scholarly journals Synergistic Use of Nighttime Satellite Data, Electric Utility Infrastructure, and Ambient Population to Improve Power Outage Detections in Urban Areas

2017 ◽  
Vol 9 (3) ◽  
pp. 286 ◽  
Author(s):  
Tony Cole ◽  
David Wanik ◽  
Andrew Molthan ◽  
Miguel Román ◽  
Robert Griffin
Keyword(s):  
Satellite Data ◽  
Urban Areas ◽  
Electric Utility ◽  
Power Outage ◽  
Ambient Population

The Use of Satellite TIR Time Series for Thermal Anomalies’ Detection on Natural and Urban Areas

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Malvina Silvestri ◽  
Federico Rabuffi ◽  
Massimo Musacchio ◽  
Sergio Teggi ◽  
Maria Fabrizia Buongiorno
Keyword(s):  
Time Series ◽  
Land Surface Temperature ◽  
Satellite Data ◽  
Land Surface ◽  
Urban Areas ◽  
Temperature Time Series ◽  
Campi Flegrei ◽  
Thermal Anomalies ◽  
Pca Method ◽  
Temperature Time

In this work, the land surface temperature time series derived using Thermal InfraRed (TIR) satellite data offers the possibility to detect thermal anomalies by using the PCA method. This approach produces very detailed maps of thermal anomalies, both in geothermal areas and in urban areas. Tests were conducted on the following three Italian sites: Solfatara-Campi Flegrei (Naples), Parco delle Biancane (Grosseto) and Modena city.

scholarly journals Multi-Temporal Landsat8 Satellite Data Based Crops and Other Land Use Spatial Estimation in Okara District of Pakistan

2018 ◽  
Author(s):  
Ibrar ul Hassan Akhtar ◽  
Athar Hussain ◽  
Kashif Javed ◽  
Hammad Ghazanfar
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Data ◽  
Urban Areas ◽  
Integrated Approach ◽  
Kappa Statistics ◽  
Digital Information ◽  
Land Use Land Cover ◽  
Land Utilization ◽  
Cropping Patterns

Developing countries like Pakistan is among those where lack of adoption to science and technology advancement is a major constraint for Satellite Remote Sensing use in crops and land use land cover digital information generation. Exponential rise in country population, increased food demand, limiting natural resources coupled with migration of rural community to urban areas had further led to skewed official statistics. This study is an attempt to demonstrate the possible use of freely available satellite data like Landsat8 under complex cropping system of Okara district of Punjab, Pakistan. An Integrated approach has been developed for the satellite data based crops and land use/cover spatial area estimation. The resultant quality was found above 96% with Kappa statistics of 0.95. Land utilization statistics provided detail information about cropping patterns as well as land use land cover status. Rice was recorded as most dominating crop in term of cultivation area of around 0.165 million ha followed by autumn maize 0.074 million ha, Fallow crop fields 0.067 million ha and Sorghum 0.047 million ha. Other minor crops observed were potato, fodder and cotton being cultivated on less than 0.010 million ha. Population settlements were observed over an area of around 0.081 million ha of land. 

The 2018 Hokkaido Eastern Iburi Earthquake and its Aftermath

2019 ◽  
Vol 14 (Scientific Communication) ◽  
pp. sc20190112 ◽  
Author(s):  
Hiroaki Takahashi ◽  
Reo Kimura ◽  
◽  
Keyword(s):  
Urban Areas ◽  
Seismic Intensity ◽  
Soil Liquefaction ◽  
Japan Meteorological Agency ◽  
Economic Damage ◽  
Economic Activities ◽  
Crust And Upper Mantle ◽  
Power Outage ◽  
System A ◽  
Upper Mantle Structure

The central Hokkaido, Northern Japan, was struck by an earthquake of M6.7 on September 6, 2018. Its deep hypocenter of 37 km might result of a complex crust and upper mantle structure in Hidaka arc-arc collision system. A seismic intensity of 7 on the Japan Meteorological Agency (JMA) scale was observed at Atsuma Town. About 90% of the casualties were due to the multiple earthquake-induced landslides in Atsuma Town, and a significant number of houses in the urban areas of Sapporo were damaged due to soil liquefaction. Destruction of electric power facilities near the epicenter caused a long-term power outage in approximately 2,950,000 houses in Hokkaido. The widespread blackout caused secondary damages to utilities, civil life, and economic activities in the region. The number of refugees from this incident was approximately 13,111 in maximum, and the economic damage also increased further as a result of the electric blackout. The Hokkaido Prefectural Government immediately applied the Disaster Relief Act on that accrual day. On September 28, 2018, the National Government certified the event as the Designated Disaster of Extreme Severity.

