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1. Evaluating biostimulants via high-throughput field phenotyping: Biophysical traits retrieval through PROSAIL inversion

Author:
Giulia Antonucci; Giorgio Impollonia; Michele Croci; Eleonora Potenza; Andrea Marcone; Stefano Amaducci
Source:
Smart agricultural technology 2023 v.3 pp. 100067
ISSN:
2772-3755
Subject:
canopy,   etc   ; artificial intelligence; drought; industry; irrigation; model validation; phenotype; radiative transfer; remote sensing; summer; tomatoes; uncertainty;     Show all 12 Subjects
Abstract:
... Drought management largely depends on the availability of timely, accurate and integrated information about its characteristics. Concurrently, biostimulants could represent a sustainable measure to foster the resilience of cropping systems under water-limited conditions. Nevertheless, scientific recognition of the potential of biostimulants has not grown as fast as the interest from industry: ther ...
DOI:
10.1016/j.atech.2022.100067

2. Vertical propagation of submeso and coherent structure in a tall and dense amazon forest in different stability conditions. PART II: Coherent structures analysis

Author:
Luca Mortarini; Cléo Q. Dias-Júnior; Otávio Acevedo; Pablo E.S. Oliveira; Anywhere Tsokankunku; Matthias Sörgel; Antônio Ocimar Manzi; Alessandro C. de Araújo; Daiane V. Brondani; Ivan Mauricio Cely Toro; Umberto Giostra; Daniela Cava
Source:
Agricultural and forest meteorology 2022 v.322 pp. 108993
ISSN:
0168-1923
Subject:
canopy; canopy height,   etc   ; Obukhov length; autocorrelation; forests; meteorology; turbulent flow; wind speed;     Show all 8 Subjects
Abstract:
... Observations of the vertical structure of the turbulent flow in different stability regimes above and within the Amazon Forest at the Amazon Tall Tower Observatory (ATTO) site have been presented in Part I. Here, the influence of stability on the inception and development of coherent structures is investigated. According to the mixing-layer analogy the coherent vortices that dominate the turbulent ...
DOI:
10.1016/j.agrformet.2022.108993

3. Forest canopy height variation in relation to topography and forest types in central Japan with LiDAR

Author:
Md. Farhadur Rahman; Yusuke Onoda; Kaoru Kitajima
Source:
Forest ecology and management 2022 v.503 pp. 119792
ISSN:
0378-1127
Subject:
canopy gaps; canopy height; forest canopy,   etc   ; Japan; aboveground biomass; analytical methods; ecosystems; forest stands; land use; landscapes; leaves; lidar; models; topography; trees;     Show all 15 Subjects
Abstract:
... Spatial variations of maximum canopy height are key indicators of many ecosystem processes such as above-ground biomass and productivity. With rapid advances in remote sensing techniques, such as airborne laser scanning (ALS), we can now measure canopy height, tree density, and canopy gaps from local to large scales. But these data are yet to be fully exploited for a better understanding of canopy ...
DOI:
10.1016/j.foreco.2021.119792

4. Retrieval of forest canopy height in a mountainous region with ICESat-2 ATLAS

Author:
Shiyun Pang; Guiying Li; Xiandie Jiang; Yaoliang Chen; Yagang Lu; Dengsheng Lu
Source:
Forest ecosystems 2022 v.9 pp. 100046
ISSN:
2197-5620
Subject:
canopy height; forest canopy,   etc   ; biomass; carbon sequestration; forests; landscapes; lidar; models; mountains; uncertainty;     Show all 10 Subjects
Abstract:
... Forest canopy height is one of the important forest parameters for accurately assessing forest biomass or carbon sequestration. ICESat-2 ATLAS provides the potential for retrieval of forest canopy height at global or regional scale, but the current canopy height product (ATL08) has coarse resolution and high uncertainty compared to airborne LiDAR-derived canopy height (hereafter ALCH) in mountaino ...
DOI:
10.1016/j.fecs.2022.100046

5. Evaluation of novel ultrasonic sensor actuated nozzle in center pivot irrigation systems

Author:
Hadi A. Al-agele; Hisham Jashami; Chad W. Higgins
Source:
Agricultural water management 2022 v.262 pp. 107436
ISSN:
0378-3774
Subject:
canopy; canopy height,   etc   ; center pivot irrigation; corn; grasses; plant growth; potatoes; surface irrigation; ultrasonics; water management;     Show all 10 Subjects
Abstract:
... Center pivot irrigation systems are used globally to irrigate large fields. They have higher water application efficiency than other sprinkler or surface irrigation approaches, but this water application efficiency may be further improved by dynamically adjusting the nozzle height in response to plant growth and canopy heterogeneities; this approach is referred to as dynamic elevation spray applic ...
DOI:
10.1016/j.agwat.2021.107436

