Object-based image analysis supported by data mining to discriminate large areas of soybean     

Carlos Antonio da Silva Junior  Marcos Rafael Nanni  José Francisco de Oliveira-Júnior  Everson Cezar  Paulo Eduardo Teodoro  Rafael Coll Delgado 《International Journal of Digital Earth》2019,12(3):270-292

This research aimed to analyze the possibility to estimate and automatically map large areas of soybean cultivation through the use of MODIS (Moderate-Resolution Imaging Spectroradiometer) images. Two major techniques were used: GEOgraphic-Object-Based Image Analysis (GEOBIA) and Data Mining (DM). In order to obtain the images, the segmentation algorithm implemented by Definiens Developer was used. A decision tree (DT) was created from a training set previously prepared. Time-series of images from the MODIS sensor aboard the Terra satellite were acquired in order to represent the wide variation of the vegetation pattern along the soybean crop cycle. The time-series data were used only for the CEI index. Furthermore, to compare the results obtained from GEOBIA, the slicing technique was used at the CEI level. After the training, the DT was applied to the vegetation indices generating the thematic map of the spatial distribution of soybean. In accordance with the error matrix and kappa parameter analysis, tests for statistical significance were created. Results indicate that the classification achieved by Kappa coefficients is 0.76. In short, the obtained results proved that combining vegetation indices and time-series data using GEOBIA return promising results for mapping soybean plantation on a regional scale.  相似文献   

Determination of internal wave properties from X-Band radar observations   总被引：2，自引：0，他引：2  

Rafael J. Ramos  Björn Lund  Hans C. Graber 《Ocean Engineering》2009,36(14):1039-1047

The application of nautical X-Band radars to measure internal wave (IW) properties is investigated. A methodology based on the use of Radon transform (RT) techniques to detect internal wave related features from backscatter image sequences is introduced to compute properties such as direction of propagation, non-linear velocity (c₀), distance between solitons (L_cc) and number of solitons per packet. The proposed methodology was applied to several events recorded by a ship-mounted X-Band radar system (WaMoS) during the NLIWI experiment in 2006. Results from the comparisons to simultaneous measurements taken at neighboring oceanographic moorings indicated that c₀ can be estimated with a RMS error of 0.06 m s⁻¹, which corresponds to a mean relative error of −1.4%. Similarly, L_cc can be estimated with a RMS error of 98 m, which is associated with a mean relative error of 14.6%. This latter error estimate however is likely to be overestimated, because it reflects strongly the separation between sampling stations as L_cc was shown to be highly dependent on propagation distance. The accuracy of the results shows that X-Band systems are well suited to measure internal wave properties offering some advantages over SAR and other in situ devices.  相似文献   

Predicting high-frequency variation in stream solute concentrations with water quality sensors and machine learning     

Mark B. Green  Linda H. Pardo  Scott W. Bailey  John L. Campbell  William H. McDowell  Emily S. Bernhardt  Emma J. Rosi 《水文研究》2021,35(1):e14000

Stream solute monitoring has produced many insights into ecosystem and Earth system functions. Although new sensors have provided novel information about the fine-scale temporal variation of some stream water solutes, we lack adequate sensor technology to gain the same insights for many other solutes. We used two machine learning algorithms – Support Vector Machine and Random Forest – to predict concentrations at 15-min resolution for 10 solutes, of which eight lack specific sensors. The algorithms were trained with data from intensive stream sensing and manual stream sampling (weekly) for four full years in a hydrologic reference stream within the Hubbard Brook Experimental Forest in New Hampshire, USA. The Random Forest algorithm was slightly better at predicting solute concentrations than the Support Vector Machine algorithm (Nash-Sutcliffe efficiencies ranged from 0.35 to 0.78 for Random Forest compared to 0.29 to 0.79 for Support Vector Machine). Solute predictions were most sensitive to the removal of fluorescent dissolved organic matter, pH and specific conductance as independent variables for both algorithms, and least sensitive to dissolved oxygen and turbidity. The predicted concentrations of calcium and monomeric aluminium were used to estimate catchment solute yield, which changed most dramatically for aluminium because it concentrates with stream discharge. These results show great promise for using a combined approach of stream sensing and intensive stream discrete sampling to build information about the high-frequency variation of solutes for which an appropriate sensor or proxy is not available.  相似文献   

