Case Studies on the Application of Remote Sensing Data to Geotechnical Investigations in Ontario, Canada

2009 ◽  
pp. 9-9-37 ◽  
Author(s):  
VH Singhroy
Keyword(s):  
Remote Sensing ◽  
Case Studies ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Geotechnical Investigations

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.

scholarly journals A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment

Agriculture ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 131 ◽  
Author(s):  
Md Shahinoor Rahman ◽  
Liping Di
Keyword(s):  
Remote Sensing ◽  
Case Studies ◽  
Damage Assessment ◽  
Remote Sensing Data ◽  
Crop Damage ◽  
Optical Remote Sensing ◽  
Crop Loss ◽  
Loss Assessment ◽  
Sensing Data ◽  
Crop Loss Assessment

This article reviews case studies which have used remote sensing data for different aspects of flood crop loss assessment. The review systematically finds a total of 62 empirical case studies from the past three decades. The number of case studies has recently been increased because of increased availability of remote sensing data. In the past, flood crop loss assessment was very generalized and time-intensive because of the dependency on the survey-based data collection. Remote sensing data availability makes rapid flood loss assessment possible. This study groups flood crop loss assessment approaches into three broad categories: flood-intensity-based approach, crop-condition-based approach, and a hybrid approach of the two. Flood crop damage assessment is more precise when both flood information and crop condition are incorporated in damage assessment models. This review discusses the strengths and weaknesses of different loss assessment approaches. Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat are the dominant sources of optical remote sensing data for flood crop loss assessment. Remote-sensing-based vegetation indices (VIs) have significantly been utilized for crop damage assessments in recent years. Many case studies also relied on microwave remote sensing data, because of the inability of optical remote sensing to see through clouds. Recent free-of-charge availability of synthetic-aperture radar (SAR) data from Sentinel-1 will advance flood crop damage assessment. Data for the validation of loss assessment models are scarce. Recent advancements of data archiving and distribution through web technologies will be helpful for loss assessment and validation.

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