scholarly journals Fighting Fire with Satellite Data

Eos ◽  
2016 ◽  
Author(s):  
Sarah Witman
Keyword(s):  
Climate Change ◽  
Satellite Data

As climate change worsens wildfire impact, scientists use satellites to study climate-fire interactions.

scholarly journals Analysis of Climate Change Effects on Surface Temperature in Central-Italy Lakes Using Satellite Data Time-Series

2021 ◽  
Vol 14 (1) ◽  
pp. 117
Author(s):  
Davide De Santis ◽  
Fabio Del Frate ◽  
Giovanni Schiavon
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Surface Temperature ◽  
Satellite Data ◽  
Water Surface ◽  
Central Italy ◽  
Large Lakes ◽  
Climate Change Effects ◽  
Surface Temperatures ◽  
The Impact

Evaluation of the impact of climate change on water bodies has been one of the most discussed open issues of recent years. The exploitation of satellite data for the monitoring of water surface temperatures, combined with ground measurements where available, has already been shown in several previous studies, but these studies mainly focused on large lakes around the world. In this work the water surface temperature characterization during the last few decades of two small–medium Italian lakes, Lake Bracciano and Lake Martignano, using satellite data is addressed. The study also takes advantage of the last space-borne platforms, such as Sentinel-3. Long time series of clear sky conditions and atmospherically calibrated (using a simplified Planck’s Law-based algorithm) images were processed in order to derive the lakes surface temperature trends from 1984 to 2019. The results show an overall increase in water surface temperatures which is more evident on the smallest and shallowest of the two test sites. In particular, it was observed that, since the year 2000, the surface temperature of both lakes has risen by about 0.106 °C/year on average, which doubles the rate that can be retrieved by considering the whole period 1984–2019 (0.053 °C/year on average).

Climate Change Analysis using Satellite Data

2017 ◽  
Vol 14 (1) ◽  
pp. 25-39
Author(s):  
Kamsali Nagaraja Balakrishnan Manikiam
Keyword(s):  
Climate Change ◽  
Satellite Data ◽  
Indian Subcontinent ◽  
Biosphere Reserve ◽  
Soil Condition ◽  
Wave Radiation ◽  
Change Analysis ◽  
Precipitation Estimates ◽  
Quantitative Precipitation Estimates

Recent times have witnessed increasing impact of industrialization and urban growth on environment. In addition, the potential climate changes and possible adverse impacts on the economy and society at large are causing concern. In India, one of the major concerns is the variability of monsoon rainfall and effects on agriculture and water management. The various parameters associated with environment and climate change need to be monitored and analyzed. The effects of global warming on the Indian subcontinent vary from the submergence of low-lying islands, frequent flooding, coastal degradation and melting of glaciers in the Indian Himalayas. Indian satellites INSAT and IRS launched in early 1980s heralded the era of Space observations. The IRS satellites are providing observations of parameters such as land use/cover, forest, water bodies, crops etc. while INSAT provides quantitative products such as Cloud Motion Vectors (CMVs), Quantitative Precipitation Estimates (QPEs), Outgoing Long-wave Radiation (OLR), Vertical Temperature Profiles (VTPRs), Sea Surface Temperature. The satellite data is operationally used for generating long term database on vegetation, soil condition, rainfall, groundwater etc.. Some of the unique studies are Biosphere Reserve Monitoring, Mapping of

Assessing Contribution of Climate Change on Wetlands by Using Multi-temporal Satellite Data

2020 ◽  
pp. 77-87
Author(s):  
Nebiye Musaoglu ◽  
Adalet Dervisoglu ◽  
Nur Yagmur ◽  
Baha Bilgilioglu ◽  
Aylin Tuzcu ◽  
...  
Keyword(s):  
Climate Change ◽  
Satellite Data ◽  
Multi Temporal

scholarly journals Use of snow cover derived from satellite passive microwave data as an indicator of climate change

1993 ◽  
Vol 17 ◽  
pp. 137-142 ◽  
Author(s):  
B.E. Goodison ◽  
A.E. Walker
Keyword(s):  
Climate Change ◽  
Global Change ◽  
Snow Cover ◽  
Satellite Data ◽  
Snow Water Equivalent ◽  
Regional Distribution ◽  
Passive Microwave ◽  
Change Analysis ◽  
Data Limitations ◽  
Microwave Data

To assess future global change, monitoring of the climate system through observation and analysis of seasonal and interannual fluctuations of climate variables is necessary. Cryospheric elements such as snow cover are often seen as sensitive indicators and integrators of basic climate conditions and hence an indicator of regional and global change. Snow-cover elements which may serve as signals of variability and change are discussed with respect to the effective use of conventional and remotely sensed information. Conventional data are shown to be effective for assessing questions of temporal variability, but are limited for spatial variability. Passive microwave satellite data make an important contribution by providing spatial and temporal information on snow water equivalent (SWE) and the regional distribution of snowpack extent and state. Use of NIMBUS-7 SMMR (Scanning Multichannel Microwave Radiometer) data to develop a time series of SWE is assessed as a complement to conventional data. Limitations of SMMR coverage compared to DMSP SSM/I (Special Sensor Microwave/Imager) coverage for production of SWE maps for climate change analysis are discussed. Although there are limitations during early season snow cover, information derived from passive microwave data is shown to be able to map and compute the areal coverage of SWE allowing interannual comparison of the amount of water available, the date of peak accumulation and the associated spatial distribution. However, the satellite data record is still too short to establish any definitive trend in snow-cover variability.

scholarly journals Climate Change Predicted to Worsen Spread of Cholera

Eos ◽  
2015 ◽  
Vol 96 ◽  
Author(s):  
JoAnna Wendel
Keyword(s):  
Climate Change ◽  
Satellite Data ◽  
Climate Models

Coupling satellite data with climate models, scientists are beginning to understand how warming temperatures and increased precipitation will affect cholera outbreaks.

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