{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T12:26:41Z","timestamp":1773923201940,"version":"3.50.1"},"reference-count":69,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2015,7,17]],"date-time":"2015-07-17T00:00:00Z","timestamp":1437091200000},"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>Information on foliar macronutrients is required in order to understand plant physiological and ecosystem processes such as photosynthesis, nutrient cycling, respiration and cell wall formation. The ability to measure, model and map foliar macronutrients (nitrogen (N), phosphorus (P), potassium (K), calcium (Ca) and magnesium (Mg)) at the forest canopy level provides information on the spatial patterns of ecosystem processes (e.g., carbon exchange) and provides insight on forest condition and stress. Imaging spectroscopy (IS) has been used particularly for modeling N, using airborne and satellite imagery mostly in temperate and tropical forests. However, there has been very little research conducted at these scales to model P, K, Ca, and Mg and few studies have focused on boreal forests. We report results of a study of macronutrient modeling using spaceborne IS and airborne light detection and ranging (LiDAR) data for a mixedwood boreal forest canopy in northern Ontario, Canada. Models incorporating Hyperion data explained approximately 90% of the variation in canopy concentrations of N, P, and Mg; whereas the inclusion of LiDAR data significantly improved the prediction of canopy concentration of Ca (R2 = 0.80). The combined used of IS and LiDAR data significantly improved the prediction accuracy of canopy Ca and K concentration but decreased the prediction accuracy of canopy P concentration. The results indicate that the variability of macronutrient concentration due to interspecific and functional type differences at the site provides the basis for the relationship observed between the remote sensing measurements (i.e., IS and LiDAR) and macronutrient concentration. Crown closure and canopy height are the structural metrics that establish the connection between macronutrient concentration and IS and LiDAR data, respectively. The spatial distribution of macronutrient concentration at the canopy scale mimics functional type distribution at the site. The ability to predict canopy N, P, K, Ca and Mg in this study using only IS, only LiDAR or their combination demonstrates the excellent potential for mapping these macronutrients at canopy scales across larger geographic areas into the next decade with the launch of new IS satellite missions and by using spaceborne LiDAR data.<\/jats:p>","DOI":"10.3390\/rs70709045","type":"journal-article","created":{"date-parts":[[2015,7,17]],"date-time":"2015-07-17T11:18:48Z","timestamp":1437131928000},"page":"9045-9069","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Prediction of Macronutrients at the Canopy Level Using Spaceborne Imaging Spectroscopy and LiDAR Data in a Mixedwood Boreal Forest"],"prefix":"10.3390","volume":"7","author":[{"given":"Kemal","family":"G\u00f6kkaya","sequence":"first","affiliation":[{"name":"Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg,  VA 24060, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2189-6013","authenticated-orcid":false,"given":"Valerie","family":"Thomas","sequence":"additional","affiliation":[{"name":"Department of Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg,  VA 24060, USA"}]},{"given":"Thomas","family":"Noland","sequence":"additional","affiliation":[{"name":"Ontario Ministry of Natural Resources and Forestry, Ontario Forest Research Institute, Sault Ste. Marie, ON P6A 2E5, Canada"}]},{"given":"Harry","family":"McCaughey","sequence":"additional","affiliation":[{"name":"Department of Geography, Queen's University, Kingston, ON K7L 3N6, Canada"}]},{"given":"Ian","family":"Morrison","sequence":"additional","affiliation":[{"name":"Canadian Forest Service, Natural Resources Canada, Sault Ste. Marie, ON P6A 2E5, Canada"}]},{"given":"Paul","family":"Treitz","sequence":"additional","affiliation":[{"name":"Department of Geography, Queen's University, Kingston, ON K7L 3N6, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2015,7,17]]},"reference":[{"key":"ref_1","unstructured":"Taiz, L., and Zeiger, E. (2010). Plant Physiology, Sinauer Associates Inc.. [5th ed.]."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"621","DOI":"10.2307\/1936780","article-title":"Nitrogen and lignin control of hardwood leaf litter decomposition dynamics","volume":"63","author":"Melillo","year":"1982","journal-title":"Ecology"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1890\/1051-0761(2002)012[1286:DEOAFP]2.0.CO;2","article-title":"Direct estimation of aboveground forest productivity through hyperspectral remote sensing of canopy nitrogen","volume":"12","author":"Smith","year":"2002","journal-title":"Ecol. Appl."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1146\/annurev.es.11.110180.001313","article-title":"The mineral nutrition of wild plants","volume":"11","author":"Chapin","year":"1980","journal-title":"Annu. Rev. Ecol. Syst."