SamplePoint.org  Image Analysis Software for Natural Resources


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SamplePoint
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 has been utlized principally for vegetation photo monitoring in a wide variety of ecosystems. SamplePoint was developed by Berryman Consulting in cooperation with the USDA Agricultural Research Service and the USDI Bureau of Land Management.

Minimum system requirements: Windows OS with .NET Framework 2.0, 5 MB free disk space, Microsoft Excel 97, 512 MB RAM
Current release: 1.59;  13 Nov 2015
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

Video: Ground-based Remote Sensing

Video: Acquiring High Quality Ground-based Vegetation Monitoring Images

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 support@samplepoint.org.



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. If you have used SamplePoint in your research and it's not listed below, please let us know at support@samplepoint.org). 

Ancin-Murguzur FJ, L Munoz, C Monz, P Fauchald, V HausnerL. 2018. Efficient sampling for ecosystem service supply assessment at a landscape scale. Ecosystems and People 15:33-41

Applestein C, MJ Germino, MR Fisk. 2018. Vegetative Community Response to Landscape-Scale Post-fire Herbicide (Imazapic) Application. Invasive Plant Science and Management, DOI: 10.1017/inp.2018.18

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

Bacopoulos P, AS Tritinger, N Dix. 2018. Sea-level rise impact on salt marsh sustainability and migration for a subtropical estuary: GTMNERR (Guana Tolomato Matanzas National Esuarine Research Reserve). Environmental Modeling and Assessment. DOI: 10.1007/s10666-018-9622-6

Baresel JP, P Rischbeck, Y Hu, S Kipp, G Barmeier, B Mistele. 2017. Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat. Computers and Electronics in Agriculture 140:25–33

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 vegetation cover in sagebrush steppe ecosystems. Rangeland Ecology and Management 84(5): 521-532

Brungard CW, JL Boettinger, LE Hipps. 2015. Wind erosion potential of lacustrine and alluvial soils before and after disturbance in the eastern Great Basin, USA: Estimating threshold friction velocity using easier-to-measure soil properties. Aeolian Research 18:185-203

Cagney J, E Bainter, B Budd, T Christiansen, V Herren, M Holloran, B Rashford, M Smith, J Williams. 2010. Grazing Influence, Objective Development, and Management in Wyoming’s Greater Sage-Grouse Habitat. University of Wyoming Extension Publication B-1203

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

Chen Z, W Chen, SG LeBlanc, GHR Henry. 2010. Digital photograph anlaysis for measuring percent plant cover in the Arctic. Arctic 63(3):315-326

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

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

Coy A, D Rankine, M Taylor, DC Nielsen, J Cohen. 2016. Increasing the accuracy and automation of fractional vegetation cover estimation from digital photographs. Remote Sensing 8(7):474

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

Garibotti IA, MG Polo, S Tabeni. 2018. Linking biological soil crust attributes to the multifunctionality of vegetated patches and interspaces in a semiarid shrubland. Functional Ecology DOI:10.1111/1365-2435.13044

Gasch, CK, SV Huzurbazar, PD Stahl. 2015. Description of vegetation and soil properties in sagebrush steppe following pipeline burial, reclamation, and recovery time. Geoderma DOI:10.1016/j.geoderma.2015.11.013

Gearhart A, DT Booth, K Sedevic, C Schauer. 2013. Use of Kendall's coefficient of concordance to assess agreement among observers of very high resolution imagery. Geocarto Intl 28(6):517-5264

Ghazilou A, MR Shokri, W Gladstone. 2015. Application of baited remote underwater video stations to assess benthic coverage in the Persian Gulf. Marine Pollution Bulletin. DOI:10.1016/jmarpolbul.2015.09.034

Gillan JK, JW Karl, N Barger, MC Duniway. 2015. Spatially explicit rangeland erosion monitoring using high-resolution digital aerial imagery. Rangeland Ecology and Management DOI:10.1016/j.rama.2015.10.012

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

Gosselin EN, JD Holbrook, K Huggler, E Brown, KT Vierling, RS Arkle, DS Pilliod. 2016. Ecosystem engineering of harvester ants: Effects on vegetation in a sagebrush-steppe ecosystem. Western North American Naturalist 76(1): 82-89

Greet BJ, BA Mealor, AR Kniss. 2016. Response of Delphinium occidentale and associated vegetation to aminocyclopyrachlor. Rangeland Ecology and Management DOI:10.1016/j.rama.2016.06.004

