FWS-R9-NWI-SMUMN
Sector: Education • Location: United States of America
Source: Grants.gov
Under the terms of this cooperative agreement task, Saint Mary�s University of Minnesota (SMUMN) will work cooperatively with the Fish and Wildlife Service�s (FWS) National Wetlands Inventory, National Standards and Support Team (NSST), to develop and implement techniques for the digital capture of raster image scans, annotated aerial photography and for the image analysis and updating of wetl
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Under the terms of this cooperative agreement task, Saint Mary�s University of Minnesota (SMUMN) will work cooperatively with the Fish and Wildlife Service�s (FWS) National Wetlands Inventory, National Standards and Support Team (NSST), to develop and implement techniques for the digital capture of raster image scans, annotated aerial photography and for the image analysis and updating of wetlands map data in a selected coastal watershed. SMUMN is uniquely qualified for this cooperative venture. The FWS has previously worked with SMUMN to develop prototype methods for the accurate conversion of hardcopy wetland photo delineations to GIS databases. Similar techniques will be used in this project, however, research and workflow process development will incorporate recent advances in GIS technology specifically related to raster to vector data, hard copy annotations to digits, and image analysis in collaboration with FWS. SMUMN and FWS will also continue this working cooperation to develop data verification and quality control procedures to ensure data developed through this agreement meet FWS quality standards. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
