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Glossary

Land cover classification(see Section 2.2)

Brief definition of the land cover classes used in the pan-tropical survey of forest resources based on high resolution satellite data

Homogeneous
Land Cover Classes
average heightcanopy coverage description
Closed Forest> 5 m> 40 %Continuous tree formation of natural origin
Open Forest> 5 m10–40 %Continuous tree formation of natural origin
Shrubs1–5 m> 10 %Low woody vegetation of natural origin
Other Land Cover < 10 %Land with woody vegetation below 10 %
Plantations> 1 m(dense)(synonymous of Man-made Woody Vegetation) Forestry or agricultural plantation
Water  Sea, lakes, reservoirs, rivers
Composite
Land Cover Classes
Fragmented Forest(forest) > 5 m(forest) > 10 %Mosaic of forest and non-forest with forest fraction between 10 and 70% of total area
(estimated average 33%)
Long FallowvariablevariableMosaic of mature forest, secondary forest, various stages of natural regrowth and cultivated areas with cultivated areas covering between 5 and 30 % of total area
Short FallowvariablevariableMosaic of young secondary forest, various stages of natural regrowth and cultivated areas with cultivated areas covering between 30 and 50 % of total area

Other specifications:

Definitions of forest(see Section 2.2.1)

Three different definitions of forest have been adopted in the analysis and presentation of survey results:

F1 = closed forest
F2 = closed + open forest + 2/3 fragmented forest
F3 = closed + open forest + fragmented forest + long fallow

F1     represents forest in the strictest sense, mostly dense, not fragmented nor (heavily) degraded.

F2     is a definition aimed at matching the concept of forest used in FORIS (Forest Resources Information System) by FAO in its periodic assessments based on existing information. According to the FORIS definition the class long fallow is excluded; the reduction factor applied to fragmented forest is due to two factors: (i) forest blocks smaller than 100 hectares are not included, according to FORIS definition, but, in practice, (ii) composite forest/non-forest classes have been considered when more detailed classes were not available, and a certain forest fraction has been estimated and included in FORIS statistics, which is fairly common.

F3     represents forest in its broadest sense, including all types and phases of degradation (but still with the connotation of forest). This definition of forest, that allows for the most detailed differentiation among changes, has been used in the analysis of change processes presented in the Section 4, “Results and Findings”, unless otherwise specified.

Definitions adopted in the estimation of deforestation and degradation rates(see Section 2.2.1)

Other Technical Terms

Biomass(see Section 2.8)

The data sources used for the present study define biomass as: the total above ground biomass density of trees of 10 cm diameter (breast height) or larger, including main stems, branches, bark, twigs, leaves and fruits. In the present study an attempt has been made to estimate, by inference, the biomass of woody vegetation at less than 10 cm diameter, such as that of shrubs and young secondary regrowth.

Co-registration

The spatial, or geometric co-registration of two satellite images implies that both images are geometrically corrected according to a common projection or that one image is corrected according to the geometric features of he other one which is used as reference; in all cases the co-registration will result in spatial matching and will allow perfect superposition of the two images. The radiometric co-registration of two images consists of common radiometric correction of atmospheric effects and uniform enhancement; images radiometrically co-registered will have similar tonal and chromatic characteristics.

Interdependent interpretation(see Section 2.3)

“Interdependent interpretation” indicates the visual interpretation of two satellite images, acquired at two different dates (in this study some ten years apart), within a single interpretation process. This approach secures the highest level of thematic and spatial consistency between historical and recent image classification. This procedure is the most important element of the methodology since it reduces the error associated to the estimate of changes and make the production of change matrices possible.

Multi-date or multitemporal

Multi-date, or multitemporal, satellite data indicates two or more images acquired at different dates and covering the same portion of Earth's surface.


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