BACKGROUND The industrial use of novel-manufactured nanomaterials such as carbon nanotubes and carbon nanodiscs is increasing globally. Occupational exposure can occur during production, downstream use, and disposal. The health effects of many nanomaterials are not yet fully characterized and to handle nano-objects, their aggregates and agglomerates >100nm (NOAA), a high degree of control measu...

Las lagunas en la Amazonia están siendo impactadas por las actividades agrícolas y información sobre sus sedimentos es escasa; lo que el objetivo del estudio fue determinar características físico-químicas de los humedal Laguna Bella, contribuirá al conocimiento su calidad ambiental. Así, mediante técnicas estandarizadas se analizaron colectados seis puntos muestreo. Los resultados muestran valo...

A simplified method for estimating the total amount of atmospheric water vapor, , over sea surfaces using NOAA-AVHRR Channels 4 and 5 is presented. This study has been carried out using simulated AVHRR data at 11 and 12 m (with MODTRAN 3.5 code and the TIGR database) and AVHRR, PODAAC, and AVISO databases provided by the Louis Pasteur University (Strasbourg-France), NASA-NOAA, and Météo France,...

Multispectral imaging is becoming an increasingly important tool for monitoring the earth and its environment from space borne and airborne platforms. Multispectral imaging data consists of visible and IR measurements from a scene across space and spectrum. Growing data rates resulting from faster scanning and finer spatial and spectral resolution makes compression an increasingly critical tool...

The Big Bear Solar Observatory (BBSO) has a long tradition of are observations. In this letter, we would like to direct the reader's attention to observations of a small-spot which produced a moderate are activity characterized by 18 C-class and 2 M-class ares. Active region NOAA 8076 (BBSO 3877) was one of the rst active regions in the new Solar Cycle No. 23. We present high spatial resolution...

We present a statistical approach to study time-varying, multivariate climate data sets. Aided by domain expertise from the NOAA scientists, we have developed a solution for correlation analysis of multivariate spatial-temporal climate data sets.