We report the results of a modeling study on the sensitivity of normalized difference vegetation index (NDVI) and surface reflectance to differences in instrument spectral response functions (SRF) for various Advanced Very High Resolution Radiometers (AVHRR) onboard the National Oceanic and Atmospheric Administration’s (NOAA) satellites NOAA-6–16 as well as the Moderate Resolution Imaging Spect...

In this study, we used a set of hyperspectral Hyperion scenes and assessed the effects of differing spectral and spatial resolutions on MODIS-AVHRR vegetation index (VI) continuity. Hyperion scenes were processed to simulate atmospherically-corrected normalized difference vegetation index (NDVI) and 2-band enhanced vegetation index (EVI2) values at MODIS Climate Modeling Grid (CMG) and AVHRR Gl...

[1] A series of 10 advanced very high resolution radiometers (AVHRRs) flown on National Oceanic and Atmospheric Administration (NOAA)’s polar-orbiting satellites for over 20 years has provided data suitable for many quantitative remote sensing applications. To be useful for geophysical research, each radiometer must be accurately calibrated, which poses problems in the AVHRR reflectance channel...

This article presents a new and novel approach to accomplish AVHRR data navigation with errors of less than 0.9 km in the middle latitude regions. The AVHRR channel 4 counts and GTOPO30 elevation data and image correlation method are used. This approach is suitable for both day and night passes. It can also be used for other satellites with thermal sensing radiometers. A two steps approach is i...

[1] Satellite measurements from the infrared (IR) channels of the Advanced Very High Resolution Radiometer (AVHRR)/NOAA have been used to derive many important atmospheric, cloud, and surface parameters for weather prediction, climate modelling, and a variety of environmental studies. Calibration accuracy of the satellite data directly affects accuracies of the derived parameters. So far, very ...

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 ...

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...