Relevant bibliographies by topics / Canopy height

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Canopy height'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Canopy height"

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Li, Yi, Shijuan Gao, Haiqiang Fu, et al. "Error Analysis and Accuracy Improvement in Forest Canopy Height Estimation Based on GEDI L2A Product: A Case Study in the United States." Forests 15, no. 9 (2024): 1536. http://dx.doi.org/10.3390/f15091536.

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Various error factors influence the inversion of forest canopy height using GEDI full-waveform LiDAR data, and the interaction of these factors impacts the accuracy of forest canopy height estimation. From an error perspective, there is still a lack of methods to fully correct the impact of various error factors on the retrieval of forest canopy height from GEDI. From the modeling perspective, establishing clear coupling models between various environments, collection parameters, and GEDI forest canopy height errors is challenging. Understanding the comprehensive impact of various environments
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Chen, Feng, Xuqing Zhang, Longyu Wang, Bing Du, Songya Dang, and Linwei Wang. "Systematic Evaluation of Multi-Resolution ICESat-2 Canopy Height Data: A Case Study of the Taranaki Region." Remote Sensing 15, no. 24 (2023): 5686. http://dx.doi.org/10.3390/rs15245686.

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Forest canopy height data are essential to assessing forest biomass and carbon storage, and they can be efficiently retrieved using the Advanced Terrain Laser Altimetry System (ATLAS) onboard ICESat-2. However, due to the sparse and discrete distribution of ATLAS footprints, the wall-to-wall mapping of forest canopy heights requires a combination of other ancillary data. In order to match the ATLAS data with ancillary data, or estimate higher-resolution canopy heights, the standard ATLAS canopy height products (ATL08), reported at a fixed step size of 100 m (12 m × 100 m), are typically divide
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Cui, Lei, Ziti Jiao, Yadong Dong, et al. "Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances." Remote Sensing 11, no. 19 (2019): 2239. http://dx.doi.org/10.3390/rs11192239.

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Forest-canopy height is an important parameter for the estimation of forest biomass and terrestrial carbon flux and climate-change research at regional and global scales. Currently, various methods combining Light Detection and Ranging (LiDAR) data with various auxiliary data, particularly satellite remotely sensed reflectances, have been widely used to produce spatially continuous canopy-height products. However, current methods in use for remote sensing reflectances mainly focus on the nadir view direction, while anisotropic reflectances, which are theoretically more sensitive to the forest
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Malambo, Lonesome, Sorin Popescu, and Meng Liu. "Landsat-Scale Regional Forest Canopy Height Mapping Using ICESat-2 Along-Track Heights: Case Study of Eastern Texas." Remote Sensing 15, no. 1 (2022): 1. http://dx.doi.org/10.3390/rs15010001.

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Spaceborne profiling lidar missions such as the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) are collecting direct elevation measurements, supporting the retrieval of vegetation attributes such as canopy height that are crucial in forest carbon and ecological studies. However, such profiling lidar systems collect observations along predefined ground tracks which limit the spatially complete mapping of forest canopy height. We demonstrate that the fusion of ICESat-2 along-track canopy height estimates and ancillary Landsat and LANDFIRE (Landscape Fire and Resource Management Planning T
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Magnussen, S., and P. Boudewyn. "Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimators." Canadian Journal of Forest Research 28, no. 7 (1998): 1016–31. http://dx.doi.org/10.1139/x98-078.

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The distribution of canopy heights obtained with an airborne laser scanner over a field trial with Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) was a function of the vertical distribution of foliage area. Over a wide range of canopy structures, the proportion of laser pulses returned from or above a given reference height was proportional to the fraction of leaf area above it. We hypothesized that the quantile of the laser canopy heights matching in probability the fraction of leaf area above a desired height would be an unbiased estimator of same. This was confirmed in 36 (20 × 20 m) pl
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Setter, TL, EA Conocono, and JA Egdane. "Possibility of Increasing Yield Potential of Rice by Reducing Panicle Height in the Canopy. II. Canopy Photosynthesis and Yield of Isogenic Lines." Functional Plant Biology 23, no. 2 (1996): 161. http://dx.doi.org/10.1071/pp9960161.

