mauro
    Jan 13 '17 at 11:36











  • If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review

    – Evil Genius
    Jan 13 '17 at 12:00

















  • expanding on the same cuestion after i have identified my 'landgrind', how can i select a specific date for example during november?

    – Mauro
    Jan 13 '17 at 11:36











  • If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review

    – Evil Genius
    Jan 13 '17 at 12:00
















expanding on the same cuestion after i have identified my 'landgrind', how can i select a specific date for example during november?

– Mauro
Jan 13 '17 at 11:36





expanding on the same cuestion after i have identified my 'landgrind', how can i select a specific date for example during november?

– Mauro
Jan 13 '17 at 11:36













If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review

– Evil Genius
Jan 13 '17 at 12:00





If you have a new question, please ask it by clicking the Ask Question button. Include a link to this question if it helps provide context. - From Review

– Evil Genius
Jan 13 '17 at 12:00










7 Answers
7






active

oldest

votes


















11














The project website hosts the MOD16 dataset on an FTP server.



As FTPs allow directory listings you can easily download complete folders without having to click individual links. This can be done with most FTP clients - a popular one would be FileZilla. Just right click the folder you want and select download.



edit:
The question now specifies that only one MODIS granule is required. There are two ways to achieve this:



  1. Using the command line: Get a directory listing of all the files on the ftp, i.e. on linux with ncftpls -R, grep for the desired granule and download via curl/wget.


  2. The easier way would be to use a dedicated ftp tool, search for the granule and download all files with it. @AndreJ already showed how to do this with fireFTP. The screenshot shows how you would do it in FileZilla.


enter image description here






share|improve this answer

























  • Thanks but, I don't require all the files. What I need is specific files from each month. Downloading the entire dataset would be the last choice.

    – Mario
    Oct 2 '15 at 12:27











  • In that case you can list all the files in the directory, sort the list to your needs (i.e. with grep) and then use a download tool like curl, wget or DownThemAll to download that list.

    – Kersten
    Oct 2 '15 at 12:30











  • Thanks again, I have downloaded data using "wget" but there we used to write file address in a text file and then call it using wget. However, here I find it difficult to get the links of required files. Could you please elaborate or pass come link to understand "list all the files in the directory, sort the list to your needs (i.e. with grep)" in your reply.

    – Mario
    Oct 2 '15 at 12:45


















2














The data seems to be archived in files for every 8 days. If you only need a part of the world, you have to select the right h and v tile according to https://nsidc.org/data/docs/daac/mod10_modis_snow/landgrid.html from every 8-days folder.



If you have fireFTP installed in Firefox and connected to the ftp server, you can search for h02v08 on the remote datasource, and check for include subdirectories.



It is still rather slow, so a command line tool might be a better solution.






share|improve this answer






























    2














    As pointed out by @EstevenMuriillo, data access is realized exclusively through http:// as of late. The R MODIS package currently supports the automated download of 8-day MOD16A2 and yearly MOD16A3 files from this new address, see



    library(MODIS)
    getProduct("MOD16")


    In order to download particular files, simply run



    mod16a2 <- getHdf(product = "MOD16A2", 
    begin = "2011001", end = "2011031",
    tileH = 2, tileV = 8)
    mod16a2



    $MOD16A2.105

    [1] "~/MOD16A2.A2011001.h02v08.105.2013122121506.hdf"

    [2] "~/MOD16A2.A2011009.h02v08.105.2013122121506.hdf"

    [3] "~/MOD16A2.A2011017.h02v08.105.2013122121506.hdf"

    [4] "~/MOD16A2.A2011025.h02v08.105.2013122121506.hdf"




    Note that it is also possible to download files and extract relevant SDS layers in one go using runGdal instead of getHdf. In addition, be aware that you need to install wget to get the whole thing up and running.






    share|improve this answer
































      1














      The current address (2017) is not ftp change by http://www.ntsg.umt.edu/project/mod16#data-product, so the use of Filezilla is not possible, wget is a very reliable possibility for this Type of shares






      share|improve this answer






























        0














        You can try the ModisDownload() function from the rts package. Its last version allows for the needed NASA authentication prior to search and download. I believe that it is required now and the direct FTP download is not possible anymore. Even if I am wrong, this function provides a very rich set of tools to download and process MODIS imagery.



