Advancing Sustainable Forest Management: Insights from Geospatial Technology
Date and Time
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Registration
- Date: 19 Apr 2024
- Time: 04:30 PM to 05:30 PM
- All times are (UTC+05:30) Chennai
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- Starts 13 April 2024 05:00 PM
- Ends 19 April 2024 04:30 PM
- All times are (UTC+05:30) Chennai
- No Admission Charge
Speakers
Sudhakar Reddy of NRSC
Advancing Sustainable Forest Management: Insights from Geospatial Technology
Biography:
Speaker's Brief Bio: Dr. Sudhakar Reddy Chintala is Scientist-SG and Head of Forest Biodiversity and Ecology Division, National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad, Telangana. He is a highly cited researcher. Stanford University and Elsevier consistently ranked him in the World's Top 2% of Scientists for the last four years in Biology and Geomatics Engineering. He received his M.Sc. in Botany from Osmania University and Ph.D. from Kakatiya University. Dr. Reddy is known for his significant contributions to remote sensing and GIS applications in forestry, biodiversity, and ecology. He has authored 305 research papers that have been published in peer-reviewed journals. Dr. Reddy has supervised nine Ph.D. theses and 51 Master's dissertations. He is a Fellow of the Telangana Academy of Sciences, Indian Botanical Society, Indian Association for Angiosperm Taxonomy, and Association for Plant Taxonomy. He is an Associate Editor of the Journal of the Indian Society of Remote Sensing and Biodiversity and Conservation.
Major Credentials:
1. National Geomatics Award - 2023 from Indian Society of Geomatics,
2. Prof. Y.S. Murty Memorial Gold Medal Award - 2022 from the Indian Botanical Society,
3. Hari Om Ashram Prerit Dr. Vikram Sarabhai Research Award - 2017 from Physical Research Laboratory, Government of India,
4. Prof. M.B. Raizada Medal Award - 2016 from the Association for Plant Taxonomy,
5. Prof. P.R. Pisharoty Memorial Award - 2014 from the Indian Society of Remote Sensing,
6. Dr. S.K. Jain Medal Award - 2010 from the Association for Plant Taxonomy,
7. I.S.R.O. Young Scientist Merit Award - 2008 from Department of Space, Govt. of India.
Email:
Address:NRSC, , Hyderabad, India
Agenda
Sustainable forest management aims to maintain and enhance the economic, social, and environmental values of all types of forests to benefit present and future generations. Earth Observations through remote sensing is the only technology that provides continuous measures across space at relatively high spatial and temporal resolutions. Remote sensing plays a crucial role in sustainable forest management by monitoring vegetation cover, detecting deforestation, and supporting reforestation efforts globally. Near real-time satellite imagery has a great potential for monitoring and implementing conservation policies. This work presents information on the current status of remote sensing of Earth Observations for forestry research and conservation applications. The multispectral sensors have been providing observations for vegetation analysis since the early 1970s. Tree species classification and regrouping into forest stands may be possible with high spatial resolution and hyperspectral satellites. There is a need to define and map plant communities in terms of vegetation characteristics that represent fine-scale variations in composition, stand structure, and leaf phenology.
Geospatial techniques and machine learning play a significant role in forest resource management by providing valuable tools for monitoring, mapping, and modeling forest resources. These technologies enable the assessment of forest health, estimation of biomass and carbon stock, land use and forest cover mapping, dynamic vegetation modeling, habitat suitability analysis, biodiversity assessment, forest type, forest intactness, forest fragmentation, biological richness, fire hotspots, and level of plant invasions. Machine learning techniques are used to automate image analysis, improve data accuracy, and enhance feature extraction. Despite the advancements in remote sensing technology, challenges persist in its integration into operational forest inventory and monitoring programs. Detailed analysis of essential biodiversity variables concerning vegetation classification at species and community level, vegetation community assemblages and structure, mapping spatial variation of species-level traits, phenology, stand height, density, biomass, leaf area index, plant species patterns, species distribution modeling distribution for threatened species are gap areas. The move towards web-based GIS platforms and cloud computing has made spatial data more accessible. Rapid developments in the fields of geospatial technology can provide the datasets necessary for research and conservation. These technologies offer data collection, analysis, and decision-making tools in sustainable forest management.
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