New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities

Sarathi Roy, Parth; Behera, M.D; Murthy, M.S.R; Roy, Arijit; Singh, Sarnam; Kushwaha, S.P.S; Jha, C.S; Sudhakar, S; Joshi, Pawan; Reddy, Sudharkar; Gupta, Stutee; Pujar, Girish; Dutt, C.B.S; Srivastava, V.K; Porwal, M.C; Tripathi, Poonam; Singh, J.S; Chitale, Vishwas; Skidmore, A.K; Rajshekhar, G; Kushwaha, Deepak; Karnatak, Harish; Saran, Sameer; Giriraj, A; Padalia, Hitendra; Kale, Manish; Nandy, Subrato; Jeganathan, C; Singh, C.P; Biradar, C.M; Pattanaik, Chiranjibi; Singh, D.K; Devagiri, G.M; Talukdar, Gautam; Panigrahy, Rabindra .K; Singh, Harnam; Sharma, J.R; Haridasan, K; Trivedi, Shivam; Singh, K.P; Kannan, L; Daniel, M; Misra, M.K; Niphadkar, Madhura; Nagabhatla, Nidhi; Prasad, Nupoor; Tripathi, O.P; Chandra Prasad, P.Ram; Dash, Pushpa; Quershi, Qamer; Tripathi, S.K; Ramesh, B.R; Gowda, Balakrishna; Tomar, Sanjay; Romshoo, Shakil; Giriraj, Shilpa; Ravan, Shirish A.; Behera, Soumit Kumar; Paul, Subrato; Das, Ashesh Kumar; Ranganathan, B.K; Singh, T.P; Sahu, T.R; Shankar, Uma; Menon, A.R.R; Srivastava, Gaurav; <not given>, Neeti; Sharma, Subrat; Mohapatra, U.B.; Peddi, Ashok; Rashid, Humayun; Salroo, Irfan; Krishna, P. Hari; Hajra, P.K.; Vergheese, A.O.; Matin, Shafique; Chaudhary, Swapnil A.; Ghosh, Sonali; Lakshmi, Udaya; Rawat, Deepshikha; Ambastha, Kalpana; Malik, Akhtar H.; Devi, B.S.S.; Sharma, K.C.; Mukharjee, Prashant; Sharma, Ajay; Davidar, Priya; Raju, R.R.Venkata; Katewa, S.S.; Kant, Shashi; Raju, Vatsavaya S.; Uniyal, B.P.; Debnath, Bijan; Rout, D.K.; Thapa, Rajesh; Joseph, Shijo; Chhetri, Pradeep; Ramachandran, Reshma M

doi:10.5281/zenodo.11615011

Published March 29, 2015 | Version v1

Dataset Open

New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities

1. Indian Institute of Remote Sensing
2. Indian Institute ofTechnology
3. International Centre for Integrated Mountain Development
4. National Remote Sensing Centre
5. North Eastern Space Applications Centre
6. Jawaharlal Nehru University
7. Indian Institute of Technology Kharagpur
8. Banaras Hindu University
9. University of Twente
10. International Water Management Institute
11. Independent Consultant
12. Birla Institute of Technology, Mesra
13. Space Application Center
14. College of Forestry, Karnataka
15. Wildlife Institute of India
16. CDAC Maharashtra
17. Arunachal Pradesh Forest Department
18. RRSC Bengaluru
19. Annamalai University
20. Maharaja Sayajirao University of Baroda
21. Berhampur University
22. International Center for Agricultural Research in Dry Areas (ICARDA),
23. North East Hill University
24. International Institute of Information Technology, Hyderabad
25. North Eastern Hill University
26. International Center for Agricultural Research in Dry Areas (ICARDA)
27. University of Agricultural Sciences, Bangalore
28. World Agroforestry Centre
29. University of Kashmir
30. UNSPIDER Beijing
31. National Botanical Research Institute
32. Forestry & GIS Consultant at Louis Berger
33. Assam University
34. Symbiosis Institute of Geoinformatics
35. Dr. Hari Singh Gour University
36. G.B. Pant Institute of Himalayan Environment and Development
37. Kerala Forest Research Institute
38. North Orissa University
39. Botanical Survey of India
40. R.R.S.C. NBSS &LUP Campus
41. MDS University
42. Calcutta University
43. Lincoln University
44. Pondicherry University
45. SK University
46. Mohanlal Sukhadia University
47. University of Jammu
48. Kakatia University
49. CSIR – Institute of Minerals and Materials Technology
50. DAMI
51. University Center of Earth and Space Science

The dataset is the vegetation type map for India as per Roy et 2015 "New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities".

The dataset consistes of two files- (1) a raster GIS file at 60m spatial resolution (EPSG 32643 WGS 84/ UTM Zone 34) in which each pixel value means a vegetation class as defined and mapped in Roy et al., 2015 and (2) a csv file which contains information matching the pixel value with the vegetation type.

For all additional information, please refer to the pper reviewed publication.

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VegAttributes.csv

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VegAttributes.csv md5:7472e53a2660ac6a4cd41585a2846ba5	27.5 kB	Preview Download
VegetationTypeMap_India.7z md5:4d8895d77b930ce65a47ed715edac48e	58.6 MB	Download

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New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities

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VegAttributes.csv

Files (58.6 MB)