Gotowe bibliografie tematyczne / Leaf area index

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  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Leaf area index”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Leaf area index"

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CURRAN, P. J., and N. W. WARDLEY. "Radiometric leaf area index." International Journal of Remote Sensing 9, no. 2 (1988): 259–74. http://dx.doi.org/10.1080/01431168808954850.

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Balakrishnan, K., N. Natarajaratnam, and C. Rajendran. "Critical Leaf Area Index in Pigeonpea." Journal of Agronomy and Crop Science 159, no. 3 (1987): 164–66. http://dx.doi.org/10.1111/j.1439-037x.1987.tb00081.x.

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ZHONG, X., S. PENG, J. E. SHEEHY, R. M. VISPERAS, and H. LIU. "Relationship between tillering and leaf area index: quantifying critical leaf area index for tillering in rice." Journal of Agricultural Science 138, no. 3 (2002): 269–79. http://dx.doi.org/10.1017/s0021859601001903.

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A field study was conducted at the International Rice Research Institute (IRRI), Philippines during the dry seasons of 1997 and 1998 under irrigated conditions. The objectives of this study were to quantify the critical leaf area index (LAIc) at which tillering stops based on the relationship between tillering rate and LAI, and to determine the effect of nitrogen (N) on LAIc in irrigated rice (Oryza sativa L.) crop. Results showed that the relative tillering rate (RTR) decreased exponentially as LAI increased at a given N input level. The coefficient of determination for the equation quantifyi
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Zhang, Hu, Jing Li, Qinhuo Liu, et al. "Estimating Leaf Area Index with Dynamic Leaf Optical Properties." Remote Sensing 13, no. 23 (2021): 4898. http://dx.doi.org/10.3390/rs13234898.

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Leaf area index (LAI) plays an important role in models of climate, hydrology, and ecosystem productivity. The physical model-based inversion method is a practical approach for large-scale LAI inversion. However, the ill-posed inversion problem, due to the limited constraint of inaccurate input parameters, is the dominant source of inversion errors. For instance, variables related to leaf optical properties are always set as constants or have large ranges, instead of the actual leaf reflectance of pixel vegetation in the current model-based inversions. This paper proposes to estimate LAI with
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Pierce, Lars L., Steven W. Running, and Joe Walker. "Regional-Scale Relationships of Leaf Area Index to Specific Leaf Area and Leaf Nitrogen Content." Ecological Applications 4, no. 2 (1994): 313–21. http://dx.doi.org/10.2307/1941936.

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Anderson, Martha C. "Simple method for retrieving leaf area index from Landsat using MODIS leaf area index products as reference." Journal of Applied Remote Sensing 6, no. 1 (2012): 063554. http://dx.doi.org/10.1117/1.jrs.6.063554.

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Antognozzi, E., A. Tombesi, and A. Palliotti. "RELATIONSHIP BETWEEN LEAF AREA, LEAF AREA INDEX AND FRUITING IN KIWIFRUIT (ACTINDIA DELICIOSA)." Acta Horticulturae, no. 297 (April 1992): 435–42. http://dx.doi.org/10.17660/actahortic.1992.297.57.

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Borghetti, M., G. G. Vendramin, and R. Giannini. "Specific leaf area and leaf area index distribution in a young Douglas-fir plantation." Canadian Journal of Forest Research 16, no. 6 (1986): 1283–88. http://dx.doi.org/10.1139/x86-227.

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The spatial distribution of specific leaf area and leaf area index of needles in different age classes has been investigated in a young and unthinned Douglas-fir (Pseudotsugamenziesii (Mirb.) Franco) plantation in Central Italy through the destructive analysis of 12 trees sampled in four diameter size classes. Specific leaf area decreased with leaf age and from crown base to apex. A clear interaction between the effects of age and position on specific leaf area was demonstrated. For the whole canopy the vertical distribution of leaf area was well fitted by a normal curve equation, which explai
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Hirose, T., D. D. Ackerly, M. B. Traw, D. Ramseier, and F. A. Bazzaz. "CO2ELEVATION, CANOPY PHOTOSYNTHESIS, ANDOPTIMAL LEAF AREA INDEX." Ecology 78, no. 8 (1997): 2339–50. http://dx.doi.org/10.1890/0012-9658(1997)078[2339:cecpal]2.0.co;2.

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Price, J. C. "Estimating leaf area index from satellite data." IEEE Transactions on Geoscience and Remote Sensing 31, no. 3 (1993): 727–34. http://dx.doi.org/10.1109/36.225538.

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Rozprawy doktorskie na temat "Leaf area index"

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Ebodaghe, Denis Abumere. "Estimating daily green leaf area index for corn in Virginia." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/74731.

