scholarly journals Examining Discrepancies Among Three Methods Used to Make Hydrophytic Vegetation Determinations for Wetland Delineation Purposes

2014 ◽  
Author(s):  
Robert W. Lichvar ◽  
Jennifer J. Gillrich
Keyword(s):  
Wetland Delineation ◽  
Hydrophytic Vegetation

Aquatic and helophyte vegetation of the Donty Lake (The Komi Republic)

2008 ◽  
pp. 76-85 ◽  
Author(s):  
B. Yu. Teteryuk
Keyword(s):  
Plant Communities ◽  
Rare Species ◽  
Komi Republic ◽  
European Part ◽  
Large Lake ◽  
Hydrophytic Vegetation ◽  
North East ◽  
European Part Of Russia

The results of a syntaxonomical study of plant communities of the large lake Donty (North-East of the European part of Russia) are presented. The diversity of hydrophytic vegetation has been classified into 3 classes (Lemnetea, Potametea and Phragmito-Magnocaricetea), 5 orders, 8 alliances, 20 associations and 1 community. Subasso­ciation Scolochloetum festucaceae caricetosum aquatilis is new. Communities of associations Caricetum aquatilis, Equisetetum fluviatilis, Potamo—Nupharetum luteae, Potametum perfo­liati are mostly wide distributed, while these of Phragmitetum communis, Scolochloetum festucaceae ones are relatively rare as well as Lemno—Spirodeletum polyrchizae, Elodeo—Potametum alpini, Potamo—Nupharetum pumilae, Potametum praelongi and Scirpetum lacustris are very rare. Some communities contain 2 regional rare species: Scolochloa festucacea and Ranunculus lingua.

Holocene Mangrove Formations on the Santa Elena Peninsula, Ecuador: Pluvial Indicators or Ecological Response to Physiographic Changes

1981 ◽  
Vol 46 (3) ◽  
pp. 619-626 ◽  
Author(s):  
Edwin N. Ferdon
Keyword(s):  
Alternative Hypothesis ◽  
Hydrophytic Vegetation ◽  
Ecological Response ◽  
Coastal Uplift ◽  
Santa Elena

Evidence indicates that several temporally distinct periods of prehistoric occupation of the now dry Santa Elena Peninsula of Ecuador coincided with periods of mangrove formation on the Peninsula. This article challenges the premise behind the hypothesis that such hydrophytic vegetation indicates greater rainfall during these periods. An alternative hypothesis is suggested, based upon the argument that known coastal uplift and probable accompanying physiographic changes first created, and later destroyed, the edaphic requirements for such a formation. The need to invoke a hypothesis of climatic shifts is thus dispensed with.

Use of created Wetland delineation and weighted averages as a component of assessment

Wetlands ◽  
1993 ◽  
Vol 13 (3) ◽  
pp. 185-193 ◽  
Author(s):  
R. B. Atkinson ◽  
J. E. Perry ◽  
E. Smith ◽  
J. Cairns
Keyword(s):  
Wetland Delineation ◽  
Weighted Averages ◽  
Created Wetland

Issues related to wetland delineation of a Texas, USA bottomland hardwood forest

Wetlands ◽  
2006 ◽  
Vol 26 (2) ◽  
pp. 410-429 ◽  
Author(s):  
Janet C. Dewey ◽  
Stephen H. Schoenholtz ◽  
James P. Shepard ◽  
Michael G. Messina
Keyword(s):  
Hardwood Forest ◽  
Wetland Delineation ◽  
Bottomland Hardwood Forest ◽  
Bottomland Hardwood

scholarly journals WETLAND ASSESSMENT USING UNMANNED AERIAL VEHICLE (UAV) PHOTOGRAMMETRY

2016 ◽  
Vol XLI-B1 ◽  
pp. 781-788
Author(s):  
M. A. Boon ◽  
R. Greenfield ◽  
S. Tesfamichael
Keyword(s):  
Mean Squared Error ◽  
Health Assessment ◽  
Digital Camera ◽  
Point Clouds ◽  
Field Studies ◽  
3D Models ◽  
Wetland Delineation ◽  
Technological Advancement ◽  
Wetland Assessment ◽  
Wetland Ecosystems

The use of Unmanned Arial Vehicle (UAV) photogrammetry is a valuable tool to enhance our understanding of wetlands. Accurate planning derived from this technological advancement allows for more effective management and conservation of wetland areas. This paper presents results of a study that aimed at investigating the use of UAV photogrammetry as a tool to enhance the assessment of wetland ecosystems. The UAV images were collected during a single flight within 2½ hours over a 100 ha area at the Kameelzynkraal farm, Gauteng Province, South Africa. An AKS Y-6 MKII multi-rotor UAV and a digital camera on a motion compensated gimbal mount were utilised for the survey. Twenty ground control points (GCPs) were surveyed using a Trimble GPS to achieve geometrical precision and georeferencing accuracy. Structure-from-Motion (SfM) computer vision techniques were used to derive ultra-high resolution point clouds, orthophotos and 3D models from the multi-view photos. The geometric accuracy of the data based on the 20 GCP’s were 0.018 m for the overall, 0.0025 m for the vertical root mean squared error (RMSE) and an over all root mean square reprojection error of 0.18 pixel. The UAV products were then edited and subsequently analysed, interpreted and key attributes extracted using a selection of tools/ software applications to enhance the wetland assessment. The results exceeded our expectations and provided a valuable and accurate enhancement to the wetland delineation, classification and health assessment which even with detailed field studies would have been difficult to achieve.

scholarly journals A New Conceptual Framework for Integrating Earth Observation in Large-scale Wetland Management in East Africa

Wetlands ◽  
2021 ◽  
Vol 41 (7) ◽  
Author(s):  
Stefanie Steinbach ◽  
Natalie Cornish ◽  
Jonas Franke ◽  
Konrad Hentze ◽  
Adrian Strauch ◽  
...  
Keyword(s):  
East Africa ◽  
Spatial Data ◽  
Large Scale ◽  
Wetland Management ◽  
Sustainable Use ◽  
Earth Observation ◽  
Wetland Delineation ◽  
Long Run ◽  
Wetland Resources ◽  
National Governments

AbstractWetlands are abundant across the African continent and provide a range of ecosystem services on different scales but are threatened by overuse and degradation. It is essential that national governments enable and ensure the sustainable use of wetland resources to maintain these services in the long run. As informed management decisions require reliable, up-to-date, and large coverage spatial data, we propose a modular Earth observation-based framework for the geo-localisation and characterization of wetlands in East Africa. In this study, we identify four major challenges in spatial data supported wetland management and present a framework to address them. We then apply the framework comprising Wetland Delineation, Surface Water Occurrence, Land Use/Land Cover classification and Wetland Use Intensity for the whole of Rwanda and evaluate the ability of these layers to meet the identified challenges. The layers’ spatial and temporal characteristics make them combinable and the information content, of each layer alone as well as in combination, renders them useful for different wetland management contexts.

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