This paper deals with the problem of automatic interpretation of oceanographic images for vortices detection, modelization and tracking. We present a framework allowing the vortices detection. The processing is split into three parts: apparent motion computation from the image sequence, local interpretation of apparent motion and geometric modelization of the vortices. This scheme allows an eff...

8 9 The GIMMS Advanced Very High Resolution Radiometer (AVHRR) NDVI dataset has nearly 10 three decades of observations and is the most widely used vegetation index dataset. In this 11 short communication, we compare AVHRR normalized difference vegetation index (NDVI) 12 data from the GIMMS group with NDVI created from the Long Term Data Record (LTDR) 13 daily reflectance. The two datasets have...

A study was performed to investigate the potential impacts in the cloud masking capability of the AVHRR on NOAA polar orbiting satellites due to the addition of the of 1.6 μm channel (ch3a) and the removal of the 3.75 μm channel (ch3b) during daylight operation. Both channels are measured by the AVHRR but only one of them are available in the data-stream. Because the AVHRR presents the longest ...

This contribution to the EUCREX mission 206 series aims at evaluating the performances of Ž three methods considered for the retrieval of cloud microphysical properties optical depth, droplet Ž .. effective radius and liquid water path LWP from Advanced Very High Resolution Radiometer Ž . AVHRR satellite images. These procedures, namely a set of empirical parameterizations, a physically based i...

Evapotranspiration (ET) is one of the most critical components of terrestrial water balance. Estimating reliable ET across a large region is, however, difficult due to the limited number of ground monitoring stations and the heterogeneous land surface conditions. In this work, spatially distributed monthly ET estimates in the Krishna River Basin, India, were derived using Advanced Very High Res...

The Advanced Very High Resolution Radiometer (AVHRR) sensor provides a unique global remote sensing dataset that ranges from the 1980s to the present. Over the years, several efforts have been made on the calibration of the different instruments to establish a consistent land surface reflectance time-series and to augment the AVHRR data record with data from other sensors, such as the Moderate ...

The leaf area index (LAI) is a key biophysical parameter that determines the state of plant growth. A global LAI has been routinely produced by the Moderate Resolution Imaging Spectro-radiometer (MODIS) and Advanced Very High Resolution Radiometer (AVHRR). However, the MODIS and AVHRR LAI products cannot be synchronized with the same spatial and temporal resolution. The LAI features are not dis...

The free reception of Advanced Very High Resolution Radiometer (AVHRR) data keeps a growing interest for the remote sensing community concerned with vegetation studies on regional and global scales. However, the use of AVHRR data for long-term quantitative monitoring requires consistent surface reflectance data. This implies correcting the effects from varying sun sensor target geometries in mu...

This study tested the degree to which single date, near-nadir AVHRR image could provide forest cover estimates comparable to the phase I estimates obtained from the traditional photo-based techniques of the Forest Inventory and Analysis (FIA) program. FIA program is part of the United States Department of Agriculture-Forest Service (USFS). A six-county region in east Texas was selected for this...

Since the rapid increase in atmospheric methane was recognized in the early 1980’s, paddy fields have been considered to be one of the likely and most important sources of this problem. The objective of this study is to estimate the methane emission from paddy fields with remotely sensed data and the methane flux in situ. In this paper, firstly, we developed a scaling technique to extrapolate t...