Open Access. Powered by Scholars. Published by Universities.®

Databases and Information Systems Commons

Open Access. Powered by Scholars. Published by Universities.®

University of Nebraska - Lincoln

Environmental Sciences

School of Natural Resources: Faculty Publications

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Databases and Information Systems

Getting Started With Prpl, Qingfeng Guan Apr 2008

Getting Started With Prpl, Qingfeng Guan

School of Natural Resources: Faculty Publications

pRPL is an open-source1 general-purpose parallel Raster Processing programming Library developed by Qingfeng Guan, in the Department of Geography, University of California, Santa Barbara. pRPL encapsulates complex parallel computing utilities and routines specifically for raster processing (e.g., raster data decomposition, distribution and gathering among multiple processors, inter-processor communication and data exchange), and provides an easy-to-use interface for users to parallelize almost any raster processing algorithm with any arbitrary neighborhood (or moving window) configuration. pRPL enables the implementation of parallel raster-processing algorithms without requiring a deep understanding of parallel computing and programming, thus it greatly reduces the development complexity. Moreover, even …


Comparison Of Modis And Avhrr 16-Day Normalized Difference Vegetation Index Composite Data, Kevin P. Gallo, Lei Ji, Brad Reed, John Dwyer, Jeffrey Eidenshink Jan 2004

Comparison Of Modis And Avhrr 16-Day Normalized Difference Vegetation Index Composite Data, Kevin P. Gallo, Lei Ji, Brad Reed, John Dwyer, Jeffrey Eidenshink

School of Natural Resources: Faculty Publications

Normalized difference vegetation index (NDVI) data derived from visible and near-infrared data acquired by the MODIS and AVHRR sensors were compared over the same time periods and a variety of land cover classes within the conterminous USA. The relationship between the AVHRR derived NDVI values and those of future sensors is critical to continued long term monitoring of land surface properties. The results indicate that the 16-day composite values are quite similar over the 23 intervals of 2001 that were analyzed, and a linear relationship exists between the NDVI values from the two sensors. The composite AVHRR NDVI data were …