Estimation of forest structural parameters using 5 and 10 meter SPOT-5 satellite data

Wolter, Peter T.; Townsend, Philip A.; Sturtevant, Brian R.

doi:10.1016/j.rse.2009.05.009

Cited by 112 publications

(113 citation statements)

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“…In general, as rule of thumb, 25-30 m SAR spatial resolution or 25 m LiDAR footprint diameter are required to capture vegetation structure for biodiversity application (Bergen et al 2009). Other promising alternatives to active sensor data have included multispectral or hyperspectral data, mainly using neighbourhood statistics, spectral indices, or texture features (Wolter et al 2009;Kayitakire et al 2006;Cho et al 2009;White et al 2010;Petrou et al 2012).…”

Section: Forestry Monitoringmentioning

confidence: 99%

“…Although LiDAR data are effective in vertical forest structure characterization, their repeated applicability is limited by high costs (Wolter et al 2009), technical challenges (Nagendra et al 2013), and restricted understanding on interactions between LiDAR beams and vegetation (Koch 2010). High costs are mainly related to the need for airborne campaigns, since satellite LiDAR data are limited.…”

Section: Forestry Monitoringmentioning

confidence: 99%

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Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities.

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Section: Forestry Monitoringmentioning

confidence: 99%

Section: Forestry Monitoringmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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“…De entre todas las medidas de textura, se eligió el variograma por su simplicidad y eficiencia a la hora de cuantificar patrones espaciales, los cuales están relacionados con la estructura del dosel forestal (St-Onge et al, 1998;Wolter et al, 2009). El cálculo del variograma consistió en la determinación de las semi-varianzas de los niveles digitales de la imagen en función de la distancia.…”

Section: Análisis Textural De Imágenesunclassified

“…Los modelos de variograma teórico más utilizados son el esférico, el exponencial y el lineal, considerando o no el efecto pepita, o como alternativa, combinaciones de ellos. En base a las conclusiones de estudios previos consultados (Curran, 1988;McBratney y Webster, 1986;Rebelo, 1999;O'Dwyer, 2002;Zawadzki et al, 2005;Wolter et al, 2009), se seleccionaron los siguientes modelos: esfé-rico (-s), esférico con efecto pepita (-s-n), esférico más lineal (-s-ul), esférico más lineal con efecto pepita (-sn-ul), exponencial (-e), exponencial con efecto pepita (-e-n), exponencial más lineal (-e-ul) y exponencial más lineal con efecto pepita (-e-n-ul); que fueron calculados sobre una submuestra representativa de imágenes. Dicha submuestra estuvo compuesta por 10 imágenes de cada serie que cubrían todo el rango de densidades de masa y también la presencia de espaciamientos regulares (repoblaciones).…”

Section: Análisis Textural De Imágenesunclassified

“…Dicha información se utilizó para mejorar los resultados de la clasificación de imágenes de baja resolución. Wolter et al (2009) realizaron estimaciones y cartografía de variables forestales (diámetro de copa, diámetro normal, altura total, etc.) a partir de imágenes SPOT-5 (de 5 y 10 m de píxel) utilizando estadísticas de vecindad, entre las que se encontraba el variograma, obteniendo resultados precisos para los valores medios de dichas variables.…”

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High spatial resolution images for the analysis of the spatial structure of Pinus pinaster Aiton stands in Madrid (Spain)

Miguel

Gutiérrez²,

Alonso³

2009

For. syst.

