A yet another freely available land cover dataset, for 2020, at 10m, from ESA, is WorldCover: viewable at https://viewer.esa-worldcover.org/worldcover/, more information at https://esa-worldcover.org/.
On Monday, January 2, 2023 at 10:18:37 AM UTC+5:30 Sarath Guttikunda wrote: > One more set of lulc datasets - 1992 to 2020 > > https://urbanemissions.info/india-air-quality/india-ncap-landcover-classification/ > Portal has files cut for Indian city airsheds and the link to global files > is at the top > > With best wishes, > Sarath > > -- > *Dr. Sarath Guttikunda* > > *http://www.urbanemissions.info <http://www.urbanemissions.info>* > > > On Sun, Jan 1, 2023 at 9:36 PM Devdatta Tengshe <[email protected]> > wrote: > >> Hi Shijith, >> >> Your requirement of a 30 m Land Cover from 2008 to 2012 is a difficult >> ask. >> >> This is because there wasn't a good multispectral dataset of that vintage >> which was widely available. It is only with the advent of the Sentinel >> System, and advances in storage, that generating a Global, or even county >> wide LULC dataset became reasonable, at such a high resolution. ( A rule of >> thumb is that your source Multispectral data should be 1/3 spatial >> resolution of your required LULC) >> >> Having said that, there are 2 options that you could look into: >> 1) ESRI has released a Global LULC of 2019-2020 vintage which is freely >> available here: (https://livingatlas.arcgis.com/landcover/) >> 2) NRSC/Bhuvan has a LULC from 2005 Data, which was made at a 1:50k >> resolution, which is approximately equivalent to 50m resolution. The bad >> news is that this is not directly downloadable, and you will have to write >> to them, and see if they are willing to share the data with you. >> >> A third option is that if you have enough resources, you could >> download/buy data of your study area, and generate the LULC. >> >> >> >> >> Regards, >> Devdatta >> >> >> On Thu, 29 Dec 2022 at 20:33, Shijith Kunhitty <[email protected]> wrote: >> >>> So I'm doing some work on Kerala, and wanted to use a land cover dataset >>> that covers any year from 2008 to 2012. >>> >>> Does anyone have any idea on where I could find such data? Preferably at >>> 30m resolution? >>> >>> I was thinking of using one of those global land cover datasets, but >>> they don't work for one reason or the other. >>> >>> I know there is Glance <https://lpdaac.usgs.gov/products/glance30v001/> >>> from >>> Boston University that covers 2001-2019, but they've only released data for >>> North America so far. >>> >>> There are some datasets from academics in China -- FROM-GLC 30 >>> <http://data.ess.tsinghua.edu.cn/>, Globeland30 >>> <http://www.globallandcover.com/home_en.html> -- but their websites are >>> either difficult to navigate or don't work anymore. >>> >>> There are other datasets from NASA >>> <https://developers.google.com/earth-engine/datasets/catalog/MODIS_006_MCD12Q1> >>> and ESA >>> <https://developers.google.com/earth-engine/datasets/catalog/ESA_GLOBCOVER_L4_200901_200912_V2_3>, >>> >>> but at 500m and 300m their spatial resolution isn't high enough. >>> If anyone could give me any leads, I'd really appreciate it >>> >>> Thanks, >>> Shijith >>> >>> >>> -- >>> Datameet is a community of Data Science enthusiasts in India. Know more >>> about us by visiting http://datameet.org >>> --- >>> You received this message because you are subscribed to the Google >>> Groups "datameet" group. >>> To unsubscribe from this group and stop receiving emails from it, send >>> an email to [email protected]. >>> To view this discussion on the web visit >>> https://groups.google.com/d/msgid/datameet/105f2d6b-de1b-4fad-9c44-c1c2a201c357n%40googlegroups.com >>> >>> <https://groups.google.com/d/msgid/datameet/105f2d6b-de1b-4fad-9c44-c1c2a201c357n%40googlegroups.com?utm_medium=email&utm_source=footer> >>> . >>> >> -- >> Datameet is a community of Data Science enthusiasts in India. Know more >> about us by visiting http://datameet.org >> --- >> You received this message because you are subscribed to the Google Groups >> "datameet" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected]. >> > To view this discussion on the web visit >> https://groups.google.com/d/msgid/datameet/CAOQOUMu_yXjMBpjYc-YTjrkh3uf8BqUWXiHGKUkx3%3DkqU0Hbxw%40mail.gmail.com >> >> <https://groups.google.com/d/msgid/datameet/CAOQOUMu_yXjMBpjYc-YTjrkh3uf8BqUWXiHGKUkx3%3DkqU0Hbxw%40mail.gmail.com?utm_medium=email&utm_source=footer> >> . >> > -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/datameet/3042d8f0-1f3c-4113-864c-652fe30400e6n%40googlegroups.com.
