The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration

Almeida, Danilo Roberti Alves de; Stark, Scott C.; Chazdon, Robin L.; Nelson, Bruce; César, Ricardo G.; Meli, Paula; Görgens, Eric Bastos; Duarte, Marina Melo; Valbuena, Rubén; Moreno, Vanessa S.; Mendes, Alex; Amazonas, Nino Tavares; Gonçalves, Nathan B.; Silva, Carlos Alberto; Schietti, Juliana; Brancalion, Pedro Henrique Santin

doi:10.1016/j.foreco.2019.02.002

Cited by 95 publications

(98 citation statements)

References 48 publications

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“…In order to further improve the accuracy and quality of these data and to generate a best-fitting surface, interpolation and modulation methods could be used [30]. LiDAR sensors offers the possibility to penetrate the forest canopy which gives the ability to accurately measure structural canopy parameters, such as forest height, canopy openness and leaf area density along the entire vertical profile [31].…”

Section: Lidar Sensorsmentioning

confidence: 99%

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

et al. 2020

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Currently, climate change poses a global threat, which may compromise the sustainability of agriculture, forestry and other land surface systems. In a changing world scenario, the economic importance of Remote Sensing (RS) to monitor forests and agricultural resources is imperative to the development of agroforestry systems. Traditional RS technologies encompass satellite and manned aircraft platforms. These platforms are continuously improving in terms of spatial, spectral, and temporal resolutions. The high spatial and temporal resolutions, flexibility and lower operational costs make Unmanned Aerial Vehicles (UAVs) a good alternative to traditional RS platforms. In the management process of forests resources, UAVs are one of the most suitable options to consider, mainly due to: (1) low operational costs and high-intensity data collection; (2) its capacity to host a wide range of sensors that could be adapted to be task-oriented; (3) its ability to plan data acquisition campaigns, avoiding inadequate weather conditions and providing data availability on-demand; and (4) the possibility to be used in real-time operations. This review aims to present the most significant UAV applications in forestry, identifying the appropriate sensors to be used in each situation as well as the data processing techniques commonly implemented.

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Section: Lidar Sensorsmentioning

confidence: 99%

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

et al. 2020

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“…Tools such as drones and unmanned aerial vehicles (UAVs) enable the creation of high-precision models of the actual landscape with appropriate information density and position reference, especially in the vertical dimension [14]. It has been found that drones equipped with lidar can acquire close-to-real 3D information with high efficiency [15,16]. Photogrammetry through UAVs equipped with pure color and infrared imagers has significant advantages of high-speed data collection and affordability [17].…”

Section: Introductionmentioning

confidence: 99%

Suitability Assessment of the Tools Under a Three-Dimension System of Landscape Monitoring: A Case Study in the NWHS of Bogda

Yang

2020

Sustainability

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Landscapes provide significant ecosystem service value in Natural World Heritage Sites (NWHSs) and are required to be preserved by regular monitoring and evaluation. It is vital to choose appropriate monitoring tools according to local conditions to guarantee the process is effective and efficient. This study aims to find out the spatial suitability of monitoring tools under a three-dimension system of space-based monitoring, sky-based monitoring, and ground-based monitoring. A suitability assessment was conducted from three aspects—the monitoring environment, object, and effect—from which typical differences existed among the three types of tools. Nine indicators were finalized, in which eight were classified and scored using the Delphi method with objectivity, and the remaining indicator was processed subjectively by quantifying the different monitoring effects on different landscape units by each of the tools. The method was verified using a case study in Bogda of Xinjiang Tianshan through overlay analysis in ArcGIS. The results showed an apparently stepped distribution characteristic related to altitude, where space-based monitoring zones are located in regions of high altitude, and the landscapes in low-altitude regions had the best monitoring effects using the ground-based tool and sky-based tool. Combined with the distribution characteristics of the 3-level protected zones, the results show a consistency with reality and could help planners to strategically deploy monitoring sites and allocate them advisable monitoring facilities and staffing.

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“…Eucalypts species are cultivated for various purposes, such as renewable energy source, medicinal use and pollution control [10,11]. The use of geoprocessing and remote sensing technologies to monitor forest cover attributes, restoration and measurement is a must, and this practice is increasingly used by researchers [12].…”

Section: Introductionmentioning

confidence: 99%

Spectral Response of Eucalyptus saligna under Water Stress in Southern Brazil

Melo

Santos

Silva

et al. 2019

JEAI

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The present work aims to assess the effect of water stress on the reflectance emitted by leaves of Eucalyptus saligna individuals. The design was completely randomized and the study comprised 30 subjects who underwent 5 cycles of drought simulation, 45 days each. Five individuals were submitted to water deficit treatment and five were used as controls, remaining in adequate water conditions. The experiment and data collection were performed in the external facilities of the forest management laboratory of the Federal University of Santa Maria, Rio Grande do Sul, Brazil. Which it comprised the period from September 2014 to April 2015. Spectral information was collected from 24-month-old tree individuals in adequate water and water stress situations by means of FieldSpec®3 spectroradiometer. Subsequently, the spectral data for the electromagnetic spectrum range from 400 nm to 1700 nm were processed and analyzed. The resulting spectral behavior varied between water stress cycles. In the 450 nm wavelength range, the reflectances ranged from 3.8% to 7.4%, at 550 nm from 7.9% to 14% and at 650 nm from 4.8% to 8.8%. In the near infrared region, in the 900 nm to 1300 nm range, the reflectances ranged from 28% to 62%. The spectral response of E. saligna showed minimal differences when compared to healthy green vegetation, even though it was exposed to water deficit situations. From the information obtained, this research can be used as a parameter for comparative analysis between species belonging to the genus Eucalyptus sp.

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The effectiveness of lidar remote sensing for monitoring forest cover attributes and landscape restoration

Cited by 95 publications

References 48 publications

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities

Suitability Assessment of the Tools Under a Three-Dimension System of Landscape Monitoring: A Case Study in the NWHS of Bogda

Spectral Response of Eucalyptus saligna under Water Stress in Southern Brazil

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