scholarly journals Final Report for "Improved Representations of Cloud Microphysics for Model and Remote Sensing Evaluation using Data Collected during ISDAC, TWP-ICE and RACORO

2003 ◽  
Author(s):  
Greg M. McFarquhar
Keyword(s):  
Remote Sensing ◽  
Cloud Microphysics ◽  
Final Report ◽  
Using Data

System Information Model of Obtaining and Using Data of Remote Sensing the Earth

2008 ◽  
Vol 40 (11) ◽  
pp. 46-56
Author(s):  
Ludmila I. Samoilenko ◽  
Sergey A. Baulin ◽  
Tatyana V. Ilyenko ◽  
Margarita A. Kirnosova ◽  
Ludmila N. Kolos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Model ◽  
The Earth ◽  
System Information ◽  
Using Data

scholarly journals Drone-Based Remote Sensing for Research on Wind Erosion in Drylands: Possible Applications

2021 ◽  
Vol 13 (2) ◽  
pp. 283
Author(s):  
Junzhe Zhang ◽  
Wei Guo ◽  
Bo Zhou ◽  
Gregory S. Okin
Keyword(s):  
Remote Sensing ◽  
Wind Erosion ◽  
Field Measurements ◽  
Spatially Explicit ◽  
Surface Model ◽  
High Resolution Imagery ◽  
Soil Elevation ◽  
3D Photogrammetry ◽  
Using Data ◽  
Sample Set

With rapid innovations in drone, camera, and 3D photogrammetry, drone-based remote sensing can accurately and efficiently provide ultra-high resolution imagery and digital surface model (DSM) at a landscape scale. Several studies have been conducted using drone-based remote sensing to quantitatively assess the impacts of wind erosion on the vegetation communities and landforms in drylands. In this study, first, five difficulties in conducting wind erosion research through data collection from fieldwork are summarized: insufficient samples, spatial displacement with auxiliary datasets, missing volumetric information, a unidirectional view, and spatially inexplicit input. Then, five possible applications—to provide a reliable and valid sample set, to mitigate the spatial offset, to monitor soil elevation change, to evaluate the directional property of land cover, and to make spatially explicit input for ecological models—of drone-based remote sensing products are suggested. To sum up, drone-based remote sensing has become a useful method to research wind erosion in drylands, and can solve the issues caused by using data collected from fieldwork. For wind erosion research in drylands, we suggest that a drone-based remote sensing product should be used as a complement to field measurements.

scholarly journals Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship‐based and satellite remote sensing observations

2017 ◽  
Vol 122 (4) ◽  
pp. 2403-2418 ◽  
Author(s):  
David Painemal ◽  
J.‐Y. Christine Chiu ◽  
Patrick Minnis ◽  
Christopher Yost ◽  
Xiaoli Zhou ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Boundary Layer ◽  
Satellite Remote Sensing ◽  
Cloud Microphysics ◽  
Northeast Pacific

scholarly journals Remote sensing and GPR study of the Raddle glacier of the Ridge Munku-Sardyk (the East Sayan)

2020 ◽  
Vol 26 (2) ◽  
pp. 275-285
Author(s):  
Aleksandr Kitov ◽  
Ivan Denisenko ◽  
Oxana Lunina ◽  
Andrey Gladkov ◽  
Viktor Plyusnin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Main Part ◽  
Surface Characteristics ◽  
Open Part ◽  
The North ◽  
The Earth ◽  
Using Data ◽  
Eastern Sayan ◽  
Geometric Changes ◽  
First Time

