Image Analysis Software for Natural Resources

SamplePoint            SampleFreq            ImageMeasurement             About

SamplePoint is free software for manual image analysis. It facilitates foliar cover measurements from nadir imagery by superimposing a systematic or random array of up to 225 crosshairs targeting single image pixels and providing a platform for simple, manual classification of those pixels. Up to 30 species or classes are user-defined, and data are saved automatically to an Excel spreadsheet. SamplePoint was developed by Berryman Consulting in cooperation with the USDA Agricultural Research Service and the USDI Bureau of Land Management.

System requirements: Windows OS with .NET Framework 2.0, 5 MB free disk space, Microsoft Excel 97, 512 MB RAM
Current release: 1.56;  18 Sept 2012
Reference: Booth DT, SE Cox & RD Berryman. Point sampling digital imagery with ‘SamplePoint’. Environmental Monitoring and Assessment 123:97-108.

The software has been tested and been found in specific projects to function properly; however, no warranty is 
implied regarding its proper function across all data sets. It is provided AS IS, with no implied liability for usage.

Download SamplePoint (4 MB)           Help File            Tutorial

There is no need to uninstall an older version of SamplePoint prior to installing an updated version. No classification data will be lost if updating from an earlier version of SamplePoint. For assistance, email

Peer-reviewed research using SamplePoint
(Copyright restrictions limit access to some articles. Some links are limited to users on a network operated by an organization with a subscription to JStore or BioOne, which includes most government and university users. A free registration to ResearchGate is required to view some publications.). 

Augustine DJ, DT Booth, SE Cox, JD Derner. 2012. Grazing intensity and spatial heterogeneity in bare soil in a grazing-resistant grassland. Rangeland Ecology and Management 65(1): 39-46.

Augustine DJ, JD Derner. 2012. Disturbance regimes and mountain plover habitat in shortgrass steppe: Large herbivore grazing does not substitute for prairie dog grazing or fire. Journal of Wildlife Management DOI: 10.1002/jwmg.334

Beck JL, DT Booth, CL Kennedy. 2014. Assessing Greater Sage-Grouse breeding habitat with aerial and ground imagery. Rangeland Ecology and Management 67(3):328-332.

Booth DT, SE Cox, G Simonds, ED Sant. 2012. Willow cover as a stream-recovery indicator under a conservation grazing plan. Ecological Indicators 18:512-519.

Booth DT and SE Cox. 2011. Art to science: Tools for greater objectivity in resource monitoring. Rangelands 33(4):27-34.

Booth, DT, SE Cox and D Teel. 2010. Aerial assessment of leafy spurge (Euphorbia esula L.) on Idaho’s Deep Fire Burn. Native Plants Journal 11:327-339.

Booth, DT and SE Cox. 2009. Dual-camera, high-resolution aerial assessment of pipeline revegetation. Environmental Monitoring and Assessment  158: 23-33.

Booth, DT, SE Cox, T Meikle HR Zuuring. 2008. Ground-cover measurements: Assessing correlation among aerial and ground-based methods. Journal of Environmental Management 42(6): 1091-1100.

Booth, DT, SE Cox. 2008. Image-based monitoring to measure ecological change in rangeland. Frontiers in Ecology and the Environment 6:185-190.

Breckenridge RP, ME Dakins. 2011. Evaluation of bare ground on rangelands using unmanned aerial vehicles. GIS Science and Remote Sensing 48(1):74-85. 

Breckenridge RP, M Dakins, S Bunting, JL Harbour, S White. 2011. Comparison of unmanned aerial vehicle platforms for assessing vegetatin cover in sagebrush steppe ecosystems. Rangeland Ecology and Management 84(5): 521-532

Cagney, J, Cox, SE and Booth, DT. 2011. Comparison of point intercept and image analysis for monitoring rangeland composition and trend. Rangeland Ecology and Management 64:309–315.

Clark PE, DE Johnson, SP Hardegree. 2008. A direct approach for quantifying stream shading. Rangeland Ecology and Management 61:339-345.

Cox, SE and DT Booth. 2009. Shadow attenuation with high dynamic range images. Environmental Monitoring and Assessment 158: 231-241.

Crimmins MA, TM Crimmins. 2008. Monitoring plant phenology using digital repeat photography. Environmental Management 41:949-958.

Dijkstra FA, JA Morgan, RF Follett, DR LeCain. 2013 Climate change reduces the net sink of CH4 and N2O in a semiarid grassland. Global Change Biology 19(6): 1816-1826. DOI:10.1111/gcb.12182

Goonan K, R Manning, CJ van Riper, C Monz. 2009. Managing recreation on mountain summits in the northern forest region of Maine, New Hampshire, New York, and Vermont. Proceedings of the 2009 Northeastern Recreation Research Symposium. GTR-NRS-P-66.

Howland B, D Stojanovic, IJ Gordon, AD Manning, D Flether, DB Lindenmayer. 2014 Eaten out of house and home: Impacts of grazing on ground-dwelling reptiles in Australian grasslands and grassy woodlands. PLOS One DOI:10.1371/journal.pone.0105966

Hunt, ER, CS Daughtry, SB Mirsky, WD Hively. 2014 Remote sensing with simulated unmanned aircraft imagery for precision agriculture applications. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7(11):4566-4571.

Moffet C. 2009. Agreement between measurements of shrub cover using bround-based methods and verylarge scale aerial imagery. Rangeland Ecology and Management 62(3):268-277.

Monz CA, JL Marion, KA Goonan, RE Manning, J Wimpey, C Carr. 2010. Assessment and monitoring of recreation impacts and resource conditions on mountain summits: Examples from the northern forest, USA. Mountain Research and Development 30(4):332-343.

Nielsen D, JJ Miceli-Garcia, DJ Lyon. 2012. Canopy cover and leaf area index relationships for wheat, triticale and corn. Agronomy Journal 104(6):1569-1573

Sivanpillai R, DT Booth. 2008. Characterizing rangeland vegetation using Landsat and 1-mm VLSA data in central Wyoming. Agroforest Systems 73:55-64.

Taylor JB, DT Booth, CM Moffet. 2006. Digital imagery and landscape-scale rangeland monitoring. Proceedings, Western Section, American Society of Animal Science, Vol 57.

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