Scaling functions for landscape pattern metrics derived from remotely sensed data: Are their subpixel estimates really accurate?

Saura, Santiago; Castro, S.

doi:10.1016/j.isprsjprs.2007.03.004

Cited by 51 publications

(46 citation statements)

References 45 publications

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“…The key tool of this ecological significance method is quantification using landscape metrics, although there is still some argument about how these landscape metrics should be interpreted. In recent decades, studies have focused on the problems of scale relations [31,49,53,63,66,67], source data accuracy [51,52], and the ecological implications of landscape metrics [31,33,59]. In contrast, the current application of landscape metrics for nature and landscape conservation studies should be based on an interdisciplinary approach; i.e.…”

Section: Discussionmentioning

confidence: 99%

Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area

et al. 2013

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Abstract:The Sitno Natura 2000 Site covers an area of 935,56 hectares. The Sitno region is significant due to the number of rare and endangered species of plants, and as a result is considered a location of great importance to the maintenance of floral gene pools. The study area suffers human impacts in the form of tourism. The main purpose of this study is to the measure landscape elements, determine the ecological significance of habitats within the Sitno area, and from this data, organize the study area into conservation zones. The results of this landscape quantification are numerical values that can be used to interpret the quality of ongoing ecological processes within individual landscape types. Interpretation of this quantified data can be used to determine the ecological significance of landscapes in other study areas. This research examines the habitats of Natura 2000 Sites by a set of landscape metrics for habitat area, size, density, and shape, such as Number of patches (

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Section: Discussionmentioning

confidence: 99%

Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area

et al. 2013

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“…Furthermore, a similar assessment could be made using a digital source map with a different resolution or classification approach. As Saura and Castro (2007) previously demonstrated, this circumstance may affect the results of the landscape pattern assessment. Besides, further research efforts may focus on the other component of scale, extent, which here has not been addressed.…”

Section: Further Researchmentioning

confidence: 92%

Assessing the effect of scale on the ability of landscape structure metrics to discriminate landscape types in Mediterranean forest districts

2010

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Scale is a key concept in landscape ecology. Although several studies have analyzed the effect of scale on landscape structure metrics, there is still a need to focus on the ability of these metrics to discriminate between landscape types at different scales, particularly in Mediterranean forest landscapes. In this paper we assess the scaling behavior and correlation patterns of eight commonly-used landscape metrics in two Spanish forest districts (Pinares in Burgos and Soria, and Alto Tajo in Guadalajara) in order to detect at which grain sizes the landscape type differences are emphasized. This occurred in both districts at fine spatial resolutions (25 m) for the metrics related to shape complexity and the amount of boundaries, while a coarser spatial resolution (500 m) was required for the landscape diversity and mixture metrics, suggesting that the differences in the spatial and compositional diversity of these landscape types are not so large locally (alpha diversity) but amplified at broader scales (gamma diversity). The maximum variability for the fragmentation-related metrics did not appear at the same scale in both districts, because forest fragmentation in the Pinares district is mainly driven by harvesting treatments that operate at considerably different scales from those related to the less intensively managed district of Alto Tajo. Our methodology and results allow identifying and separately assessing those complex land cover mosaics that result from a similar set of biological and social forces and constraints. This should be valuable for an improved forest landscape planning and monitoring with a quantitative ecological basis in the Mediterranean and other temperate areas.Key words: grain size, spatial resolution, minimum mapped unit, variability analysis, metric correlation, forest planning. ResumenEvaluación del efecto de la escala en la capacidad de los índices de estructura del paisaje para discriminar tipos de paisaje en comarcas forestales mediterráneas La escala es un concepto básico en ecología del paisaje. A pesar de que varios estudios han analizado el efecto de la escala en los índices de estructura del paisaje, todavía es necesario profundizar en la capacidad de estos índices para discriminar entre los tipos de paisajes a diferentes escalas, particularmente en los paisajes forestales mediterráne-os. En este artículo analizamos, en dos comarcas forestales españolas (Tierra de Pinares en Burgos y Soria, Alto Tajo en Guadalajara), el comportamiento frente a la escala y los patrones de correlación de ocho de los índices del paisaje más ampliamente utilizados, con el fin de detectar a qué tamaños de grano se enfatizan en mayor medida las diferencias entre los tipos de paisaje. Esto ocurrió en ambas comarcas a las resoluciones espaciales más finas (25 m) para los índices relacionados con la complejidad de formas y cantidad de bordes, mientras que para los índices de diversidad del paisaje y entremezclado espacial se requirió una resolución espacial menor (500 m), lo que sugiere que ...

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“…Few studies have used spatial metrics to differentiate between urban spatial categories, e.g., extracting areas of different population densities (Liu et al, 2006) and areas of different urban land use categories (Herold, Liu, et al, 2003), or have used spatial metrics to indicate physically deprived areas (at the settlement scale) . Although spatial metrics have evolved into a rapidly growing application field in remote sensing (Saura & Castro, 2007), spatial metrics are not often used to support image classification , and the common approach has been to use classified images (categorical maps) for analysis using spatial metrics (Frohn, 2006). However, Frohn (2006) has suggested that the only prerequisite for the use of spatial metrics is the presence of homogeneous patches.…”

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confidence: 99%

Spatial patterns of deprivation in cities of the global south in very high resolution imagery

Kuffer

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Scaling functions for landscape pattern metrics derived from remotely sensed data: Are their subpixel estimates really accurate?

Cited by 51 publications

References 45 publications

Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area

Determination of ecological significance based on geostatistical assessment: a case study from the Slovak Natura 2000 protected area

Assessing the effect of scale on the ability of landscape structure metrics to discriminate landscape types in Mediterranean forest districts

Spatial patterns of deprivation in cities of the global south in very high resolution imagery

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