Nepal

Deforestation and Forest Degradation Mapping and Monitoring Using Multi-Sale Geo-spatial Methods

This is event is available for participation on an ongoing basis
Undefined

The overall objective of the course is to impart advanced Remote Sensing (RS) knowledge and techniques to monitor forest cover and associated biomass. The participants will learn about the concepts of remote sensing for forest monitoring and techniques for biomass estimation using different biomass estimation models. Participants can use this knowledge to develop REDD projects that rely on RS technology for MRV processes.

Latitude: 

28

Longitude: 

85

Training Target Audience: 

The participants of the training course will be from ICIMOD regional member countries. This technical training is targeted to professionals in the field of forest carbon stock estimation. The participants should have knowledge of remote sensing and GIS as well as forestry. To assure gender equity, female participation will be highly encouraged.

Une certification est-elle délivrée?: 

0

Plus d'informations: 

International Centre for Integrated Mountain Development Khumaltar, Lalitpur G.P.O. Box 3226, Kathmandu, Nepal Tel: ( 977 ) 1 5003222 Fax: (977) 1 5003299, 5003277 Email: info [at] icimod.org

Date: 

04/08/2014 to 08/08/2014

Lieu: 

International Centre for Integrated Mountain Development Khumaltar, Khumaltar, Patan 44700

Ville d’Accueil: 

Kathmandu

Organisateurs de l’événement: 

ICIMOD

Langue de l’événement: 

1

International Centre for Integrated Mountain Development (ICIMOD)

The International Centre for Integrated Mountain Development (ICIMOD) is a regional intergovernmental learning and knowledge sharing centre serving the eight regional member countries of the Hindu Kush Himalayas – Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal, and Pakistan – and based in Kathmandu, Nepal. Globalization and climate change have an increasing influence on the stability of fragile mountain ecosystems and the livelihoods of mountain people.

Undefined

Guide Type: 

Pays/Région: 

Free tagging: 

latitude: 

28

longitude: 

85
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