First operational BRDF, albedo nadir reflectance products from MODIS

Schaaf, Crystal B.; Gao, Feng; Strahler, Alan H.; Lucht, Wolfgang; Li, Xiaowen; Tsang, Trevor; Strugnell, Nicholas C.; Zhang, Xiaoyang; Jin, Yufang; Müller, Jan-Peter; Lewis, P.; Barnsley, Michael J.; Hobson, P.; Disney, Mathias; Roberts, G.; Dunderdale, M; Doll, Christopher; d’Entremont, Robert P.; Hu, Baoxin; Liang, Shunlin; Privette, Jeffrey L.; Roy, David P.

doi:10.1016/s0034-4257(02)00091-3

Cited by 2,151 publications

(1,678 citation statements)

References 34 publications

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“…no. ), canopy cover, canopy JRC-TIP from the MODIS broadband visible and near-infrared surface albedo height, and nutrient availability, temperature, WAI) to the cvGPP sat ; precipitation products 40 . The processing for the gap filling and the extraction of the time series from MODIS-TIP LAI products is described in ref.…”

Section: Discussionmentioning

confidence: 99%

Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity

et al. 2017

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The total uptake of carbon dioxide by ecosystems via photosynthesis (gross primary productivity, GPP) is the largest flux in the global carbon cycle. A key ecosystem functional property determining GPP is the photosynthetic capacity at light saturation (GPPsat), and its interannual variability (IAV) is propagated to the net land–atmosphere exchange of CO2. Given the importance of understanding the IAV in CO2 fluxes for improving the predictability of the global carbon cycle, we have tested a range of alternative hypotheses to identify potential drivers of the magnitude of IAV in GPPsat in forest ecosystems. Our results show that while the IAV in GPPsat within sites is closely related to air temperature and soil water availability fluctuations, the magnitude of IAV in GPPsat is related to stand age and biodiversity (R2 = 0.55, P < 0.0001). We find that the IAV of GPPsat is greatly reduced in older and more diverse forests, and is higher in younger forests with few dominant species. Older and more diverse forests seem to dampen the effect of climate variability on the carbon cycle irrespective of forest type. Preserving old forests and their diversity would therefore be beneficial in reducing the effect of climate variability on Earth's forest ecosystems

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Section: Discussionmentioning

confidence: 99%

Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity

et al. 2017

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“…All MODIS data sets, quality assessment reports, and processing tools used in this study are publicly available (http://modis-land.gsfc.nasa.gov/). 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.…”

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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“…In order to estimate the global distribution of the precision of MERLIN's methane column concentration measurements, satellite observations by CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) [Winker et al, 2009] and MODIS (Moderate Resolution Imaging Spectrometer) [Schaaf et al, 2002] covering the whole year 2007 are used to constrain the simulation as closely as possible to real-world conditions, in an approach similar to the works of Kawa et al [2010]. Figure 1 illustrates this approach.…”

Section: Model Setupmentioning

confidence: 99%

Performance simulations for a spaceborne methane lidar mission

et al. 2014

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Future spaceborne lidar measurements of key anthropogenic greenhouse gases are expected to close current observational gaps particularly over remote, polar, and aerosol-contaminated regions, where actual in situ and passive remote sensing observation techniques have difficulties. For methane, a "Methane Remote Lidar Mission" was proposed by Deutsches Zentrum für Luft-und Raumfahrt and Centre National d'Etudes Spatiales in the frame of a German-French climate monitoring initiative. Simulations assess the performance of this mission with the help of Moderate Resolution Imaging Spectroradiometer and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations of the earth's surface albedo and atmospheric optical depth. These are key environmental parameters for integrated path differential absorption lidar which uses the surface backscatter to measure the total atmospheric methane column. Results show that a lidar with an average optical power of 0.45 W at 1.6 μm wavelength and a telescope diameter of 0.55 m, installed on a low Earth orbit platform (506 km), will measure methane columns at precisions of 1.2%, 1.7%, and 2.1% over land, water, and snow or ice surfaces, respectively, for monthly aggregated measurement samples within areas of 50 × 50 km 2 . Globally, the mean precision for the simulated year 2007 is 1.6%, with a standard deviation of 0.7%. At high latitudes, a lower reflectance due to snow and ice is compensated by denser measurements, owing to the orbital pattern. Over key methane source regions such as densely populated areas, boreal and tropical wetlands, or permafrost, our simulations show that the measurement precision will be between 1 and 2%.

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First operational BRDF, albedo nadir reflectance products from MODIS

Cited by 2,151 publications

References 34 publications

Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity

Stand age and species richness dampen interannual variation of ecosystem-level photosynthetic capacity

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

Performance simulations for a spaceborne methane lidar mission

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