New post-processing method for interpretation of through casing resistivity (TCR) measurements   总被引：1，自引：0，他引：1  

Qing Chen  David Pardo  Hong-bin Li  Fu-rong Wang 《Journal of Applied Geophysics》2011,74(1):19-25

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Experimental kinetic study of organic matter maturation: Time and pressure effects on vitrinite reflectance at 400 °C     

Ronan Le Bayon  Gerhard P. BreyW.G. Ernst  Rafael Ferreiro Mählmann 《Organic Geochemistry》2011,42(4):340-355

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Contribution to characterisation of biochar to estimate the labile fraction of carbon   总被引：6，自引：0，他引：6  

R. Calvelo Pereira  J. KaalM. Camps Arbestain  R. Pardo LorenzoW. Aitkenhead  M. HedleyF. Macías  J. HindmarshJ.A. Maciá-Agulló 《Organic Geochemistry》2011,42(11):1331-1342

Different analytical techniques were used to find the most reliable and economic method for determining the labile fraction of C in biochar. Biochar was produced from pine, poplar and willow (PI, PO and WI, respectively) at two temperatures (400 and 550 °C) and characterised using spectroscopic techniques [solid state ¹³C nuclear magnetic resonance spectroscopy (NMR)], molecular markers [pyrolysis-gas chromatography-mass spectrometry (Py-GC-MS)], thermogravimetry (TG), elemental composition and wet oxidation (potassium permanganate and potassium dichromate). Short term incubation (110 h) of an A horizon from an Umbrisol amended with the biochar samples at two doses (7.5 and 15 t ha⁻¹) was also carried out to provide supplementary information on the influence of biochar-soil interaction on CO₂ evolution. Spectroscopic analysis demonstrated that the degree of biochar carbonisation was influenced by the type of feedstock and heating conditions and followed the order WI-400 < PI-400 ∼ WI-550 ∼ PO-400 < PO-550 < PI-550. The thermo-labile fraction of the biochar samples, estimated from TG, ranged between 21% and 49%. The fraction of total C oxidised with potassium permanganate (C_per/C_total) was <50 g kg⁻¹ in all cases, whereas potassium dichromate (C_dichro/C_total) oxidation efficiency ranged between 180 and 545 g kg⁻¹. For each type of feedstock, the highest values of either chemically or thermally degradable C corresponded to the biochar produced at low temperature. Results indicate that low cost methodologies, such as dichromate oxidation and TG, reflected the degree of biochar carbonisation, and could therefore be used to estimate the labile fraction of C in biochar.  相似文献   

Field Survey of the 27 February 2010 Chile Tsunami   总被引：1，自引：0，他引：1  

Hermann M. Fritz  Catherine M. Petroff  Patricio A. Catal��n  Rodrigo Cienfuegos  Patricio Winckler  Nikos Kalligeris  Robert Weiss  Sergio E. Barrientos  Gianina Meneses  Carolina Valderas-Bermejo  Carl Ebeling  Athanassios Papadopoulos  Manuel Contreras  Rafael Almar  Juan Carlos Dominguez  Costas E. Synolakis 《Pure and Applied Geophysics》2011,168(11):1989-2010

On 27 February 2010, a magnitude M _w?=?8.8 earthquake occurred off the coast of Chile??s Maule region causing substantial damage and loss of life. Ancestral tsunami knowledge from the 1960 event combined with education and evacuation exercises prompted most coastal residents to spontaneously evacuate after the earthquake. Many of the tsunami victims were tourists in coastal campgrounds. The international tsunami survey team (ITST) was deployed within days of the event and surveyed 800?km of coastline from Quintero to Mehuín and the Pacific Islands of Santa María, Mocha, Juan Fernández Archipelago, and Rapa Nui (Easter). The collected survey data include more than 400 tsunami flow depth, runup and coastal uplift measurements. The tsunami peaked with a localized runup of 29?m on a coastal bluff at Constitución. The observed runup distributions exhibit significant variations on local and regional scales. Observations from the 2010 and 1960 Chile tsunamis are compared.  相似文献   

