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2020 NMHS-Annual Progress Report (APR) Pro Forma Page 1 of 72 National Mission on Himalayan Studies (NMHS) NMHS Annual Progress Report – Pro forma Kindly fill the NMHS Annual Progress Report segregated into following 11 segments, as applicable to the objectives & quantifiable outcomes of your NMHS Project. 1. Project Information 2. Project Site Details 3. Project Activities Chart w.r.t. Timeframe [Gantt or PERT] 4. Financial and Resource Information 5. Equipment and Asset Information 6. Expenditure Statement and Utilization Certificate (UC) 7. Project Beneficiary Groups 8. Project Progress Summary (as applicable to the project) 9. Project Linkages (with concerned Institutions/ State Agencies) 10. Knowledge Products – Publication, recommendations, etc. 11. Project Concluding Remarks Kindly attach a descriptive Annexure/ Files separately for the segments marked for the detailed description required. Please let us know in case of any query at: [email protected] NMHS 2020 NMHS-Annual Progress Report (APR) Pro Forma Page 1 of 72 NMHS Progress Report (Period from 2019. to 2020) 1. Project Information Project ID: GBPNI/NMHS-2017-18/MG Sanction Date: 26-02-2018 Project Title: Hyperspectral Imaging for sharper definitions of Himalayan Ecosystems and its high- value plant species under climate uncertainties. BTG: Biodiversity Conservation and Management PI and Affiliation Dr Prashant Kumar Srivastava (Institution): Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh Name & Address • Prof. Rajesh Kumar Mall, Professor, Coordinator DST Mahamana Centre for of the Co-PI, if Excellence in Climate Change Research, Institute of Environment and any: Sustainable Development, Banaras Hindu University, Varanasi, UP • Prof. AS Raghubanshi, Professor, Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, UP • K. Chandra Sekhar, Scientist F, G.B. Pant National Institute of Himalayan Environment & Sustainable Development, Almora, Uttarakhand • Dr Irfan Rashid, Assistant Professor, Department of Earth Sciences, University of Kashmir • Dr K V Ramesh, CSIR Fourth Paradigm Institute, NAL Belur Campus, Bangalore, India Structured Background: - Quantification of biophysical and biochemical parameters are very Abstract - crucial for monitoring the high value plants in Himalayan region, its sustainable detailing the utilization as well as the conservation of related resources. current year Objectives: - There are six objectives in the project. First one is creation of Spectral progress library and standardization for selected medicinal and threatened species. Second one is Spectral and image analysis for discrimination of selected economically important plant species followed by Model building for retrieval of Biochemical and Biophysical properties of selected species. Projection and scenario for distribution of selected species is the fourth objective followed by fifth objective of fine scaling of space-time map of the high value species in the Himalaya. The final objective is management and conservation of species based on previous objectives. Methodology and Results: -To fulfil these objectives, field sampling was conducted in End of September 2019 and End of February 2020 in Pindari Glacier and Almora, Kausani, Jageswer, Ranikhet respectively. A rigorous sampling resulted in a collection of around 215 species. The collected species were utilized for the preparation of their spectral libraries where the spectra’s in form of reflectance was prepared using hyperspectral Spectroradiometer. The First objective is over with the creation of spectral libraries of the identified species. Sentinel-2, Sentinel-5P, Moderate Resolution Imaging Spectroradiometer (MODIS), ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and Shuttle Radar Topography Mission (SRTM) along with other climatic variables were used to map the species distribution over the sampling regions. Several machine learning algorithms were also incorporated to establish the relation between physical and climatic variables to estimate the probability distribution of species. For classifying the species through collected spectra, PRISMA and other available Hyperspectral data were acquired. Several classification NMHS 2020 NMHS-Annual Progress Report (APR) Pro Forma Page 2 of 72 techniques namely Support Vector Machine (SVM) and neural networks were used to classify the species over the acquired Hyperspectral data. The identified species from Pindari region were used for the retrieval of biochemical parameters through lab-based methods as well as through Automated Radiative Transfer Models Operator (ARTMO) for retrieval of various vegetation parameters. In the region of Jammu and Kashmir, preparation of land use land cover map of the Dachigam National Park