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A platform for research: civil engineering, architecture and urbanism
Measuring forest fragmentation using multitemporal remotely sensed data: three decades of change in the Dry Chaco
We introduce an approach based on remotely sensed data to summarize forest fragmentation over time, which specifically accounts for the interdependencies between landscape composition and configuration changes. The proposed method consists of five steps: i) multitemporal landscape sampling, ii) calculation of selected landscape pattern indices, iii) statistical comparison, iv) construction of sampled-based relationship spaces, and v) trajectory analysis. To show how the proposed method works in practice we examined the multitemporal fragmentation of the Arid Chaco forest in central Argentina during the period 1979-2010 using forest maps derived from Landsat images. As shown by our results, the approach provides a consistent framework for the interpretation of landscape structural changes over time. ; Fil: Carranza, María Laura. Università degli Studi del Molise; Italia ; Fil: Frate, Ludovico. Università degli Studi del Molise; Italia ; Fil: Acosta, Alicia T. R. Università degli Studi di Roma; Italia ; Fil: Hoyos, Laura Emilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina ; Fil: Ricotta, Carlo. Universidad de Roma; Italia ; Fil: Cabido, Marcelo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Measuring forest fragmentation using multitemporal remotely sensed data: three decades of change in the Dry Chaco
We introduce an approach based on remotely sensed data to summarize forest fragmentation over time, which specifically accounts for the interdependencies between landscape composition and configuration changes. The proposed method consists of five steps: i) multitemporal landscape sampling, ii) calculation of selected landscape pattern indices, iii) statistical comparison, iv) construction of sampled-based relationship spaces, and v) trajectory analysis. To show how the proposed method works in practice we examined the multitemporal fragmentation of the Arid Chaco forest in central Argentina during the period 1979-2010 using forest maps derived from Landsat images. As shown by our results, the approach provides a consistent framework for the interpretation of landscape structural changes over time. ; Fil: Carranza, María Laura. Università degli Studi del Molise; Italia ; Fil: Frate, Ludovico. Università degli Studi del Molise; Italia ; Fil: Acosta, Alicia T. R. Università degli Studi di Roma; Italia ; Fil: Hoyos, Laura Emilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina ; Fil: Ricotta, Carlo. Universidad de Roma; Italia ; Fil: Cabido, Marcelo Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Córdoba. Instituto Multidisciplinario de Biología Vegetal (p); Argentina
Measuring forest fragmentation using multitemporal remotely sensed data: three decades of change in the Dry Chaco
Carranza, María Laura (author) / Frate, Ludovico (author) / Acosta, Alicia T. R. (author) / Hoyos, Laura Emilia (author) / Ricotta, Carlo (author) / Cabido, Marcelo Ruben (author)
Article (Journal)
Electronic Resource
English
DDC:
710
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