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A model to predict the daily green leaf area index (GLAI) for corn has been developed for Indiana conditions. Using daily maximum and minimum temperatures the GLAI was predicted for the vegetative stage, reproductive and grain filling stage, and the leaf senescing stage of corn. Predictions of GLAI for corn can be made on a daily basis from the day corn is planted until it is harvested for grain. The GLAI model was tested under Virginia conditions using green leaf area measurements collected from corn plants grown on Davidson silty clay loam, Davidson silty clay, and Mayodan sandy loam soils
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Malone, Sean M. "Assessment of Soybean Leaf Area for Redefining Management Strategies for Leaf-Feeding Insects." Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/29252.

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Commercially available leaf area index (LAI) meters are tools that can be used in making insect management decisions. However, proper technique must be determined for LAI estimation, and accuracy must be validated for the meters. Full-season soybean require LAI values of at least 3.5 to 4.0 by early to mid-reproductive developmental stages to achieve maximum yield potential, but the relationship between double-crop soybean LAI and yield is unknown. This research (1) evaluated minimum plot size requirements for mechanically defoliated soybean experiments using the LAI-2000 Plant Canopy Analy
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Coker, Graham William Russell. "Leaf Area Index in Closed Canopies: An indicator of site quality." Thesis, University of Canterbury. School of Forestry, 2006. http://hdl.handle.net/10092/1128.

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This study examined leaf area index (LAI) and relationships with corresponding tree growth, climate and soil characteristics across New Zealand forest plantations. The aim of this study was to determine if quick measures of projected leaf area across environmental gradients of New Zealand were an accurate indicator of site quality. Projected leaf areas of Pinus radiata D Don and Cupressus lusitanica Mills seedlings were measured using a Li-Cor LAI-2000 plant canopy analyser at 22 locations representing the soil and climatic diversity across New Zealand plantation forests. Seedlings planted at
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Wang, Dongdong. "Improving satellite Leaf Area Index estimation based on various integration methods." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9872.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2009.<br>Thesis research directed by: Dept. of Geography. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Johnson, Ryan L. "Airborne remote sensing of forest leaf area index in mountainous terrain." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ49131.pdf.

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Johnson, Ryan L., and University of Lethbridge Faculty of Arts and Science. "Airborne remote sensing of forest leaf area index in mountainous terrain." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2000, 2000. http://hdl.handle.net/10133/90.

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Leaf area index (LAI) provides forestry information that is important for regional scale ecological models and in studies of global change. This research examines the effects of mountainous terrain on the radiometric properties of multispectral CASI imagery in estimating ground-based optical measurements of LAI, obtained using the TRAC and LAI- 2000 systems. Field and image data were acquired summer 1998 in Kananaskis, Alberta, Canada. To account for the influence of terrain a new modified approach using the Li and Strahler Geometric Optical Mutual Shadowing (GOMS) model in 'multiple forward
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Fang, Hongliang. "Improving the estimation of leaf area index from multispectral remotely sensed data." College Park, Md. : University of Maryland, 2003. http://hdl.handle.net/1903/304.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2003.<br>Thesis research directed by: Geography. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Bowyer, P. "Estimating leaf area index in savanna vegetation using remote sensing and inverse modelling." Thesis, University of Salford, 2005. http://usir.salford.ac.uk/2234/.

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Leaf area index (LAI), defined as the one sided green leaf area per unit ground area, is a key parameter in ecosystem process models. Owing to the large area of the earth's surface that they occupy, savanna ecosystems represent the third largest terrestrial carbon sink. There is considerable uncertainty however, as to the functioning of these ecosystems, particularly as they respond to land cover changes. Consequently, ecosystem process models constitute one of the best methods available for investigating the effect this may have on terrestrial carbon cycling. If these models are to be used ov
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May, David Z. "A MULTISPECTRAL REMOTE SENSING INVESTIGATION OF LEAF AREA INDEX AT BLACK ROCK FOREST, NY." Ohio University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1157569101.

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Hirooka, Yoshihiro. "Evaluation of Rice Growth Characteristics Based on Non-destructive Measurements of Leaf Area Index." Kyoto University, 2016. http://hdl.handle.net/2433/215581.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第19755号<br>農博第2151号<br>新制||農||1038(附属図書館)<br>学位論文||H28||N4971(農学部図書室)<br>32791<br>京都大学大学院農学研究科農学専攻<br>(主査)教授 白岩 立彦, 教授 奥本 裕, 教授 稲村 達也<br>学位規則第4条第1項該当
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Książki na temat "Leaf area index"

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Deddy, Hadrijanto, ed. Penelitian tentang arsitektural model pohon jenis pioner dalam hubungannya dengan liaf [i.e. leaf] area index (LAI) di Bukit Suharto, Kalimantan Timur. Proyek Peningkatan & Pengembangan Perguruan Tinggi, Universitas Mulawarman, 1989.

