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ArticleSatellite 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
2022Also available in:
No results found.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 -
DocumentEvaluation of Capacity Building Support to SADC Remote Sensing Unit for Early Warning for Food Security and Advancement of Agricultural and Rangeland Monitoring GCP/RAF/351/EC
Final Report of the Evaluation Mission
2003Also available in:
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Book (stand-alone)Northern and eastern Afghanistan monitoring of rice cultivation using satellite remote sensing and GIS technologies - Final Report 2017
Also available in:
No results found.Adoption of new strategies for agriculture monitoring, rural land use planning and land management is urgently required to reduce hunger and poverty among rural population of Afghanistan and to assure sustainable food and feed production for future generations. The availability of reliable information on natural resources and agriculture for its monitoring and analysis is indispensable to development and implementation of such strategies. The activities proposed in this document have as overall objective in strengthening/improvement of the national capacity on rice monitoring and analysis by use of geospatial and innovative technology based on Proba-V, Aqua/Terra, Landsat-8, Sentinel-1, Sentinel-2, SPOT-5/6/7 and Pleiades imagery for sustainable development for food security in the country.
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