caa a22 4500 467904464 CHVBK 20180406152829.0 cr unu---uuuuu 170328e20060301xx s 000 0 eng 10.1007/s10661-006-1071-z doi (NATIONALLICENCE)springer-10.1007/s10661-006-1071-z Texture Analysis for Mapping Tamarix parviflora Using Aerial Photographs along the Cache Creek, California [Elektronische Daten] [Shaokui Ge, Raymond Carruthers, Peng Gong, Angelica Herrera] Natural color photographs were used to detect the coverage of saltcedar, Tamarix parviflora, along a 40 km portion of Cache Creek near Woodland, California. Historical aerial photographs from 2001 were retrospectively evaluated and compared with actual ground-based information to assess accuracy of the assessment process. The color aerial photos were sequentially digitized, georeferenced, classified using color and texture methods, and mosaiced into maps for field use. Eight types of ground cover (Tamarix, agricultural crops, roads, rocks, water bodies, evergreen trees, non-evergreen trees and shrubs (excluding Tamarix)) were selected from the digitized photos for separability analysis and supervised classification. Due to color similarities among the eight cover types, the average separability, based originally only on color, was very low. The separability was improved significantly through the inclusion of texture analysis. Six types of texture measures with various window sizes were evaluated. The best texture was used as an additional feature along with the color, for identifying Tamarix. A total of 29 color photographs were processed to detect Tamarix infestations using a combination of the original digital images and optimal texture features. It was found that the saltcedar covered a total of 3.96 km2 (396 hectares) within the study area. For the accuracy assessment, 95 classified samples from the resulting map were checked in the field with a global position system (GPS) unit to verify Tamarix presence. The producer's accuracy was 77.89%. In addition, 157 independently located ground sites containing saltcedar were compared with the classified maps, producing a user's accuracy of 71.33%. Springer Science + Business Media, Inc., 2006 invasive species nationallicence saltcedar nationallicence tamarix parviflora nationallicence monitoring nationallicence detection nationallicence aerial photograph nationallicence remote sensing nationallicence California nationallicence texture analysis nationallicence Ge Shaokui Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA aut Carruthers Raymond Exotic and Invasive Weeds Research Unit, Western Regional Research Center USDA, Agricultural Research Service, 800 Buchanan Street, Albany, California, USA aut Gong Peng Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA aut Herrera Angelica Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA aut Environmental Monitoring and Assessment Springer Netherlands 114/1-3(2006-03-01), 65-83 0167-6369 114:1-3<65 2006 114 10661 https://doi.org/10.1007/s10661-006-1071-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-1071-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ge Shaokui Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA aut NATIONALLICENCE 700 1- Carruthers Raymond Exotic and Invasive Weeds Research Unit, Western Regional Research Center USDA, Agricultural Research Service, 800 Buchanan Street, Albany, California, USA aut NATIONALLICENCE 700 1- Gong Peng Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA aut NATIONALLICENCE 700 1- Herrera Angelica Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Springer Netherlands 114/1-3(2006-03-01), 65-83 0167-6369 114:1-3<65 2006 114 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer