Re: [datameet] all india district boundary

[Ujaval Gandhi]

Hi Kunal,

Check out
https://github.com/justinelliotmeyers/India_Official_Boundaries_2019
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On Tue, May 5, 2020 at 4:10 PM kunal s  wrote:

> hi,
>
> does anyone have latest shapefile (or direct me to a link) for latest all
> india district shape file ?
>
> I believe the district count stands at 734 as on date
>
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Re: [datameet] India Population - Pincode Level Data

[Ujaval Gandhi]

The HRSL data is a great resource, but is not yet available for India. [see
downloads ]

On Tue, Sep 29, 2020 at 2:01 PM Sarabjeet Matharu <
sarabjeet.mathar...@gmail.com> wrote:

> Hi Soumya,
>
> Thanks for sharing. Great resource to go through !
>
> Regards,
> Sarabjeet
>
>
> On Sun, Sep 27, 2020 at 11:01 AM Soumya Ranjan 
> wrote:
>
>> Facebook's HRSL data
>> 
>> is available at 30m resolution. You can aggregate at the Pincode level if
>> you have the boundaries.
>>
>> Regards,
>> Soumya
>>
>> On Thu, Sep 24, 2020 at 5:33 PM Sarabjeet Matharu <
>> sarabjeet.mathar...@gmail.com> wrote:
>>
>>> Hi
>>>
>>> I'm looking for population data by geography, ideally at the pincode
>>> level. Is this data readily available, perhaps through census or similar
>>> sources?
>>>
>>> Please let me know if such data is available at whatever granularity
>>> possible.
>>>
>>> Thanks,
>>> Sarabjeet
>>>
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>>> 
>>> .
>>>
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Re: [datameet] DOS release Remote Sensing Policy 2020 draft for public comment

[Ujaval Gandhi]

Hi Sharad,

Thanks for sharing. From the perspective of sharing ISRO's own data, the
policy says

" In the interest of promoting research, innovation, societal applications
and value addition, DOS shall make IRS satellite data having GSD of 5 meter
and coarser, easily accessible on ‘free and open’ basis. "

I think this is really good. As the best open remote sensing multispectral
data currently is Sentinel-2 (10m), ISRO sharing LISS4 (5.6m) data puts
them ahead of USGS and ESA. Of course, the concern would be the
implementation and how fast they can make that data available. My comment
here would that they adopt a true open data license for this data, like
Government Open Data License.

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On Fri, Nov 27, 2020 at 7:33 PM Thejesh GN  wrote:

> Thank you for sharing. We should send out comments as community.
> Thej
> --
> Thejesh GN *⏚* ತೇಜೇಶ್ ಜಿ.ಎನ್
> http://thejeshgn.com
> GPG ID :  0xBFFC8DD3C06DD6B0
>
>
> On Fri, 27 Nov 2020 at 19:30, Sharad Lele (शरच्चंद्र लेले) <
> sharad.l...@gmail.com> wrote:
>
>> Please read and comment.
>>
>>
>> https://www.isro.gov.in/sites/default/files/spacers_policy_ngp_2020_draft.pdf
>>
>> Sharad
>>
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>>
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Re: [datameet] Query regarding Heat map Generation

[Ujaval Gandhi]

Hi Jagades,

There are many ways to do it. Here are some ways to achieve this in QGIS

Easiest would be to use the GPX tracks (lines). QGIS has a tool 'Line
Density' in Processing Toolbox that will give you a heatmap based on
overlapping line segments. If you just have points with timestamps and
track id, use the 'Points to Path' tool to create tracks.

A more complex but accurate way would be to first snap your GPS points to
the road segments. I outline the process here
https://spatialthoughts.com/2020/02/22/snap-to-roads-qgis-and-osrm/ . If
you don't care much about accuracy, you can use 'Snap Geometries to Layer'
tool in QGIS and snap each GPS point to the nearest road segment. Then you
can do a spatial join 'Join Attributes by Location (summary)' and count the
number of points on each segment. Then you can use apply a symbology using
the 'count' field for each line segment.

