scholarly journals Aerosol loading and its effect on respiratory dysfunction disorder over Dapaong-Togo

2019 ◽  
Vol 27 (4) ◽  
pp. 410-424
Author(s):  
Moses Emetere ◽  
Gbadegesin Adeyemi ◽  
Emmanuel Okoro ◽  
Samuel Sanni
Keyword(s):  
Remote Sensing ◽  
Deposition Efficiency ◽  
Primary Data ◽  
Respiratory Dysfunction ◽  
Aerosol Loading ◽  
Current State ◽  
Human Lungs ◽  
Ground Investigation ◽  
Future Prediction ◽  
Remote Sensing Techniques

It has been reported that respiratory dysfunction is responsible for 20% of deaths in Togo. There is need to know (in numerical value) the current state and future prediction of aerosol loading over the research site. The research is based on remote sensing techniques and proven mathematical models. Fifteen years primary (aerosol optical depth) dataset was obtained from the Multi-angle Imaging Spectro-Radiometer (MISR). The secondary datasets (aerosol loading, particles sizes, Angstrom exponent and the statistics of the primary dataset) was generated from the primary data. The average deposition efficiency of aerosols (into the human lungs) in the region is about 0.955. This research provides vital data for health referencing and on-ground investigation over Dapaong-Togo.

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.

scholarly journals Ground-based remote-sensing techniques for diagnosis of the current state and recent evolution of the Monte Perdido Glacier, Spanish Pyrenees

2018 ◽  
Vol 65 (249) ◽  
pp. 85-100 ◽  
Author(s):  
J. I. LÓPEZ-MORENO ◽  
E. ALONSO-GONZÁLEZ ◽  
O. MONSERRAT ◽  
L. M. DEL RÍO ◽  
J. OTERO ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Ground Penetrating Radar ◽  
Laser Scanner ◽  
Ice Thickness ◽  
Terrestrial Laser Scanner ◽  
Glacier Surface ◽  
Current State ◽  
Spanish Pyrenees ◽  
Remote Sensing Techniques ◽  
Ground Penetrating

ABSTRACTThis work combines very detailed measurements from terrestrial laser scanner (TLS), ground-based interferometry radar (GB-SAR) and ground-penetrating radar (GPR) to diagnose current conditions and to analyse the recent evolution of the Monte Perdido Glacier in the Spanish Pyrenees from 2011 to 2017. Thus, this is currently one of the best monitored small glacier (<0.5 km2) worldwide. The evolution of the glacier surface was surveyed with a TLS evidencing an important decline of 6.1 ± 0.3 m on average, with ice losses mainly concentrated over 3 years (2012, 2015 and 2017). Ice loss is unevenly distributed throughout the study period, with 10–15 m thinning in some areas while unchanged areas in others. GB-SAR revealed that areas with higher ice losses are those that are currently with no or very low ice motion. In contrast, sectors located beneath the areas with less ice loss are those that still exhibit noticeable ice movement (average 2–4.5 cm d─1 in summer, and annual movement of 9.98 ma─1 from ablation stakes data). GPR informed that ice thickness was generally <30 m, though locally 30–50 m. Glacier thinning is still accelerating and will lead to extinction of the glacier over the next 50 years.

scholarly journals Análisis del efecto de variables ambientales en la estimación de la erosionabilidad (Factor K) = Analysis of the Effect of Environmental Variables on the Soil Erodibility Estimation (K Factor)

2018 ◽  
pp. 195
Author(s):  
Pedro Perez Cutillas ◽  
Gonzalo G. Barberá ◽  
Carmelo Conesa García
Keyword(s):  
Remote Sensing ◽  
Environmental Variables ◽  
Input Data ◽  
Vegetation Index ◽  
Mineralogical Composition ◽  
Soil Erodibility ◽  
Estimation Algorithms ◽  
K Factor ◽  
Remote Sensing Techniques

El objetivo principal de este trabajo se centra en la determinación y análisis de las variables ambientales que influyen en las divergencias de las estimaciones de erosionabilidad a partir de dos métodos, aplicando tres algoritmos de estimación del Factor K. La exploración de esta información permite conocer el peso que ejerce el origen de los datos de entrada a los modelos en el cómputo de erosionabilidad y qué importancia tiene en función del algoritmo elegido para la estimación del Factor K. Los resultados muestran que las pendientes, así como los índices de vegetación (NDVI) y de composición mineralógico (IOI) obtenidos mediantes técnicas de teledetección han   mostrado los valores de asociación más elevados entre ambos métodos.The main goal of this work is to determine and analyze the influence of environmental variables on the changes of two erodibility methods, through the application of three estimation algorithms of K Factor. The analysis of this information allows knowing the significance of the input data to the models in the erodibility estimation, and likewise the consequence of the algorithm selected for the estimation of K Factor. The results show that the slopes, as well as the vegetation index (NDVI) and the mineralogical composition index (IOI), generated both by remote sensing techniques, have shown the highest values of association between methods.

scholarly journals Remote sensing of sun-induced chlorophyll-a fluorescence in inland and coastal waters: Current state and future prospects

2021 ◽  
Vol 262 ◽  
pp. 112482
Author(s):  
Remika S. Gupana ◽  
Daniel Odermatt ◽  
Ilaria Cesana ◽  
Claudia Giardino ◽  
Ladislav Nedbal ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Chlorophyll A ◽  
Coastal Waters ◽  
Chlorophyll A Fluorescence ◽  
Future Prospects ◽  
Current State
Sign in / Sign up

Export Citation Format

Share Document