The New Hampshire Land Cover is a high-resolution (1 meter) data product that provides baseline land cover information for the state of New Hampshire in multiple formats to support different land management applications. It is derived from 1 meter, 4 band color infrared imagery flown between July 3, 2016 and September 13, 2016 as part of the National Agriculture Imagery Program (NAIP). In addition LIDAR data flown between 2011 and 2015 was used to aid the classification process. Over 4 terabytes of LIDAR and aerial imagery were processed for the state through EarthDefine's high performance Geographic Object-Based Image Analysis (GEOBIA) processing platform to create the land cover layer.
Class Name | Value | Classification Description |
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Herbaceous | 1 | all surfaces with non-woody vegetation - lawns, cropland, grasses, etc. |
Bare | 2 | non-vegetated non-impervious cover - snow, sand, barren farmland, rock, etc. |
Impervious | 3 | impermeable built-up surfaces - roads and transportation infrastructure, sidewalks, buildings, parking lots, etc. |
Water | 4 | open water - lakes, rivers, streams, sea, ponds, etc. |
Trees | 5 | trees |
Shrubs | 6 | low woody vegetation - early stage or stunted trees |
The New Hampshire Land Cover dataset supports numerous applications for urban planning, forest inventory, stormwater management, environmental impact assessment and conservation.
EarthDefine used a Geographic Object-Based Image Analysis (GEOBIA) processing workflow to create the New Hampshire Land Cover dataset. Multiple ancillary datasets including transportation framework vectors, TIGER demographic data, hydrological, cadastral and terrain data were used along with color infrared aerial imagery to develop an object based classification workflow. LIDAR data was used to develop the tree class and derive buildings that were added to the impervious class. Over 61.7 million image-objects were created from over 9,285 square miles of 1 meter resolution source imagery and classified through the GEOBIA platform to create a 6-class classification with an overall accuracy of 98.4%.
Technical Specifications | |
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Resolution | 1 meter |
Minimum Mapping Unit | 0.005 acre1 |
Accuracy | 98.4% |
Classes | 6 |
Area | 9,285 sq. miles |