Wetland classification

About: Wetland classification is a research topic. Over the lifetime, 334 publications have been published within this topic receiving 12361 citations.

Classification of Wetlands and Deepwater Habitats of the United States

Abstract: From foreword: "This report represents the most current methodology available for wetland classification and culminates a long-term effort involving many wetland scientists."

Satellite remote sensing of wetlands

Abstract: To conserve and manage wetland resources, it is important to inventoryand monitor wetlands and their adjacent uplands. Satellite remote sensing hasseveral advantages for monitoring wetland resources, especially for largegeographic areas. This review summarizes the literature on satellite remotesensing of wetlands, including what classification techniques were mostsuccessful in identifying wetlands and separating them from other land covertypes. All types of wetlands have been studied with satellite remote sensing.Landsat MSS, Landsat TM, and SPOT are the major satellite systems that have beenused to study wetlands; other systems are NOAA AVHRR, IRS-1B LISS-II and radarsystems, including JERS-1, ERS-1 and RADARSAT. Early work with satellite imageryused visual interpretation for classification. The most commonly used computerclassification method to map wetlands is unsupervised classification orclustering. Maximum likelihood is the most common supervised classificationmethod. Wetland classification is difficult because of spectral confusion withother landcover classes and among different types of wetlands. However,multi-temporal data usually improves the classification of wetlands, as doesancillary data such as soil data, elevation or topography data. Classifiedsatellite imagery and maps derived from aerial photography have been comparedwith the conclusion that they offer different but complimentary information.Change detection studies have taken advantage of the repeat coverage andarchival data available with satellite remote sensing. Detailed wetland maps canbe updated using satellite imagery. Given the spatial resolution of satelliteremote sensing systems, fuzzy classification, subpixel classification, spectralmixture analysis, and mixtures estimation may provide more detailed informationon wetlands. A layered, hybrid or rule-based approach may give better resultsthan more traditional methods. The combination of radar and optical data providethe most promise for improving wetland classification.

A Hydrogeomorphic Classification for Wetlands

Abstract: : Wetlands can be classified by methods that range from the use of commonly recognized vegetation or cover types, to systems based on hydrology, geomorphology, or some combination of the two The classification presented here is based on the hydrogeomorphic functions of wetlands There are three basic properties that are used to provide insight into wetland functions: 1 Geomorphic setting-The three categories are depressional, riverine, and fringe Extensive peatlands constitute a separate category because of their unique topographic and hydrologic conditions Depressional wetlands can be open or closed to surface flows, and can be tightly or loosely connected to groundwater flows Riverine wetlands range from those associated with steep to low gradient streams and are represented by floodplains Fringe wetlands are sea level or lake level controlled Peat lands normally initiate their development in depressions If peat lands develop beyond the original depression, they can create their own unique geomorphic settings Each of these four types roughly corresponds with limited combinations of water sources and hydrodynamic conditions

Wetland Indicators: A Guide to Wetland Identification, Delineation, Classification, and Mapping

Abstract: Wetland Definitions Wetland Concepts for Identification and Delineation Plant Indicators of Wetlands and Their Characteristics Vegetation Sampling and Analysis for Wetlands Soil Indicators of Wetlands Wetland Identification and Boundary Delineation Methods Problem Wetlands and Field Situations for Delineation Wetland Classification Wetlands of the United States: An Introduction, With Empahsis on Their Plant Communities Wetland Mapping and Photointerpretation Wetland Professionals, Environmental Engineers, Hydrologists, Soil Scientists Catalog no. L892, May 1999, c. 475 pp., ISBN: 1-87371-892-5, $49.95 NTI/Sales Copy Environmental scientists and others involved with wetland regulations can use Wetland Indicators to strengthen their knowledge about wetlands, and the use of various indicators, to support their decisions on difficult wetland determinations. Ralph W. Tiner primarily focuses on plants, soils, and other signs of wetland hydrology in the soil, or on the surface of wetlands in his discussion. Marketing Class Code: 8S, 8R4, 8H Shelving Guide Wetlands Category Wetlands Subcategory Environmental Engineering

Inland Wetland Change Detection in the Everglades Water Conservation Area 2A Using a Time Series of Normalized Remotely Sensed Data

Abstract: Recent and historical satellite remote sensor data were used to inventory aquatic macrophyte (especially cattail and sawgrass) changes within the Florida Everglades Water Conservation Arae 2A using Landsat Multispectral Scanner (MSS) data (1973, 1976, and 1982) and SPOT High Resolution Visible (HRV) multispectral data (1987 and 1991). The method required a single base year of remotely sensed data with adequate ground reference information (1991). Histological remotely sensed data were normalized to the base year's radiometric characteristics. Statistical clusters extracted from each date of imagery were found in relatively consistent regions of multispectral feature space (using red and near-infrared bandes) and labeled using a core cluster approach. Wetland classification maps of each year were analyzed using post-classification comparison change detection technique to produce maps of (1) cattail change and (2) change in the sawgrass/cattail mixture class. The amount of hectares in each wetland class was tabulated by year. The spatial distribution of the wetland was then overlaid onto a soil porewater phosphorus statistical surface obtained through in situ investigation. The cattail and cattail/sawgrass mixture classes appear to be spatially associated with distribution of relatively high concentrations of porewater phosphorus in Water Conservation Area 2A