Prepare yourself to be HCS Registered Practitioner!
This training is focused on the project management and remote sensing and GIS components of the High Carbon Stock Approach (HCSA), now conducted as integrated HCV-HCSA assessments for all new assessments. This will be both a theoretical and practical training course; formal presentations will introduce material and methods, while participants will be assigned to a group to carry out practical exercises and complete the case-study tasks. By fully attending the course and passing the evaluation, participants will be qualified as HCSA Registered Practitioners. The Registered Practitioner certification is one component of being able to lead or be part of an integrated HCV-HCSA team.
Objectives • Train HCV licensed assessors and GIS experts on the project management, remote sensing and GIS components of the HCSA as integrated HCV-HCSA assessments. • Develop the skills to understand and apply the HCSA components of a simulated HCV-HCSA assessment.
Preparation materials for participants Before the course starts, it is expected that participants are familiar with the relevant references and material. You will find a video presentation giving an introduction to the HCS Approach here: High Carbon Stock Approach video . We strongly advise participants to read in advance the following documents: • HCV-HCSA Assessment Manual • HCSA Toolkit Version 2 Participants are to download the HCSA Toolkit Version 2 on their electronic devices (laptop, iPad) prior to the training.
Participant profiles: Participants should already be familiar with the HCV, HCSA and Free Prior Informed Consent (FPIC) approaches. Participants must have relevant experience in biodiversity, ecology, community livelihoods, anthropology, forestry, GIS and conservation planning, natural resource auditing and management, social and environmental impact assessments, among other subjects. GIS and remote sensing experts should have sufficient expertise to carry out satellite-based land-cover classifications and follow the data requirements presented in Module 4 and 5 of the HCSA Toolkit.
