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Field trip to Ba Vi National Park and GPS exercise (IFEE) 05/10/2017

Sunday - 08/10/2017 05:17
On October 5th, 2017: The team went to the Ba Vi National Park during the morning and had a field trip on Luot mountain - Vietnam National University of Forestry, practiced with GPS device to identify the coordination of given points and the boundary of the study area in the afternoon.

On the third day of the working session “Spatial analysis for integrated land-use planning & mainstreaming multiple benefits in sub-national REDD+ planning”, the program team had a field trip to Ba Vi national park. In here, the staff of national park introduced about ecosystems and activities. The team went to some special sites of National Park.

Some photos of the field trip:

Sightseeing in plantation forest – Landmark 400, Ba Vi NP

Sightseeing in natural forest – Landmark 400, Ba Vi NP

 

Commemorative photo of working session

 In the afternoon, the team came back to VNUF campus then went to Luot mountain.          IFEE advisors guided members to use GPS for recording locations and boundaries. Each group was given a task to find the hidden point with given coordination then go around to record boundary. Finally, the team came back to IFEE office to work with data from GPS on computers.

Some photos on Luot Moutain:

Finding “treasure” by GPS 

Identifying boundary with GPS

Filling information on papers

Feeling “taste of forest”

Author: VOVNews/VNA

Source: IFEE

 Key: IFEE, VNUF

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Implementing projects in 2017
List of implementing projects in 2017:
 
1. Supporting Di Linh Forestry and Bao Lam Forestry Company Limited (SFFC) to meet international standards for SFM in accordance with the Forest Stewardship Council (FSC) funded by FAOVN

2. Review, adjust the Plan for forest protection, restoration and sustainable development of the Central Highlands up to 2025 with orientation to 2030 funded by VNFOREST

3. Co-operation between UNEP and IFEE in undertaking the work contributing to the development of a knowledge package on the use of spatial analysis supporting REDD+ planning at the sub-national level
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