Cloud growth process appeared in the global scale distribution of the cloud optical and microphysical properties retrieved from the satellite remote sensing

2008 ◽  
Author(s):  
Takashi Y. Nakajima ◽  
Kentaroh Suzuki ◽  
Toshihiko Takemura ◽  
Teruyuki Nakajima
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Growth Process ◽  
Global Scale ◽  
Microphysical Properties

scholarly journals Satellite remote sensing of Asian aerosols: a case study of clean, polluted and dust storm days

2010 ◽  
Vol 3 (3) ◽  
pp. 2651-2680 ◽  
Author(s):  
K. H. Lee ◽  
Y. J. Kim
Keyword(s):  
Remote Sensing ◽  
East Asia ◽  
Satellite Remote Sensing ◽  
Satellite Observation ◽  
Global Scale ◽  
Observation Data ◽  
Aerosol Composition ◽  
Surface Reflection ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Linear Slope

Abstract. Satellite-based aerosol observation is a useful tool for the estimation of microphysical and optical characteristics of aerosol during more than three decades. Until now, a lot of satellite remote sensing techniques have been developed for aerosol detection. In East Asian region, the role of satellite observation is quite important because aerosols originating from natural and man-made pollution in this region have been recognized as an important source for regional and global scale air pollution. However, it is still difficult to retrieve aerosol over land because of the complexity of the surface reflection and complex aerosol composition, in particular, aerosol absorption. In this study, aerosol retrievals using Look-up Table (LUT) based method was applied to MODerate Resolution Imaging Spectroradiometer (MODIS) Level 1 (L1) calibrated reflectance data to retrieve aerosol optical thickness (AOT) over East Asia. Three case studies show how the methodology works to identify those differences to obtain a better AOT retrieval. The comparison between the MODIS and Aerosol Robotic Network (AERONET) shows better results when the suggested methodology using the cluster based LUTs is applied (linear slope=0.94, R=0.92) than when operational MODIS aerosol products are used (linear slope=0.78, R=0.87). In conclusion, the suggested methodology is shown to work well with aerosol models acquired by statistical clustering the observation data in East Asia.

scholarly journals Remote sensing of aerosol in the terrestrial atmosphere from space: new missions

2015 ◽  
Vol 5 (1) ◽  
pp. 11-16 ◽  
Author(s):  
G. Milinevsky ◽  
Ya. Yatskiv ◽  
O. Degtyaryov ◽  
I. Syniavskyi ◽  
Yu. Ivanov ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Atmospheric Aerosols ◽  
Climate Models ◽  
Global Scale ◽  
Climate Impact ◽  
Quality Of Data ◽  
Anthropogenic Aerosol ◽  
Terrestrial Atmosphere ◽  
Microphysical Properties ◽  
Cloud Properties

The distribution and properties of atmospheric aerosols on a global scale are not well known in terms of determination of their effects on climate. This mostly is due to extreme variability of aerosol concentrations, properties, sources, and types. Aerosol climate impact is comparable to the effect of greenhouse gases, but its influence is more difficult to measure, especially with respect to aerosol microphysical properties and the evaluation of anthropogenic aerosol effect. There are many satellite missions studying aerosol distribution in the terrestrial atmosphere, such as MISR/Terra, OMI/Aura, AVHHR, MODIS/Terra and Aqua, CALIOP/CALIPSO. To improve the quality of data and climate models, and to reduce aerosol climate forcing uncertainties, several new missions are planned. The gap in orbital instruments for studying aerosol microphysics has arisen after the Glory mission failed during launch in 2011. In this review paper, we describe several planned aerosol space missions, including the Ukrainian project Aerosol-UA that obtains data using a multi-channel scanning polarimeter and wide-angle polarimetric camera. The project is designed for remote sensing of the aerosol microphysics and cloud properties on a global scale.

Satellite remote sensing and the management of protected areas

2019 ◽  
pp. 79-94
Author(s):  
Nathalie Pettorelli
Keyword(s):  
Remote Sensing ◽  
Protected Areas ◽  
Satellite Data ◽  
Satellite Remote Sensing ◽  
Management Strategies ◽  
Cost Effective ◽  
Global Scale ◽  
Climatic Conditions ◽  
The Third ◽  
Cost Effective Method

This chapter explores how satellite-based approaches can be used as a cost-effective method to support monitoring efforts of protected areas, offering a cheap, verifiable way to identify areas of concern at a global scale, and to support managers in their effort to design and apply adaptive management strategies. Because protected areas can differ in terms of management needs and landscape/seascape access, the chapter starts with a quick introduction to categories of protected areas. Where to set new protected areas is one of the key questions faced by decision makers in need of meeting current biodiversity targets, and the second part of this work explores how satellite remote sensing can inform such a choice. Climatic conditions can significantly impact protected areas’ biodiversity, and the third section of this chapter briefly assesses common ways to derive information about local climatic anomalies from satellite data. The last sections of this chapter discuss the use of satellite data to assess effectiveness, and introduce the Digital Observatory of Protected Areas.

Monitoring land use change in the Lake Taupo catchment between 1975, 1990 and 2002 using satellite remote sensing data

2007 ◽  
pp. 17-22
Author(s):  
H. Lilienthal ◽  
A. Brauer ◽  
K. Betteridge ◽  
E. Schnug
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Native Vegetation ◽  
Lake Water Quality ◽  
Livestock Farming ◽  
Slow Decline

Conversion of native vegetation into farmed grassland in the Lake Taupo catchment commenced in the late 1950s. The lake's iconic value is being threatened by the slow decline in lake water quality that has become apparent since the 1970s. Keywords: satellite remote sensing, nitrate leaching, land use change, livestock farming, land management

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