Development of the Statistical Errors Raster Toolbox with Six Automated Models for Raster Analysis in GIS Environments

نویسندگان

چکیده

The Statistical Errors Raster Toolbox includes models of the most popular error metrics in interdisciplinary literature, namely, root mean square (RMSE), normalized (NRMSE), bias (MBE), (NMBE), absolute (MAE) and (NMAE), for computing areal errors any raster file .tiff format as compared with a reference file. are applicable to size files, no matter if no-data pixels included. only prerequisites that two files share same units, cell size, projection system. novelty lies fact that, date, there is such application ArcGIS Pro 3/ArcMap 10.8. Therefore, users who work require external software, plus relevant expertise. An on evapotranspiration (ETo) Peloponnese peninsula (Greece) presented. MODIS ET products ETo empirical methods employed. results (for 20,440 valid values) software 1000 random points). Considering different sample sizes can lead accuracies inhomogeneity area, it obvious almost identical.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2022

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs14215446