Relevant bibliographies by topics / Plant Canopies Monitoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Reports

Academic literature on the topic 'Plant Canopies Monitoring'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Plant Canopies Monitoring"

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Osawa, Akira. "Plant canopies: Their growth, form and function." Forest Ecology and Management 49, no. 1-2 (1992): 168–70. http://dx.doi.org/10.1016/0378-1127(92)90169-a.

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Paturkar, Abhipray, Gourab Sen Gupta, and Donald Bailey. "Making Use of 3D Models for Plant Physiognomic Analysis: A Review." Remote Sensing 13, no. 11 (2021): 2232. http://dx.doi.org/10.3390/rs13112232.

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Use of 3D sensors in plant phenotyping has increased in the last few years. Various image acquisition, 3D representations, 3D model processing and analysis techniques exist to help the researchers. However, a review of approaches, algorithms, and techniques used for 3D plant physiognomic analysis is lacking. In this paper, we investigate the techniques and algorithms used at various stages of processing and analysing 3D models of plants, and identify their current limiting factors. This review will serve potential users as well as new researchers in this field. The focus is on exploring studie
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Wen, Yibo, Linlan Zhuang, Hezhi Wang, Tongxin Hu, and Wenyi Fan. "An Automated Hemispherical Scanner for Monitoring the Leaf Area Index of Forest Canopies." Forests 13, no. 9 (2022): 1355. http://dx.doi.org/10.3390/f13091355.

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The leaf area index (LAI) is an important structural parameter of plant canopies used in terrestrial biosphere models. Optical methods are commonly used for measuring LAI due to their non-destructive nature, convenience, and rapidity. In the present study, a novel instrument, named the Automated Hemispherical Scanner (AHS), was developed to measure plant area index (PAI) for monitoring daily changes in LAI in forest ecosystems. In the AHS, an optical sensor driven by a pair of servomotors is used to observe hemispherical light transmission continuously at adjustable intervals, and a blue filte
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Bagley, Stuart A., Jonathan A. Atkinson, Henry Hunt, Michael H. Wilson, Tony P. Pridmore, and Darren M. Wells. "Low-Cost Automated Vectors and Modular Environmental Sensors for Plant Phenotyping." Sensors 20, no. 11 (2020): 3319. http://dx.doi.org/10.3390/s20113319.

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High-throughput plant phenotyping in controlled environments (growth chambers and glasshouses) is often delivered via large, expensive installations, leading to limited access and the increased relevance of “affordable phenotyping” solutions. We present two robot vectors for automated plant phenotyping under controlled conditions. Using 3D-printed components and readily-available hardware and electronic components, these designs are inexpensive, flexible and easily modified to multiple tasks. We present a design for a thermal imaging robot for high-precision time-lapse imaging of canopies and
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Xu, Zuo, and Dalong Jiang. "AI-Powered Plant Science: Transforming Forestry Monitoring, Disease Prediction, and Climate Adaptation." Plants 14, no. 11 (2025): 1626. https://doi.org/10.3390/plants14111626.

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The integration of artificial intelligence (AI) and forestry is driving transformative advances in precision monitoring, disaster management, carbon sequestration, and biodiversity conservation. However, significant knowledge gaps persist in cross-ecological model generalisation, multi-source data fusion, and ethical implementation. This review provides a comprehensive overview of AI’s transformative role in forestry, focusing on three key areas: resource monitoring, disaster management, and sustainability. Data were collected via a comprehensive literature search of academic databases from 20
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Zhao, Yibo, Shaogang Lei, Xiaotong Han, et al. "Research on the Inversion Method of Dust Content on Mining Area Plant Canopies Based on UAV-Borne VNIR Hyperspectral Data." Drones 9, no. 4 (2025): 256. https://doi.org/10.3390/drones9040256.

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Monitoring dust on plant canopies around open-pit coal mines is crucial to assessing environmental pollution and developing effective dust suppression strategies. This research focuses on the Ha’erwusu open-pit coal mine in Inner Mongolia, China, using measured dust content on plant canopies and UAV-borne VNIR hyperspectral data as the data sources. The study employed five spectral transformation forms—first derivative (FD), second derivative (SD), logarithm transformation (LT), reciprocal transformation (RT), and square root (SR)—alongside the competitive adaptive reweighted sampling (CARS) m
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Merrick, Trina, Ralf Bennartz, Maria Luisa S. P. Jorge, Stephanie Pau, and John Rausch. "Evaluation of Plant Stress Monitoring Capabilities Using a Portable Spectrometer and Blue-Red Grow Light." Sensors 22, no. 9 (2022): 3411. http://dx.doi.org/10.3390/s22093411.

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Remote sensing offers a non-destructive method to detect plant physiological response to the environment by measuring chlorophyll fluorescence (CF). Most methods to estimate CF require relatively complex retrieval, spectral fitting, or modelling methods. An investigation was undertaken to evaluate measurements of CF using a relatively straightforward technique to detect and monitor plant stress with a spectroradiometer and blue-red light emitting diode (LED). CF spectral response of tomato plants treated with a photosystem inhibitor were assessed and compared to traditional reflectance-based i
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Comella, Laura Maria, Florian Bregler, Eiko Hager, et al. "Estimation of Leaf Area Index with a Multi-Channel Spectral Micro-Sensor for Wireless Sensing Networks." Sensors 22, no. 13 (2022): 5048. http://dx.doi.org/10.3390/s22135048.

