CO-RIP: A Riparian Vegetation and Corridor Extent Dataset for Colorado River Basin Streams and Rivers
| Autor: | Ryan Anderson, Nicholas E. Young, Rebecca Girma, T. Mayer, Amandeep Vashisht, Sarah Carroll, Paul H. Evangelista, Brian Woodward, Emma Hatcher, Daniel Carver, Catherine S. Jarnevich, Anthony G. Vorster, Amanda M. West, Megan L. Vahsen |
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| Rok vydání: | 2018 |
| Předmět: |
random forests
010504 meteorology & atmospheric sciences Geography Planning and Development riparian corridor Drainage basin lcsh:G1-922 STREAMS 010501 environmental sciences 01 natural sciences valley bottom NAIP Earth and Planetary Sciences (miscellaneous) Riparian forest Computers in Earth Sciences 0105 earth and related environmental sciences Riparian zone Canyon Hydrology geography geography.geographical_feature_category Vegetation V-BET Current (stream) Remote sensing (archaeology) Environmental science Landsat lcsh:Geography (General) |
| Zdroj: | ISPRS International Journal of Geo-Information Volume 7 Issue 10 ISPRS International Journal of Geo-Information, Vol 7, Iss 10, p 397 (2018) |
| ISSN: | 2220-9964 |
| Popis: | Here we present “CO-RIP”, a novel spatial dataset delineating riparian corridors and riparian vegetation along large streams and rivers in the United States (US) portion of the Colorado River Basin. The consistent delineation of riparian areas across large areas using remote sensing has been a historically complicated process partially due to differing definitions in the scientific and management communities regarding what a “riparian corridor” or “riparian vegetation” represents. We use valley-bottoms to define the riparian corridor and establish a riparian vegetation definition interpretable from aerial imagery for efficient, consistent, and broad-scale mapping. Riparian vegetation presence and absence data were collected using a systematic, flexible image interpretation process applicable wherever high resolution imagery is available. We implemented a two-step approach using existing valley bottom delineation methods and random forests classification models that integrate Landsat spectral information to delineate riparian corridors and vegetation across the 12 ecoregions of the Colorado River Basin. Riparian vegetation model accuracy was generally strong (median kappa of 0.80), however it varied across ecoregions (kappa range of 0.42–0.90). We offer suggestions for improvement in our current image interpretation and modelling frameworks, particularly encouraging additional research in mapping riparian vegetation in moist coniferous forest and deep canyon environments. The CO-RIP dataset created through this research is publicly available and can be utilized in a wide range of ecological applications. |
| Databáze: | OpenAIRE |
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