Moderate Resolution Imaging Spectroradiometer (MODIS) is the keystone instrument for NASA’s EOS Terra and Aqua missions, designed to extend and improve heritage sensor measurements and data records of the land, oceans and atmosphere. The reflective solar bands (RSB) of MODIS covering wavelengths from 0.41 μm to 2.2 μm, are calibrated on-orbit using a solar diffuser (SD), with its on-orbit bi-di...

This paper presents the results of snow cover monitoring studies in Liaoning Province, northeastern China, using MODIS data. Snow cover plays an important role in both the regional water balance and soil moisture properties during the early spring in northeastern China. In addition, heavy snowfalls commonly trigger hazards such as flooding, caused by rapid snow melt, or crop failure, resulting ...

A new algorithm for removing Bowtie Effect of Moderate resolution Imaging Spectrometer (MODIS) data without utilizing the ephemeris data is proposed in this paper. Based on a thoroughly study of the observation characteristics of MODIS, and a comprehensive comparison and evaluation among the existing algorithms for removing Bowtie Effect, the new algorithm is derived with correlation coefficien...

Online services provide several Ocean Color datasets for the exploitation of Remote Sensing (RS) applied to marine and coastal areas. Despite the large number of services and data available, end users often require full resolution gridded products at regional scale. In order to provide a higher resolution datasets better suitable for coastal areas analysis and management, an efficient processin...

Using split window algorithms developed by Sobrino, added a suff icient and simple cloud detection process for MODIS L1B data. Then based on land surface classif ication (land, water, snow & ice), retrieved four land surface temperature images for clear sky in Naqu area over Tibetan Plateau in January, April, June and October in 2007, respectively. After that the derived LST was compared with t...

The German Aerospace Center’s (DLR) TIMELINE project aims to develop an operational processing and data management environment to process 30 years of National Oceanic and Atmospheric Administration (NOAA)—Advanced Very High Resolution Radiometer (AVHRR) raw data into L1b, L2 and L3 products. This article presents the current status of the fully automated L2 active fire hotspot detection process...