        Its advantages include the possibility to mosaic and to reproject the raw .hdr files downloaded (for the latter, you need to install the Modis Download Tool from NASA - link) to generate, say, a geotiff of all your tiles together.



        To create your NASA user, go to https://urs.earthdata.nasa.gov/users/new. Then try



        devtools::install_github('babaknaimi/rts') # must install the latest one
        library(rts)

        setNASAauth("yourNASAlogin", "yourNASApassword", update = T) # authenticates at NASA's server
        > username and password are successfully updated...!
        Then to download the required images:

        ModisDownload(x='MOD16A2',h=2,v=8,dates=c('2011.01.01','2011.01.31'), mosaic=F, proj=F)


        This package allows actually to get any product available from MODIS analogously.






        share|improve this answer






























          0














          You can use this online tool to download the HDF files:



          Mod16A2 Downloader






          share|improve this answer






























            -1














            I think this video is helpful for getting data from MOD16A2 HDF File






            share|improve this answer























            • You can add this to your previous answer, edit it and add more information. Link-only answers will be deleted

              – aldo_tapia
              Apr 9 at 21:25











            Your Answer








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            7 Answers
            7






            active

            oldest

            votes








            7 Answers
            7






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            11














            The project website hosts the MOD16 dataset on an FTP server.



            As FTPs allow directory listings you can easily download complete folders without having to click individual links. This can be done with most FTP clients - a popular one would be FileZilla. Just right click the folder you want and select download.



            edit:
            The question now specifies that only one MODIS granule is required. There are two ways to achieve this:



            1. Using the command line: Get a directory listing of all the files on the ftp, i.e. on linux with ncftpls -R, grep for the desired granule and download via curl/wget.


            2. The easier way would be to use a dedicated ftp tool, search for the granule and download all files with it. @AndreJ already showed how to do this with fireFTP. The screenshot shows how you would do it in FileZilla.


            enter image description here






            share|improve this answer

























            • Thanks but, I don't require all the files. What I need is specific files from each month. Downloading the entire dataset would be the last choice.

              – Mario
              Oct 2 '15 at 12:27











            • In that case you can list all the files in the directory, sort the list to your needs (i.e. with grep) and then use a download tool like curl, wget or DownThemAll to download that list.

              – Kersten
              Oct 2 '15 at 12:30











            • Thanks again, I have downloaded data using "wget" but there we used to write file address in a text file and then call it using wget. However, here I find it difficult to get the links of required files. Could you please elaborate or pass come link to understand "list all the files in the directory, sort the list to your needs (i.e. with grep)" in your reply.

              – Mario
              Oct 2 '15 at 12:45















            11














            The project website hosts the MOD16 dataset on an FTP server.



            As FTPs allow directory listings you can easily download complete folders without having to click individual links. This can be done with most FTP clients - a popular one would be FileZilla. Just right click the folder you want and select download.



            edit:
            The question now specifies that only one MODIS granule is required. There are two ways to achieve this:



            1. Using the command line: Get a directory listing of all the files on the ftp, i.e. on linux with ncftpls -R, grep for the desired granule and download via curl/wget.


            2. The easier way would be to use a dedicated ftp tool, search for the granule and download all files with it. @AndreJ already showed how to do this with fireFTP. The screenshot shows how you would do it in FileZilla.


            enter image description here






            share|improve this answer

























            • Thanks but, I don't require all the files. What I need is specific files from each month. Downloading the entire dataset would be the last choice.

