iCoast-Did the Coast Change?

Forms and Documents

Document Name	Status
Form Form 1 Instrument screen shots Form and Instruction	New
2014-18148 iCoast 30-day FRN Final.pdf Supplementary Document	2014-08-01
1028-New iCoast SS-A 2014-07-25.docx Supporting Statement A	2014-07-28
1028-NEW iCoast 60-day FRN.pdf Supplementary Document	2014-03-03

IC Document Collections

IC ID	Document Title	Status
212363	Instrument screen shots Form and Instruction	New

ICR Details

OMB Control No: 1028-0109	ICR Reference No: 201401-1028-001
Status: Historical Active	Previous ICR Reference No:
Agency/Subagency: DOI/GS	Agency Tracking No:
Title: iCoast-Did the Coast Change?
Type of Information Collection: Existing collection in use without an OMB Control Number	Common Form ICR:  No
Type of Review Request: Regular
OIRA Conclusion Action: Approved without change	Conclusion Date: 09/02/2014
	Date Received in OIRA: 08/01/2014
Terms of Clearance:

	Inventory as of this Action	Requested	Previously Approved
Expiration Date	09/30/2017	36 Months From Approved
Responses	950	0	0
Time Burden (Hours)	475	0	0
Cost Burden (Dollars)	0	0	0

---

Abstract: As part of its mission to document coastal change, the USGS has been taking aerial photographs of the coast before and after each major storm for the past 18 years to assess damages to the natural landscape and the built environment. A typical mission consists of approximately 10,000 photographs. The digital photo-archive maintained by the USGS is a valuable environmental record containing approximately 100,000 photographs taken before and after 23 extreme storms along the Gulf and Atlantic Coasts. At the same time, the USGS has been developing mathematical models that predict the likely interactions between storm surge and coastal features, such as beaches and dunes, during extreme storms, with the aim of predicting areas that are vulnerable to storm damage. Currently the photographs are not used to inform the mathematical models. The models are based primarily on pre-storm dune height and predicted wave behavior. If scientists could "ground truth" coastal damage by comparing before and after photographs of the coast, the predictive models might be improved. It is not physically or economically possible for USGS scientists to examine all aerial photographs related to each storm, however, and automation of this process is also problematic. Image analysis software is not yet sophisticated enough to automatically identify damages to the natural landscape and the built environment that are depicted in these photographs; human perception and local knowledge are required. 'iCoast-Did the Coast Change?' (hereafter referred to as 'iCoast') is a USGS research project to construct a web-based application that will allow citizen volunteers to compare these before and after photographs of the coast and identify changes that result from extreme storms through a process known as 'crowdsourcing' (http://en.wikipedia.org/wiki/Crowdsourcing). In concept, this application will be similar to those of other citizen science image comparison and classification projects such as the Citizen Science Alliance's Cyclone Center project, (see www.cyclonecenter.org), which asks people to classify types of cyclones by comparing satellite images. There are two distinct purposes to 'iCoast': (1) to allow USGS scientists to 'ground truth' or validate their predictive storm surge models. These mathematical models, which are widely used in the emergency management community for locating areas of potential vulnerability to incoming storms, are currently based solely on pre-storm beach morphology as determined by high-resolution elevation data, and predicted wave behavior derived from parameters of the approaching storm. The on-the-ground post-storm observations provided by citizens using 'iCoast' will allow scientists to determine the accuracy of the models for future applications, and (2) to serve as a repository of images that enables citizens to become more aware of their vulnerability to coastal change and to participate in the advancement of coastal science.

---

Authorizing Statute(s): US Code: 42 USC 5201 Name of Law: The Public Health and Welfare
   PL: Pub.L. 100 - 707 202(a) Name of Law: Dissaster Relief Act of 1974
  

Citations for New Statutory Requirements: None

---

Associated Rulemaking Information
RIN:	Stage of Rulemaking:	Federal Register Citation:	Date:
	Not associated with rulemaking

---

Federal Register Notices & Comments
60-day Notice:	Federal Register Citation:	Citation Date:
	79 FR 11461	02/28/2014
30-day Notice:	Federal Register Citation:	Citation Date:
	79 FR 44858	08/01/2014
Did the Agency receive public comments on this ICR? No

---

Number of Information Collection (IC) in this ICR: 1

IC Title	Form No.	Form Name
Instrument screen shots	Form 1	iCoast web cataloging form

---

ICR Summary of Burden

	Total Approved	Previously Approved	Change Due to New Statute	Change Due to Agency Discretion	Change Due to Adjustment in Estimate	Change Due to Potential Violation of the PRA
Annual Number of Responses	950	0	0	950	0	0
Annual Time Burden (Hours)	475	0	0	475	0	0
Annual Cost Burden (Dollars)	0	0	0	0	0	0

Burden increases because of Program Change due to Agency Discretion: Yes

Burden Increase Due to: Miscellaneous Actions

Burden decreases because of Program Change due to Agency Discretion: No

Burden Reduction Due to:

Short Statement: The U.S. Geological Survey conducts sustained investigations of coastal hazards associated with major hurricanes that make landfall in the U.S. These investigations have resulted in computer models of inundation that allow agencies and communities to understand, prepare for, and respond to extreme storms. The USGS has collected before-and-after photographs of major storms on the Gulf and Atlantic Coasts taken 1994 to the present. These photographs could enhance the computer models of storm inundation, however, computers cannot yet automatically analyze these photographs, human intelligence is needed. USGS does not have the personnel or capacity to undertake these analyses. Citizen scientists will identify coastal landforms, determine the storm impacts to landforms and the built infrastructure. USGS scientists will use the crowd sourced data from iCoast to ground truth and fine-tune their models of coastal erosion.

---

Annual Cost to Federal Government: $27,745

Does this IC contain surveys, censuses, or employ statistical methods? No

Is the Supporting Statement intended to be a Privacy Impact Assessment required by the E-Government Act of 2002? No

Is this ICR related to the Affordable Care Act [Pub. L. 111-148 & 111-152]? No

Is this ICR related to the Dodd-Frank Wall Street Reform and Consumer Protection Act, [Pub. L. 111-203]? No

Is this ICR related to the American Recovery and Reinvestment Act of 2009 (ARRA)? No

Is this ICR related to the Pandemic Response? Uncollected

---

Common Form ICR:  No

---

On behalf of this Federal agency, I certify that the collection of information encompassed by this request complies with 5 CFR 1320.9 and the related provisions of 5 CFR 1320.8(b)(3).

The following is a summary of the topics, regarding the proposed collection of information, that the certification covers:

(a) It is necessary for the proper performance of agency functions;

(b) It avoids unnecessary duplication;

(c) It reduces burden on small entities;

(d) It uses plain, coherent, and unambiguous language that is understandable to respondents;

(e) Its implementation will be consistent and compatible with current reporting and recordkeeping practices;

(f) It indicates the retention periods for recordkeeping requirements;

(g) It informs respondents of the information called for under 5 CFR 1320.8 (b)(3) about:

(i) Why the information is being collected;

(ii) Use of information;

(iii) Burden estimate;

(iv) Nature of response (voluntary, required for a benefit, or mandatory);

(v) Nature and extent of confidentiality; and

(vi) Need to display currently valid OMB control number;

(h) It was developed by an office that has planned and allocated resources for the efficient and effective management and use of the information to be collected.

(i) It uses effective and efficient statistical survey methodology (if applicable); and

(j) It makes appropriate use of information technology.

If you are unable to certify compliance with any of these provisions, identify the item by leaving the box unchecked and explain the reason in the Supporting Statement.

Certification Date: 08/01/2014

---