Anthropogenic Ecotope Mapping (AEM)
Ecotope Feature Mapping
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Ecotope features are mapped by a multi-stage scale-explicit, rule-based, direct interpretation of land use and vegetation features in georeferenced high resolution remotely sensed imagery by a trained mapper, combined with direct verification of features in the field (groundtruthing) by the mapper in collaboration with local land managers who assist wherever features are confusing or present only in the past.
Standard Feature Mapping Strategy
Ecotope features must be mapped before they are classified. Feature mapping proceeds in five distinct stages that follow the ease of detecting and mapping features in high resolution imagery. These five stages are followed, in sequence, to map features across sample cells, as part of the feature mapping and classification process.
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1. Linear features
| Features with length ≥4 × width,
with crisp edges, such as roads, paths, ditches, canals, streams, and some
managed hedgerows and regrowth field borders |
2. Hard areal features
| Features with crisp edges and
relatively homogenous interiors; examples are constructed, barren, and water
surfaces and rice paddies. |
3. Soft areal features
| Features with fuzzy edges and variable cores, such as
vegetation cover in crop plots and patches of trees. Prior mapping of linear
and hard features "cuts out" and leaves behind the soft features. As a result,
some small soft features are mapped automatically by being enclosed within
linear and hard features, including some too small to map as separate soft
features. |
4. Soft features with clear edges
| Soft features with relatively crisp edges
along land management boundaries, vegetation planting patterns, burning and
other causes. |
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| Soft features with fuzzy edges and
relatively heterogeneous cores, usually caused by gradual variation in
vegetation cover. These features are the most difficult to map consistently by
image interpretation and groundtruthing. |
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provide more detailed guidance where needed to ensure
consistent mapping under challenging conditions.
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Citation for AEM: Ellis E. C.,
H. Wang, H. Xiao, K. Peng, X. P. Liu, S. C. Li, H. Ouyang, X. Cheng, and L. Z. Yang.
2006. Measuring long-term ecological changes in densely populated landscapes using
current and historical high resolution imagery.
Remote Sensing of Environment 100(4):457-473.