},{"key":"ref_5","unstructured":"Marschner, H. (1995). Mineral Nutrition of Higher Plants, Academic Press. [2nd ed.]."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Mengel, K., and Kirkby, E.A. (2001). Principles of Plant Nutrition, Kluwer Academic Publishers. [5th ed.].","DOI":"10.1007\/978-94-010-1009-2"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1105\/tpc.105.032508","article-title":"Calcium: A central regulator of plant growth and development","volume":"17","author":"Hepler","year":"2005","journal-title":"Plant Cell"},{"key":"ref_8","unstructured":"Olivier, J.G.J., Janssens-Maenhout, G., Peters, J.A.H.W., and Wilson, J. (2011). Long-Term Trend in Global CO2 Emissions 2011 Report, PBL\/JRC."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10021-005-0079-5","article-title":"Net primary production and canopy nitrogen in a temperate forest landscape: An analysis using imaging spectroscopy, modeling, and field data","volume":"8","author":"Ollinger","year":"2005","journal-title":"Ecosystems"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TGRS.2003.813135","article-title":"Prediction of eucalypt foliage nitrogen content from satellite-derived hyperspectral data","volume":"41","author":"Coops","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1332","DOI":"10.1109\/TGRS.2003.813128","article-title":"Analysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: Comparison between an airborne (AVIRIS) and a spaceborne (Hyperion) sensor","volume":"41","author":"Smith","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1109\/TGRS.2003.813205","article-title":"Application of imaging spectroscopy to mapping canopy nitrogen in the forests of the central Appalachian Mountains using Hyperion and AVIRIS","volume":"41","author":"Townsend","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1038\/335154a0","article-title":"Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems","volume":"335","author":"Wessman","year":"1988","journal-title":"Nature"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1109\/36.563280","article-title":"Remote sensing the biochemical composition of a slash pine canopy","volume":"35","author":"Curran","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1890\/1051-0761(1997)007[0431:HSRRSO]2.0.CO;2","article-title":"High spectral resolution remote sensing of forest canopy lignin, nitrogen, and ecosystem processes","volume":"7","author":"Martin","year":"1997","journal-title":"Ecol. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1007\/s00442-012-2263-6","article-title":"Variation in foliar nitrogen and albedo in response to nitrogen fertilization and elevated CO2","volume":"169","author":"Wicklein","year":"2012","journal-title":"Oecologia"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1007\/s10021-007-9041-z","article-title":"Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests","volume":"10","author":"Carlson","year":"2007","journal-title":"Ecosystems"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"5604","DOI":"10.1073\/pnas.1401181111","article-title":"Amazonian functional diversity from forest canopy chemical assembly","volume":"111","author":"Asner","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Kalacska, M., and Sanches-Azofeifa, G.A. (2008). Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests, CRC Press.","DOI":"10.1201\/9781420053432"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"S78","DOI":"10.1016\/j.rse.2008.10.018","article-title":"Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies","volume":"113","author":"Kokaly","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"19336","DOI":"10.1073\/pnas.0810021105","article-title":"Canopy nitrogen, carbon assimilation, and albedo in temperate and boreal forests: Functional relations and potential climate feedbacks","volume":"105","author":"Ollinger","year":"2008","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_22","first-page":"E185","article-title":"Hyperspectral remote sensing of foliar nitrogen content","volume":"110","author":"Knyazikhin","year":"2012","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"16","DOI":"10.2134\/agronj1974.00021962006600010005x","article-title":"Spectra of normal and nutrient deficient maize leaves","volume":"66","author":"Barr","year":"1974","journal-title":"Agron. J."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1215","DOI":"10.2134\/agronj2002.1215","article-title":"Detection of phosphorous and nitrogen deficiencies in corn using spectral radiance measurements","volume":"94","author":"Osborne","year":"2002","journal-title":"Agron. J."