Pilot Project National Forest Inventory (NFI) in Suriname. Cayenne, April 2014

Transcription

1 Pilot Project National Forest Inventory (NFI) in Suriname Cayenne, April 2014

2 Timeline 2009: COP15; Meetings between Suriname and Austria. 2010: Technical meetings between SBB and Austria; Austrian fact finding mission to Suriname; Introduction and technical NFI workshop in Suriname. 2012: Introduction pilot NFI; MOU signing; 1 st collection aerial images; Workshop NFI; 2 nd collection aerial images pilot NFI; Aerial image interpretation in Austria; Preparations pilot NFI : Training of field teams; Collecting field data for the 30 SU s (finished in April 2014); Data processing, analysis, reporting and evaluation of pilot NFI; Planning and implementation of the NFI. SU Sampling Unit

3 Approach to the NFI Situation in Suriname: Remoteness of most of the forests (especially south of Suriname); Difficult access and high costs of field sampling; Limited number of personnel; Little is known about the variability of forest stocking conditions across the country s forest types.

4 Approach to the NFI Approach Multisource Sampling Design: Aerial and Terrestrial Inventory. Systematic sampling design (grid) of 20x20km covering the entire country; Every grid intersection is a Sampling Unit (SU); Pilot NFI: 6 flight lines (North South); Flight lines overlay the GRID lines; Aerial images collected with ADAM C ; Pilot NFI: Field data collection in 30 SU s.

5 Collection of aerial images Period: September 2012 Amount: ± ortho images (9TB data) ADAM C : Special camera georeferenced aerial images Accuracy ~ 15 cm on elevation of 1000m Mounted on any cessna No ground control points needed for georeference Aerial images can be processed to: 4 band NIR/RGB ortho-photo s Ortho-photo mosaics 3D landcover models and Digital Surface Models (RSG/ 3D GIS software)

6 Cloudcover. Problems during aerial images collection

7 750m 750m Aerial image interpretation Flight elevation => ± 750m; Interpretation is done in Aerial Sampling Units (SUa) of 750x750m; SUa is fully covered by aerial images. 750m 750m

8 Aerial image interpretation Sources of information: CBL (topographic) maps; Reconnaissance soil map of Northern Suriname (DBK, 1977); Ecosystems of the coastal plain (P.A. Teunissen, 1978); Forest cover map of Suriname (Ministry RGB, 2010); SRTM data; Inventory data (if available); Field experience.

9 Aerial image interpretation

10 Aerial image interpretation Mutual criteria for image interpretation (related to determination of forest definition): Minimum Mapping Unit (MMU) of 1 ha; Minimum crown coverage to classify an area as forest is 30%; Minimum vegetation height to classify an area as forest 5m. Interpretation is being done: By using the 2D ortho-photo s; In some cases by using 3D ortho-photo s (useful to see elevation differences between classes of forest and non-forest); Or DSM s (can be used to help determine the delineation between the several forest types).

11 Aerial image interpretation Result => SUa is classified according to forest/ non-forest, forest type and stocking class.

12 Collection of Field data Field data is collected during ground truthing in Field Sampling Units (SUf); Field data will be used to try and establish a relationship between aerial photo parameters and timber stocks, AGB etc. 18 Design of the SUf: 8 Principal Sample Plots (PSP s) =>100mx20m = 0,2ha p/psp Each PSP is divided in 20 Main Assessment Plots (MAP s) => 10mx10m Within 2 standard MAP s per PSP are 2 subplots => 5mx5m SUa SUf PSP

13 Field parameters collected

14 Lessons learnt during pilot NFI project Finding the exact location of the center point of the SUf; The time lapse between the moment of aerial image acquisition and field data collection sometimes resulted in a changed crown cover due to natural causes (windbreak) or other activities (new roads, forestry activities, mining, etc.) in the area; Strengthen community consultation and awareness; Physical establishment of outer border of the plots is necessary; Tree height estimations- estimation of 1 or 2 tree heights; More standardization for tree species determination is needed.

15 Determination of exact location in the field GPS Maps Ortho photos

16 Next steps Finalization and evaluation of the Pilot project (data processing, analysis and reporting) Preparations towards the complete NFI: Formulate project proposal (Country support within ONF REDD+ project) Fundraising activities Evaluation of methodology Stratification Plot design Use of multisource data Necessary preparations before complete NFI Standardization of tree species recognition; Forest type classification system (with interpretation key for RS and field) Allometric equations Awareness and communication program especially for forest based communities Evaluation of registered field parameters after consultation with stakeholders (towards a multipurpose NFI) Implementation of the NFI

17 Ideas for regional collaboration Establishment and/ or evaluation of allometric equations: Creation of a regional database Exchange of methods implemented in the various countries (incl. capacity building component) Joint publications or scientific research Exchange on tree species determination Photo database Protocol for collection of plant material Field guide and protocol for tree species determination Exchange between the approaches within the region Regional platform for botanists and tree spotters

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