A GIS-based protocol for the simulation and evaluation of realistic 3-D thinning scenarios in recreational forest management

Lin, Chinsu; Thomson, Gavin; Hung, Shih-Hsiang; Lin, Yu-Dung

doi:10.1016/j.jenvman.2012.09.001

Cited by 9 publications

(3 citation statements)

References 22 publications

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“…At present, there are two stimuli-presenting modes. One is to model and compose the scene using pictures through a variety of landscape elements, using computer-aided design (CAD), Geographic Information System (GIS) and other software, and then to construct a static or dynamic virtual digital landscape [19,20,21,22]. The other is to connect landscape materials collected on the sites or artificially synthesized materials (such as panoramic photos and venue recordings) to VR headsets, such as a VR headphone and VR earphone, so that participants can immerse themselves in the virtual world through VR devices, expecting to have the same experiences as the real landscape [23,24,25].…”

Section: Introductionmentioning

confidence: 99%

Comparisons of Landscape Preferences through Three Different Perceptual Approaches

Gao

Liang

Chen

et al. 2019

IJERPH

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In order to identify the effects and divergences of the different landscape perception approaches on landscape preference, this study investigated people’s preferences for urban green spaces with different vegetation structures in the early spring through using three approaches, which were on-site survey, photo elicitation and VR technology. The results showed that: (a) There were significant differences among the three approaches for landscape preference, among which there was a significant difference between VR technology and the other two approaches, while no differences between on-site survey and photo elicitation were found. (b) The respondents showed significant differences in their preferences for the urban green spaces with the different vegetation structures through VR technology, and the semi-open green space received the highest preference score. (c) Whatever the approach employed, there were no significant differences in gender and professional background groups for landscape preference. (d) In the comparisons of the three different approaches, the respondents were more willing to choose physical recreational activities to be conducted in the early spring. Based on the above results, the three approaches of landscape perception were divergent and irreplaceable. It is, thus, suggested that the approach of landscape perception should be carefully selected for a specific landscape in a certain season, so as to provide a scientific basis for the evaluation of landscape perception and preference in the future.

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Section: Introductionmentioning

confidence: 99%

Comparisons of Landscape Preferences through Three Different Perceptual Approaches

Gao

Liang

Chen

et al. 2019

IJERPH

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“…Así, la regresión logística realizada en un entorno de SIG, ha permitido la gestión de medidas encaminadas a la protección de ecosistemas (Fagerholm et al, 2016;. Semeraro et al, 2016), y en particular al manejo de bosques (Zambelli et al, 2012;Eugenio et al, 2016;Lin, Thomson, Hung, & Lin, 2012).…”

Section: Introductionunclassified

Áreas Probables De Degradación-Deforestación De La Cubierta Vegetal en Chihuahua, México. Una Exploración Mediante Regresión Logística Para El Período 1985-2013

et al. 2017

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RESUMENEl objetivo de este trabajo fue identificar las áreas con riesgo de degradación-deforestación de la cubierta forestal en el oeste de Chihuahua, en el norte de México, utilizando un modelo de regresión logística. Se generó la regresión entre once capas de información geográfica (biofísica y socioeconómica) y áreas deforestadas de cuatro municipios del estado durante el período 1985-2013. Los resultados indican un buen poder predictivo del modelo generado (Pseudo-R2 de McFadden de 0.24), e identifican la tenencia de la tierra, el grado de marginación y su comportamiento temporal, la aptitud agrológica del suelo y la pendiente del terreno, como las variables con mayor peso en la predicción de zonas susceptibles de degradación y pérdida de bosques. Estos hallazgos facilitan el manejo ambiental de áreas boscosas y la mitigación de causas en zonas que están sufriendo este proceso. Palabras clave: Deforestación, Chihuahua, Predicción, Regresión Logística. PROBABLE AREAS OF DEGRADATION-DEFORESTATION OF VEGETATION COVERAGE IN CHIHUAHUA, MEXICO. AN EXPLORATION THROUGH LOGISTIC REGRESSION FOR THE PERIOD 1985-2013. ABSTRACTThe objective of this work was to identify the areas with risk of degradation-deforestation of forest cover in the west of Chihuahua, in the north of Mexico, using a logistic regression model. It was generated the regression between eleven layers of geographic information (biophysical and socioeconomic) and deforested areas of four municipalities of the state during the period 1985-2013. The results indicate a good predictive power of the generated model (McFadden's Pseudo-R2 of 0.24), and identify land tenure, degree of marginalization and its temporal behavior, soil agrological suitability and terrain slope, as the variables with the biggest weight in

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“…Such high spatial resolution (HSR) images can be used to support forest management, for example, by examining biological habitat and estimating tree growth and harvestable timber volume. Other uses include delineation of tree crowns [ 1 – 5 ], tree parameter estimation [ 6 , 7 ], biodiversity exploration [ 8 ], the identification of herbaceous plant species [ 9 ], and thinning scenario simulation in recreational forest management [ 10 ]. Recently, many studies have focused on species-level forest classification using various satellite images, such as airborne/satellite MS images [ 11 – 14 ], airborne lidar with MS images [ 15 – 18 ], and ground-based lidar or airborne/in situ hyperspectral data [ 19 – 24 ].…”

Section: Introductionmentioning

confidence: 99%

Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images

et al. 2015

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This paper proposes a supervised classification scheme to identify 40 tree species (2 coniferous, 38 broadleaf) belonging to 22 families and 36 genera in high spatial resolution QuickBird multispectral images (HMS). Overall kappa coefficient (OKC) and species conditional kappa coefficients (SCKC) were used to evaluate classification performance in training samples and estimate accuracy and uncertainty in test samples. Baseline classification performance using HMS images and vegetation index (VI) images were evaluated with an OKC value of 0.58 and 0.48 respectively, but performance improved significantly (up to 0.99) when used in combination with an HMS spectral-spatial texture image (SpecTex). One of the 40 species had very high conditional kappa coefficient performance (SCKC ≥ 0.95) using 4-band HMS and 5-band VIs images, but, only five species had lower performance (0.68 ≤ SCKC ≤ 0.94) using the SpecTex images. When SpecTex images were combined with a Visible Atmospherically Resistant Index (VARI), there was a significant improvement in performance in the training samples. The same level of improvement could not be replicated in the test samples indicating that a high degree of uncertainty exists in species classification accuracy which may be due to individual tree crown density, leaf greenness (inter-canopy gaps), and noise in the background environment (intra-canopy gaps). These factors increase uncertainty in the spectral texture features and therefore represent potential problems when using pixel-based classification techniques for multi-species classification.

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A GIS-based protocol for the simulation and evaluation of realistic 3-D thinning scenarios in recreational forest management

Cited by 9 publications

References 22 publications

Comparisons of Landscape Preferences through Three Different Perceptual Approaches

Comparisons of Landscape Preferences through Three Different Perceptual Approaches

Áreas Probables De Degradación-Deforestación De La Cubierta Vegetal en Chihuahua, México. Una Exploración Mediante Regresión Logística Para El Período 1985-2013

Classification of Tree Species in Overstorey Canopy of Subtropical Forest Using QuickBird Images

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