H
Hitendra Padalia
Researcher at Indian Institute of Remote Sensing
Publications - 59
Citations - 1283
Hitendra Padalia is an academic researcher from Indian Institute of Remote Sensing. The author has contributed to research in topics: Biodiversity & Vegetation. The author has an hindex of 14, co-authored 50 publications receiving 832 citations. Previous affiliations of Hitendra Padalia include National Remote Sensing Centre & Indian Space Research Organisation.
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Journal ArticleDOI
Development of Decadal (1985–1995–2005) Land Use and Land Cover Database for India
Partha Sarathi Roy,Arijit Roy,Pawan Kumar Joshi,Manish Kale,V. K. Srivastava,Sushil K. Srivastava,Ravi S. Dwevidi,Chitiz Joshi,Mukunda Dev Behera,Prasanth Meiyappan,Yeshu Sharma,Atul K. Jain,J. S. Singh,Yajnaseni Palchowdhuri,Reshma M. Ramachandran,Bhavani Pinjarla,V. Chakravarthi,Nani Babu,Mahalakshmi S. Gowsalya,Praveen Thiruvengadam,Mrinalni Kotteeswaran,Vishnu Priya,Krishna Murthy V. N. Yelishetty,Sandeep Maithani,Gautam Talukdar,Indranil Mondal,K. S. Rajan,Prasad S. Narendra,Sushmita Biswal,Anusheema Chakraborty,Hitendra Padalia,Manoj Chavan,Satish N. Pardeshi,Swapnil A. Chaudhari,Arur Anand,Anjana Vyas,Mruthyunjaya K. Reddy,M. Ramalingam,R. Manonmani,Pritiranjan Behera,Pulakesh Das,Poonam Tripathi,Shafique Matin,Mohammed Latif Khan,Om Prakash Tripathi,Jyotihman Deka,Prasanna Kumar,Deepak Kushwaha +47 more
TL;DR: The present study utilizes the satellite images to generate national level LULC maps at decadal intervals for 1985, 1995 and 2005 using onscreen visual interpretation techniques with minimum mapping unit of 2.5 hectares to conclude that this dataset has captured the maximum cumulative patch diversity frequency, indicating the detailed representation that can be attributed to the on- screen visual interpretation technique.
Journal ArticleDOI
Modeling potential invasion range of alien invasive species, Hyptis suaveolens (L.) Poit. in India: Comparison of MaxEnt and GARP
TL;DR: This study model the potential invasion range of bushmint in India and investigates prediction capabilities of two popular species distribution models (SDM) viz., MaxEnt (Maximum Entropy) and GARP (Genetic Algorithm for Rule-Set Production).
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New vegetation type map of India prepared using satellite remote sensing: Comparison with global vegetation maps and utilities
Partha Sarathi Roy,Mukunda Dev Behera,M. S. R. Murthy,Arijit Roy,Sarnam Singh,S. P. S. Kushwaha,Chandra Shekhar Jha,S. Sudhakar,Pawan Kumar Joshi,Ch. Sudhakar Reddy,Stutee Gupta,Girish Pujar,C. B. S. Dutt,V. K. Srivastava,M. C. Porwal,Poonam Tripathi,J. S. Singh,V. S. Chitale,Andrew K. Skidmore,G. Rajshekhar,Deepak Kushwaha,Harish Karnatak,Sameer Saran,A. Giriraj,Hitendra Padalia,Manish Kale,Subrato Nandy,C. Jeganathan,C. P. Singh,Chandrashekhar Biradar,Chandrashekhar Biradar,Chiranjibi Pattanaik,D. K. Singh,G. M. Devagiri,Gautam Talukdar,Rabindra K. Panigrahy,Harnam Singh,J. R. Sharma,K. Haridasan,Shivam Trivedi,Kiran Singh,L. Kannan,M. Daniel,M. K. Misra,Madhura Niphadkar,Nidhi Nagabhatla,Nupoor Prasad,Om Prakash Tripathi,P. Rama Chandra Prasad,Pushpa Dash,Qamer Qureshi,Shri Kant Tripathi,B. R. Ramesh,Balakrishnan Gowda,Sanjay Tomar,Shakil Ahmad Romshoo,Shilpa Giriraj,Shirish A. Ravan,Soumit K. Behera,Subrato Paul,Ashesh Kumar Das,B. K. Ranganath,T. P. Singh,T. R. Sahu,Uma Shankar,A. R. R. Menon,Gaurav Srivastava,Neeti,Subrat Sharma,U. B. Mohapatra,Ashok Peddi,Humayun Rashid,Irfan Salroo,P. Hari Krishna,P. K. Hajra,A. O. Vergheese,Shafique Matin,Swapnil A. Chaudhary,Sonali Ghosh,Udaya Lakshmi,Deepshikha Rawat,Kalpana Ambastha,Akhtar H. Malik,B. S. S. Devi,Balakrishna Gowda,K. C. Sharma,Prashant Mukharjee,Ajay Sharma,Priya Davidar,R. R. Venkata Raju,S. S. Katewa,Shashi Kant,Vatsavaya S. Raju,B. P. Uniyal,Bijan Debnath,D. K. Rout,Rajesh Thapa,Shijo Joseph,Pradeep Chhetri,Reshma M. Ramachandran +99 more
TL;DR: This vegetation type map is the most comprehensive one developed for India so far and was prepared using 23.5 m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil.
Journal Article
Phytosociological observations on tree species diversity of Andaman Islands, India
TL;DR: Sustainability of forest biodiversity is critical for the exi stence of tribal races and overall environmental conditions in these Andaman Islands archipelago, in the face of increasing immigrant population and deve lopmental pressure.
Journal ArticleDOI
Forest tree species discrimination in western Himalaya using EO-1 Hyperion
TL;DR: The potential utility of narrow spectral bands of Hyperion data in discriminating tree species in a hilly terrain is demonstrated and classification accuracy achieved with Hyperion bands was significantly higher than Landsat TM bands.