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GROUP: annual vegetation (av)
DEFINITION: annual and herbaceous regrowth (uncultivated and unmanaged) vegetation cover (Tree cover <<10%).  Not hydromorphic (see GROUP = hydromorphic vegetation). Features must be >50% outside Disturbed area. Not managed for production or ornamentals, or grazed by domestic animals more than 25% of growing season, or impact of grazing USE is low enough that vegetation cover is similar to ungrazed areas under the same environmental conditions.  Minimum feature scale is width >30 m AND area >1000 m2USE = Fallow, unless annually harvested for biomass across larger areas, then USE = Forestry.

Table of Contents


  1. Object
    1. herbaceous regrowth vegetation = non-woody angiosperm vegetation.
    2. ferns = mostly herbaceous fern (pteridophyte) vegetation cover, <2m height.
  2. Vegetation
    1. >75% grass = >75% cover of unmanaged grass.  Example: Poa sp.
    2. >75% broadleaf = >75% cover of unmanaged broadleaf annual or herbaceous vegetation.
    3. mixed grass & broadleaf cover = mix of grass and broadleaf vegetation.


  1. herbaceous regrowth vegetation
    1. >75% grass = av01
    2. >75% broadleaf = av02
    3. mixed grass = av03
  2. ferns = av04

Dominance Rules

  1. IF unclear whether 75% broadleaf or 75% grass choose mixed grass & broadleaf cover.
  2. IF unclear whether herbaceous regrowth vegetation or ferns, choose non- herbaceous regrowth vegetation.


Leaf Type: mixed
Leaf Time: annual
Tree Cover: <<10%
Vegetation Cover: >90%
Height: <3m
IGBP_DIS: Cropland/Natural Vegetation Mosaics;
L1 Minimum: >30m
L2 Minimum: >30m

Compatible Classes



Anthropogenic Mounded Excavated Terraced Slope Floodplain Foot Slope Bench Plateau Summit Sloping Steep Slope


Forestry Fallow Pristine




Mapped Ecotopes

FPFAav01 SLFAav01 SSFAav01 SSFAav02  

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.