Thread by @rajbhagatt

#30DayMapChallenge
Map 1: Points

Thermal anomalies observed across Northern India in the last one week. These are primarily stubble-burning crop fire incidents in #Punjab.

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Map 2: Lines (Only one line though 😋)

#Viz shows the elevation profile of Nilgiri Mountain Railway in Tamil Nadu which is an UNESCO world heritage site

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Map 3: Polygons

#Map shows 3 Polygon layers for #Kolkata City

1. Municipal corporation -in 🔴
2. Kolkata Urban Area -Satellite est. -in ⬛️
3. Hooghly River -in 🔵

DYK: More than 2/3rds of Kolkata's urban agg population lives outside the Kolkata Corporation?

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Map 4: Hexagons

#Map shows the religious landscape of #Kerala. The colour of the hexagon denotes the share of places of worship belonging to each religion.
Red-Hinduism; Blue-Christianity; Green - Islam

Created with @osm_in data on places of worship

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Map 5: Blue

Blue domintes #Mumbai's roofing scene. Map shows areas where blue coloured roofs are prevalent. Created based on a simple processing of @CopernicusEU Satellite images

More:

https://twitter.com/WRIIndia/status/1319165743804469248

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Map 5: Red

#Map shows thermal anomalies detected over India in 2020. Includes various causes such as Crop fires, Forest fires, power plants, and even landfill fires. Remember - 2 more months to go.
MadhyaPradesh is one of the leaders but hardly gets noticed

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Map 7: Green

#Map shows locations of ~1400 parks & playgrounds in #Bengaluru using GMaps, OSM, BBMP lists etc shown with backdrop of builtup area. Most of the well maintained parks are within old corp. Lakes, Private spaces fulfill the requirements outside

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Map 8: Yellow

#Map shows locations of lighthouses in India. 170 Lighthouses have been marked in this.

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Map 8: Monochrome

#Viz shows exaggerated elevation of Inter-Tidal zone in Kutch (Gujarat) between Mundra & Kandla. The sea oscillates as much as 5 Kms in certain sections between high & low tides. This month the sea level due to tide varied by 7 meters!

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Map 10: Grid

#Viz shows locations where cyclones, depressions start! Colour denotes the number of the systems that started in the respective grid cell (Size: 0.25 deg). Based on IMD data

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Map 11: 3D

#Viz of Bengaluru shows elevation profile of the city based on processing and digitizing multiple satellite images. The grey dots are buildings that could be classified/identified (A million objects are there)
Repost :)

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Map 12: Map not made with GIS Software

#Map was prepared with Microsoft Excel and shows India's vegetation (as measure of EVI). This was created by adjusting formatting of cell (BG & Font colour). Inset shows @msexcel sheet

Anything can be used to make a map!

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Map 13: Raster

No! It's not a convoluted rainbow..

#Viz shows the lower course of Kosi River in #Bihar where different colours indicate the course of the river in different years. The river is one of the most dynamic!

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Map 14: Climate Change

One of the glacial lakes in Sikkim, Lhonak has been expanding since 1960s. So far, lake has grown by 2 Kms as detected by multiple satellite images.
#Viz shows 3D view as in GoogleEarth. Inset shows glacial lake in old satellite image

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Map 15: Connections

Viz shows internet upload speed as in second quarter 2020 from @Speedtest. At this point , I am convinced that temporal comparison of this data would help monitor Urbanization in #India!

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Map 16: Island(s)

River #Kaveri has a lot of islands in it. Three of the largest islands host a Ranganathaswamy temple in them (marked in orange). 2 of the 3 islands are named in similar fashion (#srirangam) & the other has waterfalls on either side!

#cauvery

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Map 17: Historical Map

During World War I, German Cruiser SMS Emden raided Indian Ocean & bombed Madras (#Chennai) making it only site of WWI in India

The ship was so feared that d word "Emden" entered Tamil & other lngs' lexicon. meaning: tough, street smart

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Map 18: Landuse

#TamilNadu uses nearly 6% of it's land to artificially store water in the form of tanks & lakes (around 45000). This is the highest for any state. Inset shows parts of Ramanathapuram, Sivagangai, Pudukottai dists which have high concentration