Spatio-temporal landscape analysis in mountainous terrain by means of small format photography: a methodological approach

2001 ◽  
Vol 39 (4) ◽  
pp. 885-893 ◽  
Author(s):  
J. Aschenwald ◽  
K. Leichter ◽  
E. Tasser ◽  
U. Tappeiner
Keyword(s):  
Methodological Approach ◽  
Landscape Analysis ◽  
Mountainous Terrain ◽  
Spatio Temporal

scholarly journals Spatially mismatched trophic dynamics: cyclically outbreaking geometrids and their larval parasitoids

2010 ◽  
Vol 6 (4) ◽  
pp. 566-569 ◽  
Author(s):  
Snorre B. Hagen ◽  
Jane U. Jepsen ◽  
Tino Schott ◽  
Rolf A. Ims
Keyword(s):  
Trophic Interactions ◽  
Travelling Waves ◽  
Methodological Approach ◽  
Spatial Dynamics ◽  
Population Cycles ◽  
Trophic Levels ◽  
Trophic Dynamics ◽  
Spatial Mismatch ◽  
Larval Parasitoids ◽  
Spatio Temporal

For trophic interactions to generate population cycles and complex spatio-temporal patterns, like travelling waves, the spatial dynamics must be matched across trophic levels. Here, we propose a spatial methodological approach for detecting such spatial match–mismatch and apply it to geometrid moths and their larval parasitoids in northern Norway, where outbreak cycles and travelling waves occur. We found clear evidence of spatial mismatch, suggesting that the spatially patterned moth cycles in this system are probably ruled by trophic interactions involving other agents than larval parasitoids.

A data-drive model for the assessment of shallow landslides hazard with the integration of satellite soil moisture and rainfall data

2020 ◽  
Author(s):  
Valerio Vivaldi ◽  
Massimiliano Bordoni ◽  
Luca Lucchelli ◽  
Beatrice Corradini ◽  
Luca Brocca ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Methodological Approach ◽  
Return Time ◽  
Shallow Landslides ◽  
Predisposing Factors ◽  
Data Driven ◽  
Probability Of Occurrence ◽  
Triggering Factors ◽  
Triggering Events ◽  
Spatio Temporal

<p>Rainfall-induced shallow landslides are very dangerous phenomena, widespread all over the world, which could provoke significant damages to buildings, roads, facilities, cultivations and, sometimes, loss of human lives. For these reasons, it is necessary assessing the most prone zones in a territory which is particularly susceptible to these phenomena and the frequency of the triggering events, according to the return time of them, which generally correspond to intense and concentrated rainfalls. The most adopted methodologies for the determination of the susceptibility and hazard of a territory are physically-based models, that quantify the hydrological and the mechanical responses of the slopes according to particular rainfall scenarios. Whereas, these methodologies could be applied in a reliable way in little catchments, where geotechnical and hydrological features of the materials affected by shallow failures are homogeneous. Data-driven models could constraints these, even if they are generally built up taking into only the predisposing factors of shallow instabilities, allowing to estimate only the susceptibility of a territory, without considering the frequency of the triggering events. It is then required to consider also triggering factors of shallow landslides to allow these methods to estimate also the probability of occurrence and, then, the hazard. This work presents the development and the implementation of data-driven model able to assses the spatio-temporal probability of occurrence of shallow landslides in large areas by means of a data-driven technique. The model is based on Multivariate Adaptive Regression Technique (MARS), that links geomorphological, hydrological, geological and land use predisposing factors to triggering factors of shallow failures. These triggering factors correspond to soil saturation degree and rainfall amounts, which are available for entire a study area thanks to satellite measures. The methodological approach is testing in 30-40 km<sup>2</sup> wide catchments of Oltrepò Pavese hilly area (northern Italy), where detailed inventories of shallow landslides occurred during past triggering events and corresponding satellite soil moisture and rainfall maps are available. This work was made in the frame of the ANDROMEDA project, funded by Fondazione Cariplo.</p>

scholarly journals Remote sensing of spectral diversity: A new methodological approach to account for spatio-temporal dissimilarities between plant communities

2021 ◽  
Vol 130 ◽  
pp. 108106
Author(s):  
Christian Rossi ◽  
Mathias Kneubühler ◽  
Martin Schütz ◽  
Michael E. Schaepman ◽  
Rudolf M. Haller ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Plant Communities ◽  
Methodological Approach ◽  
Spatio Temporal

scholarly journals Landscape analysis of urban growth patterns in Seremban, Malaysia, using spatio-temporal data