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Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Jing, Chen. BOREAS RSS-7 LAI, gap fraction, and FPAR data. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Sarabandi, J. Effect of curvature on the backscattering from leaves. National Aeronautics and Space Administration, 1988.

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Plummer, Stephen E. BOREAS RSS-4 1994 jack pine leaf biochemistry and modeled spectra in the SSA. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Terry, Dawson, and Goddard Space Flight Center, eds. BOREAS RSS-4 1994 jack pine leaf biochemistry and modeled spectra in the SSA. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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A, Morrissey Leslie, Livingston Gerald P, and United States. National Aeronautics and Space Administration., eds. Microwave backscatter and attenuation dependence of leaf area index for flooded rice fields. National Aeronautics and Space Administration, 1995.

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Chen, Jing. BOREAS RSS-7 Landsat TM LAI images of the SSA and NSA. National Aeronautics and Space Administration, Goddard Space Flight Center, 2000.

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Części książek na temat "Leaf area index"

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Liang, Shunlin, Xiaotong Zhang, Zhiqiang Xiao, Jie Cheng, Qiang Liu, and Xiang Zhao. "Leaf Area Index." In Global LAnd Surface Satellite (GLASS) Products. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02588-9_2.

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Keane, Robert E. "LAI: Leaf Area Index." In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-51727-8_237-1.

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Keane, Robert E. "LAI: Leaf Area Index." In Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-52090-2_237.

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Qu, Yonghua. "Leaf Area Index: Advances in Ground-Based Measurement." In Observation and Measurement of Ecohydrological Processes. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-48297-1_11.

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Strachan, I. B., D. W. Stewart, and E. Pattey. "Determination of Leaf Area Index in Agricultural Systems." In Agronomy Monographs. American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, 2015. http://dx.doi.org/10.2134/agronmonogr47.c9.

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Raj, Rahul, Saurabh Suradhaniwar, Rohit Nandan, Adinarayana Jagarlapudi, and Jeffrey Walker. "Drone-Based Sensing for Leaf Area Index Estimation of Citrus Canopy." In Lecture Notes in Civil Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37393-1_9.

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Cao, Hongxin, Chunlei Zhang, Guangming Li, et al. "RESEARCHES OF OPTIMUM LEAF AREA INDEX DYNAMICMODELS FOR RAPE(BRASSICA NAPUS L.)." In Computer and Computing Technologies in Agriculture II, Volume 3. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0213-9_8.

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Rahimi, Hamid, Shahnaz Karami Sorkhalije, and Hajar Marabi. "Determining the Yield of Rice Using the Leaf Area Index (LAI) in Iran." In Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-14096-9_7.

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Gerasko, Tatyana, Lyudmila Velcheva, Liudmyla Todorova, Lyubov Pokoptseva, and Iryna Ivanova. "Effect of Living Mulch on Chlorophyll Index, Leaf Moisture Content and Leaf Area of Sweet Cherry (Prunus avium L.)." In Modern Development Paths of Agricultural Production. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14918-5_66.

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Boote, K. J., and J. W. Jones. "Equations to Define Canopy Photosynthesis from Quantum Efficiency, Maximum Leaf Rate, Light Extinction, Leaf Area Index, and Photon Flux Density." In Progress in Photosynthesis Research. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-017-0519-6_85.

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Streszczenia konferencji na temat "Leaf area index"

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Wang, Dong, Guoyuan Zhou, Jinglue Xu, João Eduardo Batista, Jia Guo, and Hitoshi Iba. "A PSO-CNN-BiLSTM Model for Predicting Leaf Area Index." In 2024 IEEE Cyber Science and Technology Congress (CyberSciTech). IEEE, 2024. https://doi.org/10.1109/cyberscitech64112.2024.00086.

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Xie, Tian, Xuewei Hu, Shiyu Chen, et al. "Estimating the Leaf Area of Urban Individual Trees from Single-Scan Terrestrial Laser Scanner Based on Slant Leaf Area Index." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641382.

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Polimenov, Ventsislav, Krassimira Ivanova, Mihaela Tsvetkova, Elena Anastasova, and Katya Dimitrova. "Calculating Leaf Area Index Using Neural Network and WorldView 3 Multispectral Imagery." In 2024 59th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST). IEEE, 2024. http://dx.doi.org/10.1109/icest62335.2024.10639753.

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Chang, Haoyu, Yulong Liu, Hui Zhang, and Shizhuang Weng. "Detection of Rice Leaf Area Index Based on Multispectral Images of UAV." In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE). IEEE, 2025. https://doi.org/10.1109/nnice64954.2025.11064324.

