Abstract
Natural land cover information is important for analysing and understanding of the current terrestrial situation, especially in the study area that is facing the environmental deteriorating increasingly. The study combined the remote sensing Aster data and ground truth to improve 2001 land cover map of Guadalteba area in Spain, and increased the accuracy from 47% to 70%. The general land cover map produced about the Guadalteba study area outlines the distribution of the vegetation type and the current natural land cover in the area. Based on this improved general land cover map, the natural cover map gave an indication of the present location of nature and agriculture areas. The shrub land degradation map identified location of various shrub/matorral areas and different levels of degradation. The further analysis and discussion were done. The output maps indicated that much of the natural cover mostly dominated by formations of shrubs has been changed to agriculture and other land uses. It is observed that shrubland covers a small percentage, approximately 9% of the study area, due to land degradation in most parts caused by human interfere.
Similar content being viewed by others
References
Hansen, M.H. 1990. A comprehensive sampling system for forest inventory based on an individual tree growth model [D]. St. Paul, MN: University of Minnesota, College of Natural Resources, PhD dissertation, p 65–78.
International Institute for Aerospace Survey and Earth Sciences (ITC). 2003a. Principle of remote sensing [M]. ITC educational textbook series. ITC, The Netherlands, p79–80.
International Institute for Aerospace Survey and Earth Sciences (ITC). 2003b. Climate, Geology and Vegetation descriptions of the Guadalteba [C]. The Guadalteba project area. ITC, The Netherlands. p2–10.
International Institute for Aerospace Survey and Earth Sciences (ITC). 2002. State of the Environment Report for the Comarca of Guadalteba, Malaga Province, Spain [C]. A group work report of the professional master's degree course in natural resource management in ITC 2001–2002. ITC, The-Netherlands, p10–12.
Iverson, L.R., Cook, E.A., & Graham, R.L. 1994. Regional forest cover estimation via remote sensing—the calibration center concept [J]. Landscape Ecology,9(3): 159–174.
Loetsch, F., & Haller, K.E. 1964 Statistics of forest inventory and information from aerial photographs [M]. Forest inventory. Munchen, Germany: BLV Verlagsgesselschaft. 1: 179–196.
Ronald, E., McRoberts, Daniel, G.,et al. 2002. Using a land cover classification based on satellite imagery to improve the precision of forest inventory area estimates [J]. Remote Sensing of Environment,81: 36–44.
Westinga, E. 2001. Field survey design and sample point selection [C]. ITC course handout. ITC, Netherlands. p2–3.
Author information
Authors and Affiliations
Corresponding author
Additional information
Foundation item: This paper was partly sponsored by NFP (Netherlands Feliowship Program) and National Strategic Project “Environmentally Sound Forest Management Techniques and Models in Natural Forest in Northeast China” (2001BA510B0702) respectively.
Biography: XING Yan-qiu (1970-), female, Lecturer, in College of Engi neering and technology Northeast Forestry University. Harbin 150040. P. R. China
Responsible editor: Song Funan
Rights and permissions
About this article
Cite this article
Yan-qiu, X., Li-hai, W. & Westinga, E. Assessment of degraded mattoral land using remote sensing imagery in Guadalteba Area, Spain. Journal of Forestry Research 15, 145–149 (2004). https://doi.org/10.1007/BF02856751
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02856751