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1

Zikri, Muhammad, and Reki Kardiman. "Struktur Tegakan dan Tutupan Kanopi Ekosistem Hutan dan Parak di Kecamatan Lubuk Kilangan Kota Padang." Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa 2, no. 4 (2024): 01–16. http://dx.doi.org/10.62383/algoritma.v2i4.66.

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This study aimed to determine the stand structure and tree canopy cover in forest and parak ecosystems in Lubuk Kilangan District, Padang City. This is a descriptive research with a direct observation throught purposive random sampling method. Data were collected by making six of 20 x 20 m plots in each primary forest and parak ecosystem. Tree diameters ≥10 cm were measured in each plot and canopy cover were collected using the Hemispherical Photography method using a mobile phone front camera equipped with a fish-eye lens. Data were analyzed in terms of stand density, basal area, Stand Basal
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Aalto, Iris Johanna, Eduardo Eiji Maeda, Janne Heiskanen, Eljas Kullervo Aalto, and Petri Kauko Emil Pellikka. "Strong influence of trees outside forest in regulating microclimate of intensively modified Afromontane landscapes." Biogeosciences 19, no. 17 (2022): 4227–47. http://dx.doi.org/10.5194/bg-19-4227-2022.

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Abstract. Climate change is expected to have detrimental consequences on fragile ecosystems, threatening biodiversity, as well as food security of millions of people. Trees are likely to play a central role in mitigating these impacts. The microclimatic conditions below tree canopies usually differ substantially from the ambient macroclimate as vegetation can buffer temperature changes and variability. Trees cool down their surroundings through several biophysical mechanisms, and the cooling benefits occur also with trees outside forest. The aim of this study was to examine the effect of canop
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Huffman, Ronald D., Mary Ann Fajvan, and Petra Bohall Wood. "Effects of residual overstory on aspen development in Minnesota." Canadian Journal of Forest Research 29, no. 2 (1999): 284–89. http://dx.doi.org/10.1139/x98-202.

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The effects of different amounts of residual canopy on stand development of quaking aspen (Populus tremuloides Michx.) were examined in a chronosequence of 32 stands spanning 6-10 years since harvest. Residual canopy covers ranged from 0 to 65%, and residual basal areas ranged from 0 to 14.4 m2/ha. Aspen regeneration densities ranged from 7130 to 43 672 stems/ha. Regeneration stem density was affected primarily by residual canopy cover (R2 = 0.27, P = 0.0001) and secondarily by stand age (R2 = 0.09, P = 0.004). Aspen density decreased significantly with increasing residual canopy cover for 7-y
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Ashapure, Akash, Jinha Jung, Anjin Chang, Sungchan Oh, Murilo Maeda, and Juan Landivar. "A Comparative Study of RGB and Multispectral Sensor-Based Cotton Canopy Cover Modelling Using Multi-Temporal UAS Data." Remote Sensing 11, no. 23 (2019): 2757. http://dx.doi.org/10.3390/rs11232757.

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This study presents a comparative study of multispectral and RGB (red, green, and blue) sensor-based cotton canopy cover modelling using multi-temporal unmanned aircraft systems (UAS) imagery. Additionally, a canopy cover model using an RGB sensor is proposed that combines an RGB-based vegetation index with morphological closing. The field experiment was established in 2017 and 2018, where the whole study area was divided into approximately 1 x 1 m size grids. Grid-wise percentage canopy cover was computed using both RGB and multispectral sensors over multiple flights during the growing season
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Arya*, Neeta, and Jeet Ram. "Influence of canopy cover on vegetation in P. roxburghii sarg (chir-pine) dominated forests in Uttarakhand Himalaya, India." International Journal of Bioassays 5, no. 06 (2016): 4617. http://dx.doi.org/10.21746/ijbio.2016.06.006.

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Increasing anthropogenic pressure and dependence on plant products have led to widespread exploitation of natural forests in the Uttaranchal Himalaya. The present study was carried out to study the influence of canopy cover on tree, shrub and herb vegetation. For this three different canopy types, open canopy (<30%, cover), moderate canopy (30-60%, cover) and close canopy (>60%, cover) were identified in Pinus roxburghii (chir-pine) dominated forests. The study area is located between 290 20’and 290 30’ N latitude and 790 23’ and 790 42’ E longitude between 1350-2000m elevations in Uttar
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Ko, Dongwook, Nathan Bristow, David Greenwood, and Peter Weisberg. "Canopy Cover Estimation in Semiarid Woodlands: Comparison of Field-Based and Remote Sensing Methods." Forest Science 55, no. 2 (2009): 132–41. http://dx.doi.org/10.1093/forestscience/55.2.132.