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The leaf area index (LAI) is a key parameter in the context of monitoring the development of tree crowns and plants in general. As parameters such as carbon assimilation, environmental stress on carbon, and the water fluxes within tree canopies are correlated to the leaves surface, this parameter is essential for understanding and modeling ecological processes. However, its continuous monitoring using manual state-of-the-art measurement instruments is still challenging. To address this challenge, we present an innovative sensor concept to obtain the LAI based on the cheap and easy to integrate
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Zhao, Yibo, and Shaogang Lei. "Research on the Inversion Method of Dust Retention in Grassland Plant Canopies Based on UAV-Borne Hyperspectral Data." Land 14, no. 3 (2025): 458. https://doi.org/10.3390/land14030458.

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Monitoring the dust retention content in grassland plants around open-pit coal mines is of significant importance for environmental pollution monitoring and the development of dust control strategies. This paper focuses on the HulunBuir grassland in the Inner Mongolia Autonomous Region, China. UAV-borne hyperspectral data and measured dust retention content in plant canopies are used as data sources. The spectral response characteristics of canopy dust retention are analyzed, and four types of optimized spectral indices are constructed, including the difference index (DI), ratio index (RI), no
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Clarke, Thomas R., and M. Susan Moran. "Monitoring Crop Water Status and Irrigation Needs Using Multispectral Airborne Sensors." HortScience 30, no. 4 (1995): 905D—905. http://dx.doi.org/10.21273/hortsci.30.4.905d.

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Water application efficiency can be improved by directly monitoring plant water status rather than depending on soil moisture measurements or modeled ET estimates. Plants receiving sufficient water through their roots have cooler leaves than those that are water-stressed, leading to the development of the Crop Water Stress Index based on hand-held infrared thermometry. Substantial error can occur in partial canopies, however, as exposed hot soil contributes to deceptively warm temperature readings. Mathematically comparing red and near-infrared reflectances provides a measure of vegetative cov
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Dissertations / Theses on the topic "Plant Canopies Monitoring"

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Hume, Iain H. "Using high frequency satellite imagery to estimate forage vegetation in a semi-arid environment." Phd thesis, 2006. http://hdl.handle.net/1885/151240.

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Book chapters on the topic "Plant Canopies Monitoring"

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Serbin, Shawn P., and Philip A. Townsend. "Scaling Functional Traits from Leaves to Canopies." In Remote Sensing of Plant Biodiversity. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_3.

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AbstractIn this chapter, we begin by exploring the relationship between plant functional traits and functional diversity and how this relates to the characterization and monitoring of global plant biodiversity. We then discuss the connection between leaf functional traits and their resulting optical properties (i.e., reflectance, transmittance, and absorption) and how this related to remote sensing (RS) of functional diversity. Building on this, we briefly discuss the history of RS of functional traits using spectroscopy and imaging spectroscopy data. We include a discussion of the key conside
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Santeramo, F. G., T. Balezentis, and M. Tappi. "Weather and Yield Index-Based Insurance Schemes in the EU Agriculture: A Focus on the Agri-CAT Fund." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_3.

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Abstract Agriculture is the most vulnerable sector to climate change, e.g., temperatures or rainfall may significantly affect the crop yields, also leading the proliferation of pathogens and hence pests and diseases [1]. The total economic losses from weather- and climate-related have caused damages reaching nearly 487 billion of euros in EEA member countries since 1980, and just 3% of all events are responsible for 60% of economic losses [2]. Extreme weather events such as heavy precipitation, flood, drought, frost, heat, and strong wind are more and more frequent, intense, long-lasting, and
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Reports on the topic "Plant Canopies Monitoring"

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Raikow, David, Jacob Gross, Amanda McCutcheon, and Anne Farahi. Trends in water quality and assessment of vegetation community structure in association with declining mangroves: A condition assessment of American Memorial Park. National Park Service, 2023. http://dx.doi.org/10.36967/2301598.

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American Memorial Park (AMME) in Saipan contains a rare mangrove wetland that is known to support several endangered species. Through monitoring water quality and vegetation characteristics of the wetland for >10 years we documented a declining mangrove population, an increase in invasive plant species, and declining surface water salinity. Comprehensive surveys conducted in 2014 and 2019 quantified declines in the plant community observed by park staff. Surface water salinity declined from 2009 to 2018 and no other trend in surface water quality was observed. Over the time period of the pr
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Swan, Megan, and Christopher Calvo. Vegetation trends in pinyon-juniper woodlands in Southern Colorado Plateau Network parks. National Park Service, 2025. https://doi.org/10.36967/2312771.

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The Southern Colorado Plateau Network has monitored vegetation and soils in pinyon-juniper woodlands at Bandelier National Monument (BAND), Grand Canyon National Park (GRCA), and Mesa Verde National Park (MEVE) since 2007. This report analyzes 15 years of data on site characteristics and changes in selected indicators. Overall, MEVE and GRCA exhibited similar conditions in Pinyon-Juniper woodlands, with sparsely vegetated understories and dense canopies dominated by Utah juniper (Juniperus osteosperma) and two-needle pinyon pine (Pinus edulis). In contrast, BAND had a more diverse understory w
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