              – Mario
              Oct 2 '15 at 12:27











            • In that case you can list all the files in the directory, sort the list to your needs (i.e. with grep) and then use a download tool like curl, wget or DownThemAll to download that list.

              – Kersten
              Oct 2 '15 at 12:30











            • Thanks again, I have downloaded data using "wget" but there we used to write file address in a text file and then call it using wget. However, here I find it difficult to get the links of required files. Could you please elaborate or pass come link to understand "list all the files in the directory, sort the list to your needs (i.e. with grep)" in your reply.

              – Mario
              Oct 2 '15 at 12:45













            11












            11








            11







            The project website hosts the MOD16 dataset on an FTP server.



            As FTPs allow directory listings you can easily download complete folders without having to click individual links. This can be done with most FTP clients - a popular one would be FileZilla. Just right click the folder you want and select download.



            edit:
            The question now specifies that only one MODIS granule is required. There are two ways to achieve this:



            1. Using the command line: Get a directory listing of all the files on the ftp, i.e. on linux with ncftpls -R, grep for the desired granule and download via curl/wget.


            2. The easier way would be to use a dedicated ftp tool, search for the granule and download all files with it. @AndreJ already showed how to do this with fireFTP. The screenshot shows how you would do it in FileZilla.


            enter image description here






            share|improve this answer















            The project website hosts the MOD16 dataset on an FTP server.



            As FTPs allow directory listings you can easily download complete folders without having to click individual links. This can be done with most FTP clients - a popular one would be FileZilla. Just right click the folder you want and select download.



            edit:
            The question now specifies that only one MODIS granule is required. There are two ways to achieve this:



            1. Using the command line: Get a directory listing of all the files on the ftp, i.e. on linux with ncftpls -R, grep for the desired granule and download via curl/wget.


            2. The easier way would be to use a dedicated ftp tool, search for the granule and download all files with it. @AndreJ already showed how to do this with fireFTP. The screenshot shows how you would do it in FileZilla.


            enter image description here







            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Dec 22 '17 at 8:56

























            answered Oct 2 '15 at 12:21









            KerstenKersten

            7,40332446




            7,40332446












            • Thanks but, I don't require all the files. What I need is specific files from each month. Downloading the entire dataset would be the last choice.

              – Mario
              Oct 2 '15 at 12:27











            • In that case you can list all the files in the directory, sort the list to your needs (i.e. with grep) and then use a download tool like curl, wget or DownThemAll to download that list.

              – Kersten
              Oct 2 '15 at 12:30











            • Thanks again, I have downloaded data using "wget" but there we used to write file address in a text file and then call it using wget. However, here I find it difficult to get the links of required files. Could you please elaborate or pass come link to understand "list all the files in the directory, sort the list to your needs (i.e. with grep)" in your reply.

              – Mario
              Oct 2 '15 at 12:45

















            • Thanks but, I don't require all the files. What I need is specific files from each month. Downloading the entire dataset would be the last choice.

              – Mario
              Oct 2 '15 at 12:27











            • In that case you can list all the files in the directory, sort the list to your needs (i.e. with grep) and then use a download tool like curl, wget or DownThemAll to download that list.

              – Kersten
              Oct 2 '15 at 12:30











            • Thanks again, I have downloaded data using "wget" but there we used to write file address in a text file and then call it using wget. However, here I find it difficult to get the links of required files. Could you please elaborate or pass come link to understand "list all the files in the directory, sort the list to your needs (i.e. with grep)" in your reply.

              – Mario
              Oct 2 '15 at 12:45
















            Thanks but, I don't require all the files. What I need is specific files from each month. Downloading the entire dataset would be the last choice.

            – Mario
            Oct 2 '15 at 12:27





            Thanks but, I don't require all the files. What I need is specific files from each month. Downloading the entire dataset would be the last choice.

