Interactions between urban vegetation and surface urban heat islands: A case study in the Boston metropolitan region

Environmental Research Letters

Volumn 11, Issue 5, 2016, Pages

  Melaas, Eli K ^a   Wang, Jonathan A ^a   Miller, David L ^a   Friedl, Mark A ^a  

^a BOSTON UNIVERSITY   (United States)

Author keywords

Landsat; Phenology; Urban heat island

Indexed keywords

BIOLOGY; ECOLOGY; ECOSYSTEMS; FORESTRY; LAND USE; LANDFORMS; REMOTE SENSING; RURAL AREAS; SURFACE PROPERTIES; THERMAL POLLUTION; URBAN PLANNING; VEGETATION;

ECOPHYSIOLOGICAL PROCESS; GROWING SEASON LENGTHS; LAND SURFACE TEMPERATURE; LANDSAT; METROPOLITAN REGIONS; PHENOLOGY; SURFACE URBAN HEAT ISLANDS; URBAN HEAT ISLAND;

ATMOSPHERIC TEMPERATURE;

ECOPHYSIOLOGY; ECOSYSTEM SERVICE; GEOGRAPHICAL VARIATION; GREENSPACE; GROWING SEASON; HEAT ISLAND; LANDSAT; REMOTE SENSING; SURFACE TEMPERATURE; TIME SERIES ANALYSIS; URBAN AREA; URBAN ATMOSPHERE; URBAN ECOSYSTEM;

BOSTON; MASSACHUSETTS; UNITED STATES;

EID: 85013111359     PISSN: 17489318     EISSN: 17489326     Source Type: Journal    
DOI: 10.1088/1748-9326/11/5/054020     Document Type: Article

References (48)

