SOLICITATION NOTICE
R -- THE EVALUATION, VALIDATION, AND BENCHMARKING OF EARTH OBSERVING SYSTEMS DATA ASSIMILATION IN THE LAND BASED CLASSIFICATION STANDARDS DECISION SUPPORT SYSTEM
- Notice Date
- 2/24/2004
- Notice Type
- Solicitation Notice
- NAICS
- 541690
— Other Scientific and Technical Consulting Services
- Contracting Office
- NASA Procurement Office, Code DA00, Stennis Space Center (SSC), MS 39529-6000
- ZIP Code
- 39529-6000
- Solicitation Number
- 4200045927
- Response Due
- 3/10/2004
- Archive Date
- 2/24/2005
- Point of Contact
- Gregory Fletcher, Contract Specialist, Phone (228) 688-2223, Fax (2281) 688-1141, Email gregory.fletcher@ssc.nasa.gov - Jason Edge, Contract Specialist, Phone (228) 688-2346, Fax (228) 688-1141, Email Jason.Edge@ssc.nasa.gov
- E-Mail Address
-
Email your questions to Gregory Fletcher
(gregory.fletcher@ssc.nasa.gov)
- Description
- The National Aeronautics and Space Administration?s (NASA) Earth Science Enterprise (ESE), National Application Strategy at the John C. Stennis Space Center, serves to enhance decision support systems (DSSs) of national interest and utility with NASA Earth science measurements. The American Planning Association?s (APA) Land-Based Classification Standards (LBCS) provide a consistent model for classifying land uses based on and improved upon standards established for the 1965 Standard Land Use Coding Manual, which was widely adopted for land-use classifications by local, regional, state, and federal agencies. APA will evaluate, validate, and benchmark the data assimilation capacity of NASA Earth Observing Systems (EOS) data in the LBCS-DSS. NASA/SSC intends to purchase the services from the American Planning Association of Chicago, Illinois. A Recommendation and Determination to Solicit Only One Source is included in the file. The Statement of Work is as follows: 1.0 Background The National Aeronautics and Space Administration?s (NASA) Earth Science Enterprise (ESE) National Application Strategy serves to enhance decision support systems (DSSs) of national interest and utility with NASA Earth science measurements. These measurements, comprising data from as many as 18 Earth-viewing satellites, may enhance the capacity for DSSs in community growth. This data infusion is accomplished using a systems engineering approach comprising three phases: evaluation, verification and validation (V&V), and benchmarking. The American Planning Association?s (APA) Land-Based Classification Standards (LBCS) provide a consistent model for classifying land uses based on their characteristics. The standards are based on a multi-dimensional land-use classification model. It replaces the 1965 Standard Land Use Coding Manual, a standard which was widely adopted for land-use classifications by local, regional, state, and federal agencies. The model extends the notion of classifying land uses by refining traditional land-use categories into multiple dimensions, such as activities, functions, building types, site development character, and ownership constraints. Each dimension has its own set of categories and subcategories. These multiple dimensions allow users to have precise control over land-use classifications and provide local communities (and other levels of government) employing land-use data a refined approach to measuring land uses. LBCS currently recommends incorporating remotely sensed data in the ?Site Development Character? dimension, but this only applies to certain aspects of visual characteristics and does not fully exploit the potential of remotely sensed data. Land use is a complex concept that requires many types of ?visual? and ?non-visual? cues. Planners currently rely on local real property tax information as a proxy for land use, but that is incomplete at best and misleading at worst. Augmenting such local data with ?ground truth? is an expensive process. This is where remotely-sensed data can improve community growth DSSs. With inexpensive GIS and computing platforms now ubiquitous in local governments, this is an opportune time to integrate geospatial tools and techniques into planning applications. Remotely-sensed data can also extend traditional planning analyses to encompass certain environmental issues that would otherwise be difficult to analyze. 2.0 Purpose In general, the evaluation and benchmarking phases of the systems engineering approach involve understanding the requirements for, and technical feasibility of, Earth science and remote sensing tools and methods for addressing DSS needs, as well as a quantification of the achieved improvements. Technical requirements for inputs and outputs of the DSS are identified as well. Evaluation results will be used to populate or update the information contained within the Missions to Models DSS Inventory (Appendix A). The DSS missions are researched thoroughly to determine their operational requirements, funding profiles, relationships to the National Applications, and relevance of NASA capabilities 3.0 Scope Tasks outlined by this SOW include all labor, material, equipment, and travel necessary to provide the tasks and deliverables identified below. NASA anticipates awarding a firm, fixed-price contract. 