Preprint Article Version 1 This version not peer reviewed

GIS and Remote Sensing Applications in Wetland Mapping and Monitoring

Version 1 : Received: 14 September 2017 / Approved: 14 September 2017 / Online: 14 September 2017 (17:25:27 CEST)

A peer-reviewed article of this Preprint also exists.

Wu, Q. (2018). GIS and Remote Sensing Applications in Wetland Mapping and Monitoring. In: Huang, B. (Ed.), Comprehensive Geographic Information Systems, Vol. 2, pp. 140–157. Oxford: Elsevier. DOI: 10.1016/B978-0-12-409548-9.10460-9 Wu, Q. (2018). GIS and Remote Sensing Applications in Wetland Mapping and Monitoring. In: Huang, B. (Ed.), Comprehensive Geographic Information Systems, Vol. 2, pp. 140–157. Oxford: Elsevier. DOI: 10.1016/B978-0-12-409548-9.10460-9

Journal reference: Comprehensive Geographic Information Systems 2018, 2, 140-157
DOI: 10.1016/B978-0-12-409548-9.10460-9

Abstract

Wetlands are recognized as one of the world’s most valuable natural resources. With the increasing world population, human demands on wetland resources for agricultural expansion and urban development continue to increase. In addition, global climate change has pronounced impacts on wetland ecosystems through alterations in hydrological regimes. To better manage and conserve wetland resources, we need to know the distribution and extent of wetlands and monitor their dynamic changes. Wetland maps and inventories can provide crucial information for wetland conservation, restoration, and management. Geographic Information System (GIS) and remote sensing technologies have proven to be useful for mapping and monitoring wetland resources. Recent advances in geospatial technologies have greatly increased the availability of remotely sensed imagery with better and finer spatial, temporal, and spectral resolution. This chapter presents an introduction to the uses of GIS and remote sensing technologies for wetland mapping and monitoring. A case study is presented to demonstrate the use of high-resolution light detection and ranging (LiDAR) data and aerial photographs for mapping prairie potholes and surface hydrologic flow pathways.  

Subject Areas

GIS; image classification; LiDAR; remote sensing; wetland indicator; global wetland inventory; wetland mapping

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