Ph.D. Remote sensing, GIS : Resume CV

[puspa3]

PUSPA PULOMAJA DASH
Email : dash03 AT gmail.com, Puspa_dash AT rediffmail.com

Career Objective :
To work with diligence and dedication to augment personal growth and organizational development.

Work Experience :
Worked as Research fellow of DOS-DBT (Department of Space and Department of Biotechnology) project entitled ‘Biodiversity Characterization at landscape level using Remote Sensing & GIS (Phase II)’ at Indian Institute of Remote Sensing (NRSC), Department of Space, Government of India. Since 30th June 2003-25th July 2006.

Academic Qualification (s) :
1. Doctorate in Space Sciences from the University of Pune, 2009.
2. Masters in Space Sciences from Pune University, in 2002 (61.65%)
3. Bachelor in Botany from Utkal University, Orissa, in 2000 (68%)
4. High School and Intermediate in Science and Mathematics from Board of Secondary Education Orissa, in 1997 and 1995 respectively.

Additional qualification(s) :
- Four months certificate course on “Photgrammetry and Remote Sensing (PRS)” conducted by Indian Institute of Remote Sensing (IIRS), Dehradun, from March 01, 2004 to June 27, 2004 (passed with distinction).
- Short term training on “Field identification of forestry species and management of herbarium” conducted by Forest Research Institute, Dehradun 248001, from February 23-27, 2004.
- International short course on “Geoinformatics for biodiversity Assessment” conducted by Center for Space Science and Technology Education in Asia and Pacific (Affiliated to the United Nations) at Indian Institute of Remote Sensing (IIRS), Dehradun, from August 18, 2003 to September 12, 2003.
- Trainning programme on Autocad based Environment and infrastructure planning from 3rd-7th September, 2001 by Yeshwantrao Chavan Academy of Development Administration, Pune.

Project (s) Undertaken :
- Project Title : Biodiversity Characterization at landscape
level using Remote Sensing & GIS (Phase II)
in central India.(Jharkhand and Chhattisgarh)

Profile : Vegetation type/Land use Classification
Phytosociological Analysis
Database Organisation
Landscape Analysis
Biodiversity Characterisation
- Study of wildlife sanctuary of Bhimashankar using remote sensing and GIS commenced in August 2000 (two years work included in M.Sc.)
Ph D
Topic :
Space remote sensing for wildlife habitat assessment and modelling; - in Palamau wildlife sanctuary, Jharkhand (India)

Objectives :
- Assessing habitat parameters of the wildlife sanctuary;
- To identify the habitat quality vis-à-vis human or anthropogenic processes;
- Habitat suitability modeling for Tiger and
- To identify the pressure zones and suggest strategy to reduce pressure in the surrounding periphery of sanctuary.

Area of Specialization :
Geoinformatics for Resource Management

Computer Literacy :
Operating System : Windows
GIS/DIP Software : ERDAS, ARC/INFO, ARC VIEW, ARC GIS, ILWIS, IDRISI Kilimanjaro
Habitat analysis software : Biomapper, Maxent, Fragstats
Statistical software : SPSS

Publication(s) :
1. Kaushik Priti, P.P Dash (2009). A GIS based Sustainable Irrigation Management Plan for Ferti-irrigation of Sugarcane with Treated Spent Wash” for publication in "Journal of Environmental Science Research : International"(In press).
2. Singh, R., P.K. Joshi, M. Kumar, P.P. Dash and B.D. Joshi (2008). Development of Tiger Habitat Suitability Model using Geospatial Tools - A case study in Achankmar Wildlife Sanctuary (AMWLS), Chhattisgarh India. Environmental Monitoring and Assessment (In press).
3. Joshi, P.K., M. Kumar, A. Paliwal, N. Midha, and P. P. Dash (2008). Assessing impact of industrialization in terms of LULC in a dry tropical region (Chhattisgarh), India using remote sensing data and GIS over a period of 30 years. Environmental Monitoring and Assessment DOI 10.1007/s10661-008-0211-z
4. Dash, P.P., P.K. Joshi and P.S. Roy. (2005). Wildlife habitat assessment and modeling using remote sensing and GIS. Indian Journal of Forestry 29(3) : 217-230.
5. Dash, Puspa P., P.K. Hazara, N.V. Lele, P.K. Joshi and P.S. Roy (2006). Note on an interesting Wood Rot Fungi from Dalma Wildlife Sanctuary, Jharkhand. Indian Journal of Forestry 29(1) : 95-97.
6. Dash, Puspa P., N.V. Lele, P.K. Joshi and P.S. Roy (2005). Edible wild mushrooms from forests of Southern Jharkhand. The Botanica 55 :99-102.
7. Dash, P.P., M. Kumar, P.K. Joshi and P.S. Roy (2005). Landscape analysis for assessing disturbance regimes in Chatra, Jharkhand, India using Geospatial Tools. 25th ISRS annual Convention and National Symposium : Emergence of Geoinformatics for development trends & opportunities, December 6-9, 2005, Ranchi India, pp. 39 (Abstract).
8. Joshi, P.K., P.P. Dash and P.S. Roy. (2005). Biodiversity characterization at landscape level in Jhakhand using satellite remote sensing and geographical Information system. Workshop on Utilization of Remote Sensing, GIS and GPS Technologies for Development of Jharkhand state, 24th September 2005, Ranchi, India, pp. 85-90.
9. Dash, P.P., Joshi, P.K. and Tillu, A.D. (2003). Resourcesat (IRS-P6) sensor system for wildlife habitat characterization. Proceedings of National Seminar for Physics and Technology of Sensors, 4-6, March 2004, University of Pune, Pune.
10. Dash, P.P., Puranik, D.M. and Jagdale, R.P. (2002). Use of satellite remote sensing data (IRS-1B) to classify vegetation of Bhimashankar Wildlife Sanctuary. 9th National Seminar on Physics and Technology of Sensors (NSPTS) held on 5-6th March 2002. Department of Electronics IEEE, Bombay.