4.0 Tasks The following tasks will be undertaken by APA in collaboration with NASA. Task 1 Evaluate LBCS? data assimilation capacity for NASA Earth Observing System data (EOS) Identify an integrated methodology to classifying land use/land cover using remotely-sensed data, NASA shall provide information about the various Earth Observing Systems sources such as: MODIS, ASTER, Hyperion, ALI , SRTM, TRMM, GRACE, and other NASA science results. Evaluate the effectiveness of this approach as applied to several land use/landcover category types in conjunction with other LBCS dimensions (mainly the visual ones: site development character and structure types). Develop a set of categories that users employing this kind of remotely sensed data can easily apply to classification of land uses. Task 2 Validation of EOS data in LBCS After selection of the application and the geographic area, APA will work with one or two local planners in a selected geographic area to validate the classification scheme and the remote-sensing data stream. APA will present three sample applications selected from the list below .These key application areas involve the environment, hazards and infrastructure management. Surface analysis for flood and storm-water management Earth fissure analysis for establishing stable development areas. Landscape mapping for arid regions of the country for water conservation. Landscape analysis for air quality, heat island effects, forest and urban interface. Landslide analysis for hazard mitigation and emergency management Mapping extractive resources (aggregates mainly) essential for development. Mapping impervious surfaces with land use to better manage local effects of flooding Task 3 Benchmarking the effectiveness of a data assimilation capacity The final component to the systems engineering approach involves benchmarking the enhancements to the EOS data on the partner-owned DSS. Benchmarking of a DSS is a process of measuring the performance of the DSS according to specified standards and reference points to document its value and to identify areas for improvements. The measurements can include such tangibles as the time to produce results, the accuracy, quality, and reproducibility of DSS results, and the enhanced DSS?s ability to fill a previously unmet need of the DSS owner. Since LBCS itself is a set of standards for local planning data, the benchmarking component will primarily focus on establishing the standard of reference. It will summarize the implementation of new LBCS categories to an existing LBCS dataset. 5.0 Deliverables Deliverables for all Tasks shall be reports in MS/Word submitted on CDROM in digital form. No travel is required for this work. 6.0 Performance Standard Task 1 An evaluation report describing the process and rationale for the selection of EOS data sources and the updated set of categories for remotely sensed data on the LBCS. This report shall also describe how remotely sensed data can be integrated into land-based data for planning applications (similar to the FAQ page currently on LBCS website). The contents of this report will also be posted to the APA website at http://www.planning.org/LBCS . Task 2 A validation report describing the processes and quantifiable results of the EOS data assimilation in the planning applications areas. The report shall also include relevant information on the planning end-user and their requirements for implementation. For example, if a state agency were to help in testing the categories, they would host the completed application on the state agency?s website so as to integrate with other data layers. Task 3 A benchmarking report that quantifies the impact of NASA EOS input(s) on the DSS output(s), comparing the DSS performance before and after the EOS data assimilation. If a standard reference point does not exist, then benchmarking refers to measuring the performance to establish a standard of reference. Assessing the performance of an original DSS without enhancements being implemented first creates the baseline benchmark, and then performance of the enhanced DSS is assessed and compared with the baseline. 7.0 Proposal Format The proposal shall provide a milestone payment schedule that is sufficient to recover all costs (i.e., labor, materials, travel, other direct costs, overhead, G&A, and incidentals) necessary to complete each task in the Statement of Work. This activity shall commence after successful contract negotiations and issuance of a firm-fixed price contract. Notice to proceed shall be issued by the NASA SSC Procurement Office. 8.0 Schedule The performance period of this SOW is from the date of this order and continue through six (6) months. Deliverables shall be provided to the Contracting Officer in accordance with the following schedule. The Contractor shall provide a delivery schedule for the tasks and deliverables identified above. The Government intends to acquire commercial services using FAR Part 12. Interested organizations may submit their capabilities and qualifications to perform the effort in writing to the identified point of contact not later than 3:00 p.m. local time on March 10, 2004. Such capabilities/qualifications will be evaluated solely for the purpose of determining whether or not to conduct this procurement on a competitive basis. A determination by the Government not to compete this proposed effort on a full and open competition basis, based upon responses to this notice, is solely within the discretion of the government. Oral communications are not acceptable in response to this notice. All responsible sources may submit an offer which shall be considered by the agency. An Ombudsman has been appointed. See NASA Specific Note "B". Any referenced notes may be viewed at the following URLs linked below.
- Web Link
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