6. Fine Resolution Imagery and LIDAR-Derived Canopy Heights Accurately Classify Land Cover with a Focus on Shrub/Sapling Cover in a Mountainous Landscape

Author:
Lesley Bulluck; Baron Lin; Elizabeth Schold
Source:
Remote Sensing 2022 v.14 no.6 pp. -
ISSN:
2072-4292
Subject:
canopy; canopy height,   etc   ; forests; grasslands; image interpretation; land cover; landscapes; lidar; models; mountains; pastures; shrubs; topography;     Show all 13 Subjects
Abstract:
... Publicly available land cover maps do not accurately represent shrubs and saplings, an uncommon but ecologically relevant cover type represented by woody vegetation <4 m tall. This omission likely occurs because (1) the resolution is too coarse, (2) poor training data are available, and/or (3) shrub/saplings are difficult to discriminate from spectrally similar classes. We present a framework for ...
DOI:
10.3390/rs14061364

7. Automated Delineation of Microstands in Hemiboreal Mixed Forests Using Stereo GeoEye-1 Data

Author:
Linda Gulbe; Juris Zarins; Ints Mednieks
Source:
Remote Sensing 2022 v.14 no.6 pp. -
ISSN:
2072-4292
Subject:
canopy height,   etc   ; automation; humans; trees;     Show all 4 Subjects
Abstract:
... A microstand is a small forest area with a homogeneous tree species, height, and density composition. High-spatial-resolution GeoEye-1 multispectral (MS) images and GeoEye-1-based canopy height models (CHMs) allow delineating microstands automatically. This paper studied the potential benefits of two microstand segmentation workflows: (1) our modification of JSEG and (2) generic region merging (GR ...
DOI:
10.3390/rs14061471

8. Canopy gap characteristics and regeneration patterns in the Białowieża forest based on remote sensing data and field measurements

Author:
D. Dobrowolska; Ż. Piasecka; Ł. Kuberski; K. Stereńczak
Source:
Forest ecology and management 2022 v.511 pp. 120123
ISSN:
0378-1127
Subject:
canopy gaps; canopy height,   etc   ; Betula; Carpinus; administrative management; artificial regeneration; forest dynamics; geometry; models; species diversity; Poland;     Show all 11 Subjects
Abstract:
... Forest dynamics is driven by the formation of gaps, especially in temperate forests. A potentially useful tool for identifying canopy gaps at different spatial scales is remote sensing. Our study used two types of data: (1) high spatial resolution Canopy Height Model (CHM) to detect canopy gaps in the forest and (2) field data to quantify natural and artificial regeneration within the gaps. The st ...
DOI:
10.1016/j.foreco.2022.120123

9. Chemical topping improves the efficiency of spraying harvest aids using unmanned aerial vehicles in high-density cotton

Author:
Keke Yu; Yang Liu; Zhaolong Gong; Yajun Liang; Lin Du; Zhenhua Zhang; Kexin Li; Sen Pang; Xueyuan Li; Lizhen Zhang; Weiming Tan; Mingwei Du; Xiaoli Tian; Zhaohu Li
Source:
Field crops research 2022 v.283 pp. 108546
ISSN:
0378-4290
Subject:
canopy; canopy height,   etc   ; chlorides; cotton; defoliation; droplets; foliar application; heat sums; labor; mepiquat; plant density; research; China;     Show all 13 Subjects
Abstract:
... The cotton defoliation strategy is highly appreciated in Xinjiang, where mechanical harvesting is limited by a large proportion of green leaves and unopened bolls at harvest due to an insufficient temperature sum. Because of a high plant density, the application of defoliants (harvest aids) by tractors is less efficient; thus, unmanned aerial vehicles (UAVs) for spraying harvest aids are becoming ...
DOI:
10.1016/j.fcr.2022.108546

10. An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height

Author:
Junpeng Zhao; Lei Zhao; Erxue Chen; Zengyuan Li; Kunpeng Xu; Xiangyuan Ding
Source:
Remote Sensing 2022 v.14 no.3 pp. -
ISSN:
2072-4292
Subject:
canopy height; forest canopy,   etc   ; aboveground biomass; autocorrelation; carbon sequestration; case studies; forest management; forests; geostatistics; kriging; lidar; satellites; uncertainty;     Show all 13 Subjects
Abstract:
... Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest management activities. Light direction and ranging (LiDAR) is widely used for estimating canopy height. Considering the high cost of acquiring LiDAR data over large areas, we took a two-stage up-scaling app ...
DOI:
10.3390/rs14030568