Guo Q, Z Hu, S Li, G Yu, X Sun, L Li, N Liang, W Bai. 2016. Exogneous N addition ehnances the responses of gross primary productivity to individual precipitation events in a temperate grassland. Scientific Reports 6:26901

Haileselassie H, A Araya, S Habtu, KG Meles, G Gebru, I Kisekka, A Girma, KM Hadgu, AJ Foster. 2016. Exploring optimal farm resources management strategy for Quncho-teff (Eragrostis tef (Zucc.) Trotter) using AquaCrop model. Agricultural Water Management 178:148-158

Haswell PM, KA Jones, J Kusak, MW Hayward. 2018. Fear, foraging and olfaction: how mesopredators avoid costly interactions with apex predators. Oecologia DOI:10.1007/s00442-018-4133-3

Hively, WD, BT Lamb, C Daughtry, J Shermeyer, G McCarty, M Quemada. 2018. Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices. Remote Sensing 10(10):1657

Holbrook JD, DS Pilliod, RS Arkle, JL Rachlow, KT Vierling, MM Wiest. 2016. Transition of vegetation states positively affects harvester ants in the Great Basin, United States. Rangeland Ecology and Management. DOI 10.1016/j.rama.2016.06.009

Holbrook JD, RS Arkle, JL Rachlow, KT Vierling, DS Pilliod, MM Wiest. 2016. Occupancy and abundance of predator and prey: Implications of the fire-cheatgrass cycle in sagebrush ecosystems. Ecosphere 7(6) DOI: 10.1002/ecs2.1307

Howland B, D Stojanovic, IJ Gordon, J Radford, AD Manning, DB Lindenmayer. 2016. Birds of a feather flock together: Using trait-groups to understand the effect of macropod grazing on birds in grassy habitats. Biological Conservation 194:89-99

Howland B, D Stojanovic, IJ Gordon, AD Manning, D Flether, DB Lindenmayer. 2014 Cover Crop Mixtures Do Not Use Water Differently than Single-Species Plantings. PLOS One DOI:10.1371/journal.pone.0105966

Hu JB, MX Dai, ST Peng. 2018. An automated (novel) algorithm for estimating green vegetation cover fraction from digital image: UIP-MGMEP. Environmental Monitoring and Assessment, DOI: 10.1007/s10661-018-7075-7

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

Karl JW, JK Gillan, N Barger, JE Herrick, MC Duniway. 2014. Interpretation of high-resolution imagery for detecting vegetation cover composition change after fuels reduction treatments in woodlands. Ecological Indicators 45:570-578

Ko D, D Kim, A Narantsetseg, S Kang. 2017. Comparison of field- and satellite-based vegetation cover estimation methods. Journal of Ecology and Environment. DOI 10.1186/s41610-016-0022-z

Krueger ES, JM Baker, T Ochsner, CD Wente, GW Feyereisen, DC Reicosky. 2013.On-farm environmental assessment of corn silage production systems receiving liquid dairy manure. Journal of Soil and Water Conservation 68(6):438-449

Laamrani A, RP Lara, AA Berg, D Branson, P Joosse. 2018. Using a mobile device app and proximal remote sensing tehcnologies to assess soil cover fractions on agricultural fields. Sensors 18(3):708

Liu H, S Blagodatsky, M Giese, F Liu, J Xu, G Cadisch. 2016. Impact of herbicide application on soil erosion and induced carbon loss in a rubber plantation of Southwest China. Catena 145:108-192

Lollato RP, A Patrignani, T Ochsner, JT Edwards. 2015. Prediction of plant available water at sowing for winter wheat in the southern Great Plains. Agronomy Journal 108:745-757

Mahood AL. 2017. Long-term effects of repeated firest on the diversity and composition of Great Basin sagebrush plant communities. MA Thesis, Univ Colorado, 37 pp

McMahon L, JL Rachlow, L Shipley, J Sorenson Forbey, TR Johnson, PJ Olsoy. 2017. Evaluation of micro-GPS receivers for tracking small-bodied mammals. PLoS ONE 12(3):e0173185

Moffet C. 2009. Agreement between measurements of shrub cover using bround-based methods and very large 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 DC, DJ Lyon, GW Hergert, RK Higgins, FJ Calderon, MF Vigil. 2015. Cover crop mixtures do not use water differently than single-species plantings. Agronomy Journal 107(3):1025-1038

Nielsen DC, DJ Lyon, GW Hergert, RK Higgins, JD Holman. 2015. Cover Crop Biomass Production and Water Use in the Central Great Plains. Agronomy Journal 107:2047-2058

