Thermal-Infrared Spectral and Angular Characterization of Crude Oil and Seawater Emissivities for Oil Slick Identification

Previous work has shown that the emissivity of crude oil is lower than that of the seawater in the thermal-infrared (TIR) spectrum. Thus, oil slicks cause an emissivity decrease relative to the seawater in that region. The aim of this paper was to carry out experimental measurements to characterize the spectral and angular variations of crude oil and seawater emissivities. The results showed that the crude oil emissivity is lower than the seawater emissivity and that it is essentially flat in the atmospheric window of 8-13 μm. The crude oil emissivity has a marked emissivity decrease with the angle (from 0.956 ± 0.005 at 15 ° to 0.873 ± 0.007 at 65 °), which is even higher than that of the …

Validation and comparison of two models based on the Mie theory to predict 8-14 µm emissivity spectra of mineral surfaces

SMOS Level-2 Soil Moisture Product Evaluation in Rain-Fed Croplands of the Pampean Region of Argentina

A field campaign was carried out to evaluate the Soil Moisture (SM) MIR-SMUDP2 product (v5.51) generated from the data of the Microwave Imaging Radiometer using Aperture Synthesis (MIRAS) aboard the Soil Moisture and Ocean Salinity (SMOS) mission. The study area was the Pampean Region of Argentina, which was selected because it is a vast area of flatlands containing quite homogeneous rain-fed croplands, which are considered SMOS nominal land uses and hardly affected by radio-frequency interference contamination. Transects of ground handheld SM measurements were performed using ThetaProbe ML2x probes within four Icosahedral Snyder Equal Area Earth (ISEA) grid nodes, where permanent SM statio…

Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain

Abstract Lake eutrophication is a critical issue in the interplay of water supply, environmental management, and ecosystem conservation. Integrated sensing, monitoring, and modeling for a holistic lake water quality assessment with respect to multiple constituents is in acute need. The aim of this paper is to develop an integrated algorithm for data fusion and mining of satellite remote sensing images to generate daily estimates of some water quality parameters of interest, such as chlorophyll a concentrations and water transparency, to be applied for the assessment of the hypertrophic Albufera de Valencia. The Albufera de Valencia is the largest freshwater lake in Spain, which can often pr…

Empirical relationships for monitoring water quality of lakes and reservoirs through multispectral images

Remote sensing techniques can be used to estimate water quality variables such as chlorophyll ${\mbi a}$ , total suspended particles, and water transparency. This paper describes empirical algorithms for the estimation of these variables using Landsat Thematic Mapper (TM) data. Ground data were taken from several Spanish lakes covering a variety of trophic statuses, ranging from oligotrophic to hypereutrophic. The studied lakes were the Albufera de Valencia and lakes and ponds of the Southeast Regional Park in Madrid. Empirical equations were obtained to estimate chlorophyll ${\mbi a}$ from the ratio in reflectance values between bands 2 and 4 of TM ( $\bf{ R^2 \, {\mmb =}\, 0.66}$ , ${\bf …

ESTIMACIÓN DE LA EVAPORACIÓN/TRANSPIRACIÓN EN UN CULTIVO DE TRIGO MEDIANTE RADIOMETRÍA TÉRMICA

[EN] This work shows the application of a two-source energy balance model, together with surface temperature measurements, to derive hourly and daily values of land surface energy fluxes of wheat, crop evapotranspiration (ETc) included. An experiment was carried out during the spring of 2014 in a wheat field located in the experimental farm of “Las Tiesas” in Barrax, Albacete. Soil and canopy radiometric temperatures were measured, as well as meteorological variables and biophysical parameters, from plantation to senescence. Results were compared to measurements in a weighing lysimeter installed within the wheat field. Estimation errors of ±0.10 mm h-1 and ±0.9 mm d-1 were obtained at hourl…