            – Mario
            Oct 2 '15 at 12:27













            In that case you can list all the files in the directory, sort the list to your needs (i.e. with grep) and then use a download tool like curl, wget or DownThemAll to download that list.

            – Kersten
            Oct 2 '15 at 12:30





            In that case you can list all the files in the directory, sort the list to your needs (i.e. with grep) and then use a download tool like curl, wget or DownThemAll to download that list.

            – Kersten
            Oct 2 '15 at 12:30













            Thanks again, I have downloaded data using "wget" but there we used to write file address in a text file and then call it using wget. However, here I find it difficult to get the links of required files. Could you please elaborate or pass come link to understand "list all the files in the directory, sort the list to your needs (i.e. with grep)" in your reply.

            – Mario
            Oct 2 '15 at 12:45





            Thanks again, I have downloaded data using "wget" but there we used to write file address in a text file and then call it using wget. However, here I find it difficult to get the links of required files. Could you please elaborate or pass come link to understand "list all the files in the directory, sort the list to your needs (i.e. with grep)" in your reply.

            – Mario
            Oct 2 '15 at 12:45













            2














            The data seems to be archived in files for every 8 days. If you only need a part of the world, you have to select the right h and v tile according to https://nsidc.org/data/docs/daac/mod10_modis_snow/landgrid.html from every 8-days folder.



            If you have fireFTP installed in Firefox and connected to the ftp server, you can search for h02v08 on the remote datasource, and check for include subdirectories.



            It is still rather slow, so a command line tool might be a better solution.






            share|improve this answer



























              2














              The data seems to be archived in files for every 8 days. If you only need a part of the world, you have to select the right h and v tile according to https://nsidc.org/data/docs/daac/mod10_modis_snow/landgrid.html from every 8-days folder.



              If you have fireFTP installed in Firefox and connected to the ftp server, you can search for h02v08 on the remote datasource, and check for include subdirectories.



              It is still rather slow, so a command line tool might be a better solution.






              share|improve this answer

























                2












                2








                2







                The data seems to be archived in files for every 8 days. If you only need a part of the world, you have to select the right h and v tile according to https://nsidc.org/data/docs/daac/mod10_modis_snow/landgrid.html from every 8-days folder.



                If you have fireFTP installed in Firefox and connected to the ftp server, you can search for h02v08 on the remote datasource, and check for include subdirectories.



                It is still rather slow, so a command line tool might be a better solution.






                share|improve this answer













                The data seems to be archived in files for every 8 days. If you only need a part of the world, you have to select the right h and v tile according to https://nsidc.org/data/docs/daac/mod10_modis_snow/landgrid.html from every 8-days folder.



                If you have fireFTP installed in Firefox and connected to the ftp server, you can search for h02v08 on the remote datasource, and check for include subdirectories.



                It is still rather slow, so a command line tool might be a better solution.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Oct 2 '15 at 12:41









                AndreJAndreJ

                69k563127




                69k563127





















                    2














                    As pointed out by @EstevenMuriillo, data access is realized exclusively through http:// as of late. The R MODIS package currently supports the automated download of 8-day MOD16A2 and yearly MOD16A3 files from this new address, see



                    library(MODIS)
                    getProduct("MOD16")


                    In order to download particular files, simply run



                    mod16a2 <- getHdf(product = "MOD16A2", 
                    begin = "2011001", end = "2011031",
                    tileH = 2, tileV = 8)
                    mod16a2



                    $MOD16A2.105

                    [1] "~/MOD16A2.A2011001.h02v08.105.2013122121506.hdf"

                    [2] "~/MOD16A2.A2011009.h02v08.105.2013122121506.hdf"

                    [3] "~/MOD16A2.A2011017.h02v08.105.2013122121506.hdf"

                    [4] "~/MOD16A2.A2011025.h02v08.105.2013122121506.hdf"




                    Note that it is also possible to download files and extract relevant SDS layers in one go using runGdal instead of getHdf. In addition, be aware that you need to install wget to get the whole thing up and running.






