Storm damage assessment support service in the U.S. corn belt using RapidEye satellite imagery

2009 ◽  
Author(s):  
Maria A. Capellades ◽  
Sandra Reigber ◽  
Marika Kunze
Keyword(s):  
Satellite Imagery ◽  
Damage Assessment ◽  
Support Service ◽  
Corn Belt ◽  
Storm Damage ◽  
The U.S

scholarly journals A fuzzy decision making system for building damage map creation using high resolution satellite imagery

2013 ◽  
Vol 13 (2) ◽  
pp. 455-472 ◽  
Author(s):  
H. Rastiveis ◽  
F. Samadzadegan ◽  
P. Reinartz
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Damage Assessment ◽  
Fuzzy Inference ◽  
Earthquake Damage ◽  
Fuzzy Decision Making ◽  
Inference System ◽  
High Resolution Satellite Imagery ◽  
Roof Part ◽  
Earthquake Damage Assessment

Abstract. Recent studies have shown high resolution satellite imagery to be a powerful data source for post-earthquake damage assessment of buildings. Manual interpretation of these images, while being a reliable method for finding damaged buildings, is a subjective and time-consuming endeavor, rendering it unviable at times of emergency. The present research, proposes a new state-of-the-art method for automatic damage assessment of buildings using high resolution satellite imagery. In this method, at the first step a set of pre-processing algorithms are performed on the images. Then, extracting a candidate building from both pre- and post-event images, the intact roof part after an earthquake is found. Afterwards, by considering the shape and other structural properties of this roof part with its pre-event condition in a fuzzy inference system, the rate of damage for each candidate building is estimated. The results obtained from evaluation of this algorithm using QuickBird images of the December 2003 Bam, Iran, earthquake prove the ability of this method for post-earthquake damage assessment of buildings.

scholarly journals Resistance to Bt Corn by Western Corn Rootworm (Coleoptera: Chrysomelidae) in the U.S. Corn Belt

2013 ◽  
Vol 4 (3) ◽  
pp. 1-6 ◽  
Author(s):  
Eileen M. Cullen ◽  
Michael E. Gray ◽  
Aaron J. Gassmann ◽  
Bruce E. Hibbard
Keyword(s):  
Western Corn Rootworm ◽  
Corn Belt ◽  
Bt Corn ◽  
Corn Rootworm ◽  
The U.S

A Pharmacogenomics Clinical Decision Support Service Based on FHIR and CDS Hooks

2018 ◽  
Vol 57 (S 02) ◽  
pp. e115-e123 ◽  
Author(s):  
R.H. Dolin ◽  
A. Boxwala ◽  
J. Shalaby
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Genetic Data ◽  
Gene Interaction ◽  
Clinical Decision ◽  
Support Service ◽  
Sequencing Data ◽  
National Human ◽  
Functional Prototype ◽  
The U.S

Objectives Pharmacogenomics (PGx) is often considered a low-hanging fruit for genomics–electronic health record (EHR) integrations, and many have expressed the notion that drug–gene interaction checking might one day become as much a commodity in EHRs as drug–drug and drug–allergy checking. In addition, the U.S. Office of the National Coordinator has recognized the trend toward storing complete sequencing data outside the EHR in a Genomic Archiving and Communication System (GACS) and has emphasized the need for “pilots that test Fast Healthcare Interoperability Resources (FHIR) Genomics for GACS integration with EHRs.” We sought to develop a PGx clinical decision support (CDS) service, leveraging the emerging FHIR and CDS Hooks standards, and based on an assumption that pharmacogene sequencing data would be stored alongside the EHR in a GACS. Methods We developed a PGx CDS service as a functional prototype. The service is triggered by a medication order in the EHR. When evoked, the service looks for relevant genetic data in a GACS and returns corresponding recommendations back to the ordering clinician. Where the patient has no genetic data on file, the service can recommend pretreatment genetic testing where applicable. Results Overall, we were able to meet our objectives and deploy a functional prototype, interfaced with a commercial EHR. We identified several areas where FHIR or CDS Hooks lacked necessary semantics or have implementation ambiguity. Primary FHIR challenges included multiple ways to say the same thing, which exacerbated the complexity of variant to allele conversion and lack of representation of deoxyribonucleic acid region(s) studied. Primary CDS Hooks challenges included the complexity of executing an authenticated query against one system (GACS) upon being triggered by a different system (the EHR), and limitations in the types of actionable recommendations that can be returned to the EHR. Conclusions In conclusion, we have found that PGx CDS based on FHIR and CDS Hooks appears to represent a promising means of genomics–EHR integration. More real-world testing along with a set of use-case driven GACS interface requirements will push us closer to the U.S. National Human Genome Research Institute vision of a plug-in PGx app.

scholarly journals Nitrogen application decision-making under climate risk in the U.S. Corn Belt

2017 ◽  
Vol 15 ◽  
pp. 82-89 ◽  
Author(s):  
Benjamin M. Gramig ◽  
Raymond Massey ◽  
Seong Do Yun
Keyword(s):  
Decision Making ◽  
Climate Risk ◽  
Corn Belt ◽  
Nitrogen Application ◽  
Application Decision ◽  
The U.S

scholarly journals The Purdue Agro-climatic (PAC) dataset for the U.S. Corn Belt: Development and initial results

2017 ◽  
Vol 15 ◽  
pp. 61-72 ◽  
Author(s):  
Xing Liu ◽  
Elin Jacobs ◽  
Anil Kumar ◽  
Larry Biehl ◽  
Jeff Andresen ◽  
...  
Keyword(s):  
Corn Belt ◽  
Initial Results ◽  
The U.S
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