Articles citing this paper
Spectrometric prediction of secondary metabolites and nitrogen in fresh Eucalyptus foliage: towards remote sensing of the nutritional quality of foliage for leaf-eating marsupials
M. J. H. Ebbers, I. R. Wallis, S. Dury, R. Floyd and W. J. Foley
50(6) pp.761 - 768
25 articles found in Crossref database.
Landscape-scale analysis of nutritional traits of New Zealand tree foliage using near-infrared spectroscopy
Windley Hannah R., Foley William J.
Forest Ecology and Management. 2015 357 p.161
Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data (2004)
The dietary preferences of koalas,Phascolarctos cinereus, in southwest Queensland
Wu Huiying,
McAlpine Clive, Seabrook Leonie
Australian Zoologist. 2012 36(1). p.93
SWIR-based spectral indices for assessing nitrogen content in potato fields
Herrmann I.,
Karnieli A.,
Bonfil D. J.,
Cohen Y., Alchanatis V.
International Journal of Remote Sensing. 2010 31(19). p.5127
Can nutrient status of four woody plant species be predicted using field spectrometry?
Ferwerda Jelle G., Skidmore Andrew K.
ISPRS Journal of Photogrammetry and Remote Sensing. 2007 62(6). p.406
Sample selection, calibration and validation of models developed from a large dataset of near infrared spectra of tree leaves
Au Jessie,
Youngentob Kara N,
Foley William J,
Moore Ben D, Fearn Tom
Journal of Near Infrared Spectroscopy. 2020 28(4). p.186
Deviant near-infrared spectra identifies Corymbia hybrids
Abasolo Myralyn,
Lee David J.,
Raymond Carolyn,
Meder Roger, Shepherd Mervyn
Forest Ecology and Management. 2013 304 p.121
Spectroscopic determination of ecologically relevant plant secondary metabolites
Couture John J.,
Singh Aditya,
Rubert‐Nason Kennedy F.,
Serbin Shawn P.,
Lindroth Richard L.,
Townsend Philip A., Davey Matthew
Methods in Ecology and Evolution. 2016 7(11). p.1402
The bio‐geophysical approach to remote sensing of vegetation in coupled human‐environment systems – societal benefits and global context
Hill M. J.,
Asner G. P., Held A. A.
Journal of Spatial Science. 2006 51(2). p.49
Species distribution modelling using bioclimatic variables to determine the impacts of a changing climate on the western ringtail possum (Pseudocheirus occidentals; Pseudocheiridae)
MOLLOY SHAUN W.,
DAVIS ROBERT A., VAN ETTEN EDDIE J. B.
Environmental Conservation. 2014 41(2). p.176
Changes in plant defense chemistry (pyrrolizidine alkaloids) revealed through high-resolution spectroscopy
Carvalho Sabrina,
Macel Mirka,
Schlerf Martin,
Moghaddam Fatemeh Eghbali,
Mulder Patrick P.J.,
Skidmore Andrew K., van der Putten Wim H.
ISPRS Journal of Photogrammetry and Remote Sensing. 2013 80 p.51
Spectroscopy of canopy chemicals in humid tropical forests
Asner Gregory P.,
Martin Roberta E.,
Knapp David E.,
Tupayachi Raul,
Anderson Christopher,
Carranza Loreli,
Martinez Paola,
Houcheime Mona,
Sinca Felipe, Weiss Parker
Remote Sensing of Environment. 2011 115(12). p.3587
Identification of the best spectral indices to remotely trace the diurnal course of water use efficiency of Tamarix ramosissima in the Gurbantunggut Desert, China
Wang Shanshan,
Chen Xi,
Wang Quan,
Li Pingheng, Cao Xiaoming
Environmental Earth Sciences. 2012 65(1). p.11
Identification of Weeds Based on Hyperspectral Imaging and Machine Learning
Li Yanjie,
Al-Sarayreh Mahmoud,
Irie Kenji,
Hackell Deborah,
Bourdot Graeme,
Reis Marlon M., Ghamkhar Kioumars
Frontiers in Plant Science. 2021 11
Mapping the Leaf Economic Spectrum across West African Tropical Forests Using UAV-Acquired Hyperspectral Imagery
Thomson Eleanor,
Malhi Yadvinder,
Bartholomeus Harm,
Oliveras Imma,
Gvozdevaite Agne,
Peprah Theresa,
Suomalainen Juha,
Quansah John,
Seidu John,
Adonteng Christian,
Abraham Andrew,
Herold Martin,
Adu-Bredu Stephen, Doughty Christopher
Remote Sensing. 2018 10(10). p.1532
Quantitative monitoring of leaf area index in wheat of different plant types by integrating NDVI and Beer-Lambert law
Tan Chang-Wei,
Zhang Peng-Peng,
Zhou Xin-Xing,
Wang Zhi-Xiang,
Xu Zi-Qiang,
Mao Wei,
Li Wen-Xi,
Huo Zhong-Yang,
Guo Wen-Shan, Yun Fei
Scientific Reports. 2020 10(1).
Feeding rates of a mammalian browser confirm the predictions of a ‘foodscape’ model of its habitat
Marsh Karen J.,
Moore Ben D.,
Wallis Ian R., Foley William J.
Oecologia. 2014 174(3). p.873
Hyperspectral assessment of plant responses to multi‐stress environments: Prospects for managing protected agrosystems
Cotrozzi Lorenzo, Couture John J.
PLANTS, PEOPLE, PLANET. 2020 2(3). p.244
Predicting terpene content in dried conifer shoots using near infrared spectroscopy
Champagne Emilie,
Bonin Michaël,
Royo Alejandro A,
Tremblay Jean-Pierre, Raymond Patricia
Journal of Near Infrared Spectroscopy. 2020 28(5-6). p.308
Using imaging spectroscopy to estimate integrated measures of foliage nutritional quality
Youngentob Kara N.,
Renzullo Luigi J.,
Held Alex A.,
Jia Xiuping,
Lindenmayer David B., Foley William J.
Methods in Ecology and Evolution. 2012 3(2). p.416
Inversion analysis of soil nitrogen content using hyperspectral images with different preprocessing methods
Jiachen He,
Jing He,
Gang Liu,
Weile Li,
Zhe Li, Zhi Li
Ecological Informatics. 2023 78 p.102381
Spectroscopic sensitivity of real‐time, rapidly induced phytochemical change in response to damage
Couture John J.,
Serbin Shawn P., Townsend Philip A.
New Phytologist. 2013 198(1). p.311
Discrimination between seedlings of Eucalyptus globulus, E. nitens and their F1 hybrid using near-infrared reflectance spectroscopy and foliar oil content
Humphreys J. R.,
O’Reilly-Wapstra J. M.,
Harbard J. L.,
Davies N. W.,
Griffin A. R.,
Jordan G. J., Potts B. M.
Silvae Genetica. 2008 57(1-6). p.262
Nutritional analysis of sagebrush by near-infrared reflectance spectroscopy
Olsoy Peter J.,
Griggs Thomas C.,
Ulappa Amy C.,
Gehlken Kristina,
Shipley Lisa A.,
Shewmaker Glenn E., Forbey Jennifer Sorensen
Journal of Arid Environments. 2016 134 p.125
Mapping canopy nitrogen‐scapes to assess foraging habitat for a vulnerable arboreal folivore in mixed‐speciesEucalyptusforests
Wagner Benjamin,
Baker Patrick J.,
Moore Ben D., Nitschke Craig R.
Ecology and Evolution. 2021 11(24). p.18401
