The spectral signature of coniferous forests: the role of stand structure and leaf area index

Rautiainen, Miina

doi:10.14214/df.6

Cited by 12 publications

(10 citation statements)

References 143 publications

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“…Basically measurements at two different heights close to the forest floor are sufficient to determine the power law regression parameter values of individual forest plots. However, because the radiation propagation characteristics of different forest stands vary and there are practical challenges in getting a sufficiently large height difference for the two measurements to achieve reasonable accuracy for the regression, additional Leaf Area Index (LAI) measurements and canopy scattering modeling (Rautiainen andStenberg 2005, Manninen andStenberg 2008) would improve the forest top albedo results. Since LAI is integrally connected to the transmission of radiation through the forest canopy, the experimental albedo gradient results used in conjunction with collocated ground level LAI measurements and advanced scattering models should together enable reliable forest surface albedo estimations.…”

Section: Discussionmentioning

confidence: 99%

“…Monitoring of boreal forests requires observations on a broad scale both temporally and spatially (Boyd and Danson 2005, Rautiainen 2005, Heiskanen 2008). For surface albedo, there exist dedicated instruments for in situ observations (called albedometers and pyranometers), but it is often unpractical to extend in situ measurements into large spatial or temporal datasets.…”

Section: Introductionmentioning

confidence: 99%

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Measuring the vertical albedo profile of a subarctic boreal forest canopy

Riihelä

Manninen

2008

Silva Fenn.

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The validation of airborne and satellite-derived albedo measurements suffers from the fact that the surface albedo of forest is difficult to measure in-situ over large areas. The goal of this study is to examine whether or not the estimation of the surface albedo of a forest stand from ground level measurements is possible. In addition, knowledge about the vertical behavior of albedo, and therefore transmitted solar radiation, is important in the modeling of interactions of sunlight with the forest canopy. Such modeling is useful for forest growth estimations among other things. To achieve these goals, an albedometer set-up capable of vertical albedo profiling has been used to obtain data from a boreal forest stand in Northern Finland during periods in summer 2006 and winter 2007. The results show a strong relationship between the data and fitted power-law regression curves. Power-law regression fits best likely because of the radiation transmission characteristics of boreal forest.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measuring the vertical albedo profile of a subarctic boreal forest canopy

Riihelä

Manninen

2008

Silva Fenn.

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“…Spectral features are the specific combination of reflected and absorbed electromagnetic radiation at varying wavelengths which can uniquely identify an object. For example, nearinfrared (NIR) wavelengths have been successful applied to estimating vegetation biophysical properties (Rautiainen, 2005). Active sensors, on the other hand, emit energy in order to scan objects and areas, whereupon a passive sensor then detects and measures the radiation that is reflected or backscattered from the target.…”

Section: Automated Data Processingmentioning

confidence: 99%

Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

Bruggemann

Ford

et al. 2011

Journal of Field Robotics

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The conventional manual power line corridor inspection processes that are used by most energy utilities are labor intensive, time consuming, and expensive. Remote sensing technologies represent an attractive and costeffective alternative approach to these monitoring activities. This paper presents a comprehensive investigation into automated remote sensing-based power line corridor monitoring, focusing on recent innovations in the area of increased automation of fixed-wing platforms for aerial data collection and automated data processing for object recognition using a feature fusion process. Airborne automation is achieved by using a novel approach that provides improved lateral control for tracking corridors and automatic real-time dynamic turning for flying between corridor segments; we call this approach PTAGS (Power line Tracking Automatic Guidance System). Improved object recognition is achieved by fusing information from multisensor (LiDAR and imagery) data and multiple visual feature descriptors (color and texture). The results from our experiments and field survey illustrate the effectiveness of the proposed aircraft control and feature fusion approaches. C 2011Wiley Periodicals, Inc.

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“…The dominant method for interpreting vegetation biophysical properties from optical remote sensing data is through spectral vegetation indices. Vegetation indices are combinations of reflectance measured in two or more spectral bands, which aim at estimating canopy biophysical properties through enhancing the spectral contribution of vegetation, while minimizing the contribution of underlying soil or understory vegetation [4].…”

Section: Spectral Properties Of Vegetationmentioning

confidence: 99%

Towards automatic tree crown detection and delineation in spectral feature space using PCNN and morphological reconstruction

Hayward

Zhang

et al. 2009

2009 16th IEEE International Conference on Image Processing (ICIP)

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The application of object-based approaches to the problem of extracting vegetation information from images requires accurate delineation of individual tree crowns. This paper presents an automated method for individual tree crown detection and delineation by applying a simplified PCNN model in spectral feature space followed by post-processing using morphological reconstruction. The algorithm was tested on high resolution multi-spectral aerial images and the results are compared with two existing image segmentation algorithms. The results demonstrate that our algorithm outperforms the other two solutions with the average accuracy of 81.8%.

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The spectral signature of coniferous forests: the role of stand structure and leaf area index

Cited by 12 publications

References 143 publications

Measuring the vertical albedo profile of a subarctic boreal forest canopy

Measuring the vertical albedo profile of a subarctic boreal forest canopy

Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

Towards automatic tree crown detection and delineation in spectral feature space using PCNN and morphological reconstruction

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