The MERIS aerosol remote sensing over ocean is available and over land has been improved for a better spatial coverage. Air quality monitoring of the particles is based on in situ measurements of PM10 and PM2.5 which are respectively the density of particles of diameter lesser than 10 μm, lesser than 2.5 μm, at the surface. In order to promote the use of Earth Observation, we would like to conv...

A retrieval of total column water vapour (TCWV) from MODIS (Moderate-resolution Imaging Spectroradiometer) measurements is presented. The algorithm is adapted from a retrieval for MERIS (Medium Resolution Imaging Spectrometer) from Lindstrot et al. (2012). It obtains the TCWV for cloud-free scenes above land at a spatial resolution of 1 km× 1 km and provides uncertainties on a pixel-by-pixel ba...

Atmospheric water vapour effects represent a major limitation of repeat-pass Interferometric SAR (InSAR) techniques including InSAR time series approaches (e.g. permanent scatterers (PS) and small baseline subset (SBAS)). In this paper, it is demonstrated that atmospheric water vapour effects greater than 4 cm can be observed even in desert regions (e.g. Southern California) and the use of MERI...

Aerosol remote sensing is very much dependent on the accurate knowledge of the top-of-atmosphere (TOA) reflectance measured by a particular instrument. The status of the calibration of such an instrument is reflected in the quality of the aerosol retrieval. Current data of the SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) instrument (operated with the data pr...

We present here results supporting the use of Medium Resolution Imaging Spectrometer (MERIS)-based Near Infrared-Red algorithms for estimating chlorophyll-a (chl-a) concentration in complex coastal waters. The objective of the study was to test the potential of universal applicability of NIR-Red algorithms, calibrated with (a) radiometric measurements and in situ data from inland waters in Nebr...

As confirmed by many scientists, atmosphere has intensive contaminative role on Interferometric Synthetic Aperture Radar (InSAR) measurements. Atmospheric parameters, always influence radar’s phase but the intensity of the atmospheric errors on interferograms depend on the difference of the parameters’ values. In this paper, some calibration methods will be considered in order to reduce the err...