Land cover explained

Land cover is the physical material at the land surface of Earth. Land covers include flora, concrete, built structures, bare ground, and temporary water. Earth cover is the expression used by ecologist Frederick Edward Clements that has its closest modern equivalent being vegetation.[1] The expression continues to be used by the United States Bureau of Land Management.[2]

There are two primary methods for capturing information on land cover: field survey, and analysis of remotely sensed imagery.[3] Land change models can be built from these types of data to assess changes in land cover over time.

One of the major land cover issues (as with all natural resource inventories) is that every survey defines similarly named categories in different ways. For instance, there are many definitions of "forest"—sometimes within the same organisation—that may or may not incorporate a number of different forest features (e.g., stand height, canopy cover, strip width, inclusion of grasses, and rates of growth for timber production).[4] Areas without trees may be classified as forest cover "if the intention is to re-plant" (UK and Ireland), while areas with many trees may not be labelled as forest "if the trees are not growing fast enough" (Norway and Finland).

Distinction from "land use"

"Land cover" is distinct from "land use", despite the two terms often being used interchangeably. Land use is a description of how people utilize the land and of socio-economic activity. Urban and agricultural land uses are two of the most commonly known land use classes. At any one point or place, there may be multiple and alternate land uses, the specification of which may have a political dimension. The origins of the "land cover/land use" couplet and the implications of their confusion are discussed in Fisher et al. (2005).[5]

Types

Following table is Land Cover statistics by Food and Agriculture Organization (FAO) with 14 classes.
Land Cover[6] [7] (million ha = 10 000 km2)!FAO code!type[8] !1992!2001!2015!share!change fm 92!note
[6970]Artificial surfaces (including urban and associated areas)26.0434.3355.400.37%29.35
[6971]Herbaceous crops1,716.221,749.581,712.1511.50%-4.06Arable land
[6972]Woody crops162.86181.32199.901.34%37.04Arable land
[6973]Multiple or layered cropsArable land
[6974]Tree-covered areas4,434.924,393.704,335.0029.11%-99.93large decrease
[6975]Mangroves18.0618.3918.740.13%0.67
[6976]Shrub-covered areas1,685.001,669.651,627.3410.93%-57.66large decrease
[6977]Shrubs and/or herbaceous vegetation, aquatic or regularly flooded202.61194.77185.391.24%-17.23
[6978]Sparsely natural vegetated areas891.78878.69868.075.83%-23.71
[6979]Terrestrial barren land2,001.252,000.871,884.0012.65%-117.25large decrease
[6980]Permanent snow and glaciers78.5984.3284.290.57%5.70
[6981]Inland water bodies432.60435.00444.572.98%11.97
[6982]Coastal water bodies and intertidal areas
[6983]Grassland1,793.651,806.501,801.1412.09%7.50
Total Land Mass14,893.91100%

Mapping

See main article: Land cover mapping. Land cover change detection using remote sensing and geospatial data provides baseline information for assessing the climate change impacts on habitats and biodiversity, as well as natural resources, in the target areas. Land cover change detection and mapping is a key component of interdisciplinary land change science, which uses it to determine the consequences of land change on climate.

Application of land cover mapping

See also

Further reading

External links

Notes and References

  1. Makers of American Botany, Harry Baker Humphrey, Ronald Press Company, Library of Congress Card Number 61-18435
  2. Web site: Susitna MOA Earth Cover Classification . BlM-Alaska Technical Report 44 . . 15 June 2015 . September 2002 . dead . https://web.archive.org/web/20150923231458/http://www.blm.gov/pgdata/etc/medialib/blm/ak/aktest/tr.Par.36173.File.dat/TR%2044.pdf . 23 September 2015.
  3. Cracknell . Matthew J. . Reading . Anya M. . Anya Reading . February 2014 . Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information . . 63 . 22–33 . 10.1016/j.cageo.2013.10.008 . 2014CG.....63...22C . 0098-3004 . free.
  4. Book: Horning . Ned . Remote Sensing for Ecology and Conservation: A Handbook of Techniques . Robinson . Julie A . . Sterling . Eleanor J. . Turner . Woody . Spector . Sacha . . 2010 . Measuring and Monitoring Land Cover, Land use, and Vegetation Characteristics.
  5. Fisher, P., Comber, A. and Wadsworth, R.. 2005. Land Use and Land Cover: Contradiction or Complement. In Fisher, P. and Unwin, D. (Eds.). Re-Presenting GIS. John Wiley & Sons. https://www.wiley.com/en-ca/Re+Presenting+GIS+-p-9780470848470
  6. [FAO]
  7. values are from CCI_LC(Climate Change Initiative Land Cover) by European Space Agency
  8. FAO Dataset Information: Land Cover Title Abstract Supplemental see Table 1. SEEA CF/AFF land cover classes and corresponding LCC classifiers, page 2,3,4