Evaluation of the DART 3D model in the thermal domain using satellite/airborne imagery and ground-based measurements

This work provides an evaluation of the discrete anisotropy radiative transfer (DART) three-dimensional (3D) model in assessing the simulation of directional brightness temperatures (Tb) at both sensor and surface levels. Satellite imagery acquired with the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), airborne imagery acquired with the Airborne Hyperspectral Scanner (AHS) sensor and ground-based measurements collected over an agricultural area were used to evaluate the DART model at nadir views. Directional radiometric temperatures measured with a goniometric system at ground level were also used to evaluate modelling results at different view angles. The DART model was evaluated over three homogeneous plots: bare soil (BS), green grass (GG) and sand (NS). The results show good agreement between the simulations and the satellite, airborne and ground-based measurements, with root mean square errors (RMSEs) less than 2.0 K. However, three major discrepancies were found: (1) differences greater than 4.0 K over BS when comparing DART and ASTER, attributed to turbulence-induced temperature fluctuations, (2) higher differences in sensor-level than in surface-level comparisons when using AHS due to thermal heterogeneity of the selected regions of interest in the image and also to differences in atmospheric correction performed over the imagery and the correction included in the DART model, especially for bands located in the lowest atmospheric transmissivity regions and (3) RMSEs greater than 2.0 K when comparing DART results and ground measurements over the NS plot, due to the strong emissivity correction in the 8.0-9.0 μm bands, where the measured emissivity was below 0.75. Despite these discrepancies, we show that the DART model is a useful tool for simulating remotely sensed thermal images over different landscapes. Finally, new versions of this model are continuously being released to solve technical problems and improve the simulation results

The relationship between numbness, tingling and shooting/burning pain in patients with chemotherapy-induced peripheral neuropathy (CIPN) as measured by the EORTC QLQ-CIPN20 instrument, N06CA

Background: Chemotherapy-induced peripheral neuropathy (CIPN) is characterized by numbness, tingling, and shooting/burning pain. This analysis was performed to describe the relationship between numbness, tingling, and shooting/burning pain in patients with CIPN, as reported using the EORTC QLQ-CIPN20 (CIPN20). Methods: Baseline CIPN20 data were provided for all patients on a prospective trial designed to treat patients with bothersome CIPN. Baseline frequencies for the items on the CIPN20 are primarily described by descriptive statistics and histograms, with correlational analyses between individual items. Results: A majority of the 199 patients accrued to this study reported "quite a bit" to "very much" numbness (57%) or tingling (63%) in the hands compared to "a little" or "not at all" (numbness (43%), tingling (38%)). Fewer patients reported "quite a bit" to "very much" shooting/burning pain in the hands (18%). Numbness and tingling in the hands were highly correlated (r = 0.69), while neither were highly correlated with shooting/burning pain. Similar results were observed in the feet. More severe ratings for tingling and shooting/burning pain were ascribed to the lower extremities, as opposed to the upper extremities. Conclusions: In patients with CIPN, severe sensory neuropathy symptoms (numbness, tingling) commonly exist without severe neuropathic pain symptoms (shooting/burning pain), while the reverse is not common. Symptoms in the feet should be evaluated distinctly from those in the hands as the experience of symptoms is not identical, for individual patients, in upper versus lower extremities

Evaluation of the surface urban heat island effect in the city of Madrid by thermal remote sensing

The surface urban heat island (SUHI) effect is defined as the increased surface temperatures in urban areas in contrast to cooler surrounding rural areas. In this article, the evaluation of the SUHI effect in the city of Madrid (Spain) from thermal infrared (TIR) remote-sensing data is presented. The data were obtained from the framework of the Dual-use European Security IR Experiment (DESIREX) campaign that was carried out during June and July 2008 in Madrid. The campaign combined the collection of airborne hyperspectral and in situ measurements. Thirty spectral and spatial high-resolution images were acquired with the Airborne Hyperspectral Scanner (AHS) sensor in a 11, 21, and 4 h UTC scheme. The imagery was used to retrieve the SUHI effect by applying the temperature and emissivity separation (TES) algorithm. The results show a nocturnal SUHI effect with a highest value of 5 K. This maximum value agrees within 1 K with the highest value of the urban heat island (UHI) observed using air temperature data (AT). During the daytime, this situation is reversed and the city becomes a negative heat island

Fluorescence estimation in the framework of the CEFLES2 campaign

International audienceChlorophyll fluorescence (ChF) is a relevant indicator of the actual plant physiological status. In this article different methods to measure ChF from remote sensing are evaluated: The Fraunhofer Line Discrimination (FLD), theFluorescence Radiative Method (FRM) and the improved Fraunhofer Line Discrimination (iFLD). The three methods have been applied to data acquired in the framework of the CarboEurope, FLEX and Sentinel-2 (CEFLES2) campaign in Les Landes, France in September 2007. Comparing with in situ measurements, the results indicate that the methods that provide the best results are the FLD and the iFLD with root mean square errors (RMSEs) of 0.4 and 0.5 mW m-2 sr-1 nm-1, respectively, while the FRM provides an error of 0.8 mW m-2 sr-1 nm-1. © 2011 Taylor & Francis

Abordagem sistêmica do gerenciamento pelas diretrizes: conceituação e aplicação A systematic approach to policy deployment: concept and application

Este artigo apresenta um modelo teórico do Gerenciamento pelas Diretrizes (GD), organizando suas principais características sob uma ótica conceitual, explorando os seus aspectos orgânicos. Inicialmente, é estabelecido o seu processo característico para, em seguida, serem definidos quatro elementos que o complementam: (1) sistema de priorização; (2) dispositivos estruturais; (3) dispositivos conciliadores; e (4) sistema de informação. A partir desta referência e por meio da pesquisa-ação é articulada sua implementação numa empresa de serviços que atua como distribuidor de cerveja, atendendo uma grande região geográfica. Desta intervenção, surgem novas características que contribuem para o aprimoramento da proposta.<br>This article presents the theoretical model of policy deployment, exploring and organizing its organic features. At first, the featuring process is established, afterwards four complementary elements are defined: the priority system, the structural devices, the conciliatory devices and the information system. The test is done by research method, "research by intervention in one reality". The intervention was promoted in a beer retailer that operates covering a wide geographic area. New findings were gotten therefore leading condition to improve the model proposed