                    share|improve this answer





























                      2














                      As pointed out by @EstevenMuriillo, data access is realized exclusively through http:// as of late. The R MODIS package currently supports the automated download of 8-day MOD16A2 and yearly MOD16A3 files from this new address, see



                      library(MODIS)
                      getProduct("MOD16")


                      In order to download particular files, simply run



                      mod16a2 <- getHdf(product = "MOD16A2", 
                      begin = "2011001", end = "2011031",
                      tileH = 2, tileV = 8)
                      mod16a2



                      $MOD16A2.105

                      [1] "~/MOD16A2.A2011001.h02v08.105.2013122121506.hdf"

                      [2] "~/MOD16A2.A2011009.h02v08.105.2013122121506.hdf"

                      [3] "~/MOD16A2.A2011017.h02v08.105.2013122121506.hdf"

                      [4] "~/MOD16A2.A2011025.h02v08.105.2013122121506.hdf"




                      Note that it is also possible to download files and extract relevant SDS layers in one go using runGdal instead of getHdf. In addition, be aware that you need to install wget to get the whole thing up and running.






                      share|improve this answer



























                        2












                        2








                        2







                        As pointed out by @EstevenMuriillo, data access is realized exclusively through http:// as of late. The R MODIS package currently supports the automated download of 8-day MOD16A2 and yearly MOD16A3 files from this new address, see



                        library(MODIS)
                        getProduct("MOD16")


                        In order to download particular files, simply run



                        mod16a2 <- getHdf(product = "MOD16A2", 
                        begin = "2011001", end = "2011031",
                        tileH = 2, tileV = 8)
                        mod16a2



                        $MOD16A2.105

                        [1] "~/MOD16A2.A2011001.h02v08.105.2013122121506.hdf"

                        [2] "~/MOD16A2.A2011009.h02v08.105.2013122121506.hdf"

                        [3] "~/MOD16A2.A2011017.h02v08.105.2013122121506.hdf"

                        [4] "~/MOD16A2.A2011025.h02v08.105.2013122121506.hdf"




                        Note that it is also possible to download files and extract relevant SDS layers in one go using runGdal instead of getHdf. In addition, be aware that you need to install wget to get the whole thing up and running.






                        share|improve this answer















                        As pointed out by @EstevenMuriillo, data access is realized exclusively through http:// as of late. The R MODIS package currently supports the automated download of 8-day MOD16A2 and yearly MOD16A3 files from this new address, see



                        library(MODIS)
                        getProduct("MOD16")


                        In order to download particular files, simply run



                        mod16a2 <- getHdf(product = "MOD16A2", 
                        begin = "2011001", end = "2011031",
                        tileH = 2, tileV = 8)
                        mod16a2



                        $MOD16A2.105

                        [1] "~/MOD16A2.A2011001.h02v08.105.2013122121506.hdf"

                        [2] "~/MOD16A2.A2011009.h02v08.105.2013122121506.hdf"

                        [3] "~/MOD16A2.A2011017.h02v08.105.2013122121506.hdf"

                        [4] "~/MOD16A2.A2011025.h02v08.105.2013122121506.hdf"




                        Note that it is also possible to download files and extract relevant SDS layers in one go using runGdal instead of getHdf. In addition, be aware that you need to install wget to get the whole thing up and running.







