{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T21:27:51Z","timestamp":1783718871430,"version":"3.55.0"},"reference-count":34,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T00:00:00Z","timestamp":1454284800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The total biomass of a tall fescue (Festuca arundinacea var. Fletcher) pasture was assessed by using a vehicle mounted light detection and ranging (LiDAR) unit to derive canopy height and an active optical reflectance sensor to determine the spectro-optical reflectance index, normalized difference vegetation index (NDVI). In a random plot design, measurements of NDVI and pasture height were combined to estimate biomass with a root mean square error of prediction (RMSEP) equal to \u00b1455.28 kg green dry matter (GDM)\/ha, over a range of 286 kg to 3933 kg GDM\/ha. The combination of NDVI and height measurements were observed to be more accurate in assessing total biomass than just the NDVI (RMSEP \u00b1 846.51 kg\/ha) and height (RMSEP \u00b1 708.13 kg\/ha). Based on the results of the study it was concluded the use of combined LiDAR and active optical reflectance sensors can help unlock the complex interrelationship between green fraction and biomass in swards containing both green and senescent material.<\/jats:p>","DOI":"10.3390\/rs8020109","type":"journal-article","created":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T10:03:26Z","timestamp":1454321006000},"page":"109","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":109,"title":["A Combination of Plant NDVI and LiDAR Measurements Improve the Estimation of Pasture Biomass in Tall Fescue (Festuca arundinacea var. Fletcher)"],"prefix":"10.3390","volume":"8","author":[{"given":"Michael","family":"Schaefer","sequence":"first","affiliation":[{"name":"Precision Agriculture Research Group, School of Science and Technology, The University of New England, Armidale, NSW 2351, Australia"},{"name":"CSIRO Land and Water, GPO Box 1666, Canberra, ACT 2601, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Lamb","sequence":"additional","affiliation":[{"name":"Precision Agriculture Research Group, School of Science and Technology, The University of New England, Armidale, NSW 2351, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,2,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"282","DOI":"10.2307\/3899379","article-title":"Cattle, vegetation, and economic responses to grazing systems and grazing pressure","volume":"41","author":"Hart","year":"1988","journal-title":"J. Range Manag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"638","DOI":"10.2307\/4003460","article-title":"Vegetation, cattle, and economic responses to grazing strategies and pressures","volume":"50","author":"Manley","year":"1997","journal-title":"J. Range Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"644","DOI":"10.2307\/4003606","article-title":"Heterogeneity in tall fescue pastures created and sustained by cattle grazing","volume":"51","author":"Cid","year":"1998","journal-title":"J. Range Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.3168\/jds.2007-0630","article-title":"Effect of Stocking Rate on Pasture Production, Milk Production, and Reproduction of Dairy Cows in Pasture-Based Systems","volume":"91","author":"Macdonald","year":"2008","journal-title":"J. Dairy Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.anifeedsci.2011.03.017","article-title":"Effects of stocking rate on pasture production, milk production and reproduction of supplemented crossbred Holstein\u2013Jersey dairy cows grazing lucerne pasture","volume":"168","author":"Baudracco","year":"2011","journal-title":"Anim. Feed Sci. Technol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1111\/gfs.12048","article-title":"Effect of grazing severity on perennial ryegrass herbage production and sward structural characteristics throughout an entire grazing season","volume":"69","author":"Kennedy","year":"2014","journal-title":"Grass Forage Sci."},{"key":"ref_7","first-page":"663","article-title":"The comparative yield method for estimating dry matter yield of pasture","volume":"15","author":"Haydock","year":"1975","journal-title":"Aust. J. Exp. Agric. Anim. Husb."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"641","DOI":"10.1016\/j.jaridenv.2006.03.008","article-title":"Seasonal changes in pasture biomass, production and offtake under the transhumance system in northern Pakistan","volume":"67","author":"Omer","year":"2006","journal-title":"J. Arid Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1071\/CP10019","article-title":"Evaluating an active optical sensor for quantifying and mapping green herbage mass and growth in a perennial grass pasture","volume":"61","author":"Trotter","year":"2010","journal-title":"Crop Pasture Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1111\/j.1442-9993.1992.tb00790.x","article-title":"Estimating plant biomass: A review of techniques","volume":"17","author":"Catchpole","year":"1992","journal-title":"Aust. J. Ecol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"665","DOI":"10.2134\/agronj1997.00021962008900040020x","article-title":"Determination of pasture biomass using four indirect methods","volume":"89","author":"Harmoney","year":"1997","journal-title":"Agron. J."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.2134\/agronj2000.9261211x","article-title":"Comparison of four nondestructive techniques for estimating standing crop in shortgrass plains","volume":"92","author":"Ganguli","year":"2000","journal-title":"Agron. J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.2134\/agronj2001.1281","article-title":"Estimating forage mass with a commercial capacitance meter, rising plate meter, and pasture ruler","volume":"93","author":"Sanderson","year":"2001","journal-title":"Agron. J."