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Abstract Canopy cover is a widely used measurement for characterizing forest structure. Numerous comparative studies have been conducted for a variety of canopy cover field methods. However, comparisons of canopy cover methodology are lacking for semiarid woodland, characterized by short-statured trees, simple vertical canopy structure, and relatively low canopy cover. Furthermore, there is limited knowledge on the compatibility between field and remote sensing methods, despite the increasing interest in scaling up canopy cover estimates from forest stands to large landscapes. In this study we
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Aditya, Rendy Bayu, and Muhammad Ulul Lizamun Ningam. "Assessing City Greenness using Tree Canopy Cover: The Case of Yogyakarta, Indonesia." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 14, no. 1 (2021): 71–80. http://dx.doi.org/10.24057/10.24057/2071-9388-2020-196.

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The study aims to measure the greenness of an Indonesia city using tree canopy cover data. Rapid physical development brings impacts to the loss of urban trees, which leads to the increase of flooding risk, local temperature and pollution level. To address the issues, a baseline assessment of urban tree canopy existence is necessary as inputs for effective urban environmental management policies. The methods used in this research include 1) remote sensing and spatial analysis, and 2) simple quantitative analysis. Furthermore, three indicators are used in assessing the greenness, including 1) s
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Aditya, Rendy Bayu, and Muhammad Ulul Lizamun Ningam. "Assessing City Greenness using Tree Canopy Cover: The Case of Yogyakarta, Indonesia." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 14, no. 1 (2021): 71–80. http://dx.doi.org/10.24057/2071-9388-2020-212.

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The study aims to measure the greenness of an Indonesia city using tree canopy cover data. Rapid physical development brings impacts to the loss of urban trees, which leads to the increase of flooding risk, local temperature and pollution level. To address the issues, a baseline assessment of urban tree canopy existence is necessary as inputs for effective urban environmental management policies. The methods used in this research include 1) remote sensing and spatial analysis, and 2) simple quantitative analysis. Furthermore, three indicators are used in assessing the greenness, including 1) s
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9

Aditya, Rendy Bayu, and Muhammad Ulul Lizamun Ningam. "Assessing City Greenness using Tree Canopy Cover: The Case of Yogyakarta, Indonesia." GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY 14, no. 1 (2021): 71–80. http://dx.doi.org/10.24057/2071-9388-2020-196.

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The study aims to measure the greenness of an Indonesia city using tree canopy cover data. Rapid physical development brings impacts to the loss of urban trees, which leads to the increase of flooding risk, local temperature and pollution level. To address the issues, a baseline assessment of urban tree canopy existence is necessary as inputs for effective urban environmental management policies. The methods used in this research include 1) remote sensing and spatial analysis, and 2) simple quantitative analysis. Furthermore, three indicators are used in assessing the greenness, including 1) s
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10

Nur Syahida, A. M., and A. B. Azinoor Azida. "The effect of vegetation canopy on canopy storage capacity with different rainfall intensity." MATEC Web of Conferences 250 (2018): 04001. http://dx.doi.org/10.1051/matecconf/201825004001.

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Canopy Interception is one of the vital component in hydrological cycle and underestimating the interception process can significantly affect the water balance. A study of rainfall interception was conducted using rainfall simulator called hydrology apparatus. Three different rainfall intensities were used in this study; 90 mm/hr, 140 mm/hr and 180 mm/hr. These intensities were produced by 8 nozzles. The test were first carried out on the barren land without the existence of canopy cover. To study the effect of canopy cover on canopy storage capacity, broadleaf plant (Scindapsus Aureus) was us
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Hannah, Peter R. "Regeneration of Northern Hardwoods in the Northeast with the Shelterwood Method." Northern Journal of Applied Forestry 8, no. 3 (1991): 99–104. http://dx.doi.org/10.1093/njaf/8.3.99.

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Abstract Study plots (1/4 ac) were located in four northern hardwood stands in Vermont, and shelterwood canopy covers of 40, 60, 80, and 100%, and a control (no cutting) were established. Regeneration on small plots within the treated areas was sampled over a 3-year period and the composition of saplings determined after 6 years. While there were substantial increases in amount of regeneration under most canopy covers, there was no significant differences due to treatment. Some important trends, however, were evident. Sugar maple showed some increase in seedling density under most canopy densi
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Hamilton, Dale A., Kamden L. Brothers, Samuel D. Jones, Jason Colwell, and Jacob Winters. "Wildland Fire Tree Mortality Mapping from Hyperspatial Imagery Using Machine Learning." Remote Sensing 13, no. 2 (2021): 290. http://dx.doi.org/10.3390/rs13020290.

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The use of imagery from small unmanned aircraft systems (sUAS) has enabled the production of more accurate data about the effects of wildland fire, enabling land managers to make more informed decisions. The ability to detect trees in hyperspatial imagery enables the calculation of canopy cover. A comparison of hyperspatial post-fire canopy cover and pre-fire canopy cover from sources such as the LANDFIRE project enables the calculation of tree mortality, which is a major indicator of burn severity. A mask region-based convolutional neural network was trained to classify trees as groups of pix
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Fidelibus, Matthew W., Stephen J. Vasquez, and S. Kaan Kurtural. "Late-season Plastic Canopy Covers Affect Canopy Microclimate and Fruit Quality of ‘Autumn King’ and ‘Redglobe’ Table Grapes." HortTechnology 26, no. 2 (2016): 141–47. http://dx.doi.org/10.21273/horttech.26.2.141.