Other Articles :
1. Dash, P. P. and P.K. Joshi (2004). The Gentleman of India – Tiger. Contact 7(1) : 11.
2. Dash, P. P. and P.K. Joshi (2004). The Gentleman of India – Tiger. Contact 6(2) : 11.

Technical/ Project Reports :
3. Biodiversity Characterization at Landscape Level in Central India (Jharkhand) using Satellite Remote Sensing and Geographical Information System. Indian Institute of Remote Sensing (NRSA), Dehradun (DOS-DBT Project) 2006. pp 112.
4. Biodiversity Characterization at Landscape Level in Central India (Chhattisgarh) using Satellite Remote Sensing and Geographical Information System. Indian Institute of Remote Sensing (NRSA), Dehradun (DOS-DBT Project) 2006. pp 108.

Personal Profile :
Date of Birth : July 5, 1980
Nationality : Indian
Hobbies : Traveling and Listening to Music
Languages Known : Hindi, English, Oriya, Bengali and Marathi

[Guest]

Name : Preeti Semwal
E-mail : preeti.semwal7 AT gmail.com

Educational Qualifications:
Certificate/DegreeYear School/College/Board/UniversitySubjects Marks(%)/CGPDivision:
High School/10th 2004 U.K.Board Hindi, English,Mathes,science,S.Sci. H.Sci. 74.1%1st
Intermediate/12th2006 U.K. BoardGen. Hindi, English, Physics,Chemistry,Biology64% 1st BSc. 2009 H. N. B. Garhwal Central UniversityChemistry, Zoology, Botany57.5%2nd
MSc Environmental Science ( Natural Resource Management 2010 DOON UNIVERSITY Natural Resources Management 78% in 3th Sam,4th Sam Result Awaited

3. Field Study/Internship:
(i) Organization/Institution : Uttarakhand Space Application Centre, Dehradun
(ii) Period of attachment : 2 Month
(iii) Reports Prepared :
(a) Organization/Institution : Uttarakhand Space Application Centre, Dehradun
(b) Project :
Title : Hazard Zonation Map in Uttarkashi District Using RS and GIS Techniques and Studies on Forest-Type Map of Dehradun Using RS and GIS Techniques.
Objectives :
1. To create the knowledge for implementing and management the Natural resources Basis on Remote Sensing and GIS.
2. To develop the Skill and knowledge in this field by the research training
3. To understand the various aspects of RS and GIS

Brief Summary of Findings :
Hazard Zonation Map in Uttarkashi District Using RS and GIS Techniques : Remote sensing and GIS techniques play a significant role in landslide zonation mapping. Landslide identification, which is a crucial parameter for any regional landslide hazard assessment, can be very well done particularly with aerial photographs. Coupled with aerial photos, GIS is an excellent tool to display the spatial distribution of landslides along with their attributes. Landslide hazard zonation mapping was attempted for the Uttarkashi district using the different technology in which Georeferencing, Supervised and Unsupervised Classification, Digitization and Map Composition in ERDAS and Arc view Software. By the study evident from the landslide hazard map that a large area in Uttarkashi region in falling under (6.0-6.5) of seismic zone. Further the area is mapped into three categories which is (i) Landslide Prone Areas (ii) (Sh, Wh. Fm) (iii) (Svh, Wm, Fml).the three zones divided in different areas which is 53.34km2, 18.76km2 and 13.43km2 respectively.