1. Ahl D E, Gower S T, Burrows S N, Shabanov N V, Myneni R B and Knyazikhin Y 2006 Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS Remote Sens. Environ. 104 88-95
2. Arnfield A J 2003 Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island Int. J. Climatol. 23 1-26
3. Baldridge A M, Hook S J, Grove C I and Rivera G 2009 The ASTER spectral library version 2.0 Remote Sens. Environ. 114 711-5
4. Barsi J A, Schott J R, Palluconi F D and Hook S J 2005 Validation of a web-based atmospheric correction tool forsingle thermal band instruments Proc. SPIE 5882 58820E1-E7
5. Bertin R I, Manner M E, Larrow B F, Cantwell T W and Berstene E M 2005 Norway maple (Acer platanoides) and other non-native trees in urban woodlands of central J. Torrey Bot. Soc. 132 225-35
6. Bounoua L et al 2015 Impact of urbanization on US surface climate Environ. Res. Lett. 10 084010
7. 2 mixing ratios across a Boston, MA Urban to Rural Gradient Land 2 304-27
8. Carlson T N and Ripley D A 1997 On the relation between NDVI, fractional vegetation cover, and leaf area index Remote Sens. Environ. 62 241-52
9. Chmielewski F M and Rotzer T 2001 Response of tree phenology to climate change across Europe Agric. Forest Meteorol. 108 101-12
10. de Beurs K M and Henebry G M 2004 Land surface phenology, climatic variation, and institutional change: analyzing agricultural land cover change in Kazakhstan Remote Sens. Environ. 89 497-509
11. Delbart N, Le Toan T, Kergoat L and Fedotova V 2006 Remote sensing of spring phenology in boreal regions: a free of snoweffect method using NOAA-AVHRR and SPOT-VGT data (1982-2004) Remote Sens. Environ. 101 52-62
12. Denny E G et al 2014 Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications Int. J. Biometeorol. 58 591-601
13. Friedl M A, Gray J M, Melaas E K, Richardson A D, Hufkens K, Keenan T F, Bailey A and O'Keefe J 2014 A tale of two springs: using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change Environ. Res. Lett. 9 054006
14. Gill A L, Gallinat A S, Sanders-DeMott R, Rigden A J, Short Gianotti D J, Mantooth J A and Templer P H 2015 Changes in autumn senescence in northern hemisphere deciduous trees: a meta-analysis of autumn phenology studies Ann. Bot. 116 875-88
15. Jat M K, Garg P K and Khare D 2008 Monitoring and modelling of urban sprawl using remote sensing and GIS techniques Int. J. App. Earth Obs. Geoinf. 10 26-43
16. Jim C Y and Liu H T 2001 Species diversity of three major urban forest types in Guangzhou City, China Forest Ecol. Manage. 146 99-114
17. Jochner S C and Menzel A 2015 Urban phenological studies: past, present, future Environ. Pollut. 203 250-61
18. Jochner S C, Sparks T H, Estrella N and Menzel A 2012 The influence of altitude and urbanisation on trends and mean dates in phenology (1980-2009) Int. J. Biometeorol. 56 387-94
19. Kirshen P, Ruth M and Anderson W 2008 Interdependencies of urban climate change impacts and adaptationstrategies: a case study ofMetropolitan Boston USA Clim. Change 86 105-22
20. Körner C and Basler D 2010 Phenology under global warming Science 327 1461-2
21. Krehbiel C, Jackson T and Henebry G M 2016 Web-Enabled Landsat Data time series for monitoring urban heat island impacts on land surface phenology IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. 9 2043-50
22. Landsberg H E 1981 The Urban Climate (New York: Academic)
23. Levis S and Bonan G B 2004 Simulating springtime temperature patterns in the community atmosphere model coupled to the community land model using prognostic leaf area J. Clim. 17 4531-40
24. Masek J G, Vermote E F, Saleous N E, Wolfe R, Hall F G, Huemmrich K F, Gao F, Kutler J and Lim T K 2006 A Landsat surface reflectance dataset for North America, 1990-2000 IEEE Geosci. Remote Sens. 3 68-72
25. MassGIS Datalayers: Impervious Surface 2007 http://mass.gov/anf/research-and-tech/it-serv-and-support/applicationserv/office-of-geographic-information-massgis/datalayers/impervioussurface.html (accessed 15 December 2012)
26. McCarthy M P, Best M J and Betts R A 2010 Climate change in cities due to global warming and urban effects Geophys. Res. Lett. 37 L09705
27. Melaas E K, Friedl M A and Zhu Z 2013 Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM plus data Remote Sens. Environ. 132 176-85
28. Mimet A, Pellissier V, Quenol H, Aguejdad R, Dubreuil V and Roze F 2009 Urbanisation induces early flowering: evidence from Platanus acerifolia and Prunus cerasus Int. J. Biometeorol. 53 287-98
29. Moulin S, Kergoat L, Viovy N and Dedieu G 1997 Global-scale assessment of vegetation phenology using NOAA/AVHRR satellite measurements J. Clim. 10 1154-70
30. Nowak D J and Crane D E 2002 Carbonstorage and sequestration by urban trees in the USA Environ. Pollut. 116 381-9
31. Oke T R 1976 The distinction between canopy and boundary-layer urban heat islands Atmosphere 14 268-77
32. Parmesan C and Yohe G 2003 A globally coherent fingerprint of climate change impacts across natural systems Nature 421 37-42
33. Peng S, Piao S, Ciais P, Friedlingstein P, Ottle C, Breon F M, Nan H, Zhou L and Myneni R B 2011 Surface urban heat island across 419 global big cities Environ. Sci. Technol. 46 696-703
34. Peters E B, McFadden J P and Montgomery R A 2010 Biological and environmental controls on tree transpiration in a suburban landscape J. Geophys. Res.-Biogeosci. 115 G04006
35. Raciti S M, Hutyra L R and Newell J D 2014 Mapping carbon storage in urban trees with multi-source remote sensing data: relationships between biomass, land use, and demographics in Boston neighborhoods Sci. Total Environ. 500 72-83
36. Richardson A D, Bailey A S, Denny E G, Martin C W and O'Keefe J 2006 Phenology of a northern hardwood forest canopy Glob. Change Biol. 12 1174-88
37. Rötzer T, Wittenzeller M, Haeckel H and Nekovar J 2000 Phenology in central Europe-differences and trends of spring phenophases in urban and rural areas Int. J. Biometeorol. 44 60-6
38. Small C 2001 Estimation of urban vegetation abundance by spectral mixture analysis Int. J. Remote Sens. 22 1305-34
39. Small C and Lu J W 2006 Estimation and vicarious validation of urban vegetation abundance by spectral mixture analysis Remote Sens. Environ. 100 441-56
40. Sobrino J A, Jiménez-Muñoz J C, Sòria G, Romaguera M, Guanter L, Moreno J, Plaza A and Martínez P 2008 Land surface emissivity retrieval from different VNIR and TIR sensors IEEE Trans. Geosci. Remote 46 316-27
41. Sobrino J A, Jiménez-Muñoz J C and Paolini L 2004 Land surface temperature retrieval from LANDSAT TM 5 Remote Sens. Environ. 90 434-40
42. Walker J J, de Beurs K M and Henebry G M 2015 Land surface phenology along urban to rural gradients in the US Great Plains Remote Sens. Environ. 165 42-52
43. White M A, Nemani R R, Thornton P E and Running S W 2002 Satellite evidence of phenological differences between urbanized and rural areas of the eastern United States deciduous broadleaf forest Ecosystems 5 260-73
44. Wilby R L and Perry G L W 2006 Climate change, biodiversity and the urban environment: a critical review based on London, UK Prog. Phys. Geog. 30 73-98
45. Yuan F and Bauer M E 2007 Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery Remote Sens. Environ. 106 375-86
46. Zhang X Y, Friedl M A, Schaaf C B, Strahler A H, Hodges J C F, Gao F, Reed B C and Huete A 2003 Monitoring vegetation phenology using MODIS Remote Sens. Environ. 84 471-5
47. Zhang X Y, Friedl M A, Schaaf C B, Strahler A H and Schneider A 2004 The footprint of urban climates on vegetation phenology Geophys. Res. Lett. 31 L12209
48. Zhu Z and Woodcock C E 2012 Object-based cloud and cloud shadow detection in Landsat imagery Remote Sens. Environ. 118 83-94