Near-real time retrievals of land surface temperature within the MODIS Rapid Response System

2007 ◽  
Vol 106 (3) ◽  
pp. 326-336 ◽  
Author(s):  
A.C.T. Pinheiro ◽  
J. Descloitres ◽  
J.L. Privette ◽  
J. Susskind ◽  
L. Iredell ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Real Time ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Rapid Response ◽  
Rapid Response System ◽  
Response System

scholarly journals Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)

2021 ◽  
Vol 314 ◽  
pp. 04003
Author(s):  
Sara Moutia ◽  
Mohamed Sinan ◽  
Brahim Lekhlif
Keyword(s):  
Surface Temperature ◽  
Real Time ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Agricultural Drought ◽  
Health Index ◽  
Spatial Coverage ◽  
Vegetation Health ◽  
Vegetation Health Index

According to IPCC, Morocco is a highly vulnerable country to extreme climate events, especially droughts; this will affect different socioeconomic sectors, mainly the agriculture sector. Droughts are controlled by the variability of precipitation and evapotranspiration but also not neglecting the effect of land surface conditions such as land surface temperature. In this present study, the remote sense observations MODIS Normalized Difference Vegetation Index (NDVI) and CMSAF Land Surface Temperature (LST) were used for calculating the Vegetation Health Index (VHI). The main advantage of remote sensing products is that they are reasonably efficient in terms of temporal and spatial coverage, and they are useful for the monitoring and assessment of drought in the near real-time. Furthermore, ERA5 Reanalysis-based SPEI is calculated. The goal of this study is to assess the spatial and temporal patterns of drought, this study offers the composite of SPEI and VHI drought monitoring obtained by plotting maps and graphs to show the monthly and annual variability of drought for the period 2000–2015 over the whole of Morocco. This monitoring can be used as a near real-time warning system in a changing climate.

Effect of a Real-Time Electronic Dashboard on a Rapid Response System

2017 ◽  
Vol 42 (1) ◽  
Author(s):  
Grant S. Fletcher ◽  
Barry A. Aaronson ◽  
Andrew A. White ◽  
Reena Julka
Keyword(s):  
Real Time ◽  
Rapid Response ◽  
Rapid Response System ◽  
Response System

scholarly journals Mortality and Length of Stay Trends Following Implementation of a Rapid Response System and Real-Time Automated Clinical Deterioration Alerts

2016 ◽  
Vol 32 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Marin H. Kollef ◽  
Kevin Heard ◽  
Yixin Chen ◽  
Chenyang Lu ◽  
Nelda Martin ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Real Time ◽  
General Medicine ◽  
Hospital Length ◽  
Rapid Response ◽  
Clinical Deterioration ◽  
Hospital Length Of Stay ◽  
Rapid Response System ◽  
Response System ◽  
Lengths Of Stay

A study was performed to determine the potential influence of a rapid response system (RRS) employing real-time clinical deterioration alerts (RTCDAs) on patient outcomes involving 8 general medicine units. Introduction of the RRS occurred in 2006 with staged addition of the RTCDAs in 2009. Statistically significant year-to-year decreases in mortality were observed through 2014 ( r = −.794; P = .002). Similarly, year-to-year decreases in the number of cardiopulmonary arrests (CPAs; r = −.792; P = .006) and median lengths of stay ( r = −.841; P = .001) were observed. There was a statistically significant year-to-year increase in the number of RRS activations for these units ( r = .939; P < .001) that was inversely correlated with the occurrence of CPAs ( r = −.784; P = .007). In this single-institution retrospective study, introduction of a RRS employing RTCDAs was associated with lower hospital mortality, CPAs, and hospital length of stay.

scholarly journals Near real-time estimation of Sea and Land surface temperature for MSG SEVIRI sensors

2020 ◽  
Vol 89 ◽  
pp. 102096
Author(s):  
José A. Sobrino ◽  
Yves Julien ◽  
Juan-Carlos Jiménez-Muñoz ◽  
Drazen Skokovic ◽  
Guillem Sòria
Keyword(s):  
Surface Temperature ◽  
Real Time ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Time Estimation ◽  
Real Time Estimation

Land Surface High Temperature Monitoring in Belt and Road Communities

2020 ◽  
Author(s):  
Ronghan Xu
Keyword(s):  
High Temperature ◽  
Surface Temperature ◽  
Real Time ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Areas ◽  
Thermal Environment ◽  
Health And Social Care ◽  
Satellite Sensors ◽  
Belt And Road

&lt;p&gt;Heatwaves are extended periods of extremely hot weather and high temperature that have a major impact on human health, socioeconomics and natural systems. As predicted by climate models, ongoing global warming will potentially increase the incidence, intensity and duration of summertime heatwave events. Nevertheless, heat-related health impacts are largely preventable if populations, health and social care systems and public infrastructure are prepared. Therefore, this is plausible if heatwave events are studies for which heatwave real-time monitoring and assessment are central components. It is well recognized that land surface temperature retrieved by satellite sensors is an important variable associated with heatwaves and surface warming research. Land surface temperature retrieved by satellite sensors can be observed spatially and temporally, adequate for applications needing real-time and continuous measurements in quick response. In this study, Chinese Fengyun satellite data were used to monitor the land surface thermal environment during the heatwave event in Belt and Road communities. Split-window algorithm were applied to retrieve land surface temperature from thermal sensor. Spatial temporal distributions of Land surface high temperature are monitored in West Europe, India, and Australia as examples during their high temperature weather. The result shows that monitoring the real-time heatwave hazards in quick responds help provided information to the decision makers and get insight into the thermal environment characteristics over urban areas.&lt;/p&gt;

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