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1827","DOI":"10.1080\/01431160110075622","article-title":"Analysis of in situ hyperspectral data for nutrient estimation of giant sequoia","volume":"23","author":"Gong","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2249","DOI":"10.1080\/014311699212236","article-title":"Spectral features associated with nitrogen, phosphorus, and potassium deficiencies in Eucalyptus saligna seedling leaves","volume":"20","author":"Ponzoni","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.rse.2003.11.001","article-title":"Predicting in situ pasture quality in the Kruger National Park, South Africa, using continuum-removed absorption features","volume":"89","author":"Mutanga","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.isprsjprs.2007.07.004","article-title":"Can nutrient status of four woody plant species be predicted using field spectrometry?","volume":"62","author":"Ferwerda","year":"2007","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"10909","DOI":"10.1073\/pnas.0504929102","article-title":"Ground-based and remotely sensed nutrient availability across a tropical landscape","volume":"102","author":"Porder","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"4897","DOI":"10.1080\/01431160701253253","article-title":"Estimating and mapping grass phosphorus concentration in an African savanna using hyperspectral image data","volume":"28","author":"Mutanga","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"452","DOI":"10.2111\/04-17.1","article-title":"Hyperspectral one-meter-resolution remote Sensing in Yellowstone National Park, Wyoming: I. Forage nutritional values","volume":"58","author":"Mirik","year":"2005","journal-title":"Rangel. Ecol. Manag."},{"key":"ref_32","unstructured":"NASA HyspIRI Mission Website, Available online: http:\/\/hyspiri.jpl.nasa.gov."},{"key":"ref_33","unstructured":"EnMAP Website. Available online: http:\/\/www.enmap.org\/sites\/default\/files\/pdf\/pub\/EnMAP_komplett_web_eng.pdf."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/0034-4257(89)90069-2","article-title":"Remote sensing of foliar chemistry","volume":"30","author":"Curran","year":"1989","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/S0034-4257(98)00084-4","article-title":"Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression","volume":"67","author":"Kokaly","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/0034-4257(95)00135-N","article-title":"Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400\u20132500 nm) at leaf and canopy scales","volume":"53","author":"Yoder","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/S0034-4257(98)00014-5","article-title":"Biophysical and biochemical sources of variability in canopy reflectance","volume":"64","author":"Asner","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1111\/j.1469-8137.2010.03536.x","article-title":"Sources of variability in canopy reflectance and the convergent properties of plants","volume":"189","author":"Ollinger","year":"2011","journal-title":"New Phytol."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1080\/05704928508060434","article-title":"Quantitative analysis by derivative electronic spectroscopy","volume":"21","author":"Dixit","year":"1985","journal-title":"Appl. Spectrosc. Rev."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/0034-4257(95)00132-K","article-title":"Comparison of broad-band and narrow-band red and near-infrared vegetation indices","volume":"54","author":"Elvidge","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/S0034-4257(01)00182-1","article-title":"Estimating the foliar biochemical concentration of leaves with reflectance spectrometry-testing the Kokaly and Clark methodologies","volume":"76","author":"Curran","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.rse.2004.06.008","article-title":"Estimating foliage nitrogen concentration from HYMAP data using continuum removal analysis","volume":"93","author":"Huang","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1080\/01431160512331326738","article-title":"Estimating tropical pasture quality at canopy level using band depth analysis with continuum removal in the visible domain","volume":"26","author":"Mutanga","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Kramer, R. (1998). Chemometric Techniques for Quantitative Analysis, Marcel Dekker.","DOI":"10.1201\/9780203909805"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1947","DOI":"10.1016\/j.jqsrt.2010.03.007","article-title":"Brightness-normalized Partial Least Squares Regression for hyperspectral data","volume":"111","author":"Feilhauer","year":"2010","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"6895","DOI":"10.1073\/pnas.1215513110","article-title":"Environmental and community controls on plant canopy chemistry in a Mediterranean-type ecosystem","volume":"110","author":"Dahlin","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.rse.2012.05.002","article-title":"Remote sensing of sagebrush canopy nitrogen","volume":"124","author":"Mitchell","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1890\/07-0276.1","article-title":"The spatial pattern of nitrogen cycling in the Adirondack Park, New York","volume":"18","author":"McNeil","year":"2008","journal-title":"Ecol. Appl."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1890\/08-0023.1","article-title":"Leaf chemical and spectral diversity of Australian tropical forests","volume":"19","author":"Asner","year":"2009","journal-title":"Ecol. Appl."