The Munku-Sardyk (Eastern Sayan) glacier has been described and studied for more than 100 years. The first largest glacier of Peretolchina was studied in the most detailed detail. Radde's second-largest glacier is much weaker. Monitoring of surface characteristics of the Radde glacier by ground methods and using data of remote sensing of the Earth (RSE) has been carried out since 2006. In 2018, georadar profiling of this glacier was performed for the first time. As a result, it was possible not only to clarify its surface characteristics, but also to assess the power of the ice and the internal structure (a layer of firn, ice, bed). According to the RSE, its geometric changes have been revealed. Over 120 years, the open part of the Radde Glacier has shrunk from 0.4 to 0.09 km2, and the length from 1 to 0.4 km. It also revealed the division of the glacier into two parts and the intensive reservation of the bottom of the main part of the tongue by surface moraines and the formation of a glacial lake on the glacier itself in the lower part of the second half. Radar research using the Oko-2 georadar, allowed to determine the volume of ice of this glacier 0.003 km3 and the greatest thickness of the main ice body 42 m. The main glacier flows down from the Eskadriliy top, 3168 m, to the north, flows on the cross-bar and from it turns to the northeast, and at the bottom of the kar will continue to flow north again.

scholarly journals Validation of Remote Sensing Retrieval Products using Data from a Wireless Sensor-Based Online Monitoring in Antarctica

Sensors ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 1938 ◽  
Author(s):  
Xiuhong Li ◽  
Xiao Cheng ◽  
Rongjin Yang ◽  
Qiang Liu ◽  
Yubao Qiu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Online Monitoring ◽  
Wireless Sensor ◽  
Using Data

scholarly journals Remote sensing the vertical profile of cloud droplet effective radius, thermodynamic phase, and temperature

2011 ◽  
Vol 11 (18) ◽  
pp. 9485-9501 ◽  
Author(s):  
J. V. Martins ◽  
A. Marshak ◽  
L. A. Remer ◽  
D. Rosenfeld ◽  
Y. J. Kaufman ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Energy Balance ◽  
Brightness Temperature ◽  
Vertical Profile ◽  
Water Cycle ◽  
Cloud Condensation Nuclei ◽  
Cloud Droplet ◽  
Cloud Microphysics ◽  
Condensation Nuclei ◽  
Thermodynamic Phase

Abstract. Cloud-aerosol interaction is a key issue in the climate system, affecting the water cycle, the weather, and the total energy balance including the spatial and temporal distribution of latent heat release. Information on the vertical distribution of cloud droplet microphysics and thermodynamic phase as a function of temperature or height, can be correlated with details of the aerosol field to provide insight on how these particles are affecting cloud properties and their consequences to cloud lifetime, precipitation, water cycle, and general energy balance. Unfortunately, today's experimental methods still lack the observational tools that can characterize the true evolution of the cloud microphysical, spatial and temporal structure in the cloud droplet scale, and then link these characteristics to environmental factors and properties of the cloud condensation nuclei. Here we propose and demonstrate a new experimental approach (the cloud scanner instrument) that provides the microphysical information missed in current experiments and remote sensing options. Cloud scanner measurements can be performed from aircraft, ground, or satellite by scanning the side of the clouds from the base to the top, providing us with the unique opportunity of obtaining snapshots of the cloud droplet microphysical and thermodynamic states as a function of height and brightness temperature in clouds at several development stages. The brightness temperature profile of the cloud side can be directly associated with the thermodynamic phase of the droplets to provide information on the glaciation temperature as a function of different ambient conditions, aerosol concentration, and type. An aircraft prototype of the cloud scanner was built and flew in a field campaign in Brazil. The CLAIM-3D (3-Dimensional Cloud Aerosol Interaction Mission) satellite concept proposed here combines several techniques to simultaneously measure the vertical profile of cloud microphysics, thermodynamic phase, brightness temperature, and aerosol amount and type in the neighborhood of the clouds. The wide wavelength range, and the use of multi-angle polarization measurements proposed for this mission allow us to estimate the availability and characteristics of aerosol particles acting as cloud condensation nuclei, and their effects on the cloud microphysical structure. These results can provide unprecedented details on the response of cloud droplet microphysics to natural and anthropogenic aerosols in the size scale where the interaction really happens.