Simulation of marine controlled source electromagnetic measurements using a parallel fourier <Emphasis Type="Italic">hp</Emphasis>-finite element method     

David Pardo  Myung Jin Nam  Carlos Torres-Verdín  Michael G. Hoversten  Iñaki Garay 《Computational Geosciences》2011,15(1):53-67

We introduce a new numerical method to simulate geophysical marine controlled source electromagnetic (CSEM) measurements for the case of 2D structures and finite 3D sources of electromagnetic (EM) excitation. The method of solution is based on a spatial discretization that combines a 1D Fourier transform with a 2D self-adaptive, goal-oriented, hp-Finite element method. It enables fast and accurate simulations for a variety of important, challenging and practical cases of marine CSEM acquisition. Numerical results confirm the high accuracy of the method as well as some of the main physical properties of marine CSEM measurements such as high measurement sensitivity to oil-bearing layers in the subsurface. In our model, numerical results indicate that measurements could be affected by the finite oil-bearing layer by as much as 10⁴% (relative difference). While the emphasis of this paper is on EM simulations, the method can be used to simulate different physical phenomena such as seismic measurements.  相似文献   

An urban geomonumental route focusing on the petrological and decay features of traditional building stones used in Madrid, Spain     

Elena Mercedes Perez-Monserrat  Monica Alvarez de Buergo  Miguel Gomez-Heras  Maria Jose Varas Muriel  Rafael Fort Gonzalez 《Environmental Earth Sciences》2013,69(4):1071-1084

The stone traditionally used to build cities contributes to their personality and attests to the geological substrate on which they stand. While stone decay in the built heritage can be attributed to a number of causes, anthropic activity has a particularly significant impact. The geomonumental routes project is one of the initiatives proposed in recent years for urban routes that convey geological fundamentals by observing the rocks present in heritage structures. Its innovative approach addresses traditional stone properties, original quarrying sites and mechanisms of decay. Madrid’s Royal Palace is a fine example of the use of traditional building stone in the centre of the Iberian Peninsula. In the geomonumental route proposed, the building doubles as an in situ laboratory that affords an overview of the main petrological properties of the two traditional stones most commonly used in the city’s built heritage, the forms of decay they are subject and the factors underlying such alterations. This route constitutes a tool for showing the main petrological features and decay forms in traditional building stones found in urban heritage façades, with a special focus on anthropic impact, primarily air pollution and the use of conservation treatments that time has proven to be unsuitable.  相似文献   

Rainfall-induced landslide susceptibility zonation of Puerto Rico   总被引：9，自引：4，他引：5  

Chiara Lepore  Sameer A. Kamal  Peter Shanahan  Rafael L. Bras 《Environmental Earth Sciences》2012,66(6):1667-1681

Landslides are a major geologic hazard with estimated tens of deaths and $1–2 billion in economic losses per year in the US alone. The island of Puerto Rico experiences one or two large events per year, often triggered in steeply sloped areas by prolonged and heavy rainfall. Identifying areas susceptible to landslides thus has great potential value for Puerto Rico and would allow better management of its territory. Landslide susceptibility zonation (LSZ) procedures identify areas prone to failure based on the characteristics of past events. LSZs are here developed based on two widely applied methodologies: bivariate frequency ratio (FR method) and logistic regression (LR method). With these methodologies, the correlations among eight possible landslide-inducing factors over the island have been investigated in detail. Both methodologies indicate aspect, slope, elevation, geological discontinuities, and geology as highly significant landslide-inducing factors, together with land-cover for the FR method and distance from road for the LR method. The LR method is grounded in rigorous statistical testing and model building but did not improve results over the simpler FR method. Accordingly, the FR method has been selected to generate a landslide susceptibility map for Puerto Rico. The landslide susceptibility predictions were tested against previous landslide analyses and other landslide inventories. This independent evaluation demonstrated that the two methods are consistent with landslide susceptibility zonation from those earlier studies and showed this analysis to have resulted in a robust and verifiable landslide susceptibility zonation map for the whole island of Puerto Rico.  相似文献