Review of forestry oriented multi-angular remote sensing techniques

Fassnacht, Fabian Ewald; Koch, Bárbara

doi:10.1505/146554812802646602

Cited by 9 publications

(6 citation statements)

References 94 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Radiative transfer models have shown efficient performance on the estimation of canopy gap fraction and biochemistry [ 43 , 44 ]. The multi-angular remote sensing datasets have a particular capability of capturing structural information and enable wider applications in ecology and terrestrial monitoring [ 45 , 46 , 47 ]. The spectral indices derived from multi-angular observations are promising techniques that can be used to obtain vegetation structural attributes [ 48 , 49 , 50 ].…”

Section: Discussionmentioning

confidence: 99%

Vegetation Structure Index (VSI): Retrieving Vegetation Structural Information from Multi-Angular Satellite Remote Sensing

Sharma

2021

J. Imaging

View full text Add to dashboard Cite

Utilization of the Bidirectional Reflectance Distribution Function (BRDF) model parameters obtained from the multi-angular remote sensing is one of the approaches for the retrieval of vegetation structural information. In this research, the potential of multi-angular vegetation indices, formulated by the combination of multi-spectral reflectance from different view angles, for the retrieval of forest above-ground biomass was assessed in the New England region. The multi-angular vegetation indices were generated by the simulation of the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo Model Parameters Product (MCD43A1 Version 6)-based BRDF parameters. The effects of the seasonal (spring, summer, autumn, and winter) composites of the multi-angular vegetation indices on the above-ground biomass, the angular relationship of the spectral reflectance with above-ground biomass, and the interrelationships between the multi-angular vegetation indices were analyzed. Among the existing multi-angular vegetation indices, only the Nadir BRDF-adjusted NDVI and Hot-spot incorporated NDVI showed significant relationship (more than 50%) with the above-ground biomass. The Vegetation Structure Index (VSI), newly proposed in the research, performed in the most efficient way and explained 64% variation of the above-ground biomass, suggesting that the right choice of the spectral channel and observation geometry should be considered for improving the estimates of the above-ground biomass. In addition, the right choice of seasonal data (summer) was found to be important for estimating the forest biomass, while other seasonal data were either insensitive or pointless. The promising results shown by the VSI suggest that it could be an appropriate candidate for monitoring vegetation structure from the multi-angular satellite remote sensing.

show abstract

Section: Discussionmentioning

confidence: 99%

Vegetation Structure Index (VSI): Retrieving Vegetation Structural Information from Multi-Angular Satellite Remote Sensing

Sharma

2021

J. Imaging

View full text Add to dashboard Cite

show abstract

“…On the contrary, viewing from the forward direction at the SPP that is opposite to the sun presents the largest amount of shadows, which is the so called "darkspot". Observations at SPP are helpful to assess the canopy structure of forests, since the differences in the forward and backward directions are dependent on the horizontal and vertical structure of the observed objects [34]. The anisotropic effect of the canopy BRF is generally smaller at PP, since neither the brightest "hotspot" nor the darkest "darkspot" exists at this plane, which, however, has its own advantages for VHR imagery applications on the forest canopy.…”

Section: Methodsmentioning

confidence: 99%

Effects of Mixture Mode on the Canopy Bidirectional Reflectance of Coniferous–Broadleaved Mixed Plantations

Lin

Wen

et al. 2022

Forests

View full text Add to dashboard Cite

One of the main initiatives for China to achieve the goal of being carbon neutral before 2060 is transforming monocultures into mixed plantations in subtropical China, because mixed forests possess a higher quality than monocultures in various ways. Very high spatial resolution (VHR) satellite imagery is very promising to precisely monitor the transformation process under the premise of clarifying the canopy reflectance anisotropy of mixed plantations. However, it is almost impossible to understand the canopy reflectance anisotropy of mixed plantations with real satellite data due to the extreme lack of multiangular VHR satellite images. In this study, the effects of the mixture mode on the canopy bidirectional reflectance factor (BRF) were comprehensively analyzed with simulated VHR images. The three-dimensional (3D) Discrete Anisotropic Radiative Transfer model (DART) was used to construct a pure coniferous scene, a pure broadleaved scene, and 27 coniferous–broadleaved mixed plantation scenes containing 3 mixture patterns (i.e., mixed by single trees, mixed by stripes, and mixed by patches) and 9 mixing proportions (i.e., from 10% to 90% with the interval of 10%), and to simulate red (R) and near-infrared (NIR) VHR images for these 3D scenes at both the solar principal plane (SPP) and perpendicular plane (PP) under different solar-viewing geometries. Negative correlations were generally found between the canopy BRF and the ratio of conifers in a mixed stand. The anisotropy of conifer dominated plantations is more prominent than broadleaf dominated plantations, especially for the single tree mixture. Although the level of anisotropy is much lower for PP than SPP, it should not be ignored, especially for the R band. Observations under large viewing zenith angles at PP are more preferred to study the effect of mixing proportions, followed by forward observations at SPP. The R band image has higher potential to distinguish mixture patterns for broadleaf-dominated situations, while the NIR band image has a higher potential for conifer-dominated situations. Furthermore, the canopy BRF generally increases with the solar zenith angle, and one meter can be considered as the optimal spatial resolution for the optical monitoring of the mixture mode. The findings of the current study add some valuable theoretical knowledge for the accurate monitoring of coniferous–broadleaved mixed plantations with VHR imagery.

show abstract

“…Vannier et al, 2011). Par contre, il n'existe pas d'études qui se focalisent sur l'apport de données multi-angulaires dans ce contexte bien que l'usage de celles-ci ne soit pas nouveau en foresterie (Fassnacht et Koch 2012).…”

Section: Travaux Antérieursunclassified

La télédétection pour la cartographie de la trame verte en milieu agricole. Evaluation des potentialités d’images multi-angulaires à très haute résolution spatiale

Massé¹,

Collard²,

May³

et al. 2012

Revue internationale de géomatique

View full text Add to dashboard Cite

Dans cet article, nous proposons d'évaluer les potentialités de l'imagerie satellitaire à très haute résolution spatiale pour cartographier la composante arborée de la Trame Verte en milieu agricole. L'identification des formations ligneuses incluant les haies et les arbres isolés est réalisée à partir de données multi-angulaires WorldView-2 en comparant deux approches de classification supervisée : modèle de mélange gaussien et méthode contextuelle ICM. Les résultats montrent de bonnes performances en exploitant les deux vues du couple stéréoscopique (kappa de 0,88) avec un gain de 13 à 22% par rapport à l'utilisation d'une seule vue. La qualité d'extraction des haies varie selon le type de haie, le voisinage des objets, les ombres et les effets de la visée oblique. Les différences de performance entre les méthodes de classification sont quant à elle négligeables.

show abstract

Review of forestry oriented multi-angular remote sensing techniques

Cited by 9 publications

References 94 publications

Vegetation Structure Index (VSI): Retrieving Vegetation Structural Information from Multi-Angular Satellite Remote Sensing

Vegetation Structure Index (VSI): Retrieving Vegetation Structural Information from Multi-Angular Satellite Remote Sensing

Effects of Mixture Mode on the Canopy Bidirectional Reflectance of Coniferous–Broadleaved Mixed Plantations

La télédétection pour la cartographie de la trame verte en milieu agricole. Evaluation des potentialités d’images multi-angulaires à très haute résolution spatiale

Contact Info

Product

Resources

About