Nielsen DC, DJ Lyon, RK Higgins, GW Hergert, JD Holman, MF Vigil. 2015. Cover Crop Effect on Subsequent Wheat Yield in the Central Great Plains. Agronomy Journal 108:243-256

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

Oja R, K Zilmer, H Valdmann. 2015. Spatiotemporal effects of supplementary feeding of wild boar (Susscrofa) on artificial ground nest depredation. PLOS ONE DOI:10.134/journal.pone.0135254

Parrish MC, S Demarais, AW Ezell, T Bently Wigley, PD Jones, SK Riffell. 2017. Retained vegetation density of streamside management zones and stringers in southern intensively managed pine forests. Forest Ecology and Management 397:89-96

Pilliod DS, RS Arkle. 2013. Performance of quantitative vegetation sampling methods across gradients of cover in Great Basin plant communities. Rangeland Ecology and Management 66:634-647

Prabhakara K, WD Hively, GW McCarty. 2015. Evaluating the relationship between biomass, percent groundcover and remote sensing indices across six winter cover crop fields in Maryland, United States. International Journal of Applied Earth Observation and Geoinformation 39:88-102

Quemada M, WD Hively, CST Daughtry, BT Lamb, J Shermeyer. 2018. Improved crop residue cover estimates obtained by coupling spectral indices for residue and moisture. Remote Sensing of Environment 206:33-44

Roldan VA, R Baldi, HF Dell Valle, D Deutschman. 2017. Living on the edge: Heterogeneity in vegetation type cover as key factor of the habitat occupied by Dolichotis patagonum at landscape scale. Journal of Arid Environments 140:42-49

Roldan VA, R Baldi. 2016. Location of breeding warrens as indicators of habitat use by maras (Dolichotis patagonum) in Península Valdés, Argentina. Mammalia 81(4) DOI: 10.1515/mammalia-2015-0136

Ryan EM, K Ogle, TJ Zelikova, DR LeCain, D Williams, JA Morgan. 2015. Antecedent moisture and temperature conditions modulate the response of ecosystem respiration to elevated CO2 and warming. Global Change Biology 21(7)

Sanders L, AD Chalfoun. 2018. Novel landscape elements within natural gas fields increase densities but not fitness of an important songbird nest predator. Biological Conservation 228:132-141

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

Skipper B, B Grisham, M Kalyvaki, K McGaughey, k Mougey, L Navarrete, R Rondeau, C Boal, G Perry. 2013. Non-overlapping distributions of feral sheep (Ovis aries) and stout iguanas (Cyclura pinguis) on Guana Island, British Virgin Islands. IRCF Reptiles & Amphibians 20(1):7-15

Stephenson MB, DW Bailey, LD Howery, L Henderson. 2016. Efficacy of low-stress herding and low-moisture block to target cattle grazing locations on New Mexico rangelands. Journal of Arid Environments 130:84-93

Tabeni S, I Garibotti, C Pissolito, JN Aranibar. 2014. Grazing effects on biological soil crusts and their interaction with shrubs and grasses in an arid rangeland. Journal of Vegetation Science 25(6). DOI:10.1111/jvs.12204

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

Wilbur HD, C Alba, AP Norton, RA Hufbauer. 2013. The effect of insect herbivory on the growth and fitness of introduced Verbascum thapsus L. NeoBiota 19:21-44

Wilson ML, JM Baker, DL Allan. 2013. Factors Affecting Successful Establishment of Aerially Seeded Winter Rye. Agronomy Journal 105(6):1868

Yimam YT, TE Ochsner, VG Kakani. 2015.Evapotranspiration partitioning and water use efficiency of switchgrass and biomass sorghum managed for biofuel. Agricultural Water Management 155:40-47

Zelikova TJ, D Williams, R Hoenigman, DM Blumenthal, JA Morgan, E Pendall. 2015. Seasonality of soil moisture mediates responses of ecosystem phenology to elevated CO2 and warming in a semi-arid grassland. Journal of Ecology 103(5) DOI: 10.1111/1365-2745.12440

Zhang W, W Liu, Q Xue, J Chen, X Han. 2013. Evaluation of the AquaCrop model for simulating yield response of winter wheat to water on the southern Loess Plateau of China. Water Science & Technology 68(4):821-828

Zhou L, H He, X Sun, L Zhang, G Yu, X Ren, J Wang, F Zhao. 2012. Modeling winter wheat phenology and carbon dioxide fluxes at the ecosystem scale based on digital photography and eddy covariance data. Ecological Informatics 18: 69-78




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