                        share|improve this answer














                        share|improve this answer



                        share|improve this answer








                        edited Aug 9 '17 at 14:40

























                        answered Jan 16 '17 at 13:48









                        fdetschfdetsch

                        4,09021940




                        4,09021940





















                            1














                            The current address (2017) is not ftp change by http://www.ntsg.umt.edu/project/mod16#data-product, so the use of Filezilla is not possible, wget is a very reliable possibility for this Type of shares






                            share|improve this answer



























                              1














                              The current address (2017) is not ftp change by http://www.ntsg.umt.edu/project/mod16#data-product, so the use of Filezilla is not possible, wget is a very reliable possibility for this Type of shares






                              share|improve this answer

























                                1












                                1








                                1







                                The current address (2017) is not ftp change by http://www.ntsg.umt.edu/project/mod16#data-product, so the use of Filezilla is not possible, wget is a very reliable possibility for this Type of shares






                                share|improve this answer













                                The current address (2017) is not ftp change by http://www.ntsg.umt.edu/project/mod16#data-product, so the use of Filezilla is not possible, wget is a very reliable possibility for this Type of shares







                                share|improve this answer












                                share|improve this answer



                                share|improve this answer










                                answered Jan 11 '17 at 3:32









                                Esteven MuriilloEsteven Muriillo

                                1065




                                1065





















                                    0














                                    You can try the ModisDownload() function from the rts package. Its last version allows for the needed NASA authentication prior to search and download. I believe that it is required now and the direct FTP download is not possible anymore. Even if I am wrong, this function provides a very rich set of tools to download and process MODIS imagery.



                                    Its advantages include the possibility to mosaic and to reproject the raw .hdr files downloaded (for the latter, you need to install the Modis Download Tool from NASA - link) to generate, say, a geotiff of all your tiles together.



                                    To create your NASA user, go to https://urs.earthdata.nasa.gov/users/new. Then try



                                    devtools::install_github('babaknaimi/rts') # must install the latest one
                                    library(rts)

                                    setNASAauth("yourNASAlogin", "yourNASApassword", update = T) # authenticates at NASA's server
                                    > username and password are successfully updated...!
                                    Then to download the required images:

                                    ModisDownload(x='MOD16A2',h=2,v=8,dates=c('2011.01.01','2011.01.31'), mosaic=F, proj=F)


                                    This package allows actually to get any product available from MODIS analogously.






                                    share|improve this answer



























                                      0














                                      You can try the ModisDownload() function from the rts package. Its last version allows for the needed NASA authentication prior to search and download. I believe that it is required now and the direct FTP download is not possible anymore. Even if I am wrong, this function provides a very rich set of tools to download and process MODIS imagery.



                                      Its advantages include the possibility to mosaic and to reproject the raw .hdr files downloaded (for the latter, you need to install the Modis Download Tool from NASA - link) to generate, say, a geotiff of all your tiles together.



                                      To create your NASA user, go to https://urs.earthdata.nasa.gov/users/new. Then try



                                      devtools::install_github('babaknaimi/rts') # must install the latest one
                                      library(rts)

                                      setNASAauth("yourNASAlogin", "yourNASApassword", update = T) # authenticates at NASA's server
                                      > username and password are successfully updated...!
                                      Then to download the required images:

                                      ModisDownload(x='MOD16A2',h=2,v=8,dates=c('2011.01.01','2011.01.31'), mosaic=F, proj=F)


                                      This package allows actually to get any product available from MODIS analogously.






                                      share|improve this answer

























                                        0












                                        0








                                        0







                                        You can try the ModisDownload() function from the rts package. Its last version allows for the needed NASA authentication prior to search and download. I believe that it is required now and the direct FTP download is not possible anymore. Even if I am wrong, this function provides a very rich set of tools to download and process MODIS imagery.



                                        Its advantages include the possibility to mosaic and to reproject the raw .hdr files downloaded (for the latter, you need to install the Modis Download Tool from NASA - link) to generate, say, a geotiff of all your tiles together.



                                        To create your NASA user, go to https://urs.earthdata.nasa.gov/users/new. Then try



                                        devtools::install_github('babaknaimi/rts') # must install the latest one
                                        library(rts)

                                        setNASAauth("yourNASAlogin", "yourNASApassword", update = T) # authenticates at NASA's server
                                        > username and password are successfully updated...!
                                        Then to download the required images:

                                        ModisDownload(x='MOD16A2',h=2,v=8,dates=c('2011.01.01','2011.01.31'), mosaic=F, proj=F)


                                        This package allows actually to get any product available from MODIS analogously.