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1007\/s10021-012-9526-2","article-title":"Sources of canopy chemical and spectral diversity in lowland Bornean forest","volume":"15","author":"Asner","year":"2012","journal-title":"Ecosystems"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1038\/nature02403","article-title":"The worldwide leaf economics spectrum","volume":"428","author":"Wright","year":"2004","journal-title":"Nature"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"13730","DOI":"10.1073\/pnas.94.25.13730","article-title":"From tropics to tundra: Global convergence in plant functioning","volume":"94","author":"Reich","year":"1997","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1111\/nph.12895","article-title":"Functional and biological diversity of foliar spectra in tree canopies throughout the Andes to Amazon region","volume":"204","author":"Asner","year":"2014","journal-title":"New Phytol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1111\/avsc.12122","article-title":"Mapping continuous forest type variation by means of correlating remotely sensed metrics to canopy N:P ratio in a boreal mixedwood forest","volume":"18","author":"Thomas","year":"2015","journal-title":"Appl. Veg. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1080\/01431160701281023","article-title":"Canopy chlorophyll concentration estimation using hyperspectral and LiDAR data for a boreal mixedwood forest in northern Ontario, Canada","volume":"29","author":"Thomas","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1016\/j.rse.2010.12.011","article-title":"Airborne discrete-return LiDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index","volume":"115","author":"Korhonen","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1890\/09-0896.1","article-title":"Response of a boreal forest to canopy opening: Assessing vertical and lateral tree growth with multi-temporal LiDAR data","volume":"21","author":"Vepakomma","year":"2011","journal-title":"Ecol. Appl."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.3390\/rs4061600","article-title":"Post-fire canopy height recovery in Canada\u2019s boreal forests using Airborne Laser Scanner (ALS)","volume":"4","author":"Magnussen","year":"2012","journal-title":"Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"6617","DOI":"10.1007\/s10661-012-3051-9","article-title":"Measuring forest structure along productivity gradients in the Canadian boreal with small-footprint Lidar","volume":"185","author":"Bolton","year":"2013","journal-title":"Environ. Monit. Assess."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.agrformet.2012.11.012","article-title":"Classification of tree species based on structural features derived from high density LiDAR data","volume":"171\u2013172","author":"Li","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1007\/s10342-010-0381-4","article-title":"Retrieval of forest structural parameters using LiDAR remote sensing","volume":"129","author":"Nieuwenhuis","year":"2010","journal-title":"Eur. J. For. Res."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1080\/01431161.2013.866291","article-title":"Testing the robustness of predictive models for chlorophyll generated from spaceborne imaging spectroscopy data for a mixedwood boreal forest canopy","volume":"35","author":"Thomas","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_63","unstructured":"National Forest Inventory Ground Sampling Guidelines, version 4.0. Available online: http:\/\/www.proprights.org\/PDFs\/workshop_2011\/References\/Forest%20Humus\/GroundSamplingGuidelines_v.4.0._back.pdf."},{"key":"ref_64","unstructured":"Alemdag, I.S. (1983). Mass Equations and Merchantability Factors for Ontario Softwoods, Information Report PI-X-23."},{"key":"ref_65","unstructured":"Alemdag, I.S. (1984). Total Tree and Merchantable Stem Biomass Equations for Ontario Hardwoods, Information Report PI-X-46."},{"key":"ref_66","unstructured":"Optech Inc. ALTM 2050 Airborne Laser Terrain Mapper on-line technical specifications document. Available online: http:\/\/als.nyme.hu\/fileadmin\/dokumentumok\/als\/Leirasok\/Optech_ALTM_2050.pdf."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1139\/x05-230","article-title":"Mapping stand-level forest biophysical variables for a mixedwood boreal forest using lidar: an examination of scanning density","volume":"36","author":"Thomas","year":"2006","journal-title":"Can. J. For. Res."},{"key":"ref_68","unstructured":"de Vaterbeemd, H. (1984). Chemometric Methods in Molecular Design (Methods and Principles in Medicinal Chemistry), Verlag-Chemie."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.foreco.2014.05.023","article-title":"Stand age effects on Boreal forest physiology using a long time-series of satellite data","volume":"328","author":"Croft","year":"2014","journal-title":"For. Ecol. Manag."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/7\/9045\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:49:21Z","timestamp":1760215761000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/7\/9045"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,17]]},"references-count":69,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2015,7]]}},"alternative-id":["rs70709045"],"URL":"https:\/\/doi.org\/10.3390\/rs70709045","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,17]]}}}