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Service Description: Maine Statewide Orthoimagery Project - During the spring of 2022 the Woolpert team acquired new 4-band (R, G, B, and NIR). The imagery was acquired covering the entire project area using ADS 100 digital camera systems. All imagery was collected during the 2022 spring flying season during leaf-off conditions for deciduous vegetation in the State of Maine. The sun angle shall be 25-degrees or greater, and streams should be within their normal banks, unless otherwise negotiated. During flight planning and acquisition, a significant effort is made to limit clouds, snow (please note: small amounts of snow such as piles in parking lots, extreme shaded areas, within dense evergreens or unpopulated northern facing slopes may be acceptable), fog, haze, smoke, or other ground obscuring conditions in the imagery. In no case will the maximum cloud cover exceed 5% per image. Within the immediate areas of power plants, factories, or controlled agricultural burns some steam or smoke and/or shadows may be visible on imagery. Woolpert produced new 8-bit, 4-band stacked color digital orthoimagery files in GeoTIFF format with TFW “world file” at a 45cm (18-inch) resolution. The Maine GeoLibrary Board (MEGIS) has developed a statewide, 5-year, rotating orthoimagery acquisition program for Maine to facilitate state, regional and local government GIS base mapping in an efficient and cost-effective program. The State of Maine will use digital orthoimagery for the development of various base map products in a computerized GIS that will support the needs of the state and multiple stakeholders through applications, such as, multi-jurisdictional homeland security mapping applications, state and county emergency management applications, regional and local planning, state and local public safety applications, economic development and other GIS business objectives.
Name: imageryBaseMapsEarthCover/orthoRegional2022
Description: Maine Statewide Orthoimagery Project - During the spring of 2022 the Woolpert team acquired new 4-band (R, G, B, and NIR). The imagery was acquired covering the entire project area using ADS 100 digital camera systems. All imagery was collected during the 2022 spring flying season during leaf-off conditions for deciduous vegetation in the State of Maine. The sun angle shall be 25-degrees or greater, and streams should be within their normal banks, unless otherwise negotiated. During flight planning and acquisition, a significant effort is made to limit clouds, snow (please note: small amounts of snow such as piles in parking lots, extreme shaded areas, within dense evergreens or unpopulated northern facing slopes may be acceptable), fog, haze, smoke, or other ground obscuring conditions in the imagery. In no case will the maximum cloud cover exceed 5% per image. Within the immediate areas of power plants, factories, or controlled agricultural burns some steam or smoke and/or shadows may be visible on imagery. Woolpert produced new 8-bit, 4-band stacked color digital orthoimagery files in GeoTIFF format with TFW “world file” at a 45cm (18-inch) resolution. The Maine GeoLibrary Board (MEGIS) has developed a statewide, 5-year, rotating orthoimagery acquisition program for Maine to facilitate state, regional and local government GIS base mapping in an efficient and cost-effective program. The State of Maine will use digital orthoimagery for the development of various base map products in a computerized GIS that will support the needs of the state and multiple stakeholders through applications, such as, multi-jurisdictional homeland security mapping applications, state and county emergency management applications, regional and local planning, state and local public safety applications, economic development and other GIS business objectives.
Single Fused Map Cache: false
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Spatial Reference: 26919
(26919)
Initial Extent:
XMin: 355500
YMin: 4891500
XMax: 598500
YMax: 5258250
Spatial Reference: 26919
(26919)
Full Extent:
XMin: 355500
YMin: 4891500
XMax: 598500
YMax: 5258250
Spatial Reference: 26919
(26919)
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Copyright Text: Maine GeoLibrary
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Get Samples
Compute Class Statistics
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Compute Angles
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Project