I can think of 5 other ways, but instead of listing them here, I'll point
you to this thread which has more ideas :)
https://gis.stackexchange.com/questions/264710/doing-heatmap-from-line-data-in-qgis

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On Fri, Dec 4, 2020 at 1:32 AM Jagades Vignesvar 
wrote:

> Dear All,
> I have a set of GPS Points (in both .gpx and .csv format), and the base
> road layers in .shp format. Can anybody help how to generate a Line Heat
> Map based on the available GPS points? (Like a larger number of GPS points
> on a particular route indicates its being used frequently)
> Thanks in advance.
>
> *Vignesvar J.*
> *Civil Engineer | *
> *Urban & Regional Planner*
>
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Re: [datameet] DOS release Remote Sensing Policy 2020 draft for public comment

[Ujaval Gandhi]

h are really the cutting-edge
>>>> these days, are they not?
>>>>
>>>> Sharad
>>>>
>>>> On Friday, November 27, 2020 at 8:13:01 PM UTC+5:30
>>>> uja...@spatialthoughts.com wrote:
>>>>
>>>>> Hi Sharad,
>>>>>
>>>>> Thanks for sharing. From the perspective of sharing ISRO's own data,
>>>>> the policy says
>>>>>
>>>>> " In the interest of promoting research, innovation, societal
>>>>> applications and value addition, DOS shall make IRS satellite data having
>>>>> GSD of 5 meter and coarser, easily accessible on ‘free and open’ basis. "
>>>>>
>>>>> I think this is really good. As the best open remote sensing
>>>>> multispectral data currently is Sentinel-2 (10m), ISRO sharing LISS4 
>>>>> (5.6m)
>>>>> data puts them ahead of USGS and ESA. Of course, the concern would be the
>>>>> implementation and how fast they can make that data available. My comment
>>>>> here would that they adopt a true open data license for this data, like
>>>>> Government Open Data License.
>>>>>
>>>>> [image: Logo] <https://spatialthoughts.com/>
>>>>> Ujaval Gandhi
>>>>> Spatial Thoughts
>>>>> mobile: +91-8095684687 <+91%2080956%2084687>
>>>>> email: uja...@spatialthoughts.com
>>>>> [image: LinkedIn icon] <https://www.linkedin.com/in/spatialthoughts/>
>>>>>   [image: Twitter icon] <https://twitter.com/spatialthoughts>
>>>>>
>>>>>
>>>>>
>>>>> On Fri, Nov 27, 2020 at 7:33 PM Thejesh GN  wrote:
>>>>>
>>>>>> Thank you for sharing. We should send out comments as community.
>>>>>> Thej
>>>>>> --
>>>>>> Thejesh GN *⏚* ತೇಜೇಶ್ ಜಿ.ಎನ್
>>>>>> http://thejeshgn.com
>>>>>> GPG ID :  0xBFFC8DD3C06DD6B0
>>>>>>
>>>>>>
>>>>>> On Fri, 27 Nov 2020 at 19:30, Sharad Lele (शरच्चंद्र लेले) <
>>>>>> shara...@gmail.com> wrote:
>>>>>>
>>>>>>> Please read and comment.
>>>>>>>
>>>>>>>
>>>>>>> https://www.isro.gov.in/sites/default/files/spacers_policy_ngp_2020_draft.pdf
>>>>>>>
>>>>>>> Sharad
>>>>>>>
>>>>>>> --
>>>>>>> Datameet is a community of Data Science enthusiasts in India. Know
>>>>>>> more about us by visiting http://datameet.org
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>>>>>>> Groups "datameet" group.
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>>>>>>> send an email to datameet+u...@googlegroups.com.
>>>>>>> To view this discussion on the web visit
>>>>>>> https://groups.google.com/d/msgid/datameet/e9221cdf-1e29-9f26-cd5a-1b031ba51761%40gmail.com
>>>>>>> .
>>>>>>>
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>>>>>> send an email to datameet+u...@googlegroups.com.
>>>>>>
>>>>> To view this discussion on the web visit
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>>>>>> <https://groups.google.com/d/msgid/datameet/CAABnYsWm7xuY33vkAP0nu8qDRBibSwFx-pEGKCESe5Nuu9Bn6g%40mail.gmail.com?utm_medium=email_source=footer>
>>>>>> .
>>>>>>
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Re: [datameet] Routing challenge: Covery every path optimally

[Ujaval Gandhi]

A colleague of mine solved a similar problem using the OpenRouteService
API. They used k-means clusters to determine the initial distribution of
points between surveyors and the optimization API
<https://openrouteservice.org/dev/#/api-docs/optimization/post> for solving
optimal routing between the points.

Another less glamorous but maybe a more practical solution: Overlay a grid
and count the length of roads inside each grid. Assign grids to each
surveyor. You can add distance from starting point in the calculation as
well. I have run field operations before, and a grid-based approach is
usually more manageable than a complex 'start here and walk the streets in
this order'.

