1. SOLAR NYC Sean C. Ahearn CARSI Hunter College – CUNY NGAC Meeting, September 23, 2010 CARSI, 2010 -- preliminary LIDAR data

2. Hunter College - CUNY 2 Collaborations These are the four project partners that are working on the SOLAR NYC Project. These partners have signed an MOU outlining specific roles and responsibilities. Our utility and state partners. These groups provide financial and advisory support. We work with these City agencies on various solar initiatives. They provide expertise on how to integrate solar into their processes and programs. Sustainable CUNY on behalf of the City University of New York Mayor’s Office of Long-Term Planning and Sustainability NYC Solar America Cities Advisory Board Eight industry representatives Ten non-profit solar/energy advocacy organizations Six additional government agencies SOLAR NYC: The Players

3. CUNY Players CARSI Team Sean C. Ahearn Yo Jin Ahn Jake Garcia Gordon Green Ylli Kellici Sustainable CUNY Tria Case Alison Klein Noah Ginsburg

4. LiDAR as input to Solar Insolation Model Create surface model for City – Testing of resolution – 1 foot Use LIDAR to examine roof morphology – Useable roof area Use ESRI insolation tool Calibrate with installation data

5. SOLAR NYC WEB Portal

6. LiDAR Coverage for New York City (1119 Tiles, > 15 billion points)

7. LiDAR Points Overlaid with Orthophoto and Signal Intensity View from North-East: Columbus Circle, Central Park South-West Manhattan, New York City

8. LiDAR Point Clouds Displayed by Height Coloration

9. Quality Assurance of LiDAR Minimum density of 8 points per m 2 (QL 1) Accuracy 9-10 cm RMSE Raw LAS format 1.2 including X, Y, Z and Intensity information DSM Bare Earth Classification (ASPRS) – 1 Unclassified – 2 Bare Earth – 7 Noise – 12 Overlap

10. Ground Control for QA (2cm RMSE) Manhattan: 198 points Queens:260 points Brooklyn:450 points Bronx:290 points SI:190

11. Density of 0.74 = 8 pts per m 2 Ground Control for Manhattan

13. RMS LiDAR and 196 Ground Control Points Average Difference = -1.64 cm (error in the Z of the airplane derived from airborne RTK GPS?) RMSE = 6.69 cm

14. LiDAR Data Quality Check Points 1. Artifacts or Outliers by Profile Analysis 2.Check ground survey points placed non-ground

15. Bare Earth onlyBare Earth and Unclassified QA 3 : Check Classification Using just bare earth, an error of 4 feet was found due to misclassification

16. Digital Elevation Model (1ft) Building Extraction Digital Surface Model Application Example 1: Building Extraction

17. Example.2: Separation and Quantification of the Slant Rooftops from a LiDAR Point Clouds