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Reduced panicle height in a rice crop canopy may have beneficial effects of increasing yield potential through reduced shading of leaves leading to greater canopy photosynthesis. Effects of different panicle height in the canopy were evaluated in glasshouse and field experiments using isogenic lines with elongated upper internodes (EUI lines) from two cultivars. Isogenic lines of IR36 and IR50 with elongated upper internodes (IR36EUI and IR50EUI) had panicle heights at the top of the canopy of 96-100% of canopy height, while lines with low panicle heights had panicles which were 74 and 82% of
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Zhu, Xiaoxiao, Sheng Nie, Yamin Zhu, Yiming Chen, Bo Yang, and Wang Li. "Evaluation and Comparison of ICESat-2 and GEDI Data for Terrain and Canopy Height Retrievals in Short-Stature Vegetation." Remote Sensing 15, no. 20 (2023): 4969. http://dx.doi.org/10.3390/rs15204969.

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Two space-borne light detection and ranging (LiDAR) missions, Global Ecosystem Dynamics Investigation (GEDI) and Ice, Cloud, and land Elevation Satellite-2 (ICESat-2), have demonstrated high capabilities in extracting terrain and canopy heights in forest environments. However, there have been limited studies evaluating their performance for terrain and canopy height retrievals in short-stature vegetation. This study utilizes airborne LiDAR data to validate and compare the accuracies of terrain and canopy height retrievals for short-stature vegetation using the latest versions of ICESat-2 (Vers
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Wang, Cangjiao, Andrew J. Elmore, Izaya Numata, et al. "A Framework for Improving Wall-to-Wall Canopy Height Mapping by Integrating GEDI LiDAR." Remote Sensing 14, no. 15 (2022): 3618. http://dx.doi.org/10.3390/rs14153618.

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Spatially continuous canopy height is a vital input for modeling forest structures and functioning. The global ecosystem dynamics investigation (GEDI) waveform can penetrate a canopy to precisely find the ground and measure canopy height, but it is spatially discontinuous over the earth’s surface. A common method to achieve wall-to-wall canopy height mapping is to integrate a set of field-measured canopy heights and spectral bands from optical and/or microwave remote sensing data as ancillary information. However, due partly to the saturation of spectral reflectance to canopy height, the produ
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Alvites, Cesar, Hannah O’Sullivan, Saverio Francini, et al. "High-Resolution Canopy Height Mapping: Integrating NASA’s Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data." Remote Sensing 16, no. 7 (2024): 1281. http://dx.doi.org/10.3390/rs16071281.

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Accurate structural information about forests, including canopy heights and diameters, is crucial for quantifying tree volume, biomass, and carbon stocks, enabling effective forest ecosystem management, particularly in response to changing environmental conditions. Since late 2018, NASA’s Global Ecosystem Dynamics Investigation (GEDI) mission has monitored global canopy structure using a satellite Light Detection and Ranging (LiDAR) instrument. While GEDI has collected billions of LiDAR shots across a near-global range (between 51.6°N and >51.6°S), their spatial distribution remains dispers
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Ghosh, Sujit Madhab, Mukunda Dev Behera, and Somnath Paramanik. "Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest." Remote Sensing 12, no. 9 (2020): 1519. http://dx.doi.org/10.3390/rs12091519.

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Canopy height serves as a good indicator of forest carbon content. Remote sensing-based direct estimations of canopy height are usually based on Light Detection and Ranging (LiDAR) or Synthetic Aperture Radar (SAR) interferometric data. LiDAR data is scarcely available for the Indian tropics, while Interferometric SAR data from commercial satellites are costly. High temporal decorrelation makes freely available Sentinel-1 interferometric data mostly unsuitable for tropical forests. Alternatively, other remote sensing and biophysical parameters have shown good correlation with forest canopy hei
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Dissertations / Theses on the topic "Canopy height"

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Lee, Alex C., and alexanderlee@aapt net au. "Utilising airborne scanning laser (LiDAR) to improve the assessment of Australian native forest structure." The Australian National University. Fenner School of Environment and Society, 2008. http://thesis.anu.edu.au./public/adt-ANU20090127.222600.

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Enhanced understanding of forest stocks and dynamics can be gained through improved forest measurement, which is required to assist with sustainable forest management decisions, meet Australian and international reporting needs, and improve research efforts to better respond to a changing climate. Integrated sampling schemes that utilise a multi-scale approach, with a range of data sourced from both field and remote sensing, have been identified as a way to generate the required forest information. Given the multi-scale approach proposed by these schemes, it is important to understand how sc
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Joetzjer, E., M. Pillet, P. Ciais, et al. "Assimilating satellite-based canopy height within an ecosystem model to estimate aboveground forest biomass." AMER GEOPHYSICAL UNION, 2017. http://hdl.handle.net/10150/625358.

