EO4SD forest management

Forest Area and Change

The Forest Area and Change products form the basis for determining gross deforestation rates and for the detection of forest regrowth or replanting. They are used as the benchmark for deforestation/disturbance detection by early warning systems.

There are two related capabilities:

  • The Forest Area Status shows the extent of the forest at a given point in time. This product takes into account country-specific forest definitions, such as the minimum area of a forest patch and minimum canopy cover density. All forest types are consolidated into a single ‘forest’ category; other land cover types are aggregated into a ‘non-forest’ category. The Forest Area Status product is derived from high resolution (HR) satellite data.
  • The corresponding Forest Change product is derived by combining the forest masks at two points in time into a forest change map, showing areas of deforestation or regeneration/afforestation.

The products have many applications in forest management, forest restoration, REDD+ and land-use planning as it offers an accurate calculation of the spatial extent and location of forested areas and changes within those areas.

The Forest Area and Change product can also be used as an input for:

  • Assessment of Activity Data for REDD+
  • Analysis of Degradation and Deforestation
  • Sustainable Forest Management (SFM)
  • Forest Landscape Restoration (FLR)
  • Identification of High Carbon Stock (HCS) forests
  • Forest management/ planning
  • Input variable to spatially explicit modelling of forest biomass and change

The animated image example below shows an example of Forest Area change mapping at 20m spatial resolution. The analyses of Forest Cover in 2016 and 2018 revealed small scale deforestation events along streets and in the surrounding of existing agriculture. The study was conducted in Cameroon within the EOMonDis project.

PRODUCT SPECIFICATIONS

CONTENT

  • Detailed mapping of forested areas by incorporating a national- or user-defined forest definition. The product is based on a forest mask, a forest canopy cover density map and additional data to separate ‘Forest’ land use from other land use classes.
  • Changes can be mapped between two or more points in time, showing increase and decrease of tree canopy density in percent in a landscape using discrete classes ranging from 1-100%.

GEOGRAPHICAL COVERAGE

Regional, National, Sub-national and Local

TEMPORAL COVERAGE & FREQUENCY

Historical data and/or specific dates; Continuous update (e.g. every 12 months, 5 years) is possible depending on availability of satellite data

EO DATA AND SPATIAL RESOLUTION

High Resolution (HR) satellite data, (e.g. Sentinel-1 and Sentinel-2) with 10 m resolution from 2016 onwards, historic Landsat Missions data with 30 m resolution from around 1990.

ACCURACY

Status products: > 90%
Change products: > 80% Positional accuracy: < 1 pixel of source imagery

PRODUCT DELIVERY

AVAILABLE FORMATS

  • Geodata in GeoTIFF, ASCIL or similar, accompanied with metadata (INSPIRE or ISO)
  • Cartographic products in .pdf, .png or similar

DATA ACCESS OPTIONS

  • USB, hard drive
  • Download from dedicated password-protected FTP server or cloud platform
  • Viewed online through password-protected web portal (Open Geospatial Consortium (OGC) compliant)

SUPPORT AVAILABLE

  • Quality Management Systems cover non-conformance issues, timely corrective actions and supporting services relating to reliability, flexibility and timely delivery of services. All quality relevant information and quality checks are documented and cover:
    • Compliance of output with user requirements
    • Completeness
    • Thematic accuracy
    • Thematic completeness
    • Positional accuracy and product utility
  • Tailored training can be provided on product use and integration for further geospatial analysis