Good luck!
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On Tue, May 11, 2021 at 9:09 AM Nikhil VJ  wrote:

> Hi All,
>
> Wishing everyone good health, stability and pragmatism in these times.
> I came across a certain technical problem statement pertaining to ground
> survey planning in a target area:
>
> Given X ground surveyors,
> Create X routes that start from one location,
> Cover all the existing roads and pedestrian pathways in the target area
> (obtained from OpenStreetMap data),
> Such that each path is walked over at least once.
> Balance the distance amongst the routes so that no one gets the brunt of
> the tasks.
>
> Variant 1: Multiple starting locations allowed.
>
> Reaching out to check if anyone has experience working this out? It seems
> like a common/recurring challenge that can use a common solution.
>
> I'm checking out OSMNX, but not finding a usable example yet over there.
>
> One idea: Plot a point at say every 50 meters along all the paths. Inspect
> and adjust manually at intersections etc. Then run a travelling salesman
> type algorithm on it to ensure that each point has been covered at least
> once.
>
> Another idea: Create a user interface to assist a person to work out the
> solution manually - make selections, plot the routes and see the result,
> tweak the selections and try again. Less glamorous but possibly more
> effective than chasing behind exotic algorithms.
>
> One base dataset required for such problems is: distance matrix. Another:
> way to map on-road route between any two points, lots of times. I've got
> those sorted out using OSRM, so no worries on that front.
>
> Please forward this to colleges / students that might be looking for such
> problem statements to take up. I can setup an official internship if
> required.
>
> --
> Cheers,
> Nikhil VJ
> https://nikhilvj.co.in
>
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Re: [datameet] Re: Delhi draft DP pdf turned into a map (and you can do it too)

[Ujaval Gandhi]

Nikhil and Rajeswari - really impressive work! Thanks for sharing the
process for GeoPDF extraction and hosting them on a nice static map. Will
definitely be pointing people to your repo.
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On Sat, Jul 17, 2021 at 7:12 PM Ganesh Babu  wrote:

> This is a very important missing part in the existing information
> dissemination and feedback collection components of master plan
> development in Indian cities. I am planning to try something similar for
> Chennai when they eventually release master plan 3.0
>
> In case you aren't aware, a bunch of like-minded non-governmental
> organisations are working on a campaign called Main Bhi Dilli
> <https://www.mainbhidilli.com/>  to make planning in Delhi more
> representative and inclusive by engaging citizens in the 2041 Master Plan
> process. I think your online tool can be a valuable component of their
> efforts too. Potentially their combined resources can help tackle some of
> the issues you raised in the input collection component. Their contact
> information is on the website, in case you can't reach them, I can put you
> in touch with one of the organisers if you are interested.
>
> Fantastic work again!
>
> On Thu, 15 Jul 2021 at 20:51, Arun Ganesh  wrote:
>
>> This is fantastic work Nikhil! Love how it's parametrized for easy
>> configuration.
>>
>> The backend part for citizen inputs is especially interesting and would
>> really complete the whole loop for so many such geospatial applications.
>> The moderation of such content is definitely a pain and something i keep
>> thinking about. It may be helpful just to have it hosted as a demo for the
>> platform.
>>
>> On Thu, Jul 15, 2021 at 2:29 PM Naraina Damle 
>> wrote:
>>
>>> GOOD
>>>
>>> On Tuesday, July 13, 2021 at 8:41:14 AM UTC+5:30 nikh...@gmail.com
>>> wrote:
>>>
>>>> Hi All,
>>>>
>>>> Sharing about a recent collaboration I did with Rajesvari Parasa to
>>>> turn a development plan PDF into an web based interactive map. Spinoffs
>>>> from here may be useful to the data community.
>>>>
>>>> Here's the output:
>>>> https://draftmpd41.github.io/
>>>>
>>>>
>>>>
>>>>
>>>> Sharing what went into it:
>>>>
>>>> 1. Extracting from PDF
>>>> - It's one of those PDFs exported from Autocad or so where you can see
>>>> multi-layers and turn them on or off.
>>>> - Rajesvari used a command-line GIS tool called "ogr2ogr
>>>> <https://duckduckgo.com/?t=lm=ogr2ogr=web>" to extract individual
>>>> layers from the PDF into .geojson shapefiles.
>>>> - There was a tricky bit where the output lat-longs were all like
>>>> (716882.20,3166456.28) - a different CRS and we didn't know which.
>>>> - I used http://projfinder.com/ to find it, then Rajesvari included
>>>> CRS conversion into the ogr2ogr commands to produce proper shapefiles.
>>>> - You can see all that in this repo:
>>>> https://github.com/draftmpd41/layers_draft_delhi_master_plan_2041 -
>>>> see the .bat file for the ogr2ogr commands
>>>>
>>>>
>>>> 2. Poor person's GIS system
>>>> - I cobbled together a static website (html + vanilla javascript) that
>>>> mimics those geoserver-driven multiple-layers-groups sites like we see at
>>>> Bhuvan and various municipal corporations' GIS portals.
>>>> - Code: https://github.com/draftmpd41/draftmpd41.github.io
>>>> - Parameterised the whole thing: By editing a small JS file and CSV
>>>> table, you can repurpose this to make it yours.
>>>> - The site is static, as in: no backend. Can run it anywhere.
>>>> - Loads layers only when user clicks on them first time. So, site loads
>>>> quickly even if data is heavy.
>>>> - Disclaimer: if you don't want your site visitors grabbing all the
>>>> data, then please go the geoserver way. This one's for open sharing (F12 >
>>>> Network > XHR)
>>>>
>>>>
>>>> 3. Developed but not deployed: Citizens inputs layer
>>>> - Here, I added in a citizens' inputs form to capture geo-located
>>>> comments. The comments go to a backend program where they'r

