Dynamical Approach for Real-Time Monitoring of Agricultural Crops

In this paper, a novel approach for exploiting multitemporal remote sensing data focused on real-time monitoring of agricultural crops is presented. The methodology is defined in a dynamical system context using state-space techniques, which enables the possibility of merging past temporal information with an update for each new acquisition. The dynamic system context allows us to exploit classical tools in this domain to perform the estimation of relevant variables. A general methodology is proposed, and a particular instance is defined in this study based on polarimetric radar data to track the phenological stages of a set of crops. A model generation from empirical data through principal component analysis is presented, and an extended Kalman filter is adapted to perform phenological stage estimation. Results employing quad-pol Radarsat-2 data over three different cereals are analyzed. The potential of this methodology to retrieve vegetation variables in real time is shown.

El uso de apósitos hidrocelulares de la gama Allevyn® en heridas agudas: resultados a partir del estudio AURIGA-04 en Atención Primaria

Aunque los apósitos de cura en ambiente (CAH) húmedo se han utilizado predominantemente en heridas crónicas, ello no es óbice para que su uso en heridas agudas permita solucionar algunos problemas, como el conseguir un ambiente óptimo que facilite la migración epitelial, así como una adecuada protección de las heridas y una correcta gestión del exudado. Es por ello que, dentro del marco del estudio AURIGA-04, nos planteamos la realización de un estudio prospectivo observacional, abierto y multicéntrico, de medidas repetidas en una cohorte de pacientes que presentan heridas agudas de diversa etiología en el que se incluyeron pacientes con heridas traumáticas, quirúrgicas o quemaduras tratados por profesionales de Atención Primaria, con el objetivo de generar evidencias acerca de la utilización de apósitos de CAH, en concreto, de la gama de apósitos hidrocelulares Allevyn®, en el tratamiento de heridas agudas. Se consideraron como criterios de exclusión heridas con signos clínicos de infección. Solo se incluyó una lesión por paciente. En el caso de los pacientes con heridas agudas, la muestra a estudio quedó compuesta por 61 pacientes con una edad media de 71,1 años; 36 casos corresponden a mujeres (60%). El estado general de salud de la muestra era bueno en un 49,1% de los casos y prácticamente la totalidad de los pacientes presentaba pluripatología. Un 10% de los pacientes consumía fármacos que podían interferir en la cicatrización y un 6% presentaba malnutrición. El 67,2% de las lesiones eran heridas traumáticas, el 24,6% quirúrgicas y un 8,2% quemaduras. Un 37% de las lesiones fueron clasificadas como superficiales y el 63% restante como profundas. Presentaban 64 días de evolución previa a su inclusión en el estudio y una superficie media de 23,34 cm2. Los pacientes permanecieron en el estudio un promedio de 43,6 días, con una cadencia de cambios de apósito cada 2,7 días. Durante el estudio cicatrizaron el 63,9% de las heridas, en un promedio de 40,9 días. La superficie inicial de las lesiones mostró una reducción significativa a lo largo del seguimiento (inicial: 23,34 cm2, final: 4,27 cm2, p ≤ 0,001). En los modelos de regresión de Cox, sólo resultó estadísticamente significativa la edad del paciente, en el grupo de lesiones traumáticas (RR: –0,03, p= 0,039). Durante el período de seguimiento, un 80,3% de los pacientes fue tratado en combinación con Intrasite Conformable®, Iruxol Mono® o la combinación de ambos productos. Los profesionales que realizaron las curas con Allevyn® valoraron muy favorablemente su manejo durante todo el estudio; así, en más del 96% de los cambios se consideró fácil de colocar, en el 100% indoloro y también en el 100% de fácil retirada. A la vista de los resultados, los apósitos de CAH y, en concreto, la gama de apósitos Allevyn®, tienen una clara aplicación en el caso de las heridas agudas, permitiendo un óptimo abordaje local de las lesiones, proporcionando unos niveles óptimos de humedad, pH y temperatura para las células implicadas en el proceso de cicatrización. Así, se promueve la formación de tejido de granulación y facilita la epitelización, además de proteger la herida ante traumatismos y gérmenes.

