Aqua and Terra MODIS RSB calibration comparison using BRDF modeled reflectance.

IEEE Trans Geosci Remote Sens

Science Systems and Applications, Inc, Lanham, MD 20706.

Published: April 2017

The inter-comparison of MODIS reflective solar bands onboard Aqua and Terra is very important for assessment of each instrument's calibration. One of the limitations is the lack of simultaneous nadir overpasses. Their measurements over a selected Earth view target have significant differences in solar and view angles, which magnify the effects of atmospheric scattering and Bidirectional Reflectance Distribution Function (BRDF). In this work, an inter-comparison technique is formulated after correction for site's BRDF and atmospheric effects. The reflectance measurements over Libya desert sites 1, 2, and 4 from both the Aqua and Terra MODIS are regressed to a BRDF model with an adjustable coefficient accounting for calibration difference. The ratio between Aqua and Terra reflectance measurements are derived for bands 1 to 9 and the results from different sites show good agreement. For year 2003, the ratios are in the range of 0.985 to 1.010 for band 1 to 9. Band 3 shows the lowest ratio 0.985 and band 1shows the highest ratio 1.010. For the year 2014, the ratio ranges from approximately 0.983 for bands 2 and 1.012 for band 8. The BRDF corrected reflectance for the two instruments are also derived for every year from 2003 to 2014 for stability assessment. Bands 1 and 2 show greater than 1% differences between the two instruments. Aqua bands 1 and 2 show downward trends while Terra bands 1 and 2 show upward trends. Bands 8 and 9 of both Aqua and Terra show large variations of reflectance measurement over time.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394341PMC
http://dx.doi.org/10.1109/TGRS.2016.2641258DOI Listing

Publication Analysis

Top Keywords

aqua terra
20
terra modis
8
reflectance measurements
8
year 2003
8
bands
7
aqua
6
reflectance
6
brdf
5
terra
5
modis rsb
4

Similar Publications

Artificial light at night reveals hotspots and rapid development of industrial activity in the Arctic.

Proc Natl Acad Sci U S A

October 2024

Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich 8057, Switzerland.

Article Synopsis
  • Climate change is making the Arctic more accessible, leading to potential industrial and urban growth, but there’s a lack of comprehensive data on this development.
  • A study using satellite data from 1992 to 2013 found that about 5.14% of the Arctic is lit by human activity, primarily in the European Arctic and oil/gas areas of Russia and Alaska, with an annual increase of 4.8%.
  • The research highlights that most artificial light in the Arctic is driven by industrial activity rather than human settlements, providing important data for future sustainable development and conservation efforts in the region.
View Article and Find Full Text PDF

Satellite retrieval of oceanic particulate organic carbon: Towards an accurate and seamless dataset for the global ocean.

Sci Total Environ

December 2024

MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China; School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China.

Particulate organic carbon (POC) plays crucial roles in the global ocean carbon cycle and the oceanic biological pump. Satellite remote sensing has been demonstrated to be an effective technique for the retrieval of surface oceanic POC concentration. However, the complex spatiotemporal variations of the relationships between POC and oceanic optical properties across different waters posed challenges for accurate retrieval of POC concentration from satellite observations.

View Article and Find Full Text PDF

Cyanobacterial blooms prediction in China's large hypereutrophic lakes based on MODIS observations and Bayesian theory.

J Hazard Mater

December 2024

State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address:

Cyanobacterial harmful algal blooms (HABs) pose a significant threat to aquatic ecosystems, water quality, and public health, particularly in large hypereutrophic lakes. Developing accurate short-term prediction models is essential for early warning and effective management of HABs. This study introduces a Bayesian-based model aimed at predicting HABs in three of China's large hypereutrophic lakes: Lake Taihu, Lake Chaohu, and Lake Hulunhu.

View Article and Find Full Text PDF

This study analyzed the meteorological and hydrological droughts in a typical basin of the Brazilian semiarid region from 1994 to 2016. In recent decades, this region has faced prolonged and severe droughts, leading to marked reductions in agricultural productivity and significant challenges to food security and water availability. The datasets employed included a digital elevation model, land use and cover data, soil characteristics, climatic data (temperature, wind speed, solar radiation, humidity, and precipitation), runoff data, images from the MODIS/TERRA and AQUA sensors (MOD09A1 and MODY09A1 products), and soil water content.

View Article and Find Full Text PDF

This study aims to analyze the temporal and spatial distribution of Aerosol Optical Properties across Northwest India using aerosol data from MODIS (Moderate Resolution Imaging Spectroradiometer) and OMI (Ozone Monitoring Instrument) sensors from 2003 to 2022. Therefore, this study investigated the decadal, interannual, and seasonal changes in aerosol optical properties, vegetation index, and meteorological parameters in the northwest Indian region (8 boxes). Using GIOVANNI (Goddard Earth Sciences Data and Information Services Center (GES DISC) Online Visualization and Analysis Infrastructure), we retrieved daily and monthly Aqua and Terra MODIS products of aerosol optical depth (AOD), Angstrom exponent (AE), normalized difference vegetation index (NDVI), and OMI aerosol index (AI) to examine the spatiotemporal variations by using statistical approaches.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!