Land surface phenology along urban to rural gradients in the U.S. Great Plains

Walker, Jessica J.; Beurs, Kirsten M. de; Henebry, Geoffrey M.

doi:10.1016/j.rse.2015.04.019

Cited by 62 publications

(31 citation statements)

References 64 publications

(82 reference statements)

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“…Studies documenting phenological differences between urban and rural areas and along the urban-rural gradient are numerous [8][9][10][11]. We found only a few studies examining intra-urban phenological variations with methods that include use of historical records, analysis of remotely sensed imagery, and comparison of satellite imagery to in-situ temperature observations.…”

Section: Literature Reviewmentioning

confidence: 99%

“…More specifically, areas with larger areas of impervious surfaces and lower vegetative cover tend to have warmer daytime temperatures. Urban heat island studies also analyze remotely sensed images for phenological comparisons between urban and rural areas and along the urban-rural gradient (e.g., [8][9][10][11]). These studies have documented an earlier start of season within urban areas as compared to surroundings rural areas.…”

Section: Introductionmentioning

confidence: 99%

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Intra-Urban Microclimate Effects on Phenology

Parece

Campbell

2018

Urban Science

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Abstract:The urban heat island effect is commonly defined as the thermal differences between cooler rural and warmer urban areas, but it also refers to microclimatic differences within an urban area that arises from varied combinations of land cover related to different land uses. Microclimatic variations should also produce intra-urban differences in vegetation phenophases, although few studies have investigated urban phenology. Most phenological studies are usually regional to continental in scale, predominantly tracking changes in start of season related to climate change. This study reports results of an exploratory analysis using TIMESAT (Lund University, Lund, Sweden) software and MODIS NDVI 250-m resolution data (Goddard Space Flight Center, Greenbelt, MD, USA) to identify intra-urban differences in start of season for the City of Roanoke, Virginia. We compare these results to our in-situ temperature collection campaign. Additionally, we completed an in-situ start of season data collection by observing select tree species. Our results demonstrate that MODIS, processed by TIMESAT software, identified intra-urban start of season variations, and these variations are consistent with differing intra-urban microclimates and our in-situ start of season observations. Furthermore, results from such analyses can aid plans for increasing the urban tree canopy or in cultivating locations for urban agriculture-i.e., warmer areas with a longer growing season could accommodate warmer weather trees and crops.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intra-Urban Microclimate Effects on Phenology

Parece

Campbell

2018

Urban Science

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“…deforestation or encroachment of invasive species). Therefore, Remote Sensing-based monitoring of vegetation cover dynamics at a variety of scales provides crucial information required to assist in SLM decisions (Walker, de Beurs, & Henebry, 2015).…”

Section: Vegetation Cover Dynamicsmentioning

confidence: 99%

The role of Remote Sensing in land degradation assessments: opportunities and challenges

Dubovyk

2017

European Journal of Remote Sensing

114

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Land degradation (LD) is one of the biggest global challenges for the people's livelihoods and environment. Remote Sensing plays an unprecedented role in LD mapping, assessment and monitoring at multiple spatial and temporal scales. Regardless of a big potential of Remote Sensing to support LD studies, there are still quite a few challenges that impede its successful application. This paper provides a logical synthesis of the role of Remote Sensing for LD assessments. First, background information on definition of LD and existing assessment frameworks are provided. This follows with the synthesis of the areas of application of Remote Sensing for LD analysis and a brief review of the major Remote Sensing variables used in LD studies. The paper further argues for multi-scale and cross-scale LD assessments calling for application-oriented solutions and highlighting the need of in situ data for validation of Remote Sensing-based LD maps. This claim is illustrated by an example of a case study in Uzbekistan.ARTICLE HISTORY

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“…The relationship between urban intensity and the course of annual developmental events in plants, known as plant phenology, has been documented [8]. From a biological perspective, phenological research predominantly addresses the timing of switches between recurrent phases of organisms [9].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Effects of the Urban Built-Up Environment on Plant Phenology Using Fused Satellite Data

2017

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Abstract:Understanding the effects that the Urban Heat Island (UHI) has on plant phenology is important in predicting ecological impacts of expanding cities and the impacts of the projected global warming. However, the underlying methods to monitor phenological events often limit this understanding. Generally, one can either have a small sample of in situ measurements or use satellite data to observe large areas of land surface phenology (LSP). In the latter, a tradeoff exists among platforms with some allowing better temporal resolution to pick up discrete events and others possessing the spatial resolution appropriate for observing heterogeneous landscapes, such as urban areas. To overcome these limitations, we applied the Spatial and Temporal Adaptive Reflectance Model (STARFM) to fuse Landsat surface reflectance and MODIS nadir BRDF-adjusted reflectance (NBAR) data with three separate selection conditions for input data across two versions of the software. From the fused images, we derived a time-series of high temporal and high spatial resolution synthetic Normalized Difference Vegetation Index (NDVI) imagery to identify the dates of the start of the growing season (SOS), end of the season (EOS), and the length of the season (LOS). The results were compared between the urban and exurban developed areas within the vicinity of Ogden, UT and across all three data scenarios. The results generally show an earlier urban SOS, later urban EOS, and longer urban LOS, with variation across the results suggesting that phenological parameters are sensitive to input changes. Although there was strong evidence that STARFM has the potential to produce images capable of capturing the UHI effect on phenology, we recommend that future work refine the proposed methods and compare the results against ground events.

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Land surface phenology along urban to rural gradients in the U.S. Great Plains

Cited by 62 publications

References 64 publications

Intra-Urban Microclimate Effects on Phenology

Intra-Urban Microclimate Effects on Phenology

The role of Remote Sensing in land degradation assessments: opportunities and challenges

Modeling the Effects of the Urban Built-Up Environment on Plant Phenology Using Fused Satellite Data

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