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California table grape (Vitis vinifera) growers cover the canopies of late-season varieties with plastic (polyethylene) covers to shield the fruit from rain. Green- or white-colored covers are commonly used, but there is lack of information whether either cover might be preferable based on canopy microclimate or fruit quality. In late September, ‘Redglobe’ (in 2011) and ‘Autumn King’ (in 2012) table grapevines were covered with green or white plastic, or left uncovered, and canopy microclimate, fungal and bacterial rot incidence, and fruit yield and quality at harvest, and after postharvest st
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14

Narine, Lana L., Sorin C. Popescu, and Lonesome Malambo. "A Methodological Framework for Mapping Canopy Cover Using ICESat-2 in the Southern USA." Remote Sensing 15, no. 6 (2023): 1548. http://dx.doi.org/10.3390/rs15061548.

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NASA’s Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) provides exceptional opportunities for characterizing the structure of ecosystems through the acquisition of along-track, three-dimensional observations. Focusing on canopy cover as a fundamental parameter for assessing forest conditions, the overall goal of this study was to establish a framework for generating a gridded 30 m canopy cover product with ICESat-2. Specifically, our objectives were to (1) Determine and compare ICESat-2-derived canopy cover with airborne lidar-derived and the 2016 National Land Cover Database (NLCD) cove
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Bailey, Amanda M., Holly K. Ober, Brian E. Reichert, and Robert A. McCleery. "Canopy Cover Shapes Bat Diversity across an Urban and Agricultural Landscape Mosaic." Environmental Conservation 46, no. 03 (2019): 193–200. http://dx.doi.org/10.1017/s0376892919000109.

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SummaryHuman alteration of the planet’s terrestrial landscapes for agriculture, habitation and commerce is reshaping wildlife communities. The threat of land cover change to wildlife is pronounced in regions with rapidly growing human populations. We investigated how species richness and species-specific occurrence of bats changed as a function of land cover and canopy (tree) cover across a rapidly changing region of Florida, USA. Contrary to our predictions, we found negligible effects of agriculture and urban development on the occurrence of all species. In contrast, we found that a remotely
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Bailey, Amanda M., Holly K. Ober, Brian E. Reichert, and Robert A. McCleery. "Canopy Cover Shapes Bat Diversity across an Urban and Agricultural Landscape Mosaic." Environmental Conservation 46, no. 3 (2019): 193–200. https://doi.org/10.5281/zenodo.14821025.

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(Uploaded by Plazi for the Bat Literature Project) Human alteration of the planet's terrestrial landscapes for agriculture, habitation and commerce is reshaping wildlife communities. The threat of land cover change to wildlife is pronounced in regions with rapidly growing human populations. We investigated how species richness and species-specific occurrence of bats changed as a function of land cover and canopy (tree) cover across a rapidly changing region of Florida, USA. Contrary to our predictions, we found negligible effects of agriculture and urban development on the occurrence of all sp
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Bravo-Bello, Juan C., Tomas Martinez-Trinidad, J. Rene Valdez-Lazalde, Martin E. Romero-Sanchez, and Sergio Martinez-Trinidad. "Analyzing Potential Tree-Planting Sites and Tree Coverage in Mexico City Using Satellite Imagery." Forests 11, no. 4 (2020): 423. http://dx.doi.org/10.3390/f11040423.

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Locating potential tree-planting sites and analyzing tree canopy cover is important in the planning and management of urban forests. This paper reports the quantification of potential planting sites as well as tree canopy cover in the urban area of Mexico City, estimated by means of SPOT (Satellite Pour l’Observation de la Terre) 6 satellite images and a supervised pixel-based classification approach. Results showed an estimated area of 3100.7 ha of potentially useful sites, including places with bare soil and grass-covered areas such as median strips, roundabouts and parks. An average tree ca
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18

Zimba, Henry, Miriam Coenders-Gerrits, Banda Kawawa, Hubert Savenije, Imasiku Nyambe, and Hessel Winsemius. "Variations in Canopy Cover and Its Relationship with Canopy Water and Temperature in the Miombo Woodland Based on Satellite Data." Hydrology 7, no. 3 (2020): 58. http://dx.doi.org/10.3390/hydrology7030058.

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Understanding the canopy cover relationship with canopy water content and canopy temperature in the Miombo ecosystem is important for studying the consequences of climate change. To better understand these relationships, we studied the satellite data-based land surface temperature (LST) as proxy for canopy temperature, leaf area index (LAI), and the normalized difference vegetation index (NDVI) as proxies for canopy cover. Meanwhile, the normalized difference infrared index (NDII) was used as a proxy for canopy water content. We used several statistical approaches including the correlated comp
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Anderson, Benjamin D., Gary W. Knox, Ann R. Blount, Cheryl L. Mackowiak, and Edward F. Gilman. "Ornamental Groundcover Characteristics of Rhizoma Peanut (Arachis glabrata Benth.): Shade Affects Height but not Cover." HortScience 50, no. 7 (2015): 952–56. http://dx.doi.org/10.21273/hortsci.50.7.952.

