Beyond Disaster Management: Innovative Case Studies for Using Remote Sensing Data in International Development Projects

2016 ◽  
Author(s):  
Krystal Wilson
Keyword(s):  
Remote Sensing ◽  
International Development ◽  
Case Studies ◽  
Disaster Management ◽  
Remote Sensing Data ◽  
Development Projects ◽  
Sensing Data

scholarly journals Editorial for Special Issue: “Remote Sensing based Building Extraction”

2020 ◽  
Vol 12 (3) ◽  
pp. 549
Author(s):  
Mohammad Awrangjeb ◽  
Xiangyun Hu ◽  
Bisheng Yang ◽  
Jiaojiao Tian
Keyword(s):  
Remote Sensing ◽  
Urban Planning ◽  
Disaster Management ◽  
Remote Sensing Data ◽  
Building Extraction ◽  
Special Issue ◽  
Sensing Data ◽  
Geographic Databases

Building extraction from remote sensing data plays an important role in urban planning, disaster management, navigation, updating geographic databases, and several other geospatial applications [...]

scholarly journals Applying Spatial Mapping of Remotely Sensed Data to Valuation of Coastal Ecosystem Services in the Gulf of Mexico

Water ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 1179 ◽  
Author(s):  
Valerie Seidel ◽  
Daniel Dourte ◽  
Craig Diamond
Keyword(s):  
Remote Sensing ◽  
Ecosystem Services ◽  
Case Studies ◽  
Historical Data ◽  
Remote Sensing Data ◽  
Coastal Ecosystem ◽  
Spatial Mapping ◽  
Remotely Sensed Data ◽  
Sensing Data ◽  
State Of The Science

Spatial mapping of remote sensing data tends to be used less when valuing coastal ecosystem services than in other ecosystems. This research project aimed to understand obstacles to the use of remote sensing data in coastal ecosystem valuations, and to educate coastal stakeholders on potential remote sensing data sources and techniques. A workshop program identified important barriers to the adoption of remote sensing data: perceived gaps in spatial and temporal scale, uncertainty about confidence intervals and precision of remote sensing data, and linkages between coastal ecosystem services and values. Case studies that demonstrated the state of the science were used to show methods to overcome the barriers. The case studies demonstrate multiple approaches to valuation that have been used successfully in coastal projects, and validate that spatial mapping of remote sensing data may fill critical gaps, such as cost-effectively generating calibrated historical data.

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