2016 ◽  
Vol 37 ◽  
pp. 012055
Author(s):  
Maher M Aburas ◽  
Sabrina H Abdullah ◽  
Mohammad F Ramli ◽  
Zulfa H As'shari
Keyword(s):  
Urban Growth ◽  
Growth Patterns ◽  
Landscape Analysis ◽  
Temporal Data ◽  
Spatio Temporal

scholarly journals La espacio-temporalidad de los trabajadores agrarios transitorios. Notas para un abordaje teórico-conceptual y metodológico/ The spatio-temporality of temporary agrarian workers. Notes for a theoretical-conceptual and methodological approach

2018 ◽  
Author(s):  
Juan Pablo Venturini ◽  
Hortensia Castro
Keyword(s):  
Latin America ◽  
New Technologies ◽  
Technological Development ◽  
Methodological Approach ◽  
Spatial Dimension ◽  
Temporary Workers ◽  
Temporal Dimension ◽  
Nuevas Tecnologías ◽  
Spatio Temporal ◽  
America Latina

El modelo del agronegocio en América Latina, marcado por el imperativo de flexibilidad, el desarrollo tecnológico y la producción en red ha supuesto profundas transformaciones en el empleo y en las pautas de movilidad territorial de capitales y trabajadores agrarios. Pese a su escasa visibilidad en los estudios recientes, los asalariados transitorios migrantes son un grupo complejo y heterogéneo, presente en una amplia variedad de mercados de trabajo. El objetivo de este artículo es reflexionar sobre la espacialidad de estos trabajadores, desde una perspectiva crítica. Se revisan los estudios sobre los trabajadores transitorios migrantes en América Latina (focalizando en Argentina, México y Brasil), con el fin de examinar el modo en que ha sido abordada la dimensión espacial, tomando como referencia el paso de las miradas estructuralistas sobre la movilidad a las post-estructuralistas. Se presenta un estudio de caso en el la región pampeana argentina, sobre asalariados especializados en nuevas tecnologías. Se desarrolla una propuesta teórico-conceptual y metodológica con eje en el concepto de “arreglo espacio-temporal”, el cual permite abordar de forma integrada y dialéctica los distintos sentidos de la espacialidad, la dimensión espacial y la temporal y las estrategias de los trabajadores en relación con las del capital. Abstract The model of agribusiness in Latin America, marked by the imperative of flexibility, technological development and network production, has led to profound changes in employment and in the patterns of spatial mobility of capital and agrarian workers. Despite their limited visibility in recent studies, migrant temporary agrarian workers are a complex and heterogeneous group, present in a wide variety of labor markets. The aim of this article is to reflect on the spatiality of these workers, from a critical perspective. We review studies referred to migrant temporary workers in Latin America (focusing on Argentina, Mexico and Brazil), in order to examine the way in which the spatial dimension has been approached, taking as reference the passage from structuralist perspectives on mobility to post-structuralist. We present a case study in the Pampas region (Argentina) about workers specialized in new technologies. We offer a theoretical-conceptual and methodological proposal with axis in the concept of “spatio-temporal fix”, which allows to approach in an integrated and dialectical way the different senses of spatiality, the spatial and temporal dimension and the strategies of workers in relation to those of capital.

scholarly journals Monitoring and Landscape Quantification of Uncontrolled Urbanisation in Oasis Regions: The Case of Adrar City in Algeria

2021 ◽  
Vol 5 (2) ◽  
pp. 209-219
Author(s):  
Assoule Dechaicha ◽  
Adel Daikh ◽  
Djamel Alkama
Keyword(s):  
Landscape Metrics ◽  
Satellite Images ◽  
Methodological Approach ◽  
Monitoring And Evaluation ◽  
Temporal Analysis ◽  
Multi Temporal ◽  
Spatio Temporal ◽  
Landsat Satellite ◽  
Landscape Transformations ◽  
The City

Nowadays, uncontrolled urbanisation is one of the major problems facing Algerian oasis regions. The monitoring and evaluation of its landscape transformations remain a key step for any oasis sustainability project. This study highlights the evolution of spatial growth in the city of Adrar in southern Algeria during the period 1986-2016 by establishing a Spatio-temporal mapping and landscape quantification. The methodological approach is based on a multi-temporal analysis of Landsat satellite images for 1986, 1996, 2006 and 2016, and the application of landscape metrics. The results show two opposite spatial trends: significant growth of built-up areas against an excessive loss of palm groves. The landscape metrics allowed the identification of a progressive fragmentation process characterising the palm groves. Thus, the findings of this study show the utility of satellite imagery and landscape metrics approach for monitoring urbanisation patterns and assessing their impacts on oasis ecosystems.