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Rhizoma peanut has the potential for use as an ecologically friendly groundcover or turf alternative. Little is known about height and cover characteristics of this plant, which are important ornamental considerations. The objectives of this field study were to characterize maximum average canopy height, height variability, the time to reach full canopy cover, and the time at full canopy cover of seven released and nine experimental selections of rhizoma peanut grown in full sun or under 30% shade at two North Florida locations. Greater height and a less uniform canopy were observed for shaded
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AKTÜRK, Emre. "ICESat-2 ATL08 Verileri Kullanılarak Veri Toplama Zamanının Orman Kanopi Örtüsü Tahmini Üzerindeki Etkisinin Değerlendirilmesi." Kastamonu University Journal of Forestry Faculty 23, no. 3 (2023): 220–29. http://dx.doi.org/10.17475/kastorman.1394895.

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Aim of study: This study investigates the estimation success of using day and night segments in producing Forest Canopy Cover (FCC) maps with the Canopy Cover Estimation Model (CCEM) for the years 2020 and 2022.
 Area of study: The study area covers 17 interconnected counties situated in the southeastern part of Texas state, adjacent to the state of Louisiana, and near the southern coastlines, known for their extensive forested areas.
 Material and methods: This study incorporated both day and night acquisition segments from Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) data
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Hilton Wolschick, Neuro, Fabrício Tondello Barbosa, Ildegardis Bertol, Kristiana Fiorentin dos Santos, Romeu de Souza Werner, and Bárbara Bagio. "Cobertura do solo, produção de biomassa e acúmulo de nutrientes por plantas de cobertura." Revista de Ciências Agroveterinárias 15, no. 2 (2016): 134–43. http://dx.doi.org/10.5965/223811711522016134.

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BARNOAIEA, Ionuţ, Ciprian PALAGHIANU, and Marian DRĂGOI. "Combining visual interpretation and image segmentation to derive canopy cover index from high resolution satellite imagery in functionally diverse coniferous forests." Notulae Botanicae Horti Agrobotanici Cluj-Napoca 52, no. 1 (2024): 13637. http://dx.doi.org/10.15835/nbha52113637.

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Forest canopy cover is one of the most significant structural parameters of the forest stand that can be estimated using of aerial and satellite remote sensing. Even though sub-pixel analysis can be used to estimate the index on low-resolution imagery, high-resolution imagery provides more accurate details on forest canopy variability for ecological and forestry applications. However, the high variability of the images demands a more advanced approach to canopy cover measurement than the visual interpretation of single images or stereo pairs. These traditional methods are inefficient and limit
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Hinko-Najera, Nina, Paul D. Bentley, Samuel Hislop, et al. "Mapping Windthrow Severity as Change in Canopy Cover in a Temperate Eucalypt Forest." Remote Sensing 16, no. 24 (2024): 4710. https://doi.org/10.3390/rs16244710.

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Storm events are significant disturbance agents that can cause considerable forest damage through windthrow. Assessment and mapping of the extent and severity of windthrow is critical to provide reliable information to forest managers to prioritize post-storm hazard reduction (including public safety and fire risk) and to guide restoration activities. Detailed on-ground assessments after windthrow are often impossible due to lack of access and safety concerns. In 2021, severe windstorms caused unprecedented and extensive windthrow in a temperate eucalypt forest in south-eastern Australia. The
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Walton, Jeffrey, David Nowak, and Eric Greenfield. "Assessing Urban Forest Canopy Cover Using Airborne or Satellite Imagery." Arboriculture & Urban Forestry 34, no. 6 (2008): 334–40. http://dx.doi.org/10.48044/jauf.2008.046.

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With the availability of many sources of imagery and various digital classification techniques, assessing urban forest canopy cover is readily accessible to most urban forest managers. Understanding the capability and limitations of various types of imagery and classification methods is essential to interpreting canopy cover values. An overview of several remote sensing techniques used to assess urban forest canopy cover is presented. A case study comparing canopy cover percentages for Syracuse, New York, U.S. interprets the multiple values developed using different methods. Most methods produ
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Sulistiyono, N., R. Syafitri, and S. A. Hudjimartsu. "Application of sentinel 2A sattelite imagery for the estimation of canopy cover spatial distribution at mangrove vegetation." IOP Conference Series: Earth and Environmental Science 977, no. 1 (2022): 012092. http://dx.doi.org/10.1088/1755-1315/977/1/012092.