11. Mapping tree mortality rate in a tropical moist forest using multi-temporal LiDAR

Author:
Claudia Huertas; Daniel Sabatier; Géraldine Derroire; Bruno Ferry; Toby.D. Jackson; Raphaël Pélissier; Grégoire Vincent
Source:
International journal of applied earth observation and geoinformation 2022 v.109 pp. 102780
ISSN:
1569-8432
Subject:
canopy; canopy height,   etc   ; global change; landscapes; lidar; lowlands; mortality; spatial data; topography; tree mortality; tropical rain forests; French Guiana;     Show all 12 Subjects
Abstract:
... Several studies have shown an increase in tree mortality in intact tropical forests in recent decades. However, most studies are based on networks of field plots whose representativeness is debated. We examine the potential of repeated Airborne LiDAR Scanning data to map forest structure change over large areas with high spatial resolution and to detect tree mortality patterns at landscape level.  ...
DOI:
10.1016/j.jag.2022.102780

12. Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods

Author:
Zhilong Xi; Huadong Xu; Yanqiu Xing; Weishu Gong; Guizhen Chen; Shuhang Yang
Source:
Remote Sensing 2022 v.14 no.2 pp. -
ISSN:
2072-4292
Subject:
canopy height; forest canopy,   etc   ; coniferous forests; deciduous forests; decision support systems; lidar; mixed forests; models; synthetic aperture radar; topography; China;     Show all 11 Subjects
Abstract:
... 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 ...
DOI:
10.3390/rs14020364

13. Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data

Author:
Xiaoqiang Liu; Yanjun Su; Tianyu Hu; Qiuli Yang; Bingbing Liu; Yufei Deng; Hao Tang; Zhiyao Tang; Jingyun Fang; Qinghua Guo
Source:
Remote sensing of environment 2022 v.269 pp. 112844
ISSN:
0034-4257
Subject:
canopy height; forest canopy,   etc   ; altimeters; carbon sequestration; climate change; environment; forest ecosystems; forest management; forests; ice; lidar; standard deviation; topography; China;     Show all 14 Subjects
Abstract:
... Spatially continuous estimates of forest canopy height at national to global scales are critical for quantifying forest carbon storage, understanding forest ecosystem processes, and developing forest management and restoration policies to mitigate global climate change. Spaceborne light detection and ranging (lidar) platforms, especially the Global Ecosystem Dynamics Investigation (GEDI) and Ice, ...
DOI:
10.1016/j.rse.2021.112844

14. Improving estimation of LAI dynamic by fusion of morphological and vegetation indices based on UAV imagery

Author:
Lang Qiao; Dehua Gao; Ruomei Zhao; Weijie Tang; Lulu An; Minzan Li; Hong Sun
Source:
Computers and electronics in agriculture 2022 v.192 pp. 106603
ISSN:
0168-1699
Subject:
canopy; canopy height,   etc   ; agriculture; corn; electronics; filling period; leaf area index; milk; models; plant growth; precision agriculture; seedlings; unmanned aerial vehicles; vegetation;     Show all 14 Subjects
Abstract:
... As an important indicator reflecting plant growth and canopy structure, accurate and rapid monitoring of the leaf area index (LAI) is very important for modern precision agriculture. The purpose of this study is to explore the potential of fusion of morphological information and spectral information in multiple growth periods of maize to improve the accuracy of LAI dynamic estimation. The multi-sp ...
DOI:
10.1016/j.compag.2021.106603

15. Automatic Position Estimation Based on Lidar × Lidar Data for Autonomous Aerial Navigation in the Amazon Forest Region

Author:
Roberto Neves Salles; Haroldo Fraga de Campos Velho; Elcio Hideiti Shiguemori
Source:
Remote Sensing 2022 v.14 no.2 pp. -
ISSN:
2072-4292
Subject:
forest canopy,   etc   ; cameras; flight; forests; georeferencing; landscapes; lidar;     Show all 7 Subjects
Abstract:
... In this paper we post-process and evaluate the position estimation of pairs of template windows and geo-referenced images generated from LiDAR cloud point data using the Normalized Cross-Correlation (NCC) method. We created intensity, surface and terrain pairs of images for use with template matching, with 5 m pixel spacing, through binning. We evaluated square and circular binning approaches, wit ...
DOI:
10.3390/rs14020361

16. Flow and Wake Length Downstream of Live Submerged Vegetation Patches: How Do Different Species and Patch Configurations Create Sheltering in Stressful Habitats?