Using satellite soil moisture and rainfall data for the monitoring and the prediction of natural hazards

2021 ◽  
Author(s):  
Valerio Vivaldi ◽  
Massimiliano Bordoni ◽  
Luca Brocca ◽  
Luca Ciabatta ◽  
Claudia Meisina
Keyword(s):  
Methodological Approach ◽  
Shallow Landslides ◽  
Predisposing Factors ◽  
Data Driven ◽  
Probability Of Occurrence ◽  
Mechanical Responses ◽  
Triggering Factors ◽  
Physically Based ◽  
Adaptive Regression ◽  
Spatio Temporal

<p>Rainfall-induced shallow landslides affect buildings, roads, facilities, cultivations, causing several damages and, sometimes, loss of human lives. It is necessary assessing the most prone zones in a territory where these phenomena could occur and the triggering conditions of these events, which generally correspond to intense and concentrated rainfalls. The most adopted methodologies for the determination of the spatial and temporal probability of occurrence are physically-based models, that quantify the hydrological and the mechanical responses of the slopes according to particular rainfall scenarios. Whereas, they are limited to be applied in a reliable way in little catchments, where geotechnical and hydrological characteristics of the materials are homogeneous. Data-driven models could constraints these, when the predisposing factors of shallow instabilities, allowing to estimate only the susceptibility of a territory, are combined with triggering factors of shallow landslides to allow these methods to estimate also the probability of occurrence and, then, the hazard. This work presents the implementation of a data-driven model able to assses the spatio-temporal probability of occurrence of shallow landslides in large areas by means of a data-driven techniques. The models are based on Multivariate Adaptive Regression Technique (MARS), that links geomorphological, hydrological, geological and land use predisposing factors to triggering factors of shallow failures. These triggering factors correspond to soil saturation degree and rainfall amounts, which are available thanks to satellite measures (ASCAT and GPM). The methodological approach is testing in different catchments of Oltrepò Pavese hilly area (northern Italy), that is representative of Italian Apeninnes environment. This work was made in the frame of the project ANDROMEDA, funded by Fondazione Cariplo.</p>

scholarly journals Spatio-Temporal Analysis and Water Quality Indices (WQI): Case of the Ébrié Lagoon, Abidjan, Côte d’Ivoire

2018 ◽  
Author(s):  
Naga Coulibaly ◽  
Talnan Jean Honoré Coulibaly ◽  
Henoc Sosthène Aclohou ◽  
Ziyanda Mpakama ◽  
Issiaka Savané
Keyword(s):  
Water Quality ◽  
Methodological Approach ◽  
Temporal Analysis ◽  
Analysis Data ◽  
Household Waste ◽  
Microbiological Analysis ◽  
Quality Indices ◽  
Runoff Water ◽  
Water Quality Indices ◽  
Spatio Temporal

For decades, the Ébrié Lagoon in Côte d'Ivoire has been the receptacle of wastewater effluent and household waste transported by runoff water. This work assesses the spatio-temporal variability of the Ébrié lagoon water quality at the city of Abidjan. The methodological approach used in this study is summarized in three stages: the choice and standardization of the parameters for assessing water quality for uses such as aquaculture, irrigation, watering, and sports and recreation; the weighting of these parameters using the Hierarchical Analysis Process (AHP) of Saaty; and finally, the aggregation of the weighted parameters or factors. Physicochemical and microbiological analysis data on the waters of the Ébrié lagoon for June and December of 2014 and 2015 were provided by the Ivorian Center for Anti-Pollution (Centre Ivoirien Anti-Pollution, CIAPOL) and the concentrations of trace elements in sediments (As, Cd, Cr, Pb, Zn) were used. The aggregation of standardized and weighted parameters allowed the determination of the Water Quality Indices (WQI) by usage for each bays of the lagoon. The results show that in both 2014 and 2015, the waters of the Ébrié lagoon were generally of poor quality for the different uses examined in this study (aquaculture, irrigation, watering and sport and recreation) with an accentuation in 2015. However, some bays of the lagoon have waters of dubious to satisfactory quality. This study contributes an improved evaluation of the Ébrié lagoon waters.

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