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Despite advances in Earth observation and modeling, estimating tropical biomass remains a challenge. Recent work suggests that integrating satellite measurements of canopy height within ecosystem models is a promising approach to infer biomass. We tested the feasibility of this approach to retrieve aboveground biomass (AGB) at three tropical forest sites by assimilating remotely sensed canopy height derived from a texture analysis algorithm applied to the high-resolution Pleiades imager in the Organizing Carbon and Hydrology in Dynamic Ecosystems Canopy (ORCHIDEE-CAN) ecosystem model. While me
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Parker, Gary. "Comparison of IKONOS Derived Vegetation Index and LiDAR Derived Canopy Height Model for Grassland Management." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12179/.

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Forest encroachment is understood to be the main reason for prairie grassland decline across the United States. In Texas and Oklahoma, juniper has been highlighted as particularly opportunistic. This study assesses the usefulness of three remote sensing techniques to aid in locating the areas of juniper encroachment for the LBJ Grasslands in Decatur, Texas. An object based classification was performed in eCognition and final accuracy assessments placed the overall accuracy at 94%, a significant improvement over traditional pixel based methods. Image biomass was estimated using normalized diffe
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Parker, Gary Dong Pinliang. "Comparison of IKONOS derived vegetation index and LiDar derived canopy height model for grassland management." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12179.

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Popescu, Sorin Cristian. "Estimating Plot-Level Forest Biophysical Parameters Using Small-Footprint Airborne Lidar Measurements." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/27109.

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The main study objective was to develop robust processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating forest biophysical parameters measuring individual trees identifiable on the three-dimensional lidar surface. This study derived the digital terrain model from lidar data using an iterative slope-based algorithm and developed processing methods for directly measuring tree height, crown diameter, and stand density. The lidar system used for this study recorded up to four returns per pulse, with an average footprint of 0.65 m and an average distance
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Ritz, Alison. "Assessing the utility of NAIP digital aerial photogrammetric point clouds for estimating canopy height of managed loblolly pine plantations in the southeastern United States." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104108.

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Remote sensing offers many advantages to previous forest measurements, such as limiting costs and time in the field. Light detection and ranging (lidar) has been shown to enable accurate estimates of forest height. Lidar does produce precise measurements for ground elevation and forest height, where and when it is available. However, it is expensive to collect and does not have wall-to-wall coverage in the United States. In this study, we estimated height using the National Agricultural Imagery Program (NAIP) photogrammetric point clouds to create a predicted height map for managed loblolly pi
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Silva, Liliane Severino da. "Tiller population density and demography dynamics of Convert HD 364 brachiariagrass in response to canopy height and growth rate under continuous stocking." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/11/11139/tde-13112015-110013/.

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Pasture-based livestock production is one of the major economic activities in Brazil. In general, the adoption of new forage materials by producers happens before enough information about their characteristics is generated, compromising their use in commercial systems. An experiment was conducted in Piracicaba, Brazil (22º42\' S, 47º30\' W, 580 m asl.), during two summer growing seasons, with the objective to describe and explain the tillering dynamics of the hybrid brachiariagrass Convert HD 364 (Brachiaria hybrid CIAT 36087) under continuous stocking and variable stocking rate. Responses stu
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Fonseca, Lidiane. "Metas de manejo para sorgo forrageiro baseadas em estruturas de pasto que maximizem a taxa de ingestão." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/72791.

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O presente trabalho foi conduzido na EEA/UFRGS entre dezembro de 2009 e abril de 2010, e constituído por dois experimentos. Os tratamentos do experimento 1 (determinação da altura de entrada) consistiram de seis alturas de pasto (30, 40, 50, 60, 70 e 80 cm). No experimento 2 foram determinados níveis de rebaixamento do pasto em função da altura de entrada definida no experimento 1, sendo os tratamentos referentes a 16, 33, 50, 67 e 84% de rebaixamento da altura pré-pastejo O delineamento utilizado, em ambos os experimentos, foi o de blocos completos casualizados, com duas repetições no experim
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Holmgren, Johan. "Estimation of forest variables using airborne laser scanning /." Umeå : Dept. of Forest Resource Management and Geomatics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s278.pdf.

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Teodoro, Maria Salomé Rezende. "Características produtivas e bromatológicas dos capins marandu e mulato II." Universidade Federal de Goiás, 2011. http://repositorio.bc.ufg.br/tede/handle/tede/3121.

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Submitted by Jaqueline Silva (jtas29@gmail.com) on 2014-09-22T20:48:48Z No. of bitstreams: 2 Teodoro, Maria Salomé-2011-dissertação.pdf: 3959077 bytes, checksum: 4e058e174558797fb422766071c2771f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)<br>Approved for entry into archive by Jaqueline Silva (jtas29@gmail.com) on 2014-09-22T20:51:17Z (GMT) No. of bitstreams: 2 Teodoro, Maria Salomé-2011-dissertação.pdf: 3959077 bytes, checksum: 4e058e174558797fb422766071c2771f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)<br>Made avai
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Books on the topic "Canopy height"

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Hawksworth, F. G. Vertical spread of dwarf mistletoe in thinned ponderosa pine in Arizona. 1985.

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Lindenmayer, David, Mason Crane, Damian Michael, and Esther Beaton. Woodlands. CSIRO Publishing, 2005. http://dx.doi.org/10.1071/9780643093164.

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Australia's little known woodlands once covered huge areas of the eastern side of our continent. Woodlands are distinguished from forests by the fact that their canopies do not touch, tree heights are usually lower and they usually have a grassy understorey. They support a fascinating and diverse array of birds, mammals, reptiles, frogs, invertebrates and plants, and have been under massive pressure from grazing and agriculture over the past 200 years. In many cases only small remnant patches of some types of woodland survive. Understanding and appreciating woodlands is an important way forwar
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Chich, Cécile. A Major Contribution to Feminist Film History. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252039683.003.0009.

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This chapter examines the centrality of the work of artistic duo Maria Klonaris and Katerina Thomadaki to the project of writing a feminist women's film history by focusing on the aesthetic and conceptual choices they made and on their thought-provoking contributions to feminist film practice. In particular, it considers Klonaris and Thomadaki's Cinéma corporel (Cinema of the Body). The chapter suggests that the female avant-garde film has, paradoxically, been marginalized by feminist film theory's focus on mainstream cinema as a site of patriarchal representation and spectatorship. It shows t
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Book chapters on the topic "Canopy height"

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Rege Cambrin, Daniele, Isaac Corley, and Paolo Garza. "Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-92387-6_5.

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St-Onge, Benoît, Paul Treitz, and Michael A. Wulder. "Tree and Canopy Height Estimation with Scanning Lidar." In Remote Sensing of Forest Environments. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0306-4_19.

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Gilbert Rozario, S., and V. Vasanthi. "Ultrasonic Sensor-based Canopy Height Measurement and Root Depth Estimation." In Proceedings of Third International Conference on Communication, Computing and Electronics Systems. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8862-1_72.

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Alagialoglou, Leonidas, Ioannis Manakos, Marco Heurich, Jaroslav Červenka, and Anastasios Delopoulos. "Canopy Height Estimation from Spaceborne Imagery Using Convolutional Encoder-Decoder." In MultiMedia Modeling. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67835-7_26.

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Joseph, Tarun, Mukunda Dev Behera, P. Tripathi, and Bikash Ranjan Parida. "Effect of Terrain Slope in Canopy Height Estimate Using LiDAR Data." In Handbook of Himalayan Ecosystems and Sustainability, Volume 1. CRC Press, 2022. http://dx.doi.org/10.1201/9781003268383-8.

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Kamusoko, Courage. "Modeling Forest Canopy Height Using Earth Observation (EO) Data and Machine Learning Models." In Explainable Machine Learning for Geospatial Data Analysis. CRC Press, 2024. http://dx.doi.org/10.1201/9781003398257-10.

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Ghiani, Luca, Alberto Sassu, Vanessa Lozano, Giuseppe Brundu, Davide Piccirilli, and Filippo Gambella. "Use of UAVs and Canopy Height Model Applied on a Time Scale in the Vineyard." In Lecture Notes in Civil Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39299-4_90.

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Singha, Chiranjit, and Satiprasad Sahoo. "Predicting Forest Canopy Height Using GEDI LiDAR Based Machine Learning Technique Over Similipal Biosphere, India." In Smart Sensors, Measurement and Instrumentation. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68602-3_18.

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Zhang, Guoping, Shuai Xing, Qing Xu, et al. "A Ground Elevation and Canopy Height Retrieval Framework with ICESat-2 Photon-Counting LiDAR Data." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1428-9_81.

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Omasa, Kenji, and Fumiki Hosoi. "3-D remote sensing of woody canopy height and carbon stocks by helicopter-borne scanning lidar." In Plant Responses to Air Pollution and Global Change. Springer Japan, 2005. http://dx.doi.org/10.1007/4-431-31014-2_25.

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Conference papers on the topic "Canopy height"

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Wei, Ruyi, Zhichao Deng, Siting Xiong, Bochen Zhang, and Qingquan Li. "Forest Canopy Height Estimation based on InSAR Coherence." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640495.

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da Silva, Ademir Ferreira, Maciel Zortea, Julian Kuehnert, et al. "Geospatial Foundational Model for Canopy Height Estimates Across Kenya’s Ecoregions." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640630.

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Lahssini, Kamel, Nicolas Baghdadi, Guerric Le Maire, Stéphane Dupuy, and Ibrahim Fayad. "Investigating the Influence of GEDI Vegetation Penetration on Canopy Height Estimation." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642444.

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Quirita, Paola Edith Ayma, Abdigal Gabriel Camargo Barra, Laura Milena Parra Navarro, et al. "Canopy Height Estimation in Brazilian Amazon using Multisource Remote Sensing Datasets." In 2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2024. https://doi.org/10.1109/la-cci62337.2024.10814800.

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Ranjan, Rajiv, Anit Upadhyaya, Dinesh Kumar, and Shashank Tamaskar. "Yield Forecasting Of Sugarcane Using Machine Learning And UAV-Derived Canopy Height." In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS). IEEE, 2024. https://doi.org/10.1109/ingarss61818.2024.10984153.

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Noureddine, Benhalima, Ouarzeddine Mounira, Souissi Boularbah, and Bengusmia Djamal. "Machine Learning-Based Forest Canopy Height Modeling with Multi-Sensor and GEDI Data." In 2024 4th International Conference on Embedded & Distributed Systems (EDiS). IEEE, 2024. https://doi.org/10.1109/edis63605.2024.10783293.

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Ren, Zhaotong, Huazhou Wei, Yuecan LI, Xin Lai, Runlian Huang, and Haotian You. "Study on forest canopy height estimation based on multisource data synergy of GEDI L2A." In International Conference on Remote Sensing Technology and Image Processing (RSTIP 2024), edited by Nilanchal Patel and Johan Debayle. SPIE, 2025. https://doi.org/10.1117/12.3065263.

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Bhogapurapu, Narayanarao, Paul Siqueira, John Armston, Mikhail Urbazaev, Konrad Wessels, and Laura Duncanson. "Canopy Height Estimation Using C- and L-Band Insar Coherence Over Savannas and Dry Forests." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640881.

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Doyog, Nova D., Chinsu Lin, and Keng-Hao Liu. "Integrating Sentinel-1&2 and Icesat-2 Data for Forest Canopy Height Estimation and Mapping." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640956.

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Alagialoglou, Leonidas, Ioannis Manakos, Olga Brovkina, Jan Novotný, and Anastasios Delopoulos. "Assessment of Fine-Tuned Canopy Height Maps from Satellite Imagery: A Case Study in the Czech Republic." In 11th International Conference on Geographical Information Systems Theory, Applications and Management. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013475200003935.

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Reports on the topic "Canopy height"

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Abolt, Charles. Predicting canopy height from commercial satellite imagery. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1871470.

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Toutin, Th, and S. Amaral. Stereo RADARSAT data for canopy height in Brazilian forests. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219623.

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Saltus, Christina, and Eric Britzke. Literature review : macrohabitat metrics to identify presence of chiroptera on the landscape in the United States. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45523.

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This special report reviews current scientific literature to identify the most commonly cited metrics used to describe the macrohabitat criteria important for Chiroptera presence in the United States. The review evaluates 69 scientific articles from 1994 to 2018. The most commonly cited metrics were divided into four main categories: tree-species-level metrics, landscape-level metrics, distance metrics, and topographic and atmospheric metrics. Of all metrics found, the top six most common metrics noted across all articles were percent canopy cover, diameter at breast height (DBH), forest type,
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Blundell, S. Tutorial : the DEM Breakline and Differencing Analysis Tool—step-by-step workflows and procedures for effective gridded DEM analysis. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46085.

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The DEM Breakline and Differencing Analysis Tool is the result of a multi-year research effort in the analysis of digital elevation models (DEMs) and the extraction of features associated with breaklines identified on the DEM by numerical analysis. Developed in the ENVI/IDL image processing application, the tool is designed to serve as an aid to research in the investigation of DEMs by taking advantage of local variation in the height. A set of specific workflow exercises is described as applied to a diverse set of four sample DEMs. These workflows instruct the user in applying the tool to ext
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Tanny, Josef, Gabriel Katul, Shabtai Cohen, and Meir Teitel. Micrometeorological methods for inferring whole canopy evapotranspiration in large agricultural structures: measurements and modeling. United States Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7594402.bard.

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Original objectives and revisions The original objectives as stated in the approved proposal were: (1) To establish guidelines for the use of micrometeorological techniques as accurate, reliable and low-cost tools for continuous monitoring of whole canopy ET of common crops grown in large agricultural structures. (2) To adapt existing methods for protected cultivation environments. (3) To combine previously derived theoretical models of air flow and scalar fluxes in large agricultural structures (an outcome of our previous BARD project) with ET data derived from application of turbulent transp
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Peitz, David, and Tani Hubbard. Bird monitoring at Effigy Mounds National Monument, Iowa: Status report 2009?2022. National Park Service, 2024. http://dx.doi.org/10.36967/2303731.

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In 2009, the Heartland Inventory and Monitoring Network initiated bird surveys on Effigy Mounds National Monument to monitor changes in bird community composition and abundance and improve our understanding of relationships between breeding birds and their habitat and the effects of management actions on those relationships. This information helps park staff plan management objectives and assess the effectiveness of management alternatives. We evaluated park breeding bird trends in the context of trends observed within the North American Bird Conservation Initiative?s Prairie Hardwood Transiti
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Peitz, David, and Tani Hubbard. Bird monitoring at Pipestone National Monument, Minnesota: Status report 2009?2022. National Park Service, 2024. http://dx.doi.org/10.36967/2303740.

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In 2009, the Heartland Inventory and Monitoring Network initiated bird surveys on Pipestone National Monument to monitor changes in bird community composition and abundance and improve our understanding of relationships between breeding birds and their habitat and the effects of management actions on those relationships. This information helps park staff plan management objectives and assess the effectiveness of management alternatives. We evaluated park breeding bird trends in the context of trends observed within the North American Bird Conservation Initiative?s Prairie Potholes Bird Conserv
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Peitz, David, and Tani Hubbard. Bird monitoring at Herbert Hoover National Historic Site, Iowa: Status report 2005?2022. National Park Service, 2024. http://dx.doi.org/10.36967/2303787.

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In 2005, the Heartland Inventory and Monitoring Network initiated bird surveys on Herbert Hoover National Historic Site to monitor changes in bird community composition and abundance and improve our understanding of relationships between breeding birds and their habitat and the effects of management actions on those relationships. This information helps park staff plan management objectives and assess the effectiveness of management alternatives. We evaluated park breeding bird trends in the context of trends observed within the North American Bird Conservation Initiative?s Eastern Tallgrass P
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Peitz, David, and Tani Hubbard. Bird monitoring at Homestead National Historical Park, Nebraska: Status report 2009?2022. National Park Service, 2024. http://dx.doi.org/10.36967/2303805.

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In 2009, the Heartland Inventory and Monitoring Network initiated bird surveys on Homestead National Historical Park to monitor changes in bird community composition and abundance and improve our understanding of relationships between breeding birds and their habitat and the effects of management actions on those relationships. This information helps park staff plan management objectives and assess the effectiveness of management alternatives. We evaluated park breeding bird trends in the context of trends observed within the North American Bird Conservation Initiative?s Central Mixed Grass Pr
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Boyle, Maxwell. Terrestrial vegetation monitoring at Canaveral National Seashore: 2022 data summary. National Park Service, 2024. http://dx.doi.org/10.36967/2303291.

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The Southeast Coast Network (SECN) conducts long-term terrestrial vegetation monitoring as part of the NPS Inventory and Monitoring Program. The vegetation community vital sign is one of the primary-tier resources identified by SECN park managers, and monitoring is conducted at 15 network parks (DeVivo et al. 2008). Monitoring plants and their associated communities over time allows for targeted understanding of ecosystems within the SECN geography, which provides managers information about the degree of change within their parks? natural vegetation. 2022 marked the first year of conducting th
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