Tectosedimentary and stratigraphic contex in Meirama's coal bassin (A Coruña, Spain).

[Resumen] La sucesión de Unidades Litoestratigráficas dentro de la Cuenca Noeógena de Meirama, demuestra una compleja evolución Tectosedimentaria. Se constata la presencia de médios deposicionales Lacustres, Fluviales, así como grandes periodos de desarrollo forestal. La influencia tectónica dentro de la cuenca, aparece marcada tanto en etapas resedimentárias, como en etapas Sin- y Postsedimentárias.[Abstract] Lithoestratigraphic units succesion in Meirama's Neogene-Bassin, prove a complex Tectosedimentary evolution. It is defined moving of diverse Lacustrine and Fluvial sedimentary environments, also great periods of woodland development. Tectonic influence into bassin, is trade in diverse stages: Pre-, Syn and Postsedimentary ones

Correlación entre dos secuencias lacustres pliocenas en los sectores marginales de Orce y Gorafe (Depresión de Guadix-Baza. Granada)

Las características sedimentológicas (secuencias deposicionales y megasecuencias), estratigráficas (discontinuidades estatigráficas de la misma edad) y estructurales (sistemas de fracturas de salto en di- rección N70E y N135E) permiten deducir un ambiente lacustre-palustre y unas condiciones ambientales-estructurales correlacionables en los dos extremos de la cuenca de Guadix-Baz

Evolución de fascies abanico aluvial-fluvial-lacustre en el Plioceno de la Depresión de Guadix-Baza

El corte del Río de Gor muestra la evolución lateral de los materiales de la Fm. Guadix (fluvial) a la Fm. Gorafe-Huelago (lacustre). Desde el borde de la cuenca hacia el interior (en 6 km) se reconocen, en los materiales pliocenos, los siguientes medios sedimentarios yuxtapuestos: A. Abanico aluvial medio. B. Abanico aluvial medio. C. Ríos trenzados (braided). D. Meandriforme proximal. E. Meandriforme distal. F. Llanura lutítica. G. Medio lacustr

Contrasting human perceptions of and attitudes towards two threatened small carnivores, Lycalopex fulvipes and Leopardus guigna, in rural communities adjacent to protected areas in Chile

Indexación: Scopus.The interaction between humans and small carnivores is a phenomenon especially frequent in rural fringes, as is the case of communities surrounding natural areas. In Chile, two species of threatened carnivores, the Darwin's Fox and the Guigna, have increased their contact with humans due to human-induced changes in their habitat. The objective of this study was to characterize the interactions of these species with humans by assessing human perceptions and attitudes toward them, and to assess livestock and poultry ownership and management practices in local communities to evaluate their possible roles in the phenomenon. We conducted semi-structured interviews in rural communities adjacent to natural protected areas of two different regions in southern Chile. We found that people have a more positive perception of Darwin's Foxes than Guignas, but both species are considered damaging due to poultry attacks. Livestock and poultry management was generally deficient. Improvements in animal management and education programs could lead to a significant decrease in negative interactions. © Sacristan et al. 2018.https://www.threatenedtaxa.org/index.php/JoTT/article/view/4030/442

Greenhouse Crop Identification from Multi-Temporal Multi-Sensor Satellite Imagery Using Object-Based Approach: A Case Study from Almería (Spain)

A workflow headed up to identify crops growing under plastic-covered greenhouses (PCG) and based on multi-temporal and multi-sensor satellite data is developed in this article. This workflow is made up of four steps: (i) data pre-processing, (ii) PCG segmentation, (iii) binary preclassification between greenhouses and non-greenhouses, and (iv) classification of horticultural crops under greenhouses regarding two agronomic seasons (autumn and spring). The segmentation stage was carried out by applying a multi-resolution segmentation algorithm on the pre-processed WorldView-2 data. The free access AssesSeg command line tool was used to determine the more suitable multi-resolution algorithm parameters. Two decision tree models mainly based on the Plastic Greenhouse Index were developed to perform greenhouse/non-greenhouse binary classification from Landsat 8 and Sentinel-2A time series, attaining overall accuracies of 92.65% and 93.97%, respectively. With regards to the classification of crops under PCG, pepper in autumn, and melon and watermelon in spring provided the best results (Fβ around 84% and 95%, respectively). Data from the Sentinel-2A time series showed slightly better accuracies than those from Landsat 8

Classification of urban areas from GeoEye-1 imagery through texture features based on Histograms of Equivalent Patterns

A family of 26 non-parametric texture descriptors based on Histograms of Equivalent Patterns (HEP) has been tested, many of them for the first time in remote sensing applications, to improve urban classification through object-based image analysis of GeoEye-1 imagery. These HEP descriptors have been compared to the widely known texture measures derived from the gray-level co-occurrence matrix (GLCM). All the five finally selected HEP descriptors (Local Binary Patterns, Improved Local Binary Patterns, Binary Gradient Contours and two different combinations of Completed Local Binary Patterns) performed faster in terms of execution time and yielded significantly better accuracy figures than GLCM features. Moreover, the HEP texture descriptors provided additional information to the basic spectral features from the GeoEye-1's bands (R, G, B, NIR, PAN) significantly improving overall accuracy values by around 3%. Conversely, and in statistic terms, strategies involving GLCM texture derivatives did not improve the classification accuracy achieved from only the spectral information. Lastly, both approaches (HEP and GLCM) showed similar behavior with regard to the training set size applied