Forest-Type Map of Dehradun Using RS and GIS Techniques : It is my additional work from Doon University in which The study culminated forest type map in part of the district on 1:50.000 scale. The study demonstrated effective role of the spatial technologies viz. Remote Sensing and GIS in mapping forest type .the study showed that synergistic use of remote sensing physically data facilitates in mapping of the forest types. The detailed inventory of trees, shrubs and herbs in each forest type and their information were gathered. The forest-type map show the cover area and in other side the non-forest area is spreading into urbanization and cultivated area, decrease the forest cover area so it is necessary that we should take to action for conserved and protect of the forest areas for its sustainable utilization. The forest- type map given the idea that nearly 34.07% area take under the forest whereas a large area 64.7% of area under non-forest area

Supervisor : Dr. M. M. Kimothi
4. MSc Dissertation :
(i)Organization/Institution : Doon University
(ii) Period of attachment : 6 Month
Title : Study on Ecological parameters and Landslide Hazard Zonation Mapping using Remote Sensing and GIS Techniques. A Case Study of Danda, Rajpur (Dehradun).
Objectives :
1. To delineate a landslide zonation map using remote sensing and GIS.
2. To develop a spatial database for landslide analysis and provide a decision support tool for hazard managers and planners.
3. To study the change detection analysis of study area between 20 years and quantify the causes of landslides by natural and other activities.
4. To study the ecological changes to Vegetation and Soil due to landslides.
(iii) Brief Summary of Findings : In the study, simple conventional method of subjective weighting has been applied for Landslide Susceptibility Mapping in Danda, Rajpur, Dehradun region of Garhwal. Probability analysis was carried out for verifying the LS map.Landslide susceptibility Map prepared indicates that most of the slopes in the area fall under High to Moderate Susceptibility category. A large part of the land is found under built up land activities which indeed are further susceptible to sliding. Landslide susceptibility Hazard Analysis Using GIS, at Danda, Rajpur, showed that the scrub and barren land indicated in the LS map falls under the Very high susceptible category which has been verified in the field also. Satellite data such as Landsat TM and Quikbird are good source to provide information accurately. Under utilization of potential land, increased population, and land conversion are the major driving forces for the change in land use during the past 20 years. The Change Detection analysis revealed the settlement area has increased which is dangerous for future because the active landslide is highly vulnerable and could devastate settlement nearby of course the vegetation loss in the nearby open forest that area depleting faster due to increased built up area in the recent past. Study based on the experimental data on the vegetation and soil properties of area disturbed by landslide reveals that the top and bottom of the landslide is having significantly lower concentrations of nutrients compared to the control site. Higher clay content in control site than in the landslide indicates that control site has substantially recovered in time as this site also contains high content of the all soil nutrient except phosphorus. The soil moisture was lower in the landslide compared to control site, whereas bulk density was higher in the control site. Nonetheless, in the recovery process the soil organic carbon gradually increased. In the landslide area the soil was alkaline. In general, bacterial and fungal populations were lower in the landslide and the highest population was recorded in control site. Plant species Lantana camara and Pureria tuberose were dominant in the site. Generally, tree species were rare; however, Malotus pillippensis was the only tree found growing in the landslide area.

(iv) Supervisor : Dr. Kusum Arunachalam
5. My Objectives : To Obtain a Responsible and Challenging Position That Will Utilize My Educational Background, Expand My Knowledge and to know the more experience regarding in Remote Sensing and GIS technology.

6. Instruments used/ handled : Ph Meter, Electric Conductivity, Light Intensity, GPS, Spectrophotometer, Flame photo meter, Incubation, Autoclave, Laminar Airflow

7. Software used : ERDAS, Arc GIS, SPSS, Statica

8. Conferences/Workshops/ Training/ Certificate programmes attended :
- Participated in Esri India’s “Geovision Seminar Series” 2010, Dehradun.
- Participated in International Workshop on “Source, Treatment and Distribution of Drinking Water”, 2009 at Indian Council of Forestry Research & Education, Dehradun.
- Participated in “International Conference on Mountain Biodiversity Conservation and Sustainable Utilization” on 13-15 March 2010 at Doon University.
- Participated in “2nd Rashtriya Yuva Vaigyanik Sammelan- 2010” at Doon University, Dehradun.
- Participated in “5th Uttarakhand State Science and Technology Congress-2010” on 10-12 November 2010 at Doon University
- Participated in Vermi-Composting Seminar in Doon University, Dehradun in 2011
- NSS C-Certificate Holder.

9. Institutions visited: Forest Research Institute, Central Soil and Water Conservation Research training Institute, Wadia Institute of Himalayan Geology, Uttarakhand Space Application Centre, Forest Survey of India, Dehradun

10. Study Tour(s) undertaken (Places/Institutions visited, activities undertaken):
Palampur Agriculture University, Guru Nanak Dev University, Amritsar, Atari Border, Dhramshala, Kangra in Himachal Pradesh, H. N. B. Central University, Srinagar, Harbel Research and Development Institute Chamoli, Virhi, Gopeshwar Joshimath, Auli, Badrinath.