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Assessing Tree Health Conditions in New York City’s Central Park with Earth Observation DataThe Central Park Conservancy stewards New York City’s iconic Central Park with a mission to preserve the park for all. This mission is complicated by the spread of Dutch elm disease (DED) which has threatened the culturally and ecologically significant American elm tree (Ulmus americana). Central Park is home to one of the largest and last remaining urban concentrations of American elm and the Conservancy currently protects them through integrated pest management. This project is an interdisciplinary feasibility study that assessed the application of NASA Earth observations from 2014 to 2023 to detect changes in forest phenology possibly related to DED. Landsat 8 and 9 imagery was used to calculate a multiyear time series of the Normalized Difference Vegetation Index (NDVI) and quantify changes in land surface phenology. A pixel-based logistic regression analysis was performed using changes in NDVI, tree site locations, and recorded occurrences of trees infected with DED as inputs. The results of this analysis show that changes in NDVI derived from Landsat data are capable of detecting unhealthy tree canopies with 71% precision and healthy tree canopies with 41% precision. The study had uncertainties and limitations due to the spatial and temporal resolutions of Landsat, the natural variability in land surface phenology and NDVI, and the attempt to detect disease impacts while disease prevention and mitigation are occurring. As is, the findings of this study and its methods provide managers with an approach for integrating Earth observations to make more informed decisions in the application and timing of urban forest management activities.
Document ID
20240014521
Acquisition Source
Langley Research Center
Document Type
Poster
Authors
John Hocknell
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Ikram Morso
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Jack Graziano
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Kayla Paramore
(Analytical Mechanics Associates (United States) Hampton, Virginia, United States)
Date Acquired
November 15, 2024
Subject Category
Earth Resources and Remote Sensing
Meeting Information
Meeting: AG24 Annual Meeting
Location: Washington, DC
Country: US
Start Date: December 9, 2024
End Date: December 13, 2024
Sponsors: American Geophysical Union
Funding Number(s)
WBS: 970315.02.02.01.08
CONTRACT_GRANT: 80LARC23FA024
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
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