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Regional Workshop on development of effective tools for management of forest information for sustainable forest management - Pathum Thani, Thailand - September 2010






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    Article
    Satellite remote sensing-based forest resources assessment methods for effective management and sustainable development of forests by generation of information on forests and trees outside forest cover
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Satellite based remote sensing methods have proved to be an effective and scientifically proven method for managing and conserving forest data and resources at periodic time intervals. The forest resources monitoring methods provide useful data to forest managers for sustainable forest management at different scale and forest management units. Over the years the scientific management of forest have been a subject globally discussed incorporating the role of environmentalist, conservationist and communities associated with the forest. It has been an unhidden fact that forests have suffered tremendous pressure in developing countries on the pretext of development. It is through effective monitoring and communication of forest information and knowledge that the concerned provincial governments are forced to take remedial measures for protecting the forests. Apart from the government owned forests, termed as Recorded Forest Areas(RFA) in India, Trees outside forests(TOF) are well acknowledged as an important component of forest resources. The ToF, which basically exist as block, linear and scattered plantations on earth are captured using LISS-III sensor of Indian Remote Sensing Satellite. For the national level scale mapping, all patches of area 1hectare and above are considered for estimation. For mapping of ToF patches of size between 0.1-1hectare, high resolution data from LISSIV sensor(5.8metres resolution) is analyzed. It has been now a well-established fact that trees outside RFAs, although in small proportion, contribute significantly to forest conservation and meeting the demand of people towards minor forest produce, firewood etc. The exercise on forest change detection using a hybrid method, is effective in identification of significant forest change. The assessment of forests and ToFs using satellite data and advance image processing tools may be helpful in effective management and long term sustainability of forests in developing countries. Keywords: [Recorded Forest Area, Trees Outside Forest, National Forest Inventory, FSI, Neural Network, Machine Learning] ID: 3622277
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    Regional Advocacy and Consultation Event for Monitoring the Sustainable Development Goals (SDGs) related to Food and Agriculture. Bangkok, Thailand, 4-6 September 2017. Provisional Agenda 2017
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    The Food and Agriculture Organization of the United Nations (FAO) has played a key role in the Post 2015 Development Agenda process leading to the adoption of the 2030 Agenda for Sustainable Development. FAO has also been an active contributor to the Inter-agency and Expert Group on Sustainable Development Goal indicators (IAEG-SDG), which developed a Global Indicator Framework recently adopted by the UN Statistical Commission and ECOSOC. Monitoring the 230 indicators in this Framework, covering the 17 SDGs and their 169 Targets presents an immense challenge for member countries with regards to their current data availability, statistical capacity and resource availability.

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