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Full-Text Articles in Physical Sciences and Mathematics
Performance Of High Resolution Satellite Rainfall Products Over Data Scarce Parts Of Eastern Ethiopia, Shimelis B. Gebere, Tena Alamirew, Broder J. Merkel, Assefa M. Melesse
Performance Of High Resolution Satellite Rainfall Products Over Data Scarce Parts Of Eastern Ethiopia, Shimelis B. Gebere, Tena Alamirew, Broder J. Merkel, Assefa M. Melesse
Department of Earth and Environment
Accurate estimation of rainfall in mountainous areas is necessary for various water resource-related applications. Though rain gauges accurately measure rainfall, they are rarely found in mountainous regions and satellite rainfall data can be used as an alternative source over these regions. This study evaluated the performance of three high-resolution satellite rainfall products, the Tropical Rainfall Measuring Mission (TRMM 3B42), the Global Satellite Mapping of Precipitation (GSMaP_MVK+), and the Precipitation Estimation from Remotely-Sensed Information using Artificial Neural Networks (PERSIANN) at daily, monthly, and seasonal time scales against rain gauge records over data-scarce parts of Eastern Ethiopia. TRMM 3B42 rain products show …
Supervised Classification Of Benthic Reflectance In Shallow Subtropical Waters Using A Generalized Pixel-Based Classifier Across A Time Series, Tara Blakey, Assefa M. Melesse, Margaret O. Hall
Supervised Classification Of Benthic Reflectance In Shallow Subtropical Waters Using A Generalized Pixel-Based Classifier Across A Time Series, Tara Blakey, Assefa M. Melesse, Margaret O. Hall
Department of Earth and Environment
We tested a supervised classification approach with Landsat 5 Thematic Mapper (TM) data for time-series mapping of seagrass in a subtropical lagoon. Seagrass meadows are an integral link between marine and inland ecosystems and are at risk from upstream processes such as runoff and erosion. Despite the prevalence of image-specific approaches, the classification accuracies we achieved show that pixel-based spectral classes may be generalized and applied to a time series of images that were not included in the classifier training. We employed in-situ data on seagrass abundance from 2007 to 2011 to train and validate a classification model. We created …
Development And Characterization Of Polymorphic Microsatellite Markers (Ssrs) For An Endemic Plant, Pseudolarix Amabilis (Nelson) Rehd. (Pinaceae), Qi-Fang Geng, Jun Liu, Lin Sun, Hong Liu, Yan Ou-Yang, Ying Cai, Xin-Sheng Tang, Hong-Wei Zhang, Zhing-Sheng Wang, Shu-Qing An
Development And Characterization Of Polymorphic Microsatellite Markers (Ssrs) For An Endemic Plant, Pseudolarix Amabilis (Nelson) Rehd. (Pinaceae), Qi-Fang Geng, Jun Liu, Lin Sun, Hong Liu, Yan Ou-Yang, Ying Cai, Xin-Sheng Tang, Hong-Wei Zhang, Zhing-Sheng Wang, Shu-Qing An
Department of Earth and Environment
Pseudolarix (Pinaceae) is a vulnerable (sensu IUCN) monotypic genus restricted to southeastern China. To better understand levels of genetic diversity, population structure and gene flow among populations of P. amabilis, we developed five compound SSR markers and ten novel polymorphic expressed sequence tags (EST) derived microsatellites. The results showed that all 15 loci were polymorphic with the number of alleles per locus ranging from two to seven. The expected and observed heterozygosities varied from 0.169 to 0.752, and 0.000 to 1.000, respectively. The inbreeding coefficient ranged from −0.833 to 1.000. These markers will contribute to research on genetic diversity and …