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Hanna, M., Steyn-Ross, D., and Steyn-Ross, M. (1999). Estimating biomass for New Zealand pasture using optical remote sensing techniques. Geocarto Int., 14.","DOI":"10.1080\/10106049908542121"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/S0168-1699(00)00168-X","article-title":"A simple reflectometer for on-farm pasture assessment","volume":"31","author":"Schaare","year":"2001","journal-title":"Comput. Electron. Agric."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.rse.2003.12.013","article-title":"Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture","volume":"90","author":"Haboudane","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.compag.2011.03.009","article-title":"Extended-altitude, aerial mapping of crop NDVI using an active optical sensor: A case study using a Raptor (TM) sensor over wheat","volume":"77","author":"Lamb","year":"2011","journal-title":"Comput. Electron. Agric."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1071\/CP10019","article-title":"Active optical sensors for quantifying and mapping pasture biomass: A case study using red and near infrared waveband combinations from a Crop Circle\u2122 in Tall Fescue (Festuca arundinacea) pastures","volume":"61","author":"Trotter","year":"2010","journal-title":"Crop Pasture Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1793","DOI":"10.1109\/JSTARS.2012.2198049","article-title":"Radiometry of proximal active optical sensors (AOS) for agricultural sensing","volume":"5","author":"Holland","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3619","DOI":"10.1080\/01431160110114529","article-title":"Estimating leaf nitrogen concentration in ryegrass (Lolium spp.) pasture using the chlorophyll red-edge: Theoretical modelling and experimental observations","volume":"23","author":"Lamb","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1111\/j.1365-2494.1986.tb01811.x","article-title":"A comparison of spectral reflectance and sward surface height measurements to estimate herbage mass and leaf area index in continuously stocked ryegrass pastures","volume":"41","author":"King","year":"1986","journal-title":"Grass Forage Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"71","DOI":"10.2307\/3899662","article-title":"Comparison of weight estimate and rising-plate meter methods to measure herbage mass of a mountain meadow","volume":"42","author":"Laca","year":"1989","journal-title":"J. Range Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1111\/j.1365-2494.1991.tb02233.x","article-title":"Spatial heterogeneity and other sources of variance in sward height as measured by the sonic and HFRO sward sticks","volume":"46","author":"Hutchings","year":"1991","journal-title":"Grass Forage Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.compag.2007.09.013","article-title":"Measuring crop biomass density by laser triangulation","volume":"61","author":"Ehlert","year":"2008","journal-title":"Comput. Electron. Agric."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Tilly, N., Hoffmeister, D., Cao, Q., Huang, S., Lenz-Wiedemann, V., Miao, Y., and Bareth, G. (2014). Multitemporal crop surface models: Accurate plant height measurement and biomass estimation with terrestrial laser scanning in paddy rice. J. Appl. Remote Sens., 8.","DOI":"10.1117\/1.JRS.8.083671"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.biosystemseng.2003.09.009","article-title":"Combination of Spectral Reflectance and Ultrasonic Sensing to monitor the Growth of Winter Wheat","volume":"87","author":"Scotford","year":"2004","journal-title":"Biosyst. Eng."},{"key":"ref_28","unstructured":"Poole, N. (2005). Cereal Growth Stages\u2014The Link to Crop Management, Grains Research & Development Corporation."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"530","DOI":"10.2134\/agronj2006.0135","article-title":"By-plant prediction of corn forage biomass and nitrogen uptake at various growth stages using remote sensing and plant height","volume":"99","author":"Freeman","year":"2007","journal-title":"Agron. J."},{"key":"ref_30","unstructured":"BoM (2013) Climate Statistics for Armidale, Available online: www.bom.gov.au\/climate\/averages\/tables\/cw_056037_All.shtml."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1080\/014311698216071","article-title":"Biomass estimation on grazed and ungrazed rangelands using spectral indices","volume":"19","author":"Todd","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","first-page":"99","article-title":"Using multispectral digital imagery to manage within paddock variability in rice production","volume":"Volume 60","author":"Bryson","year":"2000","journal-title":"Aspects of Applied Biology"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s11119-009-9114-4","article-title":"Laser rangefinder-based measuring of crop biomass under field conditions","volume":"10","author":"Ehlert","year":"2009","journal-title":"Precis. Agric."},{"key":"ref_34","first-page":"119","article-title":"Measuring properties of laser rangefinders","volume":"13","author":"Ehlert","year":"2007","journal-title":"Agric. Eng. Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/109\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:18:36Z","timestamp":1760210316000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/2\/109"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,1]]},"references-count":34,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2016,2]]}},"alternative-id":["rs8020109"],"URL":"https:\/\/doi.org\/10.3390\/rs8020109","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2,1]]}}}