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Nevena Dragicevic, Barbara Karleu?a and Nevenka O?anic
This paper analyses the possibilities of improving the precision of, and obtaining better, drainage density (Dd) input data for the Erosion Potential Method (EPM). This method is used for erosion assessments in karst areas that are characterised by torre...
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Lixiao Zhang, Zhifeng Yang, Jing Liang and Yanpeng Cai
With support of GIS tools and Theil index, the spatial variance of urban energy consumption in China was discussed in this paper through the parallel comparison and quantitative analysis of the 30 provincial capital cities of mainland China in 2005, in t...
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Zhenyang Peng, Fuqiang Tian, Hongchang Hu, Sihan Zhao, Qiang Tie, Hao Sheng, Christophe Darnault and Hui Lu
Understanding the spatio-temporal dynamic of soil moisture is critical in hydrological and other land surface related studies. Until recently, however, there have been controversies about the relationship between spatial mean and spatial variance of soil...
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Pedro Ramualyson Fernandes Sampaio, Neyton de Oliveira Miranda, José Francismar de Medeiros, Jefferson Vieira José, José Flaviano Barbosa de Lira, Joana D?arc Jales de Mendonça
Pág. 313 - 322
This work had as objectives to use the Sunn Hemp (Crotalaria juncea L.) to evaluate the residual effect in the soil of levels of water salinity and nitrogen doses, and the occurrence of spatial dependence within the experimental area. In previous years, ...
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Yangnan Guo, Cangjiao Wang, Shaogang Lei, Junzhe Yang and Yibo Zhao
Spatio-temporal fusion algorithms dramatically enhance the application of the Landsat time series. However, each spatio-temporal fusion algorithm has its pros and cons of heterogeneous land cover performance, the minimal number of input image pairs, and ...
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Kevin MacKillop, Gordon Fenton, David Mosher, Valerie Latour and Perry Mitchelmore
A simplified geostatistical approach was adopted to assess the effect of spatial variability of soil properties on slope stability analysis in order to understand continental margin geologic processes and potential geohazards for an area of the central S...
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Fernanda Batista Silva, Karla Maria Longo and Felipe Marques de Andrade
The spatial and temporal variability patterns of the urban heat island (UHI) in the metropolitan area of Sao Paulo (MASP) were investigated using hourly temperature observations for a 10-year period from January 2002 to December 2011. The empirical ortho...
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Nicola Pontarollo
Pág. 1 - 27
The aim of our analysis is the evaluation of the total and sectoral convergence of labour productivity between 896 NUTS-3 regions of EU-12 over the period 1980-2010. We adopt a ß- and s-convergence approach along with a methodology based on Getis? spatia...
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Ivan Kovac, Marko ?rajbek, Nikolina Kli?anin and Gordon Gilja
The localization of pollution sources is one of the main tasks in environmental engineering. For this paper, models of spatial distribution of nitrate concentration in groundwater were created, and the point of highest concentration was determined. This ...
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Manuel Antonio Ureña-Cámara and Antonio Tomás Mozas-Calvache
This study describes a new algorithm developed to detect local cells of minimum or maximum heights in grid Digital Elevation Models (DEMs). DEMs have a low variance in digital levels due to the spatial continuity of the data. Traditional algorithms, such...
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Hao Zou, Jing-Sen Cai, E-Chuan Yan, Rui-Xuan Tang, Lin Jia and Kun Song
Due to the spatial variability of hydraulic properties, probabilistic slope seepage analysis becomes necessary. This study conducts a probabilistic analysis of slope seepage under rainfall, considering the spatial variability of saturated hydraulic condu...
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Adrian Linsel, Sebastian Wiesler, Joshua Haas, Kristian Bär and Matthias Hinderer
Heterogeneity-preserving property models of subsurface regions are commonly constructed by means of sequential simulations. Sequential Gaussian simulation (SGS) and direct sequential simulation (DSS) draw values from a local probability density function ...
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Scott Curtis, Thomas Crawford, Munshi Rahman, Bimal Paul, M. Giashuddin Miah, M. Rafiqul Islam and Mohin Patel
Understanding seasonal precipitation input into river basins is important for linking large-scale climate drivers with societal water resources and the occurrence of hydrologic hazards such as floods and riverbank erosion. Using satellite data at 0.25-de...
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S. K. ROY BHOWMIK,S. SEN ROY
n this paper, Principal Component Analysis has been applied to investigate the spatial variability of errors in the INSAT derived quantitative precipitation estimates (QPE) over the Indian monsoon region, using daily rainfall ...
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Andrea Emma Pravitasari, Ernan Rustiadi, Rista Ardy Priatama, Alfin Murtadho, Adib Ahmad Kurnia, Setyardi Pratika Mulya, Izuru Saizen, Candraningratri Ekaputri Widodo and Siti Wulandari
Although uneven regional development has long been an issue in Java, most parts of the territory experienced an increased level of development over the last two decades. Due to the variance in local background and spatial heterogeneity, the driving facto...
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Christoph Erlacher, Karl-Heinrich Anders, Piotr Jankowski, Gernot Paulus and Thomas Blaschke
Global sensitivity analysis, like variance-based methods for massive raster datasets, is especially computationally costly and memory-intensive, limiting its applicability for commodity cluster computing. The computational effort depends mainly on the nu...
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Mutum Bidyarani Devi, Rajagopalan Devanathan
Pág. 166 - 181
Earth?s observation satellites, such as IKONOS, provide simultaneously multispectral and panchromatic images. A multispectral image comes with a lower spatial and higher spectral resolution in contrast to a panchromatic image which usually has a high spa...
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Hang Shi, Fenglin Xie, Quan Zhou, Xiao Shu, Kerong Zhang, Chaoqi Dang, Shuiyuan Feng, Quanfa Zhang and Haishan Dang
Topography strongly influences the compositional structure of tree communities and plays a fundamental role in classifying habitats. Here, data of topography and 16 dominant tree species abundance were collected in a fully mapped 25-ha forest plot in the...
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Qiutong Jin, Jutao Zhang, Mingchang Shi, Jixia Huang
Pág. 1 - 20
Estimating the spatial distribution of precipitation is an important and challenging task in hydrology, climatology, ecology, and environmental science. In order to generate a highly accurate distribution map of average annual precipitation for the Loess...
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Qiutong Jin, Jutao Zhang, Mingchang Shi and Jixia Huang
Estimating the spatial distribution of precipitation is an important and challenging task in hydrology, climatology, ecology, and environmental science. In order to generate a highly accurate distribution map of average annual precipitation for the Loess...
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