Posted by: on

REDD Bangladesh trainings

As part of Bangladesh’s REDD+ activities, UN-REDD Programme and the Bangladesh Forest Department (BFD) ran a series of trainings supporting the establishment of Bangladesh’s national forest monitoring system. At the three workshops, held in November 2015, participants were trained in the use of different software to improve data collection and analysis. These sessions were designed to strengthen national capacities and data management.

The first training on the statistical software “R” was led by FAO with support from the UN-REDD Programme in association with the BFD. Staff from the Bangladesh Bureau of Statistics, the Bangladesh Forest Research Institute, as well as professors from Khulna University, University of Chittagong and Shahjalal University of Science & Technology also participated.

“R” is a free and open source programming language and environment for statistical computing and graphics. It can increase the efficiency of data processing, analysis and statistical modelling related to forest biomass assessment. The “R” software has the potential to increase efficiency in data analysis and statistical modelling related to forest biomass assessment.

Following this workshop, FAO Bangladesh led a five-day training programme on Open Foris Collect and Collect Mobile. The nine participants from the BFD and related academic disciplines learned how to design field forms incorporating logic and error checks supported by the software. Following field work the participants discussed the efficiency of mobile data collection applications in relation to traditional paper based surveys.

Eighteen participants from various organizations including the BFD, Bangladesh University of Engineering and Technology, Survey of Bangladesh and the Soil Resource Development Institute participated in a training programme on the use of Land Cover Classification System 3 (LCCS 3) software. The software supports the preparation of the national land cover classification system for monitoring land cover and forestry resources. LCCS 3 is a new approach allowing semantic interoperability between datasets, ensuring completeness of data, efficient documentation and transparency.

During the training, one day was dedicated to field data collection for the development of the classification system, in combination with available satellite images. For the first time, Open Foris Collect software was used with Android for collecting information for the Land Cover Classification System development using LCCS 3.

Over the coming months, the BFD, under the Ministry of Environment and Forests, will continue to use the LCCS 3 and “R” software, and to develop the Open Foris system with technical support provided by FAO. These software tools will be crucial in improving the collection, quality and analysis of forestry data in Bangladesh.The trainings attracted participants with a range of technical knowledge. They were not only useful in enhancing the expertise of the participants but in encouraging dialogue and interaction between different individuals to improve forest monitoring in Bangladesh.

Photo: Forest department staff field test Open 
Foris Collect software at sample plots of the 
2005 national forest inventory.

 

Tags:
Last modified by: on