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Abstract Mangrove canopy density is one of the important variables for monitoring the health of mangrove vegetation. The vegetation index in satellite imagery is one of the variables that can be used to estimate the distribution of mangrove forest canopy cover. This study aims to predict the distribution of canopy cover of mangrove planted in Lubuk Kertang. The method used is regression analysis by connecting the NDVI value in the Sentinel 2A satellite image with the canopy density value in the field. Measurement of canopy cover in the field using a fisheye camera. The use of GIS is used to de
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Chojnacky, David, Emily Smith-McKenna, Laura Johnson, John McGee, and Cindy Chojnacky. "Evaluating Urban Canopy Cover Before and After Housing Redevelopment in Falls Church, Virginia, USA." Arboriculture & Urban Forestry 46, no. 1 (2020): 12–26. http://dx.doi.org/10.48044/jauf.2020.002.

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Local governments have created regulations aimed to maintain and increase valuable urban tree cover. The City of Falls Church, Virginia, USA, requires each residential redevelopment to retain or plant enough trees for 20% canopy cover within ten years. To assess whether this goal is being met, we studied 21 Falls Church residential lots redeveloped between 1994 and 2011 where existing houses had been replaced with larger ones. Initial tree inventories and measurements prior to redevelopment were recorded in redevelopment plans. We remeasured preserved and planted trees in a ground survey and m
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Akturk, Emre, Sorin C. Popescu, and Lonesome Malambo. "ICESat-2 for Canopy Cover Estimation at Large-Scale on a Cloud-Based Platform." Sensors 23, no. 7 (2023): 3394. http://dx.doi.org/10.3390/s23073394.

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Forest canopy cover is an essential biophysical parameter of ecological significance, especially for characterizing woodlands and forests. This research focused on using data from the ICESat-2/ATLAS spaceborne lidar sensor, a photon-counting altimetry system, to map the forest canopy cover over a large country extent. The study proposed a novel approach to compute categorized canopy cover using photon-counting data and available ancillary Landsat images to build the canopy cover model. In addition, this research tested a cloud-mapping platform, the Google Earth Engine (GEE), as an example of a
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Christopher, Treg A., and John M. Goodburn. "The Effects of Spatial Patterns on the Accuracy of Forest Vegetation Simulator (FVS) Estimates of Forest Canopy Cover." Western Journal of Applied Forestry 23, no. 1 (2008): 5–11. http://dx.doi.org/10.1093/wjaf/23.1.5.

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Abstract The Forest Vegetation Simulator (FVS) estimates percent canopy cover without spatially explicit information. Estimates of canopy cover in FVS can be corrected for crown overlap, based on the assumption that trees in a stand are randomly distributed. This research assessed the accuracy of FVS estimates of canopy cover in stands with nonrandom spatial patterns. A method for measuring canopy cover within a geographic information system was developed to compare with FVS estimates of cover for 19, stem-mapped plots across Idaho and Montana. The Ripley's K(d) statistic was used to describe
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Schwab, Francis E., and Michael D. Pitt. "Moose selection of canopy cover types related to operative temperature, forage, and snow depth." Canadian Journal of Zoology 69, no. 12 (1991): 3071–77. http://dx.doi.org/10.1139/z91-431.

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Simple linear and muliple regressions were used to determine the contribution of operative temperature (Te), forage, and snow depth to moose (Alces alces) selection of canopy cover types. The number of degree-hours for which Te exceeded the thermal limit at which panting is required to dissipate metabolic heat contributed significantly to selection during summer (1 June – 15 September) and late winter (16 January – 15 April). Forage explained canopy cover selection in early winter (16 November – 15 January) and contributed significantly to the best equation describing habitat selection during
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Saleh, M. B., R. W. Dewi, L. B. Prasetyo, and N. A. Santi. "Canopy Cover Estimation in Lowland Forest in South Sumatera, Using LiDAR and Landsat 8 OLI imagery." Jurnal Manajemen Hutan Tropika (Journal of Tropical Forest Management) 27, no. 1 (2021): 50–58. http://dx.doi.org/10.7226/jtfm.27.1.50.

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Canopy cover is one of the most important variables in ecology, hydrology, and forest management, and useful as a basis for defining forests. LiDAR is an active remote sensing method that provides the height information of an object in three-dimensional space. The method allows for the mapping of terrain, canopy height and cover. Its only setback is that it has to be integrated with Landsat to cover a large area. The main objective of this study is to generate the canopy cover estimation model using Landsat 8 OLI and LiDAR. Landsat 8 OLI vegetation indices and LiDAR-derived canopy cover estima
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Yu, Tianyu, Wenjian Ni, Zhiyu Zhang, Qinhuo Liu, and Guoqing Sun. "Regional Sampling of Forest Canopy Covers Using UAV Visible Stereoscopic Imagery for Assessment of Satellite-Based Products in Northeast China." Journal of Remote Sensing 2022 (January 10, 2022): 1–14. http://dx.doi.org/10.34133/2022/9806802.