scholarly journals OPTIMAL EXTRACTION OF TROPOSPHERIC OZONE COLUMN BY SIMULTANEOUS USE OF OMI AND TES DATA AND THE SURFACE TEMPERATURE

2015 ◽  
Vol XL-1-W5 ◽  
pp. 467-474
Author(s):  
M. R. Mobasheri ◽  
H. Shirazi
Keyword(s):  
Satellite Data ◽  
Tropospheric Ozone ◽  
Urban Areas ◽  
Ozone Production ◽  
Vertical Resolution ◽  
The Earth ◽  
Ozone Data ◽  
Ozone Profile ◽  
Mathematical Equations ◽  
Ozone Column

This article aims to increase the accuracy of Ozone data from tropospheric column (TOC) of the OMI and TES satellite instruments. To validate the estimated amount of satellite data, Ozonesonde data is used. The vertical resolution in both instruments in the tropospheric atmosphere decreases so that the degree of freedom signals (DOFS) on the average for TES is reduced to 2 and for OMI is reduced to1. But this decline in accuracy in estimation of tropospheric ozone is more obvious in urban areas so that estimated ozone in both instruments alone in non-urban areas show a high correlation with Ozonesonde. But in urban areas this correlation is significantly reduced, due to the ozone pre-structures and consequently an increase on surface-level ozone in urban areas. In order to improve the accuracy of satellite data, the average tropospheric ozone data from the two instruments were used. The aim is to increase the vertical resolution of ozone profile and the results clearly indicate an increase in correlations, but nevertheless the satellite data have a positive bias towards the earth data. To reduce the bias, with the solar flux and nitrogen dioxide values and surface temperatures are calculated as factors of ozone production on the earth’s surface and formation of mathematical equations based on coefficients for each of the mentioned values and multiplication of these coefficients by satellite data and repeated comparison with the values of Ozonesonde, the results showed that bias in urban areas is greatly reduced.

Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies

2016 ◽  
pp. 443-457 ◽  
Author(s):  
Guido Cervone ◽  
Emily Schnebele ◽  
Nigel Waters ◽  
Martina Moccaldi ◽  
Rosa Sicignano
Keyword(s):  
Social Media ◽  
Satellite Data ◽  
Urban Areas ◽  
Damage Assessment

scholarly journals Landsat8 Based Crops and Other Land Use Mapping in Okara District of Pakistan

2018 ◽  
Author(s):  
Ibrar ul Hassan Akhtar ◽  
Athar Hussain ◽  
Kashif Javed ◽  
Hammad Ghazanfar
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Data ◽  
Urban Areas ◽  
Integrated Approach ◽  
Kappa Statistics ◽  
Digital Information ◽  
Land Use Land Cover ◽  
Land Utilization ◽  
Cropping Patterns

Developing countries like Pakistan is among those where lack of adoption to science and technology advancement is major constraint for Satellite Remote Sensing use in crops and land use land cover digital information generation. Exponential rise in country population, increased food demand, limiting natural resources coupled with migration of rural community to urban areas had further led to skewed official statistics. This study is an attempt to demonstrate the possible use of freely available satellite data like Landsat8 under complex cropping system of Okara district of Punjab, Pakistan. An Integrated approach has been developed for the satellite data based crops and land use/cover spatial area estimation. The resultant quality was found above 96% with Kappa statistics of 0.95. Land utilization statistics provided detail information about cropping patterns as well as land use land cover status. Rice was recorded as most dominating crop in term of cultivation area of around 0.165 million ha followed by autumn maize 0.074 million ha, Fallow crop fields 0.067 million ha and Sorghum 0.047 million ha. Other minor crops observed were potato, fodder and cotton being cultivated on less than 0.010 million ha. Population settlements were observed over an area of around 0.081 million ha of land. 

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