Author:
Loreta Cornacchia; Nicolas Riviere; J. John Soundar Jerome; Delphine Doppler; Félix Vallier; Sara Puijalon
Source:
Water resources research 2022 v.58 no.3 pp. e2021WR030880
ISSN:
0043-1397
Subject:
canopy,   etc   ; hydrodynamics; research; submerged aquatic plants; vegetation; water;     Show all 6 Subjects
Abstract:
... Vegetated canopies modify water conveyance and bed stabilization in aquatic ecosystems, providing shelter for other organisms. The sheltering effect downstream of a canopy is, however, rarely quantified for live vegetation, and it is unknown how this effect is influenced by vegetation patch configuration and characteristics. We measured the sheltering effect of different species and patch configur ...
DOI:
10.1029/2021WR030880

17. Monitoring rice lodging grade via Sentinel-2A images based on change vector analysis

Author:
Qian Sun; Xiaohe Gu; Liping Chen; Xiaobin Xu; Yuchun Pan; Xueqian Hu; Bo Xu
Source:
International journal of remote sensing 2022 v.43 no.5 pp. 1549-1576
ISSN:
1366-5901
Subject:
canopy,   etc   ; Oryza sativa; models; reflectance; rice; vegetation index;     Show all 6 Subjects
Abstract:
... Lodging stress influences the yield, quality, and mechanical harvesting ability of rice (Oryza sativa L.). It is of great significance for the quantitative and objective evaluation of rice yield loss to obtain the rice lodging distribution and grade information rapidly and nondestructively. The purpose of this paper was to establish a remote sensing monitoring method for the grade of rice lodging ...
DOI:
10.1080/01431161.2021.2012293

18. Planning of Commercial Thinnings Using Machine Learning and Airborne Lidar Data

Author:
Tauri Arumäe; Mait Lang; Allan Sims; Diana Laarmann
Source:
Forests 2022 v.13 no.2 pp. -
ISSN:
1999-4907
Subject:
canopy,   etc   ; algorithms; forests; lidar; linear models; prediction; Estonia;     Show all 7 Subjects
Abstract:
... The goal of this study was to predict the need for commercial thinning using airborne lidar data (ALS) with random forest (RF) machine learning algorithm. Two test sites (with areas of 14,750 km² and 12,630 km²) were used with a total of 1053 forest stands from southwestern Estonia and 951 forest stands from southeastern Estonia. The thinnings were predicted based on the ALS measurements in 2019 a ...
DOI:
10.3390/f13020206

19. Prospects of cultivation of Jack pine (Pinus banksiana Lamb.) on sandy soils of natural–technogenic origin in Kyiv Polissia

Author:
Fedir Brovko; Vasyl Yukhnovskyi; Dmytro Brovko; Olha Brovko; Victoria Minder; Yurii Urliuk
Source:
Folia forestalia Polonica 2022 v.64 no.2 pp. 90-99
ISSN:
2199-5907
Subject:
canopy,   etc   ; Pinus banksiana; humus; rhizosphere; sand; soil density;     Show all 6 Subjects
Abstract:
... The aim of the research was to identify the influence of environmental factors inherent in the alluvial and displaced sands of the study region on the growth of the Jack pine and the prospects for its cultivation. We found that the success of growth of Jack pine seedlings on sandy soils depends on a set of factors, which include the presence or absence, in the rhizosphere of sand, of humus impurit ...
DOI:
10.2478/ffp-2022-0009

20. A multi-objective optimization framework for building-integrated PV envelope design balancing energy and cost

Author:
Tharushi I. Samarasinghalage; W.M. Pabasara U. Wijeratne; Rebecca J. Yang; Ron Wakefield
Source:
Journal of cleaner production 2022 v.342 pp. 130930
ISSN:
0959-6526
Subject:
canopy,   etc   ; case studies; cladding; energy; life cycle costing; taste;     Show all 6 Subjects
Abstract:
... The design of building-integrated photovoltaic (BIPV) envelopes involves a large set of envelope-related parameters, PV-related parameters and conflicting performance criteria. Therefore, optimization of BIPV design is crucial and it has become a complex process. Existing BIPV design optimization frameworks lack BIPV product and application type-related variables, and most studies cannot handle la ...
DOI:
10.1016/j.jclepro.2022.130930