Crop Phenology Estimation Using a Multitemporal Model and a Kalman Filtering Strategy

In this letter, a new approach for crop phenology estimation with remote sensing is presented. The proposed methodology is aimed to exploit tools from a dynamical system context. From a temporal sequence of images, a geometrical model is derived, which allows us to translate this temporal domain into the estimation problem. The evolution model in state space is obtained through dimensional reduction by a principal component analysis, defining the state variables, of the observations. Then, estimation is achieved by combining the generated model with actual samples in an optimal way using a Kalman filter. As a proof of concept, an example with results obtained with this approach over rice fields by exploiting stacks of TerraSAR-X dual polarization images is shown.

μ-MAR: Multiplane 3D Marker based Registration for depth-sensing cameras

Many applications including object reconstruction, robot guidance, and. scene mapping require the registration of multiple views from a scene to generate a complete geometric and appearance model of it. In real situations, transformations between views are unknown and it is necessary to apply expert inference to estimate them. In the last few years, the emergence of low-cost depth-sensing cameras has strengthened the research on this topic, motivating a plethora of new applications. Although they have enough resolution and accuracy for many applications, some situations may not be solved with general state-of-the-art registration methods due to the signal-to-noise ratio (SNR) and the resolution of the data provided. The problem of working with low SNR data, in general terms, may appear in any 3D system, then it is necessary to propose novel solutions in this aspect. In this paper, we propose a method, μ-MAR, able to both coarse and fine register sets of 3D points provided by low-cost depth-sensing cameras, despite it is not restricted to these sensors, into a common coordinate system. The method is able to overcome the noisy data problem by means of using a model-based solution of multiplane registration. Specifically, it iteratively registers 3D markers composed by multiple planes extracted from points of multiple views of the scene. As the markers and the object of interest are static in the scenario, the transformations obtained for the markers are applied to the object in order to reconstruct it. Experiments have been performed using synthetic and real data. The synthetic data allows a qualitative and quantitative evaluation by means of visual inspection and Hausdorff distance respectively. The real data experiments show the performance of the proposal using data acquired by a Primesense Carmine RGB-D sensor. The method has been compared to several state-of-the-art methods. The results show the good performance of the μ-MAR to register objects with high accuracy in presence of noisy data outperforming the existing methods.

Contribution to Real-Time Estimation of Crop Phenological States in a Dynamical Framework Based on NDVI Time Series: Data Fusion With SAR and Temperature

In this study, a methodology based in a dynamical framework is proposed to incorporate additional sources of information to normalized difference vegetation index (NDVI) time series of agricultural observations for a phenological state estimation application. The proposed implementation is based on the particle filter (PF) scheme that is able to integrate multiple sources of data. Moreover, the dynamics-led design is able to conduct real-time (online) estimations, i.e., without requiring to wait until the end of the campaign. The evaluation of the algorithm is performed by estimating the phenological states over a set of rice fields in Seville (SW, Spain). A Landsat-5/7 NDVI series of images is complemented with two distinct sources of information: SAR images from the TerraSAR-X satellite and air temperature information from a ground-based station. An improvement in the overall estimation accuracy is obtained, especially when the time series of NDVI data is incomplete. Evaluations on the sensitivity to different development intervals and on the mitigation of discontinuities of the time series are also addressed in this work, demonstrating the benefits of this data fusion approach based on the dynamic systems.

Ideological Complex Systems: Mathematical Theory

The goal of this article is to build an abstract mathematical theory rather than a computational one of the process of transmission of ideology. The basis of much of the argument is Patten's Environment Theory that characterizes a system with its double environment (input or stimulus and output or response) and the existing interactions among them. Ideological processes are semiotic processes, and if in Patten's theory, the two environments are physical, in this theory ideological processes are physical and semiotic, as are stimulus and response.