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A pesar del amplio uso que muchas administraciones forestales hacen de los datos procedentes de sensores aerotransportados y satelitales, y de las innumerables ventajas que éstos suponen (Zawadzki et al., 2005; McRoberts y Tomppo, 2007), no puede decirse que se haya alcanzado un techo en el uso de estos sistemas para la estimación de ciertas variables forestales. Todavía se precisan medidas consistentes y fiables de la estructura de las masas forestales que puedan ser- ResumenEn este trabajo se aborda el análisis de la estructura espacial de las masas de Pinus pinaster Aiton de la Comunidad de Madrid mediante imágenes de alta resolución espacial, así como la asociación existente entre algunos índices de textura derivados del variograma, y ciertas características dasométricas obtenidas a partir de parcelas de campo. Para ello se utilizaron, ortofotografías y una imagen de satélite IKONOS, correspondientes a puntos en los que se localizan parcelas de muestreo del Inventario Forestal Nacional (IFN). El análisis de las imágenes se fundamenta en la geoestadística y más concretamente en el uso del variograma. Se calculan variogramas experimentales a partir de las distintas imágenes, para a continuación, calcular el correspondiente variograma ideal y realizar la extracción de los parámetros del variograma, con los que se trata de caracterizar la estructura de las masas estudiadas para diferentes resoluciones espaciales. Como resultado del estudio se han encontrado algunas asociaciones significativas entre parámetros de los variogramas y variables dasométricas, pero de escaso poder predictivo, lo que indica la elevada dificultad en la aplicación de este tipo de técnicas en topografías complejas y masas espacialmente heterogéneas, como las propias de los bosques mediterráneos.Palabras clave: fotografía aérea, IKONOS, geoestadística, variograma, inventario forestal. AbstractHigh spatial resolution images for the analysis of the spatial structure of Pinus pinaster Aiton stands in Madrid (Spain) This paper analyses the spatial structure of the Pinus pinaster Aiton stands within Madrid province (Central Spain) by means of high spatial resolution images, as well as the relationship between texture indexes obtained from variograms, and dasometric features of forest stands. In order to carry out this research, some orthophotographs and an IKONOS satellite image were used. All these images corresponded to locations of the Spanish National Forest Inventory (NFI) sample plots for the species of interest. Image analysis was based on geostatistic tools and particularly on the variogram. Experimental variograms were calculated using the different data sets. The following step consisted on f itting mathematical functions to them in order to produce ideal variograms. These models were used to extract a set of variogram variables that might be useful for characterizing forest stands at different spatial resolutions. As a result, some significant relationships between variogram parameters and dasometric variables were found, but of limi...

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Soil organic matter composition and quality across fire severity gradients in coniferous and deciduous forests of the southern boreal region

et al. 2015

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Recent patterns of prolonged regional drought in southern boreal forests of the Great Lakes region, USA, suggest that the ecological effects of disturbance by wildfire may become increasingly severe. Losses of forest soil organic matter (SOM) during fire can limit soil nutrient availability and forest regeneration. These processes are also influenced by the composition of postfire SOM. We sampled the forest floor layer (i.e., full organic horizon) and 0-10 cm mineral soil from stands dominated by coniferous (Pinus banksiana Lamb.) or deciduous (Populus tremuloides Michx.) species 1-2 months after the 2011 Pagami Creek wildfire in northern Minnesota. We used solid-state 13 C NMR to characterize SOM composition across a gradient of fire severity in both forest cover types. SOM composition was affected by fire, even when no statistically significant losses of total C stocks were evident. The most pronounced differences in SOM composition between burned and unburned reference areas occurred in the forest floor for both cover types. Carbohydrate stocks in forest floor and mineral horizons decreased with severity level in both cover types, whereas pyrogenic C stocks increased with severity in the coniferous forest floor and decreased in only the highest severity level in the deciduous forest floor. Loss of carbohydrate and lignin pools contributed to a decreased SOM stability index and increased decomposition index. Our results suggest that increases in fire severity expected to occur under future climate scenarios may lead to changes in SOM composition and dynamics with consequences for postfire forest recovery and C uptake.

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Estimation of forest structural parameters using 5 and 10 meter SPOT-5 satellite data

Cited by 112 publications

References 109 publications

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

High spatial resolution images for the analysis of the spatial structure of Pinus pinaster Aiton stands in Madrid (Spain)

Soil organic matter composition and quality across fire severity gradients in coniferous and deciduous forests of the southern boreal region

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