Use of airborne LiDAR and aerial photography in the estimation of individual tree heights in forestry

Suárez, Juan Carlos Pinilla; Ontiveros, Carlos; Smith, Steve; Snape, Stewart

doi:10.1016/j.cageo.2004.09.015

Cited by 178 publications

(105 citation statements)

References 8 publications

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“…The application of airborne LiDAR and high spatial resolution satellite data are limited due to their high cost as well as small coverage (e.g., swath width of Quickbird, Ikonos, Worldview 1, Worldview 2, and Worldview 3 are 16.8 km, 11.3 km, 17.6 km, 16.4 km, and 13.1 km, respectively), though they are promising in certain applications. For instance, LiDAR was reported to provide promising estimates of forest biomass [26][27][28], tree height [29][30][31], and detection of individual tree crowns [32][33][34]. In comparison, the other optical multispectral satellite data of lower spatial resolution had a relatively large coverage area (e.g., the swath width at the nadir of RapidyEye, SPOT-5, Landsat and MODIS is 77 km, 60 km, 185 km, and 2330 km, respectively), which reduced the cost per unit area.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images

Meng

Wang

et al. 2016

Remote Sensing

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Uneven-aged forest management has received increasing attention in the past few years. Compared with even-aged plantations, the complex structure of uneven-aged forests complicates the formulation of management strategies. Forest structural diversity is expected to provide considerable significant information for uneven-aged forest management planning. In the present study, we investigated the potential of using SPOT-5 satellite images for extracting forest structural diversity. Forest stand variables were calculated from the field plots, whereas spectral and textural measures were derived from the corresponding satellite images. We firstly employed Pearson's correlation analysis to examine the relationship between the forest stand variables and the image-derived measures. Secondly, we performed all possible subsets multiple linear regression to produce models by including the image-derived measures, which showed significant correlations with the forest stand variables, used as independent variables. The produced models were evaluated with the adjusted coefficient of determination (R 2 adj ) and the root mean square error (RMSE). Furthermore, a ten-fold cross-validation approach was used to validate the best-fitting models (R 2 adj > 0.5). The results indicated that basal area, stand volume, the Shannon index, Simpson index, Pielou index, standard deviation of DBHs, diameter differentiation index and species intermingling index could be reliably predicted using the spectral or textural measures extracted from SPOT-5 satellite images.

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Section: Introductionmentioning

confidence: 99%

Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images

Meng

Wang

et al. 2016

Remote Sensing

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“…Working characteristics of the system was also produced. In [6], a lidar was used to estimate individual tree heights in forestry applications. The data coming form lidar was accompanied with the aerial photography.…”

Section: Literature Studiesmentioning

confidence: 99%

Development of a Lidar System Based on an Infrared RangeFinder Sensor and SlipRing Mechanism

Bayar

Uludag²

2016

International Journal of Engineering Technologies, IJET

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Abstract-Lidar systems are one of the most important sensor infrastructures in autonomous vehicles and mobile robots. They are used for achieving indoor and outdoor mapping purposes. In the scope of this study, a new perspective to develop a lidar system is proposed. The system developed is constructed based on a low-cost infrared rangefinder sensor, low-cost slipring mechanism designed and manufactured, dc motor and microprocessor. The rangefinder sensor is mounted to a head-structure actuated by a dc motor that continuously rotates with a desired rotational velocity. The data coming from the rangefinder sensor flows through the microprocessor via the slipring. The design concept of the slipring mechanism gives an advantage that the data of the infrared rangefinder sensor can be taken while the sensor continuously rotates. The required power for the sensor can also be supplied by the slipring during motion. The decoding process of the data coming from the rangefinder sensor and motor control task are accomplished using an ATmega based microprocessor. A user interface is also created to communicate with the system and evaluate the performance of the whole structure developed. After conducting many experiments, successful results are obtained. The design steps of the system proposed and the experimental results are presented in this paper.

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“…So, energy returns tend to be produced from the outer layers of the canopy. However, the degree of penetration is ultimately related to a combination of factors such as the sampling density, beam divergence and scanning angle (Suárez et al, 2005). Possible scenarios may be as illustrated in Figure 4 below.…”

Section: Characteristicsmentioning

confidence: 99%

Lidar Remote Sensing for Biomass Assessment

Rosette¹,

Suárez²,

Nelson³

et al. 2012

Remote Sensing of Biomass - Principles and Applications

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Use of airborne LiDAR and aerial photography in the estimation of individual tree heights in forestry

Cited by 178 publications

References 8 publications

Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images

Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images

Development of a Lidar System Based on an Infrared RangeFinder Sensor and SlipRing Mechanism

Lidar Remote Sensing for Biomass Assessment

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