                                        share|improve this answer













                                        You can try the ModisDownload() function from the rts package. Its last version allows for the needed NASA authentication prior to search and download. I believe that it is required now and the direct FTP download is not possible anymore. Even if I am wrong, this function provides a very rich set of tools to download and process MODIS imagery.



                                        Its advantages include the possibility to mosaic and to reproject the raw .hdr files downloaded (for the latter, you need to install the Modis Download Tool from NASA - link) to generate, say, a geotiff of all your tiles together.



                                        To create your NASA user, go to https://urs.earthdata.nasa.gov/users/new. Then try



                                        devtools::install_github('babaknaimi/rts') # must install the latest one
                                        library(rts)

                                        setNASAauth("yourNASAlogin", "yourNASApassword", update = T) # authenticates at NASA's server
                                        > username and password are successfully updated...!
                                        Then to download the required images:

                                        ModisDownload(x='MOD16A2',h=2,v=8,dates=c('2011.01.01','2011.01.31'), mosaic=F, proj=F)


                                        This package allows actually to get any product available from MODIS analogously.







                                        share|improve this answer












                                        share|improve this answer



                                        share|improve this answer










                                        answered Mar 23 '18 at 9:50









                                        Bruno Conte LeiteBruno Conte Leite

                                        1199




                                        1199





















                                            0














                                            You can use this online tool to download the HDF files:



                                            Mod16A2 Downloader






                                            share|improve this answer



























                                              0














                                              You can use this online tool to download the HDF files:



                                              Mod16A2 Downloader






                                              share|improve this answer

























                                                0












                                                0








                                                0







                                                You can use this online tool to download the HDF files:



                                                Mod16A2 Downloader






                                                share|improve this answer













                                                You can use this online tool to download the HDF files:



                                                Mod16A2 Downloader







                                                share|improve this answer












                                                share|improve this answer



                                                share|improve this answer










                                                answered Dec 3 '18 at 0:19









                                                Sohrab kolsoomi ayaskSohrab kolsoomi ayask

                                                173




                                                173





















                                                    -1














                                                    I think this video is helpful for getting data from MOD16A2 HDF File






                                                    share|improve this answer























                                                    • You can add this to your previous answer, edit it and add more information. Link-only answers will be deleted

                                                      – aldo_tapia
                                                      Apr 9 at 21:25















                                                    -1














                                                    I think this video is helpful for getting data from MOD16A2 HDF File






                                                    share|improve this answer























                                                    • You can add this to your previous answer, edit it and add more information. Link-only answers will be deleted

                                                      – aldo_tapia
                                                      Apr 9 at 21:25













                                                    -1












                                                    -1








                                                    -1







                                                    I think this video is helpful for getting data from MOD16A2 HDF File






                                                    share|improve this answer













                                                    I think this video is helpful for getting data from MOD16A2 HDF File







                                                    share|improve this answer












                                                    share|improve this answer



                                                    share|improve this answer










                                                    answered Apr 9 at 21:16









                                                    Sohrab kolsoomi ayaskSohrab kolsoomi ayask

                                                    173




                                                    173












                                                    • You can add this to your previous answer, edit it and add more information. Link-only answers will be deleted

                                                      – aldo_tapia
                                                      Apr 9 at 21:25

















                                                    • You can add this to your previous answer, edit it and add more information. Link-only answers will be deleted

                                                      – aldo_tapia
                                                      Apr 9 at 21:25
















                                                    You can add this to your previous answer, edit it and add more information. Link-only answers will be deleted

                                                    – aldo_tapia
                                                    Apr 9 at 21:25





                                                    You can add this to your previous answer, edit it and add more information. Link-only answers will be deleted

                                                    – aldo_tapia
                                                    Apr 9 at 21:25

















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