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SourCeBook oN remoTe SeNSiNg aND BioDiverSiTy iNDiCaTorS

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Chapter 4. Trends in Selected Biomes, Habitats, and Ecosystems: Forests<br />

Chapter 4. Trends in Selected Biomes, Habitats, and ecosystems: Forests<br />

Authors: James Strittholt 1 , Marc Steininger<br />

Contributors: Colby Loucks 3 , Ben White 4<br />

Reviewers: Mette Løyche Wilkie 5 , Manuel Guariguata 6<br />

1 Conservation Biology Institute, 2 Conservation International, 3 World Wildlife Fund (WWF-US), 4 Global Land Cover Facility,<br />

University of Maryland, 5 Food and Agriculture Organization of the United Nations, 6 Center for International Forestry Research<br />

Remote sensing based indicators for forests:<br />

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Extent of component ecosystems<br />

Forest change<br />

Rate of deforestation/reforestation<br />

Forest intactness<br />

Area and number of large forest blocks<br />

Forest fragmentation<br />

Carbon storage<br />

Area and location of old-growth forests<br />

Area and location of plantations<br />

Forest degradation<br />

Area and location of sustainable forestry<br />

Alien species<br />

Fire occurrence<br />

The physical characteristics of forest ecosystems reflect sunlight in the visible, near-infrared, and middleinfrared<br />

regions of the light spectrum in ways that are easily distinguished from other types of vegetation<br />

cover. Thus, remote sensing has become an important tool for evaluating forest ecosystems at multiple<br />

spatial and temporal scales to examine and monitor forest composition, structure, and function (Kerr<br />

and Ostrovsky 003).<br />

4. 1 Delineating Cover and estimating Change in extent<br />

Leaves are full of pigments that absorb visible light. Therefore, because of their dense leaf cover, forested<br />

areas tend to reflect less light from the visible region of the spectrum (and thus appear darker than)<br />

other vegetation types. In contrast, leaves strongly reflect near-infrared light — which is not visible to our<br />

eyes — and thus they appear brighter when near-infrared data are mapped. Water in forest leaves absorbs<br />

near-infrared light, and thus forests tend to appear dark when middle-infrared images are displayed.<br />

The middle-infrared is also best able to reveal “canopy shading.” This is caused by the canopy geometry<br />

(i.e., the uneven tree and branch height) of forests. In general, taller forests with more uneven canopies,<br />

such as old-growth forests, appear darker in the middle-infrared than shorter forests with more even<br />

canopies, such as young secondary regrowth, because of a combination of canopy shading and the water<br />

absorption of leaves. This darkening trend is also seen in the near-infrared, although less so. Inundated<br />

forests usually appear even darker still, because of even more light absorbed by standing water or wet<br />

soils beneath the canopy. The brightness in all of these spectral regions also depends on the colour of<br />

the background underneath the canopy, which is a mix of soil and vegetative litter. The influence of the<br />

background colour is more obvious when leaf cover is lower, such as in areas of more open vegetation<br />

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