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Journal articles on the topic 'Canopy height'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

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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2

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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3

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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6

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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7

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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8

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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9

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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11

Jing, Linlong, Xinhua Wei, Qi Song, and Fei Wang. "Research on Estimating Rice Canopy Height and LAI Based on LiDAR Data." Sensors 23, no. 19 (2023): 8334. http://dx.doi.org/10.3390/s23198334.

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Rice canopy height and density are directly usable crop phenotypic traits for the direct estimation of crop biomass. Therefore, it is crucial to rapidly and accurately estimate these phenotypic parameters. To achieve the non-destructive detection and estimation of these essential parameters in rice, a platform based on LiDAR (Light Detection and Ranging) point cloud data for rice phenotypic parameter detection was established. Data collection of rice canopy layers was performed across multiple plots. The LiDAR-detected canopy-top point clouds were selected using a method based on the highest p

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12

Xi, Zhilong, Huadong Xu, Yanqiu Xing, Weishu Gong, Guizhen Chen, and Shuhang Yang. "Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods." Remote Sensing 14, no. 2 (2022): 364. http://dx.doi.org/10.3390/rs14020364.

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Spaceborne LiDAR has been widely used to obtain forest canopy heights over large areas, but it is still a challenge to obtain spatio-continuous forest canopy heights with this technology. In order to make up for this deficiency and take advantage of the complementary for multi-source remote sensing data in forest canopy height mapping, a new method to estimate forest canopy height was proposed by synergizing the spaceborne LiDAR (ICESat-2) data, Synthetic Aperture Radar (SAR) data, multi-spectral images, and topographic data considering forest types. In this study, National Geographical Condit

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13

Liu, Mingbo, Chunxiang Cao, Wei Chen, and Xuejun Wang. "Mapping Canopy Heights of Poplar Plantations in Plain Areas Using ZY3-02 Stereo and Multispectral Data." ISPRS International Journal of Geo-Information 8, no. 3 (2019): 106. http://dx.doi.org/10.3390/ijgi8030106.

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Forest canopy height plays an important role in forest management and ecosystem modeling. There are a variety of techniques employed to map forest height using remote sensing data but it is still necessary to explore the use of new data and methods. In this study, we demonstrate an approach for mapping canopy heights of poplar plantations in plain areas through a combination of stereo and multispectral data from China’s latest civilian stereo mapping satellite ZY3-02. First, a digital surface model (DSM) was extracted using photogrammetry methods. Then, canopy samples and ground samples were s

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14

Tiwari, Kasip, and Lana L. Narine. "A Comparison of Machine Learning and Geostatistical Approaches for Mapping Forest Canopy Height over the Southeastern US Using ICESat-2." Remote Sensing 14, no. 22 (2022): 5651. http://dx.doi.org/10.3390/rs14225651.

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The availability of canopy height information in the Ice, Cloud, and Land Elevation Satellite-2’s (ICESat-2’s) land and vegetation product, or ATL08, presents opportunities for developing full-coverage products over broad spatial scales. The primary goal of this study was to develop a 30-meter canopy height map over the southeastern US, for the Southeastern Plains ecoregion and the Middle Atlantic Coastal Plains ecoregion. More specifically, this work served to compare well-known modeling approaches for upscaling canopy information from ATL08 to develop a wall-to-wall product. Focusing on only

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15

Goldbergs, Grigorijs. "Impact of Base-to-Height Ratio on Canopy Height Estimation Accuracy of Hemiboreal Forest Tree Species by Using Satellite and Airborne Stereo Imagery." Remote Sensing 13, no. 15 (2021): 2941. http://dx.doi.org/10.3390/rs13152941.

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The present study assessed the large-format airborne (UltraCam) and satellite (GeoEye1 and Pleiades1B) image-based digital surface model (DSM) performance for canopy height estimation in predominantly mature, closed-canopy Latvian hemiboreal forestland. The research performed the direct comparison of calculated image-based DSM models with canopy peaks heights extracted from reference LiDAR data. The study confirmed the tendency for canopy height underestimation for all satellite-based models. The obtained accuracy of the canopy height estimation GeoEye1-based models varied as follows: for a pi

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16

Nelson, Ross F., Timothy G. Gregoire, and Richard G. Oderwald. "The Effects of Fixed-Area Plot Width on Forest Canopy Height Simulation." Forest Science 44, no. 3 (1998): 438–44. http://dx.doi.org/10.1093/forestscience/44.3.438.

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Abstract Mapped-stand data which includes tree location and mensuration data may be used to simulate the height characteristics of a forest canopy in a computer. The dimensions of the rectangular, fixed-area ground plot which is used to collect the tree location and mensuration data can profoundly affect the accuracy of the resultant computer reconstruction of forest canopy heights. Thin fixed-area plots result in forest canopy height constructs (i.e., canopy height models, or CHMs) which are shorter and less dense than the actual forest stand. Ninety-nine 0.405 ha forest stands in the southea

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17

Zhou, Xiaocheng, Youzhuang Hao, Liping Di, et al. "Improving GEDI Forest Canopy Height Products by Considering the Stand Age Factor Derived from Time-Series Remote Sensing Images: A Case Study in Fujian, China." Remote Sensing 15, no. 2 (2023): 467. http://dx.doi.org/10.3390/rs15020467.

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Forest canopy height plays an important role in forest resource management and conservation. The accurate estimation of forest canopy height on a large scale is important for forest carbon stock, biodiversity, and the carbon cycle. With the technological development of satellite-based LiDAR, it is possible to determine forest canopy height over a large area. However, the forest canopy height that is acquired by this technology is influenced by topography and climate, and the canopy height that is acquired in complex subtropical mountainous regions has large errors. In this paper, we propose a

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18

Li, Bin, Tianzhong Zhao, Xiaohui Su, et al. "Correction of Terrain Effects on Forest Canopy Height Estimation Using ICESat-2 and High Spatial Resolution Images." Remote Sensing 14, no. 18 (2022): 4453. http://dx.doi.org/10.3390/rs14184453.

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The Ice, Cloud, and Land Elevation Satellite–2 (ICESat–2) carries the Advanced Topographic Laser Altimeter System (ATLAS), enabling global canopy height measurements from forest canopy height models (CHMs). Topographic slope is a crucial factor affecting the accuracy of canopy height estimates from ICESat–2 CHMs, but it has not been sufficiently studied. This paper aims to eliminate the influence of slope on canopy height estimates from ICESat–2 data and establishes a method for correcting forest canopy heights based on high spatial resolution digital orthophoto maps (DOM). The cross-track pho

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19

Adam, Markus, Mikhail Urbazaev, Clémence Dubois, and Christiane Schmullius. "Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters." Remote Sensing 12, no. 23 (2020): 3948. http://dx.doi.org/10.3390/rs12233948.

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Lidar remote sensing has proven to be a powerful tool for estimating ground elevation, canopy height, and additional vegetation parameters, which in turn are valuable information for the investigation of ecosystems. Spaceborne lidar systems, like the Global Ecosystem Dynamics Investigation (GEDI), can deliver these height estimates on a near global scale. This paper analyzes the accuracy of the first version of GEDI ground elevation and canopy height estimates in two study areas with temperate forests in the Free State of Thuringia, central Germany. Digital terrain and canopy height models der

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20

Ishii, Hiroaki, Joel H. Reynolds, E. David Ford, and David C. Shaw. "Height growth and vertical development of an old-growth Pseudotsuga-Tsuga forest in southwestern Washington State, U.S.A." Canadian Journal of Forest Research 30, no. 1 (2000): 17–24. http://dx.doi.org/10.1139/x99-180.

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A detailed analysis of diameter-height relationships was applied to an old-growth Pseudotsuga menziesii (Mirb.) Franco var. menziesii - Tsuga heterophylla (Raf.) Sarg. forest in southwestern Washington State, U.S.A., to predict future development of vertical stratification among tree species. Differences among species in relative abundance and size structure resulted in diameter-height regressions of varying certainty and stability. Damage and shading had negative impacts on predicted heights and estimates of maximum attainable height (Hmax) in all species. However, species varied as to the ma

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21

Bing, Qi, Ruirui Zhang, Linhuan Zhang, Longlong Li, and Liping Chen. "UAV-SfM Photogrammetry for Canopy Characterization Toward Unmanned Aerial Spraying Systems Precision Pesticide Application in an Orchard." Drones 9, no. 2 (2025): 151. https://doi.org/10.3390/drones9020151.

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The development of unmanned aerial spraying systems (UASSs) has significantly transformed pest and disease control methods of crop plants. Precisely adjusting pesticide application rates based on the target conditions is an effective method to improve pesticide use efficiency. In orchard spraying, the structural characteristics of the canopy are crucial for guiding the pesticide application system to adjust spraying parameters. This study selected mango trees as the research sample and evaluated the differences between UAV aerial photography with a Structure from Motion (SfM) algorithm and air

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Pimenova, Olga, Craig Roberts, and Chris Rizos. "Regional “Bare-Earth” Digital Terrain Model for Costa Rica Based on NASADEM Corrected for Vegetation Bias." Remote Sensing 14, no. 10 (2022): 2421. http://dx.doi.org/10.3390/rs14102421.

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A large percentage of the Costa Rican territory is covered with high evergreen forests. In order to compute a 1″ Bare-Earth Digital Terrain Model (DTM) for Costa Rica CRDTM2020, stochastic Vegetation Bias (VB) was reduced from the 1″ NASADEM, Digital Elevation Model (DEM) based on the Shuttle Radar Topography Mission (SRTM) data. Several global models such as: canopy heights from the Global Forest Canopy Height 2019 model, canopy heights for the year 2000 from the Forest Canopy Height Map, and canopy density from the Global Forest Change model 2000 to 2019, were used to represent the vegetatio

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23

Lahssini, Kamel, Nicolas Baghdadi, Guerric le Maire, and Ibrahim Fayad. "Influence of GEDI Acquisition and Processing Parameters on Canopy Height Estimates over Tropical Forests." Remote Sensing 14, no. 24 (2022): 6264. http://dx.doi.org/10.3390/rs14246264.

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LiDAR technology has been widely used to characterize structural parameters of forest ecosystems, which in turn are valuable information for forest monitoring. GEDI is a spaceborne LiDAR system specifically designed to measure vegetation’s vertical structure, and it has been acquiring waveforms on a global scale since April 2019. In particular, canopy height is an important descriptor of forest ecosystems, as it allows for quantifying biomass and other inventory information. This paper analyzes the accuracy of canopy height estimates from GEDI data over tropical forests in French Guiana and Ga

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Zhou, Longfei, Xiaohe Gu, Shu Cheng, Guijun Yang, Meiyan Shu, and Qian Sun. "Analysis of Plant Height Changes of Lodged Maize Using UAV-LiDAR Data." Agriculture 10, no. 5 (2020): 146. http://dx.doi.org/10.3390/agriculture10050146.

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Lodging stress seriously affects the yield, quality, and mechanical harvesting of maize, and is a major natural disaster causing maize yield reduction. The aim of this study was to obtain light detection and ranging (LiDAR) data of lodged maize using an unmanned aerial vehicle (UAV) equipped with a RIEGL VUX-1UAV sensor to analyze changes in the vertical structure of maize plants with different degrees of lodging, and thus to use plant height to quantitatively study maize lodging. Based on the UAV-LiDAR data, the height of the maize canopy was retrieved using a canopy height model to determine

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Sui, Ruixiu, and Jonnie Baggard. "Center-Pivot-Mounted Sensing System for Monitoring Plant Height and Canopy Temperature." Transactions of the ASABE 61, no. 3 (2018): 831–37. http://dx.doi.org/10.13031/trans.12506.

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Abstract. Easy-to-use data acquisition methods are required for variable-rate irrigation (VRI) decision support systems. Plant canopy temperature is related to plant water stress. Plant height is useful as an indicator of plant health conditions and can be used to estimate yield potential. Therefore, measurements of plant canopy temperature and plant height coupled with spatial information in the field can be used for determining VRI water application depths. A center-pivot-mounted wireless data acquisition (WDAQ) system was developed to collect plant canopy temperature and plant height data i

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Heiskanen, Janne, Hanna Haurinen, Chemuku Wekesa, and Petri Pellikka. "Repeat airborne laser scanning to assess canopy height changes in tropical montane forests." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-3-2024 (November 4, 2024): 179–85. http://dx.doi.org/10.5194/isprs-annals-x-3-2024-179-2024.

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Abstract. Tropical montane forests are vital ecosystems globally, preserving biodiversity, carbon stocks, and capturing moisture. We employed two airborne laser scanning (ALS) data sets to study changes in montane forest canopy heights in the Taita Hills, Kenya between 2014/2015 and 2022. We studied two forests, Ngangao (129 ha) and Yale (57 ha), which encompassed both indigenous montane forest and exotic plantations. First, forest types were mapped using field observations and aerial imagery, and then, canopy height changes were analysed using canopy height models at spatial resolution (i.e.

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Liu, Aobo, Yating Chen, and Xiao Cheng. "Improving Tropical Forest Canopy Height Mapping by Fusion of Sentinel-1/2 and Bias-Corrected ICESat-2–GEDI Data." Remote Sensing 17, no. 12 (2025): 1968. https://doi.org/10.3390/rs17121968.

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Accurately estimating the forest canopy height is essential for quantifying forest biomass and carbon storage. Recently, the ICESat-2 and GEDI spaceborne LiDAR missions have significantly advanced global canopy height mapping. However, due to inherent sensor limitations, their footprint-level estimates often show systematic bias. Tall forests tend to be underestimated, while short forests are often overestimated. To address this issue, we used coincident G-LiHT airborne LiDAR measurements to correct footprint-level canopy heights from both ICESat-2 and GEDI, aiming to improve the canopy height

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Gao, Qiong, and Mei Yu. "Canopy Density and Roughness Differentiate Resistance of a Tropical Dry Forest to Major Hurricane Damage." Remote Sensing 13, no. 12 (2021): 2262. http://dx.doi.org/10.3390/rs13122262.

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Tropical dry forest is vulnerable to increased climate variability with more frequent and severe storms. Studies of hurricane impact on tropical dry forest often focused on individual tree traits. How trees in tropical dry forests work together to combat wind damage is still unclear. To address this, we integrated ground-observed ecosystem structure from National Ecological Observation Network (NEON) with airborne-LiDAR images and analyzed resistance in forest structure of Guánica dry forest in Puerto Rico to major hurricanes in 2017 at the forest-stand level. Using each plot instead of the in

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Mocelin, Nemora Guliane, Daniel Schmitt, Guilherme Doneda Zanini, Pedro Antonio Garzón Camacho, and André Fischer Sbrissia. "Grazing Management Targets for Tangolagrass Pastures." Agriculture 12, no. 2 (2022): 279. http://dx.doi.org/10.3390/agriculture12020279.

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Tangolagrass (Brachiaria arrecta × Brachiaria mutica) is a stoloniferous warm-season grass considered as an alternative to forming permanent grasslands in waterlogged tropical regions. However, information about grazing management targets for such species is still scarce. This two-year study aimed to identify pre-grazing canopy heights that do not compromise both leaf lamina production and nutritive value of tangolagrass pastures, and to test whether lower canopy height could decrease stolon elongation process. To this end, three pre-grazing canopy heights (20, 30, or 40 cm, all lowered in 40%

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Liu, Qingwang, Liyong Fu, Qiao Chen, et al. "Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry." Remote Sensing 12, no. 18 (2020): 2884. http://dx.doi.org/10.3390/rs12182884.

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Forest canopy height is one of the most important spatial characteristics for forest resource inventories and forest ecosystem modeling. Light detection and ranging (LiDAR) can be used to accurately detect canopy surface and terrain information from the backscattering signals of laser pulses, while photogrammetry tends to accurately depict the canopy surface envelope. The spatial differences between the canopy surfaces estimated by LiDAR and photogrammetry have not been investigated in depth. Thus, this study aims to assess LiDAR and photogrammetry point clouds and analyze the spatial differen

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Maurer, K. D., G. Bohrer, W. T. Kenny, and V. Y. Ivanov. "Large-eddy simulations of surface roughness parameter sensitivity to canopy-structure characteristics." Biogeosciences 12, no. 8 (2015): 2533–48. http://dx.doi.org/10.5194/bg-12-2533-2015.

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Abstract. Surface roughness parameters, namely the roughness length and displacement height, are an integral input used to model surface fluxes. However, most models assume these parameters to be a fixed property of plant functional type and disregard the governing structural heterogeneity and dynamics. In this study, we use large-eddy simulations to explore, in silico, the effects of canopy-structure characteristics on surface roughness parameters. We performed a virtual experiment to test the sensitivity of resolved surface roughness to four axes of canopy structure: (1) leaf area index, (2)

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Sheffield, S. Tucker, Joe Dvorak, Bo Smith, Cynthia Arnold, and Cameron Minch. "Using LiDAR to Measure Alfalfa Canopy Height." Transactions of the ASABE 64, no. 6 (2021): 1755–61. http://dx.doi.org/10.13031/trans.14492.

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HighlightsModels using LiDAR measurements and field observations as predictors can accurately predict alfalfa canopy height.The most efficient model used only the 95th percentile of LiDAR-measured height to estimate canopy height.Adding field observations of weed, insect, and disease pressure only marginally improved the predictive models.Abstract. Alfalfa is a popular crop that is grown worldwide because it is a nutritious feed for livestock and fixes nitrogen in the soil. Profitable alfalfa production greatly relies on monitoring the status of the alfalfa crop. Traditionally, producers have

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Tsao, Angela, Ikenna Nzewi, Ayodeji Jayeoba, Uzoma Ayogu, and David B. Lobell. "Canopy Height Mapping for Plantations in Nigeria Using GEDI, Landsat, and Sentinel-2." Remote Sensing 15, no. 21 (2023): 5162. http://dx.doi.org/10.3390/rs15215162.

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Canopy height data from the Global Ecosystem Dynamics Investigation (GEDI) mission has powered the development of global forest height products, but these data and products have not been validated in non-forest tree plantation settings. In this study, we collected field observations of the canopy heights throughout oil palm plantations in Nigeria and evaluated the performance of existing global canopy height map (CHM) products as well as a local model trained on the GEDI and various Landsat and Sentinel-2 feature combinations. We found that existing CHMs fared poorly in the region, with mean a

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Zhang, Xiang, Yuhai Bao, Dongliang Wang, et al. "Using UAV LiDAR to Extract Vegetation Parameters of Inner Mongolian Grassland." Remote Sensing 13, no. 4 (2021): 656. http://dx.doi.org/10.3390/rs13040656.

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The accurate estimation of grassland vegetation parameters at a high spatial resolution is important for the sustainable management of grassland areas. Unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) sensors with a single laser beam emission capability can rapidly detect grassland vegetation parameters, such as canopy height, fractional vegetation coverage (FVC) and aboveground biomass (AGB). However, there have been few reports on the ability to detect grassland vegetation parameters based on RIEGL VUX-1 UAV LiDAR (Riegl VUX-1) systems. In this paper, we investigated the abi

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Clark, David B., Deborah A. Clark, Paul M. Rich, Stuart Weiss, and Steven F. Oberbauer. "Landscape-scale evaluation of understory light and canopy structures: methods and application in a neotropical lowland rain forest." Canadian Journal of Forest Research 26, no. 5 (1996): 747–57. http://dx.doi.org/10.1139/x26-084.

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Light is a key resource controlling tree regeneration in the understory of closed-canopy old-growth forests. To evaluate the distribution of understory light environments at a landscape scale, we used stratified random sampling in a 500-ha stand of Costa Rican tropical rain forest. Fifteen 100 m long transects were placed using random coordinates within two soil–geomorphology units (flat alluvial terraces and dissected ridge-slope-swale terrain). At 2.5-m intervals we measured canopy height and slope angle, classified topographic position, and took canopy photographs with a fish-eye lens at 1

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Luo, Yichen, Shuhua Qi, Kaitao Liao, Shaoyu Zhang, Bisong Hu, and Ye Tian. "Mapping the Forest Height by Fusion of ICESat-2 and Multi-Source Remote Sensing Imagery and Topographic Information: A Case Study in Jiangxi Province, China." Forests 14, no. 3 (2023): 454. http://dx.doi.org/10.3390/f14030454.

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Forest canopy height is defined as the distance between the highest point of the tree canopy and the ground, which is considered to be a key factor in calculating above-ground biomass, leaf area index, and carbon stock. Large-scale forest canopy height monitoring can provide scientific information on deforestation and forest degradation to policymakers. The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was launched in 2018, with the Advanced Topographic Laser Altimeter System (ATLAS) instrument taking on the task of mapping and transmitting data as a photon-counting LiDAR, which offers

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Shaik, Riyaaz Uddien, Sriram Babu Jallu, and Katarina Doctor. "Unveiling Temperature Patterns in Tree Canopies across Diverse Heights and Types." Remote Sensing 15, no. 8 (2023): 2080. http://dx.doi.org/10.3390/rs15082080.

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Forests are some of the major ecosystems that help in mitigating the effects of climate change. Understanding the relation between the surface temperatures of different vegetation and trees and their heights is very crucial in understanding events such as wildfires. In this work, relationships between tree canopy temperature and canopy height with respect to vegetation types were extracted. The southern part of Sardinia Island, which has dense forests and is often affected by wildfires, was selected as the region of interest. PRISMA hyperspectral imagery has been used to map all the available

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Andreu, Anne G., John I. Blake, and Stanley J. Zarnoch. "Estimating canopy fuel characteristics for predicting crown fire potential in common forest types of the Atlantic Coastal Plain, USA." International Journal of Wildland Fire 27, no. 11 (2018): 742. http://dx.doi.org/10.1071/wf18025.

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We computed four stand-level canopy stratum variables important for crown fire modelling – canopy cover, stand height, canopy base height and canopy bulk density – from forest inventory data. We modelled the relationship between the canopy variables and a set of common inventory parameters – site index, stem density, basal area, stand age or stand height – and number of prescribed burns. We used a logistic model to estimate canopy cover, a linear model to estimate the other canopy variables, and the information theoretic approach for model selection. Coefficients of determination across five f

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Mitchell, Dave L., Mariela Soto-Berelov, and Simon D. Jones. "Regional Variation in Forest Canopy Height and Implications for Koala (Phascolarctos cinereus) Habitat Mapping and Forest Management." Forests 12, no. 11 (2021): 1494. http://dx.doi.org/10.3390/f12111494.

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Previous research has shown that the Koala (Phascolarctos cinereus) prefers larger trees, potentially making this a key factor influencing koala habitat quality. Generally, tree height is considered at regional scales which may overlook variation at patch or local scales. In this study, we aimed to derive a set of parameters to assist in classifying koala habitat in terms of tree height, which can then be used as an overlay for existing habitat maps. To determine canopy height variation within a specific forest community across a broad area in eastern Australia, we used freely available Airbor

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Sothe, Camile, Alemu Gonsamo, Ricardo B. Lourenço, Werner A. Kurz, and James Snider. "Spatially Continuous Mapping of Forest Canopy Height in Canada by Combining GEDI and ICESat-2 with PALSAR and Sentinel." Remote Sensing 14, no. 20 (2022): 5158. http://dx.doi.org/10.3390/rs14205158.

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Continuous large-scale mapping of forest canopy height is crucial for estimating and reporting forest carbon content, analyzing forest degradation and restoration, or to model ecosystem variables such as aboveground biomass. Over the last years, the spaceborne Light Detection and Ranging (LiDAR) sensor specifically designed to acquire forest structure information, Global Ecosystem Dynamics Investigation (GEDI), has been used to extract forest canopy height information over large areas. Yet, GEDI has no spatial coverage for most forested areas in Canada and other high latitude regions. On the o

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Hyyppä, Juha, Xiaowei Yu, Teemu Hakala, et al. "Under-Canopy UAV Laser Scanning Providing Canopy Height and Stem Volume Accurately." Forests 12, no. 7 (2021): 856. http://dx.doi.org/10.3390/f12070856.

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The automation of forest field reference data collection has been an intensive research objective for laser scanning scientists ever since the invention of terrestrial laser scanning more than two decades ago. In this study, we demonstrated that an under-canopy UAV laser scanning system utilizing a rotating laser scanner can alone provide accurate estimates of canopy height and stem volume for the majority of trees in a boreal forest. We mounted a rotating laser scanner based on a Velodyne VLP-16 sensor onboard a manually piloted UAV. The UAV was commanded with the help of a live video feed fr

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Setter, TL, EA Conocono, JA Egdane, and MJ Kropff. "Possibility of Increasing Yield Potential of Rice by Reducing Panicle Height in the Canopy. I. Effects of Panicles on Light Interception and Canopy Photosynthesis." Functional Plant Biology 22, no. 3 (1995): 441. http://dx.doi.org/10.1071/pp9950441.

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A new rice (Oryza sativa L.) plant type is proposed which is aimed at greater light interception by the leaves during grain filling and reduced susceptibility to lodging. This plant type is based on lowering panicle height in the canopy so that leaves are able to intercept more radiation. Panicle height of four cultivars with high yield potential ranged from 80 to 95% of canopy height at 14 days after flowering (DAF). Harvested panicle area index of two of these which were two tropical cultivars amounted to 0.45-0.57 m2 m-2, while the leaves above the panicles intercepted only 4-12% incident r

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Hamed, A. M., M. J. Sadowski, H. M. Nepf, and L. P. Chamorro. "Impact of height heterogeneity on canopy turbulence." Journal of Fluid Mechanics 813 (January 27, 2017): 1176–96. http://dx.doi.org/10.1017/jfm.2017.22.

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The flow development above and within homogeneous and heterogeneous canopies was experimentally studied using particle image velocimetry in a refractive-index-matching channel. The experiments were designed to gain insight into the effect of height heterogeneity on the structure and spatial distribution of the turbulence. The homogeneous model (base case) is constituted of elements of height $h$ arranged in a staggered configuration; whereas the heterogeneous canopy resembled a row canopy and consisted of elements of two heights $h_{1}=h+(1/3)h$ and $h_{2}=h-(1/3)h$ alternated every two rows.

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Chou, Tsung-Chi, Xuan Zhu, and Ruth Reef. "Improving post-fire GEDI canopy height accuracy and canopy height mapping through convolutional neural network model." International Journal of Remote Sensing 45, no. 15 (2024): 5248–65. http://dx.doi.org/10.1080/01431161.2024.2373344.

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Gao, Qiong, and Mei Yu. "Elevation Regimes Modulated the Responses of Canopy Structure of Coastal Mangrove Forests to Hurricane Damage." Remote Sensing 14, no. 6 (2022): 1497. http://dx.doi.org/10.3390/rs14061497.

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Mangrove forests have unique ecosystem functions and services, yet the coastal mangroves in tropics are often disturbed by tropical cyclones. Hurricane Maria swept Puerto Rico and nearby Caribbean islands in September 2017 and caused tremendous damage to the coastal mangrove systems. Understanding the vulnerability and resistance of mangrove forests to disturbances is pivotal for future restoration and conservation. In this study, we used LiDAR point clouds to derive the canopy height of five major mangrove forests, including true mangroves and mangrove associates, along the coast of Puerto Ri

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Chen, Runbo, Xinchuang Wang, Xuejie Liu, and Shunzhong Wang. "Optimizing GEDI Canopy Height Estimation and Analyzing Error Impact Factors Under Highly Complex Terrain and High-Density Vegetation Conditions." Forests 15, no. 11 (2024): 2024. http://dx.doi.org/10.3390/f15112024.