scholarly journals INVENTÁRIO DE CARBONO EM FRAGMENTO DE FLORESTA OMBRÓFILA MISTA POR DETECÇÃO REMOTA

FLORESTA ◽  
2014 ◽  
Vol 44 (4) ◽  
pp. 697
Author(s):  
Henrique Luis Godinho Cassol ◽  
Dejanira Luderitz Saldanha ◽  
Tatiana Mora Kuplich
Keyword(s):  
Remote Sensing ◽  
Satellite Data ◽  
Empirical Relationship ◽  
Data Sets ◽  
Above Ground Biomass ◽  
Continuous Forest ◽  
Using Data ◽  
Continuous Forest Inventory ◽  
Radiometric Data ◽  
Carbon Inventory

O trabalho teve como objetivo inventariar o carbono de um fragmento de Floresta Ombrófila Mista utilizando dados provenientes de sensores de média resolução espacial. Uma cena dos sensores ASTER, LISS e TM foi empregada na obtenção dos dados radiométricos (espectrais), e os dados de biomassa e carbono (biofísicos) foram oriundos de parcelas de inventário florestal contínuo em São João do Triunfo, PR. A metodologia consistiu em estabelecer a relação empírica entre esses conjuntos de dados por meio de equações lineares de regressão. À exceção do sensor TM, que apresentou resultado insatisfatório, o uso dos dados oriundos dos sensores LISS e ASTER foi adequado para se inventariar o carbono florestal por detecção remota, com erros inferiores aos estabelecidos nas campanhas de inventários tradicionais (α < 0,05).Palavras-chave: Estoque de carbono; sensoriamento remoto; ASTER; TM; LISS. AbstractCarbon inventory in a fragment of Mixed Ombrophylous Forest by remote sensing. The research aims to make inventory of carbon of a fragment of Araucaria Forest using data from medium spatial resolution sensors. Satellite data from ASTER, TM and LISS were used to obtain the radiometric data. The above ground biomass and carbon data (biophysical data) were derived from the continuous forest inventory located in São João do Triunfo, PR. The methodology consisted of establishing the empirical relationship between spectral and biophysical data sets using linear regression. Except for the TM data, which showed unsatisfactory results, the use of ASTER and LISS satellite data was suited to forest carbon inventory by remote sensing, with errors lower than those set in traditional inventory campaigns (α < 0,05).Keywords: Carbon stock; remote sensing; ASTER; TM; LISS.

scholarly journals Monitoring Beach Topography and Nearshore Bathymetry Using Spaceborne Remote Sensing: A Review

2019 ◽  
Vol 11 (19) ◽  
pp. 2212 ◽  
Author(s):  
Edward Salameh ◽  
Frédéric Frappart ◽  
Rafael Almar ◽  
Paulo Baptista ◽  
Georg Heygster ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Frequency ◽  
Anthropogenic Pressure ◽  
Fundamental Parameters ◽  
Temporal Sampling ◽  
Current State ◽  
Needed Information ◽  
Spatial Coverage ◽  
Remote Sensing Techniques ◽  
Using Data

With high anthropogenic pressure and the effects of climate change (e.g., sea level rise) on coastal regions, there is a greater need for accurate and up-to-date information about the topography of these systems. Reliable topography and bathymetry information are fundamental parameters for modelling the morpho-hydrodynamics of coastal areas, for flood forecasting, and for coastal management. Traditional methods such as ground, ship-borne, and airborne surveys suffer from limited spatial coverage and temporal sampling due to logistical constraints and high costs which limit their ability to provide the needed information. The recent advancements of spaceborne remote sensing techniques, along with their ability to acquire data over large spatial areas and to provide high frequency temporal monitoring, has made them very attractive for topography and bathymetry mapping. In this review, we present an overview of the current state of spaceborne-based remote sensing techniques used to estimate the topography and bathymetry of beaches, intertidal, and nearshore areas. We also provide some insights about the potential of these techniques when using data provided by new and future satellite missions.

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