Re: [datameet] Delhi Metro

[Ujaval Gandhi]

I have found the maps by Metro Rail Guy (TMRG) the most comprehensive and
up-to-date. The maps are not downloadable but would be a good reference.

https://themetrorailguy.com/delhi-metro-information-map-updates/
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On Fri, Mar 25, 2022 at 9:19 AM Nikhil VJ  wrote:

> Hi Vaibhav,
>
> Where all have you already looked for initial info, and over and above
> that what is missing that are you still looking for?
>
> Possible sources for metadata:
> https://www.delhimetrorail.com/
> https://en.wikipedia.org/wiki/Delhi_Metro
> https://delhi-metro.net/
> https://www.wikidata.org/wiki/Q3278367 (explore around from there)
>
> For geospatial data, you can get into the data extraction side of
> Openstreetmap - the open-data alternative to google maps which lets people
> extract specific data out of it.
> https://overpass-turbo.eu/
> If you navigate to NCR region and open Wizard and put in
> "railway=station", you get a lot of hits. But these may also include the
> regular railway stations, so you can select a positive result, see more
> tags there and refine your search further.
> if we change the query in the Wizard box to : railway=station and
> network="Delhi Metro"
> ..then it gets better.
>
> Similarly to get the metro tracks you'll need to search by other tags.
> Find out relevant tags by which you can extract data:
> https://wiki.openstreetmap.org/wiki/Metro_Mapping
>
> Once you've got a good query, can export the data to a shapefile for
> working on.
>
> --
> Cheers,
> Nikhil VJ
> https://nikhilvj.co.in
>
>
> On Fri, Mar 25, 2022 at 1:40 AM VAIBHAV PURI  wrote:
>
>> Hi
>>
>> I am looking for recent most vector data of Delhi Metro along with
>> meta-data like Stations info, year of operation etc.
>>
>> Need it for an ongoing research
>> Any leads would be appreciated.
>>
>> Regards,
>> Vaibhav
>>
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>> .
>>
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Re: [datameet] Binary Classification for Satellite Image

[Ujaval Gandhi]

This process is called 'supervised classification'. You need to build a
2-class classifier and classify the image. There is a lot of literature and
documentation on how to do it. It is not a simple proces and will involve a
bit of learning curve as well as manual effort to collect training samples.

In QGIS, you can use SCP plugin https://www.youtube.com/watch?v=ZPCpWl7NZlU
<https://mailtrack.io/trace/link/b0425311337f0e2c5343b6b38d990489917f4f93?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DZPCpWl7NZlU=8747767=74a88c68de9e1658>
In Google Earth Engine, you can use one of the ML algorithms such as Random
Forest to classify the image. I have a whole module on how to do it as open
courseware
https://courses.spatialthoughts.com/end-to-end-gee.html#module-3-supervised-classification
<https://mailtrack.io/trace/link/01b5f322f565a99dee4ccad3d3c553c2fb68f9c3?url=https%3A%2F%2Fcourses.spatialthoughts.com%2Fend-to-end-gee.html%23module-3-supervised-classification=8747767=5a0156b0c07ffb53>

If yearly classification is ok, you can get ESA WorldCover data for 2020 or
2021 and just extract the Agriculture class. This will save you the effort
of doing your own classification. I have a tutorial to work wth WorldCover
data in QGIS
https://www.qgistutorials.com/en/docs/3/calculating_raster_area.html
<https://mailtrack.io/trace/link/94e15cd399378d5d745736577165e3e2ffdf05ce?url=https%3A%2F%2Fwww.qgistutorials.com%2Fen%2Fdocs%2F3%2Fcalculating_raster_area.html=8747767=10b5976623f92805>
---
Ujaval Gandhi
Spatial Thoughts
www.spatialthoughts.com
<https://mailtrack.io/trace/link/f19dfbe4fe95777d7e9c109056b1fea2db8d04f0?url=http%3A%2F%2Fwww.spatialthoughts.com=8747767=ba8ef528003dc976>



