Application of spectral analysis techniques in the intercomparison of aerosol data: 1. An EOF approach to analyze the spatial-temporal variability of aerosol optical depth using multiple remote sensing data sets

2013 ◽  
Vol 118 (15) ◽  
pp. 8640-8648 ◽  
Author(s):  
Jing Li ◽  
Barbara E. Carlson ◽  
Andrew A. Lacis
Keyword(s):  
Remote Sensing ◽  
Spectral Analysis ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Temporal Variability ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Sensing Data ◽  
Analysis Techniques

scholarly journals Importance of Aerosol Optical Depth in the Atmospheric Correction of Ocean Colour Remote Sensing Data

2017 ◽  
Vol 07 (01) ◽  
pp. 100-108
Author(s):  
Sriperambudur Udaya Laxmi ◽  
Sonnati Chandralingam ◽  
Pullaiahgari Venkata Nagamani ◽  
Inaganti Veera Ganga Bhavani ◽  
Yerramsetti Umamaheswara Rao
Keyword(s):  
Remote Sensing ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Atmospheric Correction ◽  
Remote Sensing Data ◽  
Ocean Colour ◽  
Sensing Data ◽  
Ocean Colour Remote Sensing

A climatology of aerosol optical depth over China from recent 10 years of MODIS remote sensing data

2013 ◽  
Vol 34 (3) ◽  
pp. 863-870 ◽  
Author(s):  
Yuxiang Luo ◽  
Xiaobo Zheng ◽  
Tianliang Zhao ◽  
Juan Chen
Keyword(s):  
Remote Sensing ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals Study of Aerosol Optical Depth Climatology Using Modis Remote Sensing Data

2020 ◽  
Vol 9 (9) ◽  
pp. 291
Author(s):  
Amaury De Souza ◽  
Marcel Carvalho Abreu ◽  
José Francisco De Oliveira-Júnior ◽  
Cícero Manoel Dos Santos ◽  
Ivana Pobocikova ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Remote Sensing Data ◽  
Sensing Data

scholarly journals The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets

2017 ◽  
Vol 21 (9) ◽  
pp. 4747-4765 ◽  
Author(s):  
Clara Linés ◽  
Micha Werner ◽  
Wim Bastiaanssen
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Drought Management ◽  
Ebro Basin ◽  
Sensing Data ◽  
Drought Impacts ◽  
Management Plans ◽  
Drought Indicators ◽  
Selection Of

Abstract. The implementation of drought management plans contributes to reduce the wide range of adverse impacts caused by water shortage. A crucial element of the development of drought management plans is the selection of appropriate indicators and their associated thresholds to detect drought events and monitor the evolution. Drought indicators should be able to detect emerging drought processes that will lead to impacts with sufficient anticipation to allow measures to be undertaken effectively. However, in the selection of appropriate drought indicators, the connection to the final impacts is often disregarded. This paper explores the utility of remotely sensed data sets to detect early stages of drought at the river basin scale and determine how much time can be gained to inform operational land and water management practices. Six different remote sensing data sets with different spectral origins and measurement frequencies are considered, complemented by a group of classical in situ hydrologic indicators. Their predictive power to detect past drought events is tested in the Ebro Basin. Qualitative (binary information based on media records) and quantitative (crop yields) data of drought events and impacts spanning a period of 12 years are used as a benchmark in the analysis. Results show that early signs of drought impacts can be detected up to 6 months before impacts are reported in newspapers, with the best correlation–anticipation relationships for the standard precipitation index (SPI), the normalised difference vegetation index (NDVI) and evapotranspiration (ET). Soil moisture (SM) and land surface temperature (LST) offer also good anticipation but with weaker correlations, while gross primary production (GPP) presents moderate positive correlations only for some of the rain-fed areas. Although classical hydrological information from water levels and water flows provided better anticipation than remote sensing indicators in most of the areas, correlations were found to be weaker. The indicators show a consistent behaviour with respect to the different levels of crop yield in rain-fed areas among the analysed years, with SPI, NDVI and ET providing again the stronger correlations. Overall, the results confirm remote sensing products' ability to anticipate reported drought impacts and therefore appear as a useful source of information to support drought management decisions.

scholarly journals Giovanni: The Bridge Between Data and Science

Eos ◽  
2017 ◽  
Author(s):  
Zhong Liu ◽  
James Acker
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Earth Science ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Science Data ◽  
Web Based ◽  
Sensing Data ◽  
Daunting Task ◽  
Earth Science Data

Using satellite remote sensing data sets can be a daunting task. Giovanni, a Web-based tool, facilitates access, visualization, and exploration for many of NASA’s Earth science data sets.

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