[1815] - GIS for Mapping Vegetation

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Features
Citation
Bareth, G., Waldhoff, G., 2018. GIS for Mapping Vegetation. In: Huang, B. (Eds.): Comprehensive Geographic Information Systems. Reference Module in Earth Systems and Environmental Sciences. Elsevier, Oxford, 1 - 27. DOI: 10.1016/B978-0-12-409548-9.09636-6.
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Identification
Title(s):Main Title: GIS for Mapping Vegetation
Description(s):Abstract: GIS-based mapping of vegetation is a broadly established application with strong interconnections with remote sensing, digital surveying and mapping, as well as with more traditional approaches of mapping and cartography. It is also a major objective of vegetation sciences like agriculture, forestry, geobotany, biogeography, landscape ecology, and resource management and makes it a strongly interdisciplinary topic and task. In this context, the GIS-based mapping or monitoring results like vegetation maps, vegetation inventories, land use/land cover maps, or vegetation time series (like crop rotations) serve as a key information source for spatial decision making processes. Besides the main mapping objective, the mapping scale generally determines the mapping technology and is therefore under permanent change. For the last decades, field surveys were supported by aerial photography and satellite-based remote sensing. Consequently, the area of interest ranged from several hectares to global coverages. However, in the last ten years Unmanned Aerial Systems (UAS) or low-altitude flying manned vehicles like gyrocopters are increasingly used as sensor platforms for proximal and airborne remote sensing, providing subcentimeter resolution data. In addition to satellite-based systems (e.g. Landsat, Sentinel-2) they are combined with ground surveying techniques like field sampling, GPS, and laser scanning which already support vegetation mapping at all scales. This chapter of GIS applications on Mapping of Vegetation focuses on four major topics. In the Plant Communities and Vegetation Inventories section the technical developments, scale levels, GIS-based mapping methodologies, and the variety of available data products are handled. The follow-up section discusses official remote sensing and GIS-based datasets which contain highly valuable vegetation information, but are not intended as inventories in the first place. Multi-Data Methods which make use of such vegetation information to enhance remote sensing-based land use/land cover mapping from global to local scales are discusses thereafter. In the final section, the illustration of GIS methods for the analysis of remote sensing-based super high resolution Digital Surface Models (DSMs) in forestry and agriculture focuses the current state of the art in GIS-based vegetation mapping.
Identifier(s):DOI: 10.1016/B978-0-12-409548-9.09636-6
Responsible Party
Creator(s):Author: Georg Bareth
Author: Guido Waldhoff
Publisher:Elsevier
Topic
TR32 Topic:Remote Sensing
Related Sub-project(s):Z1
Subject(s):CRC/TR32 Keywords: Agriculture, DEM, Forest, GIS, Land Cover, Land Use, Remote Sensing, Surface, Vegetation, Vegetation Index
File Details
File Name:Bareth_Waldhoff_2018.pdf
Data Type:Text
Size(s):27 Pages
File Size:9769 kB (9.54 MB)
Date(s):Available: 2017-07-27
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:None
Measurement Location:--None--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2018
Type:Book Section
Book Title:Comprehensive Geographic Information Systems. Reference Module in Earth Systems and Environmental Sciences
Book Editor:Huang, B.
SeriesTitle:GIS Applications for Environment and Resources
Series Editor:Bareth, G., Song, C., Song, Y.
City:Oxford
Chapter:1
Volume:2
Number Of Pages:27
Page Range:1 - 27
Metadata Details
Metadata Creator:Tanja Kramm
Metadata Created:2018-08-22
Metadata Last Updated:2018-08-22
Subproject:Z1
Funding Phase:3
Metadata Language:English
Metadata Version:V43
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