On Tue, Jan 3, 2023 at 11:23 AM georg...@gmail.com 
wrote:

> Hello All,
>  I wanted to classify only two classes in landsat Imagery.
> For example Agriculture land and others. Anyone knows how to process it
> kindly help me to do it. Thanks
>
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> .
>

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Re: [datameet] Q on Monsoon data -- Where do I find 1971-2020 LPAs?

[Ujaval Gandhi]

The IMD gridded rainfall data is available from 1901-2022
https://www.imdpune.gov.in/cmpg/Griddata/Rainfall_25_NetCDF.html
<https://mailtrack.io/trace/link/b238ccfa64f789701a1ca7af3b54a5e3e24d7dcd?url=https%3A%2F%2Fwww.imdpune.gov.in%2Fcmpg%2FGriddata%2FRainfall_25_NetCDF.html=8747767=ce9e45137af369df>

There's a python package 'imdlib' to read and convert this data to XArray.
I have used this in the past to process the data.
https://github.com/spatialthoughts/projects/blob/master/imd/imd_annual_average.ipynb
<https://mailtrack.io/trace/link/ac0912ca419d6e7594c567ca44e4d94d2efdf8a5?url=https%3A%2F%2Fgithub.com%2Fspatialthoughts%2Fprojects%2Fblob%2Fmaster%2Fimd%2Fimd_annual_average.ipynb=8747767=b02d82c756801e30>

You can use this to easily compute LPA and anomalies. Some sample code is
at
https://github.com/spatialthoughts/python-tutorials/blob/main/calculating_climate_anomaly.ipynb
<https://mailtrack.io/trace/link/cfd2a6f58798725326b3d4b471445867173296ea?url=https%3A%2F%2Fgithub.com%2Fspatialthoughts%2Fpython-tutorials%2Fblob%2Fmain%2Fcalculating_climate_anomaly.ipynb=8747767=7d2dc35e6a847df4>

I also have video tutorials and Earth Engine code for calculating LPA and
rainfall anomaly using CHIRPS data
https://www.youtube.com/watch?v=zHUCM3XLc6k=PLppGmFLhQ1HJ5VhW6BZfhPX6spUcTY7SR
<https://mailtrack.io/trace/link/ab43838fe825ee43d84e70966800a6e7c610213d?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DzHUCM3XLc6k%26list%3DPLppGmFLhQ1HJ5VhW6BZfhPX6spUcTY7SR=8747767=e72aaae20e773a90>

---
Ujaval Gandhi
Spatial Thoughts
www.spatialthoughts.com
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On Tue, Jun 20, 2023 at 4:17 PM dimple behal  wrote:

> Hi Shijith,
> I’m also looking for the same. Let me know if you will be able to get
> something.
>
> On Tue, 20 Jun 2023 at 4:11 PM, Shijith Kunhitty 
> wrote:
>
>> This Q. is for people who work with weather data. I'm trying to do
>> something related to the monsoon, but can't find what I'm looking for.
>>
>> Now monsoons are considered normal or not by comparing it with the
>> average  monsoon rainfall over a 50 year period 1971-2020, which is called
>> the long-period average (LPA).
>>
>> Tried looking for state-wise LPAs for 1971-2020 on the IMD website, but
>> couldn't find it.
>>
>> The closest I got was this image
>> <https://mausam.imd.gov.in/Rainfall/Normal_Rainfall_Maps/Monsoon/Monsoon_STATE_NORMAL_RAINFALLMAP_COUNTRY_INDIA_c.JPG>
>> from the IMD but it's for the period 1951-2000.
>>
>> If someone could give me some leads on where to find more recent
>> state-wise LPAs, I'd really appreciate it.
>>
>> -shijith
>>
>>
>>
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>> .
>>
> --
>
> If you have any other questions or need anything else, please feel free to
> write to me directly.
>
> Have a wonderful, and full of positive energy day!
> *Thank you and Regards,*
>
> *Dimple Behal*
> *Urban & Regional Planner*
> *Masters of Planning (Environmental Planning)*
> *School of Planning and Architecture, Bhopal.*
>
> *(An Institute of National Importance, MHRD, Government of India)*
> *Contact : +91-8288852144, **+91-8989958438*
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>
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