for 2019 was carried out. The Accuracy Assessment was made with 2018 LULC data. The Historical land system changes (1972-2019) was evaluated and LULC mapping of the Dachigam National Park/Dal Lake catchment was conducted using satellite data of 1980, 1990 and 2001 and LULC map for the year 2010 was drawn for Dachigam National Park and finally, Landscape fragmentation was carried out for 1980 and 2019. High-resolution weather information is generated for the study region for 2000-2016 CMIP6 climate scenarios are organized. The reliability assessment of the CMIP5 models is going on. Development of Hourly high-resolution climate for the study region is generated during 2001-2015. Validation of this data against observation needs to be carried out. For the time being, simulation work is over. Conclusion: -In terms of quantifiable deliverables, spectral library of species is done, the spectral and image analysis of 2 species Rhododendron arboretum, Acacia dealbata is over and the validation is being done with the help of ground data. The testing of the model for the retrieval of biophysical and biochemical parameters is underway for species Taxus wallichiana. After validation of CMIP6 climate scenarios, organization of climate projections will be conducted. The work is in progress for other deliverables. Recommendations: - It is recommended to make more field sampling to observe climatic impacts on the species. Also, the models generated should be applied to all the species. Project Partner Affiliations Role & Responsibilities Name Partner 1 Dr. Prashant Kumar Srivastava, Prof. To detect and identify the medicinal plants and Rajesh Kumar Mall, Prof. AS threatened plants concerning pedological and Raghubanshi climatic conditions using the handheld hyperspectral spectroradiometer; Spectral library of the economically important plant species to use with the hyperspectral satellite and airborne data; Development of knowledge-based planning of an appropriate management system to Safeguard medicinal and threatened species. Partner 2 Dr. K. Chandra Sekar Identification and Management of the economically and Medicinally important plant species to be used with the hyperspectral satellite and airborne data; Development of knowledge-based planning of an appropriate management system to Safeguard medicinal and threatened species. Partner 3 Dr Irfan Rashid Identification and Management of the economically and Medicinally important plant species to be used with the hyperspectral satellite and airborne data; Partner 4 Dr K V Ramesh Detection and identification of the future climate scenarios are carried out through the study of past climate data by simulating the NMHS 2020 NMHS-Annual Progress Report (APR) Pro Forma Page 3 of 72 climate scenario and downscaling. The validation of high-resolution climate with station observations would be conducted to identify the reliable climate models for the study area. NMHS 2020 NMHS-Annual Progress Report (APR) Pro Forma Page 4 of 72 2. Project Site Details Project Site: • Dachigam National Park, J & K • Pindari Basin, Uttarakhand • Almora and nearby areas IHR States Covered: • Jammu and Kashmir, • Uttarakhand Site Maps* (No.): Used and Attached in Annexure I. Site Photographs* (No.): Used and Attached in Annexure IV and Annexure V *Attach a separate Descriptive Annexure/ Files (.JPG, .TIFF, etc.). 3. Project Activities Chart w.r.t. Timeframe [Gantt or PERT] Qtr 1 Qtr 2 Qtr 3 Qtr 4 PROJECT DESCRIPTION OF WORK QUANTIFIABLE ACTIVITIES UNDERTAKEN (YEAR OUTPUTS 2019-2020) Field ✓ ✓ ✓ The field sampling was conducted The details of the Sampling in End of September 2019 and field sampling area End of February 2020 in Pindari are given in Glacier and Almora, Kausani, Annexure-I Jageswer, Ranikhet respectively. A rigorous sampling resulted in a collection of around 215 species for which several activities were conducted, such as preparation of spectral libraries, identification of biophysical and biochemical parameters along with their herbarium documentation. The Pindari Region of Bageshwar district, Uttarakhand consisted of areas namely, Jaikuni, Dwali and Furkiya where the samples were collected having high medicinal and economical value. The areas in Almora district, Uttarakhand consisted of areas namely, Jageswer, Ranikhet, Kausani and lower suburban Himalayan regions from Bhimtal and Nainital in Uttarakhand. Preparation of ✓ ✓ ✓ The collected species were The details of few Spectral utilized for the preparation of their of the species are Libraries of spectral libraries where the given in Annexure- the collected spectra’s in form of reflectance III and the spectral species. using FieldSpec 4 libraries of the Spectroradiometer. collected species are given in Annexure IX.
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