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Canopy cover is an important parameter affecting forest succession, carbon fluxes, and wildlife habitats. Several global maps with different spatial resolutions have been produced based on satellite images, but facing the deficiency of reliable references for accuracy assessments. The rapid development of unmanned aerial vehicle (UAV) equipped with consumer-grade camera enables the acquisition of high-resolution images at low cost, which provides the research community a promising tool to collect reference data. However, it is still a challenge to distinguish tree crowns and understory green v
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Abu Bakar, Azinoor Azida, Zulkiflee Abd Latif, and Wei-Koon Lee. "COMPARISON OF CANOPY COVER EFFECTS ON RAINFALL INTERCEPTION LOSS IN TROPICAL FOREST WITH HOMOGENOUS AND MIXED TREE SPECIES." Jurnal Teknologi 85, no. 2 (2023): 1–9. http://dx.doi.org/10.11113/jurnalteknologi.v85.17661.

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This study was designed to determine the canopy cover, c of the tropical forest and explore its effects on the interception loss amount. The study area was a reserved forest Lagong Hill Forest Reserve, Kepong, Selangor, Malaysia, where two plots with an area of 400 m2 (20 m x 20 m) each have been set up to collect the data. In order to determine the measured interception loss, rainfall, throughfall, and stemflow data have been measured on site. The tree with a diameter at breast height (dbh) of more than 10 cm was selected in collecting the stemflow data. Twenty-five (25) locations have been c
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Ralls, Carson, Anne Y. Polyakov, and Vivek Shandas. "Scale-Dependent Effects of Urban Canopy Cover, Canopy Volume, and Impervious Surfaces on Near-Surface Air Temperature in a Mid-Sized City." Land 13, no. 11 (2024): 1741. http://dx.doi.org/10.3390/land13111741.

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Cities are significantly warmer than their surrounding rural environments. Known as the ‘urban heat island effect’, it can affect the health of urban residents and lead to increased energy use, public health impacts, and damage to infrastructure. Although this effect is extensively researched, less is known about how landscape characteristics within cities affect local temperature variation. This study examined how tree canopy cover, canopy volume, and impervious surface cover affect daytime near-surface air temperature, and how these effects vary between different scales of analysis (10, 30,
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Rosikin, Rosikin, Lilik Budi Prasetyo, and Rachmad Hermawan. "Assessment of the success of canopy cover revegetation of former coal mine lands with Forest Canopy Density (FCD) Model in Kutai Kartanegara, East Kalimantan." Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 13, no. 4 (2023): 574–85. http://dx.doi.org/10.29244/jpsl.13.4.574-585.

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Coal mining plays a vital role in Indonesia's economic growth. However, these activities negatively impact the environment. To minimize this, the Indonesian government requires ex-mining land to be reclaimed, with one of the success criteria being canopy cover. Until now, there has been no measurable method that can determine the success rate of canopy cover on reclaimed land. This research was conducted to develop a measurement method based on remote sensing data using the Forest Canopy Density (FCD) Model, which is applied in Company X, Kutai Kertanegara. The FCD Model consisted of four biop
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Rossi, Fernando, Andreas Fritz, and Gero Becker. "Combining Satellite and UAV Imagery to Delineate Forest Cover and Basal Area after Mixed-Severity Fires." Sustainability 10, no. 7 (2018): 2227. http://dx.doi.org/10.3390/su10072227.

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In northern Argentina, the assessment of degraded forests is a big challenge for both science and practice, due to their heterogeneous structure. However, new technologies could contribute to mapping post-disturbance canopy cover and basal area in detail. Therefore, this research assesses whether or not the inclusion of partial cover unmanned aerial vehicle imagery could reduce the classification error of a SPOT6 image used in an area-based inventory. BA was calculated from 77 ground inventory plots over 3944 ha of a forest affected by mixed-severity fires in the Argentinian Yungas. In total,
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Mõistus, Marta, Mait Lang, and Allan Sims. "Puittaimestiku kaardistamine aerolidari andmete põhjal metsana lisanduvatel aladel/ Estimation of fractional forest cover from airborne laser scanning data in abandoned agricultural land." Forestry Studies 59, no. 1 (2013): 45–58. http://dx.doi.org/10.2478/fsmu-2013-0010.

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Abstract The abandonment of agricultural land is an actual problem in Estonia due to significant impact on landscape ecology and structure. Abandoned agricultural fields are usually converting into forest. Mapping of agricultural land use is a strategic interest of each country. Airborne laser scanning (ALS) is used in many countries for topographical mapping and the laser pulse return positions are promising datasets for mapping the abandonment of agricultural land. We used ALS data based woody plant canopy cover estimates made at certain reference height unachievable for field crops to map a
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Smith, Janice, Charles Raczkowski, and Marihelen Kamp-Glass. "A Simple Method for Measuring Crop Canopy." HortScience 30, no. 4 (1995): 862F—862. http://dx.doi.org/10.21273/hortsci.30.4.862f.

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Crop canopy cover data is used to study canopy structure and crop growth analysis. This study was conducted to determine the easiest and most reliable method of calculating crop canopy cover. Using Decagon Sunfleck Ceptometer was compared with the traditional method (tape measure) of retrieving crop canopy cover data. Data was collected on silage corn (Zea mays) and soybeans (Glycine max L.). The method of collecting data using the ceptometer was simple and quick compared to the traditional method. The ceptometer, even with human variability, was found to be ≈99% accurate. The traditional meth
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Lopatin, Eugene, Kari Väätäinen, Antero Kukko, et al. "Unlocking Digitalization in Forest Operations with Viewshed Analysis to Improve GNSS Positioning Accuracy." Forests 14, no. 4 (2023): 689. http://dx.doi.org/10.3390/f14040689.

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This study evaluated the positioning accuracy of moving forest harvesters using global navigation satellite system (GNSS) signals under a forest canopy, and developed approaches for forecasting accuracy under a mature spruce canopy cover. Real-time kinematic positioning with a Trimble R12 receiver on top of a harvester achieved high positioning accuracy, with 86% of observations meeting a maximum precision of 8 mm. However, the presence of a canopy cover hampered the GNSS’s performance as there were fewer satellites available, leading to an increased number of inaccurate positions and larger v
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Rocha, Adrian V., Hong-Bing Su, Christoph S. Vogel, Hans Peter Schmid, and Peter S. Curtis. "Photosynthetic and Water Use Efficiency Responses to Diffuse Radiation by an Aspen-Dominated Northern Hardwood Forest." Forest Science 50, no. 6 (2004): 793–801. http://dx.doi.org/10.1093/forestscience/50.6.793.

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Abstract Clouds can exert strong effects on ecosystem CO2 and water vapor fluxes and may be important determinants of terrestrial primary production. We used three years of eddy-covariance and meteorological data from an aspen-dominated northern hardwood forest in Michigan to investigate how canopy photosynthesis (P), evapotranspiration (E), and water use efficiency (WUE) responded to changes in cloud cover, or the proportion of diffuse (If) to total (It) photosynthetically active radiation (PAR). Canopy quantum efficiency (the initial slope of the P versus PAR response curve) increased with i
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Coulston, John W., Gretchen G. Moisen, Barry T. Wilson, Mark V. Finco, Warren B. Cohen, and C. Kenneth Brewer. "Modeling Percent Tree Canopy Cover." Photogrammetric Engineering & Remote Sensing 78, no. 7 (2012): 715–27. http://dx.doi.org/10.14358/pers.78.7.715.

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Suhardi, Suhardi, Ahmad Munir, Muhammad Tahir Sapsal, Sitti Nur Faridah, Iqbal Iqbal, and Syahrial Sabaniah. "Effect of Canopy Cover Level of Cacao and Shade Trees on Splash Erosion On Cacao Land." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 13, no. 1 (2024): 82. http://dx.doi.org/10.23960/jtep-l.v13i1.82-91.

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In smallholder cacao plantations, the protective crops used varied, so they have different effects on splash erosion. The management of land cover with a canopy of cacao and shade trees on cacao fields, aims to control of splash erosion. This study was conducted by directly measuring the magnitude of splash erosion under several levels of canopy cover. The magnitude of splash erosion was determined by measuring the depth of the eroded soil using the bottle cap method. The measurements were carried out every rain event (46 rain events with rainfall varied from 0.28 to 97.04 mm). The canopy cove
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Triatmojo, Muhammad Reza, Prijanto Pamoengkas, and Darwo. "Assessment of Growth and Carbon Stock of 6-Year-Old Dryobalanops lanceolata." Jurnal Sylva Lestari 12, no. 2 (2024): 445–58. http://dx.doi.org/10.23960/jsl.v12i2.854.

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Dipterocarp species are the mainstay of forest products in the form of woodworking. Dryobalanops lanceolata is one of the dipterocarp species. The study aimed to analyze the effect of canopy cover on the growth and carbon storage of 6-year-old D. lanceolata. Data were collected by measuring diameter, height, canopy cover, soil samples, and carbon storage. The research method was carried out by regression between canopy cover and tree diameter and height growth, analyzing soil fertility and carbon content. The 6-year-old D. lanceolata has grown well with a canopy cover of less than 34% (canopy
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Qin, Yuanwei, Xiangming Xiao, Hao Tang, et al. "Annual maps of forest cover in the Brazilian Amazon from analyses of PALSAR and MODIS images." Earth System Science Data 16, no. 1 (2024): 321–36. http://dx.doi.org/10.5194/essd-16-321-2024.

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Abstract. Many forest cover maps have been generated by using optical and/or microwave images, but these forest cover maps have large area and spatial discrepancies. To date, few studies have assessed forest cover maps in terms of two biophysical parameters used in forest definition: canopy height and canopy coverage. We generated annual forest cover maps from 2007 to 2010 and evergreen forest cover maps from 2000 to 2021 in the Brazilian Amazon using the images from the Phased Array type L-band Synthetic Aperture Radar and the time series images from the Moderate Resolution Imaging Spectrorad
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Rankin, W. T., and Elliot J. Tramer. "Understory succession and the gap regeneration cycle in a Tsuga canadensis forest." Canadian Journal of Forest Research 32, no. 1 (2002): 16–23. http://dx.doi.org/10.1139/x01-168.

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We examined understory succession in current and former canopy gaps in mature Tsuga canadensis (L.) Carrière forests in southeastern Ohio. First, we reconstructed understory succession in current gaps by sampling 28 gaps ranging from 0 to 9 years. Second, we reconstructed the gap history of a single Tsuga community by clustering release events evident in the growth rings of 156 trees. The two reconstructions formed an 80-year chronosequence, allowing us to examine both short-term effects of gaps as well as long-term effects of closed-canopy conditions on eight common understory species. Unders
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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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Wu, Xiangqian, Xin Shen, Lin Cao, Guibin Wang, and Fuliang Cao. "Assessment of Individual Tree Detection and Canopy Cover Estimation using Unmanned Aerial Vehicle based Light Detection and Ranging (UAV-LiDAR) Data in Planted Forests." Remote Sensing 11, no. 8 (2019): 908. http://dx.doi.org/10.3390/rs11080908.

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Canopy cover is a key forest structural parameter that is commonly used in forest inventory, sustainable forest management and maintaining ecosystem services. Recently, much attention has been paid to the use of unmanned aerial vehicle (UAV)-based light detection and ranging (LiDAR) due to the flexibility, convenience, and high point density advantages of this method. In this study, we used UAV-based LiDAR data with individual tree segmentation-based method (ITSM), canopy height model-based method (CHMM), and a statistical model method (SMM) with LiDAR metrics to estimate the canopy cover of a
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Ziter, Carly D., Eric J. Pedersen, Christopher J. Kucharik, and Monica G. Turner. "Scale-dependent interactions between tree canopy cover and impervious surfaces reduce daytime urban heat during summer." Proceedings of the National Academy of Sciences 116, no. 15 (2019): 7575–80. http://dx.doi.org/10.1073/pnas.1817561116.

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As cities warm and the need for climate adaptation strategies increases, a more detailed understanding of the cooling effects of land cover across a continuum of spatial scales will be necessary to guide management decisions. We asked how tree canopy cover and impervious surface cover interact to influence daytime and nighttime summer air temperature, and how effects vary with the spatial scale at which land-cover data are analyzed (10-, 30-, 60-, and 90-m radii). A bicycle-mounted measurement system was used to sample air temperature every 5 m along 10 transects (∼7 km length, sampled 3–12 ti
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Ganey, Joseph L., William M. Block, Jeffrey S. Jenness, and Randolph A. Wilson. "Mexican Spotted Owl Home Range and Habitat Use in Pine-Oak Forest: Implications for Forest Management." Forest Science 45, no. 1 (1999): 127–35. http://dx.doi.org/10.1093/forestscience/45.1.127.

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Abstract To better understand the habitat relationships of the Mexican spotted owl (Strix occidentalis lucida), and how such relationships might influence forest management, we studied home-range and habitat use of radio-marked owls in ponderosa pine (Pinus ponderosa)-Gambel oak (Quercus gambelii) forest. Annual home-range size (95% adaptive-kernel estimate) averaged 895 ha ± + 70 (SE) for 12 individuals and 997 ha ± 186 (SE) for 7 pairs of owls. On average, the 75% adaptive-kernel contour (a probability contour containing 75% of the owl locations) included 32 and 30% of the annual home range
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Reid, D. J., P. S. Lake, G. P. Quinn, and P. Reich. "Association of reduced riparian vegetation cover in agricultural landscapes with coarse detritus dynamics in lowland streams." Marine and Freshwater Research 59, no. 11 (2008): 998. http://dx.doi.org/10.1071/mf08012.

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Studies were conducted on streams flowing through agricultural floodplains in south-eastern Australia to quantify whether reductions in riparian canopy cover were associated with alterations to the input and benthic standing stocks of coarse allochthonous detritus. Comparisons were made among three farmland reaches and three reaches within reserves with intact cover of remnant overstorey trees. Detritus inputs to these reaches were measured monthly over 2 years using litter traps. Direct inputs to streams within the reserves were relatively high (550–617 g ash free dry weight (AFDW) m–2 year–1
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Wasserman, Tzeidle N., Andrew J. Sánchez Meador, and Amy E. M. Waltz. "Grain and Extent Considerations Are Integral for Monitoring Landscape-Scale Desired Conditions in Fire-Adapted Forests." Forests 10, no. 6 (2019): 465. http://dx.doi.org/10.3390/f10060465.

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Remotely-sensed data are commonly used to evaluate forest metrics, such as canopy cover, to assess change detection, and to inform land management planning. Often, canopy cover is measured only at the scale of the spatial data product used in the analysis, and there is a mismatch between the management question and the scale of the data. We compared four readily available remotely sensed landscape data products— Light detection and ranging (LiDAR), Landsat-8, Sentinel-2, and National Agriculture Imagery Program (NAIP) imagery —at different spatial grains and multiple extents to assess their co
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