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The Global Ecosystem Dynamics Investigation (GEDI) system provides essential data for estimating forest canopy height on a global scale. However, factors such as complex topography and dense canopy can significantly reduce the accuracy of GEDI canopy height estimations. We selected the South Taihang region of Henan Province, China, as our study area and proposed an optimization framework to improve GEDI canopy height estimation accuracy. This framework includes correcting geolocation errors in GEDI footprints, screening and analyzing features that affect estimation errors, and combining two re

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Kooyman, Robert M. "Traits and gradients influence the canopy position of small-statured rain forest trees." Australian Journal of Botany 60, no. 8 (2012): 735. http://dx.doi.org/10.1071/bt12195.

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Plant height determines a species’ position in the canopy and regulates access to light. Shifts in trait values for assemblages (plots) arrayed along abiotic gradients can reflect changes in species composition, and shifts in species trait values. Multivariate analysis was used to quantify the relationship of assemblage-level floristic composition to environmental gradients. Species trait values for maximum height, leaf area, seed size and wood density were quantified for woody species in the assemblage samples, and partitioned into within- and among-assemblage components to enable trait corre

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Pangle, Robert, Kathleen Kavanagh, and Remko Duursma. "Decline in canopy gas exchange with increasing tree height, atmospheric evaporative demand, and seasonal drought in co-occurring inland Pacific Northwest conifer species." Canadian Journal of Forest Research 45, no. 8 (2015): 1086–101. http://dx.doi.org/10.1139/cjfr-2014-0551.

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Interspecific variation in stomatal conductance (GS) and transpiration (EL) has been documented in stands of co-occurring species, and this variation has been observed to differ with tree size and canopy height increase. In this study, we present data that examine fluctuations in canopy gas exchange across co-occurring species and varying canopy heights for three montane forest chronosequences located in an inland Pacific Northwest mixed-conifer forest. With the exception of Douglas-fir (Pseudotsuga menziesii var. glauca (Beissn.) Franco), we observed consistent declines in canopy EL and GS wi

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Ling, Qingping, Yingtan Chen, Zhongke Feng, et al. "Monitoring Canopy Height in the Hainan Tropical Rainforest Using Machine Learning and Multi-Modal Data Fusion." Remote Sensing 17, no. 6 (2025): 966. https://doi.org/10.3390/rs17060966.

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Biomass carbon sequestration and sink capacities of tropical rainforests are vital for addressing climate change. However, canopy height must be accurately estimated to determine carbon sink potential and implement effective forest management. Four advanced machine-learning algorithms—random forest (RF), gradient boosting decision tree, convolutional neural network, and backpropagation neural network—were compared in terms of forest canopy height in the Hainan Tropical Rainforest National Park. A total of 140 field survey plots and 315 unmanned aerial vehicle photogrammetry plots, along with m

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Olvera-Vargas, Miguel, Blanca L. Figueroa-Rangel, and Christiam Solís Robles. "Floristic composition, structure and environmental characterization of Cyathea costaricensis population in a remnant cloud forest in Mexico." Revista de Biología Tropical 69, no. 3 (2021): 1079–97. http://dx.doi.org/10.15517/rbt.v69i3.47359.

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Introduction: Tree ferns are significant components of temperate, tropical and subtropical forests, contributing to shape complex forest stand structures. Objectives: 1) to describe the population structure of Cyathea costaricensis in a remnant cloud forest of West-central Mexico; 2) to characterize and relate the floristic composition and the structure of the most important tree species associated to the C. costaricensis population and; 3) to describe the environment where C. costaricensis occurs. Methods: We estimated the Importance Value Index (IVI) to select the most important canopy-domin

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