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Satellite Monitoring for Forest Management
Last Updated: January 27th, 2017

The SMFM project will aim to improve global knowledge and capabilities for forest degradation assessment and monitoring dry forest landscapes by building upon and complimenting existing international programs. Second, the SMFM project will support selected countries to develop their Earth Observation (EO) capacity. It will develop and test new or improved methods to process and analyse new satellite EO datasets, with assessments of EO processing methods completed through practical implementation in selected Partner Countries.

The Project Development Objective (PDO) is “Improved methods for satellite monitoring of tropical dry forest landscapes and forest degradation assessment are available to countries, with technical knowledge and capacity developed for global application in sustainable forest management, including REDD+.”

  • Tropical dry forests are subject to highest rates of deforestation and degradation around the world.
  • Forest degradation is a challenge across dry tropical forests and impacts sustainability of goods and services that these forests provide.
  • Most countries still do not have adequate monitoring capabilities, particularly the use of satellite EO technology.
  • Perceptions of forest degradation vary depending on the cause, the particular goods or services of interest, and the temporal and spatial scales considered.
  • Full understanding of forest degradation processes and of forest condition is lacking in most tropical countries, due to the technical challenges related to the assessment of different types of forest degradation.
  • Monitoring of forest degradation requires that tools are applicable for multiple types of tropical and sub-tropical forests, and that forest degradation can be detected by direct or indirect proxy measures.

Our solution: SMFM project will

  • Develop satellite Earth Observation (EO) methods and global knowledge on monitoring tropical dry forest ecosystems and forest degradation assessment.
  • New earth observation methods developed for monitoring tropical dry forest landscapes and forest degradation assessment.
  • Dry forest and forest degradation map products for sub-national areas, suitable for forest monitoring and management planning purposes.
  • Improve national technical capacity for monitoring of tropical dry forest landscapes and forest degradation assessment through training in new satellite EO methods and data.
  • Improve global knowledge of new satellite EO methods and data for monitoring tropical dry forests and forest degradation assessment. Recent advances in satellite EO data provision provide unprecedented views of the Earth and present an opportunity to tackle existing limitations in forest monitoring capabilities:
    1. European Space Agency’s Sentinel missions, United States’ Landsat -8 mission provide open access – dramatic increase in available data
    2. Improved EO methods and tools are required to take advantage of the new Sentinel mission capabilities

Image credit to NASA

Provision of Baseline Data and Cadastral Maps for Priority Provinces in Indonesia: Aceh Province
Last Updated: December 21st, 2014

UNDP aimed to consolidate information of forest land use so that it can be utilised by all stakeholders in a combined effort to implement REDD+ projects in Indonesia. Through the Government activities and support of NGOs, CSOs, academics and national and international institutions involved in community mapping and related field work, important information has been gathered regarding the communities and businesses directly involved in land use during the 80s, 90s, and recently. Implementation of REDD+ is reliant on information about Indonesia’s current landscape including demographic data on the communities who use the land and cadastral maps regarding the land’s administrative and/or traditional boundaries. This information will enable REDD+ to facilitate communities in designing sustainable methods whereby they can share the benefits of forest conservation and enhancement of carbon stocks through afforestation and reforestation.

The purpose of this assignment was to “coordinate the collection and assessment of data relevant to the requirements for REDD+ implementation”. The objectives of this assignment were as follows:

  1. Design and implement processes for Data collection, classification and analysis;
  2. Identify and analyse inconsistencies/incompleteness of Data and initiate processes to mitigate inconsistencies / incompleteness;
  3. Undertake a multi-Stakeholder process of review and endorsement of the Data;
  4. Share the Data to REDD+ policy makers, Stakeholders and interest groups;
  5. Identify and assess gaps in current institutional and individual capacities required to ensure institutionalisation of integrated Data;
  6. Design a process for establishing and/or strengthening the required institutional and individual capacities including the training programmes in the Province and relevant Districts;
  7. Conduct structured training and related capacity development activities in Data management for key Stakeholders;
  8. Support and build upon IMS/ICT systems for managing and maintaining Data in the Province;
  9. Ensure Data ownership within communities, local government and the provincial government of the Province; and
  10. Provision of information on forest cover and peat, deforestation, and other required data for calculation of reference emission level (REL).

LTS worked closely with Daemeter on this assignment.

Service areas:
climate change