To gain first- hand experience of OSM, mapping was done in Mhow subdivision of Indore district in Madhya Pradesh, India. There are 10 subdivisions in the district. Total area of the district is nearly 3900 sq. km with total and rural population of nearly 3.28 and 0.8 million respectively. Nearly 679 sq. km area is under forest cover. Indore city is commercial capital of Madhya Pradesh and has a population of nearly 2 million and has been ranked the cleanest city in India for five consecutive cleanliness surveys from 2017 to 2021. Dr Ambedkar Nagar (Mhow), the headquarter of the subdivision is an important cantonment town. The town is located 23 km south-west of Indore city and has a population of nearly 85 thousand. Four training institutes of Indian Army and Border Security Force and two premier educational institutes namely Indian Institute of Management (IIM) and Indian Institute of Technology (IIT) are also located in the subdivision. National Highways NH52, NH347BG and State Highways SH38, SH38A and SH40, IIM Road and Main District Road pass through the subdivision. Important tourist locations are Choral dam, Patal Pani waterfall, Mhow Fort and Bhim Janmbhumi (birthplace of Dr Bhimrao Ambedkar). Other nearby attractions are Ralamandal Wildlife Sanctuary, Jam Dwar (Jam Gate) etc.

The mapping was done over a period of nearly two and half months. Mostly ESRI World Imagery (Clarity) Beta was chosen as data source. Additionally, Bing aerial imagery was also used. A Cake diagram was drawn with 16 slices. iD editor was used for nearly 94% changes. Other editors used were JOSM and Vespucci. Total changesets and changes were nearly 200 and 5700 respectively. More than 80% and 1% changes were newly created and deleted ones respectively. Changes for features namely roads, buildings, and others were nearly 66, 27 and 7% respectively. Several tertiary, unclassified and residential highway features were created. Editing was needed where two way primary and secondary highways were shown as single ways in OSM. Mostly only large building features were created. Several water bodies and a canal feature were created. River feature was edited to improve its quality near bridges and settlement etc. Dams, weir, aqueduct and bridge and quarry features were created. Leisure and amenities features, namely swimming pools, basketball courts, playground, stadium, stadium buildings, hostel were created. The highway features were reclassified after their creation to suitable subclass based in their importance. This was done by visualizing the ESRI World Imagery in Vespucci editor. Mining area, existing and historic (abandoned) could not be interpreted on imageries and thus no sub classification was done. Brick kiln could not be interpreted and the feature is also a proposed feature and thus was not created. Main District Roads (MDR) were not assigned names. The lesson learnt are as follows:

• Bing aerial imagery had higher water spread area for waterbodies and was a better data source for this feature.
• Buildings are seen in a perspective view in the imageries. To create the feature, first top of the building be mapped and then the feature be moved to overlap the bottom of the building.
• For connecting highways with different importance (e.g. primary and secondary highways), a node be first created for highway of higher importance and then two highways be connected.
• The magic of the ALT key in iD editor (learnt halfway) be remembered while creating a feature close to another existing feature, to avoid creating duplicate nodes.