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Zhu, Xiaohua, Xinyu Chen, and Wei Liu. "Synergistic Use of GaoFen-2 and UAV-Derived Data for Mapping Leaf Area Index." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641466.

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Ghazal, Mohammed, and Hassan Hajjdiab. "Leaf spot area index: A nondestructive mangrove leaf spot estimation technique." In 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES). IEEE, 2015. http://dx.doi.org/10.1109/spices.2015.7091414.

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Verma, Bhagyashree, Rajendra Prasad, Prashant K. Srivastava, and Prachi Singh. "Retrieval of Leaf Area Index Using Inversion Algorithm." In 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2022. http://dx.doi.org/10.1109/whispers56178.2022.9955056.

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Qiu, Zhengjun, Hui Fang, Yun Zhang, and Yong He. "Measurement of leaf area index using image-processing technology." In MIPPR 2005 SAR and Multispectral Image Processing, edited by Liangpei Zhang, Jianqing Zhang, and Mingsheng Liao. SPIE, 2005. http://dx.doi.org/10.1117/12.652409.

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Huang, Wenjiang, Yi Tang, Rongyuan Liu, Guijun Yang, and Xiaoyu Song. "Estimating leaf area index considering the crop geometry effection." In Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2010. http://dx.doi.org/10.1117/12.865967.

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Cai, Erli, Xiuhong Li, Qiang Liu, et al. "Preliminary validation of leaf area index sensor in Huailai." In International Conference on Intelligent Earth Observing and Applications, edited by Guoqing Zhou and Chuanli Kang. SPIE, 2015. http://dx.doi.org/10.1117/12.2207616.

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Raporty organizacyjne na temat "Leaf area index"

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Wang, S. Leaf area index. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/298882.

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Scurlock, JMO. Worldwide Historical Estimates of Leaf Area Index, 1932-2000. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/814100.

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Maloley, MJ, R. Fernandes, F. Canisius, and C. Butson. Peak season leaf area index for the Nanaimo Aquifer - 2011. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2013. http://dx.doi.org/10.4095/293342.

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Fernandes, R. A., and L. Sun. Monthly leaf area index of Canada from medium-resolution satellite imagery. Natural Resources Canada/CMSS/Information Management, 2024. https://doi.org/10.4095/pmrkmpbtuy.

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L'indice de surface foliaire (ISF) quantifie la densité de la végétation indépendamment du type de couverture terrestre. L'ISF mesure la surface totale du feuillage par unité de surface terrestre. L'ISF a été identifié par le Système mondial d'observation du climat comme une variable climatique essentielle nécessaire pour la modélisation et le suivi des écosystèmes, de la météo et du climat. Ce produit comprend une couverture à l'échelle nationale (Canada) de cartes mensuelles de l'ISF maximal pendant une saison de croissance (mai-juin-juillet-août-septembre) à une résolution de 20 mètres.
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Chen, J. M., and J. Cihlar. Retrieving Leaf Area Index of boreal conifer forests using Landsat TM images. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/218507.

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Fernandes, R. A., H. Tang, and L. Brown. Proposed definition of leaf area index by the Committee of Earth Observation Satellites. Natural Resources Canada/CMSS/Information Management, 2024. https://doi.org/10.4095/p9fzmg1djq.

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Le Comité des Satellites d'Observation de la Terre (CEOS) est une Organisation Participante du Groupe des Observations de la Terre (GEO), organe intergouvernemental. Le Groupe de Travail sur l'Étalonnage et la Validation du CEOS est responsable de la définition des variables géophysiques produites par les systèmes satellites du CEOS. Ce document définit l'Indice de Surface Foliaire (LAI), y compris les abréviations recommandées, la symbolique et les unités. Les quantités associées, couramment dérivées tant par des systèmes in-situ que par télédétection, y compris les satellites du CEOS, sont é
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Chen, J. M. Optically-Based Methods for Measuring Seasonal Variation of Leaf area Index in Boreal Conifer Stands. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/218392.

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Leblanc, S. G., R. Fernandes, and J. M. Chen. Recent advancements in optical field leaf area index, foliage heterogeneity, and foliage angular distribution measurements. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/219868.

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Chen, J. M. A New Optical Instrument for Measuring Leaf area Index Based on a Canopy Gap Size Distribution Theory. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1995. http://dx.doi.org/10.4095/218506.

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Fernandes, R., M. Maloley, and F. Canisius. Relationship between leaf area index and Landsat Operational Land Imager equivalent reduced simple ratio vegetation index for the Athabasca oil sands region, northern Alberta. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/308333.

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