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United States Department of Agriculture

Agricultural Research Service

Software

AROP

AROP (v2.2.9) is an automated precise registration and orthorectification package for Landsat and Landsat-like data processing. The Landsat and Landsat-like satellite images acquired from different sensors at different spatial resolutions and projections can be re-projected, co-registered, and orthorectified to the same projection, geographic extent, and spatial resolution using a common base image. The software has been tested in Linux system on various medium resolution data sources.
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Nearest Neighbor Soil Water Retention Estimator

The k-nearest neighbor (k-NN) technique is a non-parametric technique that can be used to make predictions of discrete (class-type) as well as continuous variables. The k-NN technique and many of its derivatives belong to the group of .lazy learning algorithms.. It is .lazy., as it passively stores the development data set until the time of application; all calculations are performed only when estimations need to be generated.
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Small Watershed Hydrology (WinTR-55)

WinTR-55 is a single-event rainfall-runoff small watershed hydrologic model.  The model generates hydrographs from both urban and agricultural areas and at selected points along the stream system. Hydrographs are routed downstream through channels and/or reservoirs. Multiple sub-areas can be modeled within the watershed.
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Snowmelt Runoff Model for Windows (WinSRM)

The Snowmelt-Runoff Model (WinSRM) is designed to simulate and forecast daily streamflow in mountain basins where snowmelt is a major runoff factor.
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STARFM

The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM, v1.2.1) is a data fusion algorithm that combines the spatial resolution of Landsat with the temporal frequency of MODIS. STARFM uses comparisons of one or more pairs of observed Landsat and MODIS images, collected on the same day, to predict images at Landsat-scale on other MODIS observation dates.
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Last Modified: 12/5/2013
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