Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
USGS Global Visualization Viewer (GloVis)
All Landsat 7 ETM+, Landsat 4/5 TM, Landsat 1-5 MSS, EO-1 ALI, EO-1 Hyperion, MRLC, and Tri-Decadal data sets available; LP DAAC ASTER and selected MODIS data holdings also available. Browse-based for enhanced visualization.
Emergency Operations Portal
Explore critical pre- and post-disaster images and datasets online for immediate viewing and downloading.
SPECRICH2
Estimates the total number of species from species presence-absence data on multiple sample sites or occasions using model M(h) from program CAPTURE.
PRESENCE
Estimates patch occupancy rates and related parameters.
RDSURVIV
Computes estimates of survival and capture probability using capture-recapture data with "robust-design" models and recoveries.
GENPRES
Generates patch-occupancy data and analyzes using MARK.
CENTROID
Tests the null hypothesis that two samples of recoveries belong to the same bivariate distribution.
DISTANCE
Allows design and analysis of distance sampling surveys to estimate density and abundance of a population
ECOSRCH
ECOSEARCH was developed as a first step to a testable, scientific basis for ecosystem management.
BROWNIE
Computes estimates of survival and recovery rates for 2-age class band-recovery data.
WinSLAMM (Source Loading and Management Model): Parameter and standard land-use files for Wisconsin
The SLAMM model is used to identify sources of pollutants in urban stormwater runoff and to evaluate management alternatives for reduce pollutants. These files provide stormwater flow and pollutant-concentration data for calibrating and verifying SLAMM for use in Wisconsin (WinSLAMM).
Soil-Water-Balance (SWB) for estimating groundwater recharge
The Soil-Water-Balance (SWB) model has been developed to allow estimates of potential recharge to be made quickly and easily. The code calculates components of the water balance at a daily time-step by means of a modified version of the Thornthwaite-Mather soil-moisture-balance approach.