Development and evaluation of a cloud-gap-filled MODIS daily snow-cover product

Hall, Dorothy K.; Riggs, George A.; Foster, James L.; Kumar, Sujay V.

doi:10.1016/j.rse.2009.10.007

Cited by 228 publications

(182 citation statements)

References 40 publications

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“…The MODIS V005 BRDF/Albedo product suite (MCD43) [Schaaf et al, 2002;Schaaf et al, 2011] was used to quantify the relative contribution of natural versus anthropogenic sources and sinks of nighttime lights (NTL). The MODIS/Aqua V005 daily snow cover product [Hall et al, 2010] was used as a quality indicator of varying snow fraction. This was done to exclude snow-contaminated samples from the final analysis.…”

Section: Appendix A: Remote Sensing Datasetsmentioning

confidence: 99%

Holidays in lights: Tracking cultural patterns in demand for energy services

2015

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Successful climate change mitigation will involve not only technological innovation, but also innovation in how we understand the societal and individual behaviors that shape the demand for energy services. Traditionally, individual energy behaviors have been described as a function of utility optimization and behavioral economics, with price restructuring as the dominant policy lever. Previous research at the macro-level has identified economic activity, power generation and technology, and economic role as significant factors that shape energy use. However, most demand models lack basic contextual information on how dominant social phenomenon, the changing demographics of cities, and the sociocultural setting within which people operate, affect energy decisions and use patterns. Here we use high-quality Suomi-NPP VIIRS nighttime environmental products to: (1) observe aggregate human behavior through variations in energy service demand patterns during the Christmas and New Year's season and the Holy Month of Ramadan and (2) demonstrate that patterns in energy behaviors closely track sociocultural boundaries at the country, city, and district level. These findings indicate that energy decision making and demand is a sociocultural process as well as an economic process, often involving a combination of individual price-based incentives and societal-level factors. While nighttime satellite imagery has been used to map regional energy infrastructure distribution, tracking daily dynamic lighting demand at three major scales of urbanization is novel. This methodology can enrich research on the relative importance of drivers of energy demand and conservation behaviors at fine scales. Our initial results demonstrate the importance of seating energy demand frameworks in a social context.

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Section: Appendix A: Remote Sensing Datasetsmentioning

confidence: 99%

Holidays in lights: Tracking cultural patterns in demand for energy services

2015

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“…Other features of the MODIS snow product suite include daily snow albedo (Klein and Stroeve, 2002) and fractional snow cover (Salomonson and Appel, 2004). In addition, a new cloud-gap filled product provides information on cloud persistence, and uses observations from prior days to map snow (Hall et al, 2010). Validation of the suite of MODIS snow cover products has been undertaken by many authors as described in .…”

Section: The Moderate Resolution Imaging Spectroradiometer (Modis)mentioning

confidence: 99%

A review of global satellite-derived snow products

Frei

Tedesco

Lee

et al. 2012

Advances in Space Research

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Snow cover over the Northern Hemisphere plays a crucial role in the Earth's hydrology and surface energy balance, and modulates feedbacks that control variations of global climate. While many of these variations are associated with exchanges of energy and mass between the land surface and the atmosphere, other expected changes are likely to propagate downstream and affect oceanic processes in coastal zones. For example, a large component of the freshwater flux into the Arctic Ocean comes from snow melt. The timing and magnitude of this flux affects biological and thermodynamic processes in the Arctic Ocean, and potentially across the globe through their impact on North Atlantic Deep Water formation.Several recent global remotely sensed products provide information at unprecedented temporal, spatial, and spectral resolutions. In this article we review the theoretical underpinnings and characteristics of three key products. We also demonstrate the seasonal and spatial patterns of agreement and disagreement amongst them, and discuss current and future directions in their application and development. Though there is general agreement amongst these products, there can be disagreement over certain geographic regions and under conditions of ephemeral, patchy and melting snow.

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“…They include one or a combination of different approaches, such as spatial filtering (Parajka and Blöschl, 2008;Gafurov and Bárdossy, 2009;Xie et al, 2009), temporal filtering, temporal composites of maximum snow cover extent, prior cloud-persistence and combining Terra and Aqua MODIS data (Parajka and Blöschl, 2008;Gafurov and Bárdossy, 2009;Hall et al, 2010 To produce a consistent daily MODIS snow cover map at 0.05 degree resolution, we applied a post-processing technique to fill data gaps in the MOD10C1 product caused by clouds.…”

Section: Methods For Satellite-derived Snow Daysmentioning

confidence: 99%

Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data

Foppa

Seiz

2012

The Cryosphere

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Abstract. Snow cover plays a vital role in the SwissAlps and therefore it is of major interest to determine and understand its variability on different spatiotemporal scales. Within the activities of the National Climate Observing System (GCOS Switzerland) inter-annual variations of snow days over Switzerland were derived from 2000 to 2010 based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. To minimize the impact of cloud cover on the MODIS snow product MOD10C1, we implemented a post-processing technique based on a forward and backward gap-filling approach. Using the proposed methodology it was possible to determine the total number of annual snow days over Switzerland from 2000 to 2010 (SCD MODIS ). The accuracy of the calculated snow days per year were quantitatively evaluated against three in situ snow observation sites representing different climatological regimes (SCD in situ ). Various statistical indices were computed and analysed over the entire period. The overall accuracy between SCD MODIS and SCD in situ on a daily basis over 10 yr is 88 % to 94 %, depending on the regional characteristics of each validation site. Differences between SCD MODIS and SCD in situ vary during the snow accumulation period in autumn and smaller differences after spring, in particularly for the Central Alps.

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Development and evaluation of a cloud-gap-filled MODIS daily snow-cover product

Cited by 228 publications

References 40 publications

Holidays in lights: Tracking cultural patterns in demand for energy services

Holidays in lights: Tracking cultural patterns in demand for energy services

A review of global satellite-derived snow products

Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data

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