Identification of Woodland Vernal Pools with Seasonal Change PALSAR Data for Habitat ConservationReportar como inadecuado

Identification of Woodland Vernal Pools with Seasonal Change PALSAR Data for Habitat Conservation - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.


Michigan Tech Research Institute, Michigan Technological University, 3600 Green Ct. Suite 100, Ann Arbor, MI 48105, USA


Michigan Natural Features Inventory, Michigan State University Extension, P.O. Box 13036, Lansing, MI 48901, USA


Author to whom correspondence should be addressed.

Academic Editors: Javier Bustamante, Alfredo R. Huete, Patricia Kandus, Ricardo Díaz-Delgado, Josef Kellndorfer and Prasad S. Thenkabail

Abstract Woodland vernal pools are important, small, cryptic, ephemeral wetland ecosystems that are vulnerable to a changing climate and anthropogenic influences. To conserve woodland vernal pools for the state of Michigan USA, vernal pool detection and mapping methods were sought that would be efficient, cost-effective, repeatable and accurate. Satellite-based L-band radar data from the high 10 m resolution Japanese ALOS PALSAR sensor were evaluated for suitability in vernal pool detection beneath forest canopies. In a two phase study, potential vernal pool PVP detection was first assessed with unsupervised PALSAR LHH two season change detection spring when flooded—summer when dry and validated with 268, 1 ha field-sampled test cells. This resulted in low false negatives 14%–22%, overall map accuracy of 48% to 62% and high commission error 66%. These results make this blind two-season PALSAR approach for cryptic PVP detection of use for locating areas of high vernal pool likelihood. In a second phase of the research, PALSAR was integrated with 10 m USGS DEM derivatives in a machine learning classifier, which greatly improved overall PVP map accuracies 91% to 93%. This supervised approach with PALSAR was found to produce better mapping results than using LiDAR intensity or C-band SAR data in a fusion with the USGS DEM-derivatives. View Full-Text

Keywords: synthetic aperture radar; DEM; vernal pools; LiDAR synthetic aperture radar; DEM; vernal pools; LiDAR

Autor: Laura L. Bourgeau-Chavez 1,* , Yu Man Lee 2, Michael Battaglia 1, Sarah L. Endres 1, Zachary M. Laubach 1 and Kirk Scarbrough 1



Documentos relacionados