Large area forest inventory using Landsat ETM+: A geostatistical approach

Meng, Qingmin; Cieszewski, Chris J.; Madden, Marguerite

doi:10.1016/j.isprsjprs.2008.06.006

Cited by 70 publications

(48 citation statements)

References 38 publications

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“…이를 보완하기 위해 유럽, 북미 FIGURE 1. Study area 등에서는 NFI 자료, 원격탐사 및 GIS 기술을 결합하여 산림탄소저장량을 추정하기 위한 노 력이 활발히 이루어져왔다 (Brown and Gaston, 1995;Reese et al, 2002;Fournier et al, 2003;Freeman et al, 2006;Huiyan et al, 2006;Labrecque et al, 2006;Blackyard et al, 2007;Gjertsen et al, 2007;McRoberts et al, 2007;Sales et al, 2007;Lufafa et al, 2008;Rahman et al, 2008;Wulder et al, 2008;Fuchs et al, 2009;Magnussen et al, 2009;Meng et al, 2009;Nijland et al, 2009;Zhuang et al, 2009). 특히, 유럽에서는 산림탄소저장량 분포 추정을 위해 위성영상 기반의 k-NN (k-Nearest Neighbor) 기법을 많이 활용하고 있으며 (Tomppo and Siitonen, 1991;Reese et al, 2002;Tomppo et al, 2002;Gjertsen et al, 2007;Tomppo et al, 2008;Magnussen et al, 2009) 우리나라에서도 관 련 연구가 최근에 수행된 바 있다 (Yim et al, 2009;Jung et al, 2010 …”

Section: 서 론unclassified

Comparison of Three Kinds of Methods on Estimation of Forest Carbon Stocks Distribution Using National Forest Inventory DB and Forest Type Map

Kim¹,

Roh²,

Kim³

2014

Journal of the Korean Association of Geographic Information Stu

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Section: 서 론unclassified

Comparison of Three Kinds of Methods on Estimation of Forest Carbon Stocks Distribution Using National Forest Inventory DB and Forest Type Map

Kim¹,

Roh²,

Kim³

2014

Journal of the Korean Association of Geographic Information Stu

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“…Este efecto puede ser debido a la menor incertidumbre en la determinación de rango y meseta que presenta este modelo frente al esférico, por lo que consigue mejores correlaciones para la variable dasométrica más fácilmente diferenciable sobre la imagen. Por otro lado, el modelo esfé-rico se ha mostrado como mejor predictor del resto de variables estudiadas, tal y como suele ocurrir en los 1999;Meng et al, 2009;Wolter et al, 2009), especialmente cuando en la imagen domina un patrón determinado (Levesque y King, 1999). En IKONOS-P, el modelo esférico se muestra superior al exponencial si bien en ambos casos los coeficientes de correlación se encuentran alrededor de 0,5.…”

Section: Discusión Modelos Teóricos Y Distancia Máxima De Ajusteunclassified

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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“…From the semivariogram parameters (i.e., range, sill and nugget effect) and the geostatistical interpolator as kriging, it is possible to estimate the variables measured at unsampled locations (MENG et al, 2009). Thus, geostatistics is an important tool in estimating biometric plant features, being able to help in crop management with efficiency and at a low cost (SOUZA et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Space-Time Dependence of Jatropha Growth Parameters Grown in Brazilian Semiarid

et al. 2016

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-Jatropha has emerged as a source of power generation in the semiarid region of Brazil. The objective of this study was to evaluate, using geostatistics, the spatial variability of stem diameter, plant height and seed weight of jatropha (Jatropha curcas L.) grown under rain fed conditions in Serra Talhada, Pernambuco state, Brazil. At 545, 905 and 1265 days after sowing (DAS), the stem diameter and plant height of 340 plants were measured with a digital caliper and a tape measure. At 545 DAS, the fruits of 306 plants were collected, the seeds extracted and their weights measured with a precision balance. For each date analyzed, the spatial dependence of the plant characteristics was evaluated from the adjustment of the experimental semivariogram. The spherical model was adjusted for modeling the spatial distribution of cultural parameters. The range of plant height reduced by an average of 37% from 545 DAS when compared to 905 and 1265 DAS, while for the stem diameter this parameter remained practically constant. Geostatistics can be employed to assist in future sampling and to identify areas with different patterns that can occur in the jatropha planting.Keywords: Geoestatística. Krigagem. Jatropha curcas L. Bioenergia. DEPENDÊNCIA ESPAÇO-TEMPORAL DOS PARÂMETROS DE CRESCIMENTO DO PINHÃO-MANSO CULTIVADO NO SEMIÁRIDO PERNAMBUCANORESUMO -O pinhão-manso vem se destacando como fonte de geração de energia na região Semiárida do Brasil. O objetivo deste trabalho foi avaliar, a partir de técnicas geoestatísticas, a variabilidade espacial do diâmetro caulinar da altura de planta e do peso das sementes de pinhão-manso (Jatropha curcas L.) cultivado em condições de sequeiro no município de Serra Talhada-PE. Aos 545, 905 e 1265 dias após a semeadura (DAS), o diâmetro do caule e a altura de 340 plantas foram medidos com um paquímetro digital e uma trena. Aos 545 DAS, os frutos de 306 plantas foram coletados, as sementes extraídas e os respectivos pesos medidos com uma balança de precisão. Para cada data analisada, foi avaliada a dependência espacial das características das plantas, a partir do ajuste do semivariograma experimental. O modelo esférico foi adequado para modelar a distribuição espacial dos parâmetros da cultura. O alcance da altura de planta reduziu em média 37% a partir 545 DAS quando comparado aos 905 e 1265 DAS, enquanto que, para o diâmetro caulinar esse parâmetro permaneceu praticamente constante. A geoestatística pode ser empregada para auxiliar em futuras amostragens e identificar áreas com diferentes padrões que podem ocorrer no plantio de pinhão-manso.

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Large area forest inventory using Landsat ETM+: A geostatistical approach

Cited by 70 publications

References 38 publications

Comparison of Three Kinds of Methods on Estimation of Forest Carbon Stocks Distribution Using National Forest Inventory DB and Forest Type Map

Comparison of Three Kinds of Methods on Estimation of Forest Carbon Stocks Distribution Using National Forest Inventory DB and Forest Type Map

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

Space-Time Dependence of Jatropha Growth Parameters Grown in Brazilian Semiarid

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