Human-induced changes of surface albedo in Northern China from 1992-2012

Hu, Yonghong; Hou, Meiting; Zhen, Xiaoju; Yao, Lan; Xu, Yanhua

doi:10.1016/j.jag.2019.03.018

Cited by 20 publications

(14 citation statements)

References 45 publications

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“…[1,2]. Surface albedo, varying with natural processes and human activities, is often marked by deforestation, reforestation, urbanization, agriculture management, etc., and in turn feeds back into the atmosphere to alter the climate system, then further influencing land surface ecosystems [3][4][5]. Charney et al claimed that increased surface albedo caused by the decrease of vegetation cover could lead to or perpetuate drought in the Sahara Desert [6].…”

Section: Introductionmentioning

confidence: 99%

“…Veraverbeke et al evaluated post-fire changes in surface temperature and surface albedo using multi-temporal MODIS data, and concluded that surface albedo sharply decreased immediately after the fire event [7]. Hu et al claimed that human-induced albedo change would bring negative radiative forces, with land cover changes, using the 1992-2012 time series data, which may further promote cooling effects in northern China [4]. Other studies have pointed out that the natural reforesting process in fire-disturbed forest regions can last for decades, whereas the development or transition among surface ecosystems can last for up to hundreds of years, especially those involved in the climate change [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

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Cross-Comparison of Global Surface Albedo Operational Products-MODIS, GLASS, and CGLS

et al. 2021

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Surface albedo, as an important parameter for land surface geo-biophysical and geo-biochemical processes, has been widely used in the research communities involved in surface energy balance, weather forecasting, atmospheric circulation, and land surface process models. In recent years, operational products using satellite-based surface albedo have, from time to time, been rapidly developed, contributing significantly to the estimation of energy balance at regional or global scales. The increasing number of research topics on dynamic monitoring at a decades-long scale requires a combination of albedo products generated from various sensors or programs, while the quantitative assessment of agreement or divergence among different surface albedo products still needs further understanding. In this paper, we investigated the consistency of three classical operational surface albedo products that have been frequently used by researchers globally via the official issued datasets-MODIS, GLASS (Global LAnd Surface Satellite), and CGLS (Copernicus Global Land Service). The cross-comparison was performed on all the identical dates available during 2000–2017 to represent four season-phases. We investigated the pixel-based validity of each product, consistency of global annual mean, spatial distribution and different temporal dynamics among the discussed products in white-sky (WSA) and black-sky (BSA) albedo at visible (VIS), near-infrared (NIR), and shortwave (SW) regimes. Further, varying features along with the change of seasons was also examined. In addition, the variation in accuracy of shortwave albedo magnitude was explored using ground measurements collected by the Baseline Surface Radiation Network (BSRN) and the Surface Radiation Budget Network (SUFRAD). Results show that: (1) All three products can provide valid long-term albedo for dominant land surface, while GLASS can provide additional estimation over sea surfaces, with the highest percentage of valid land surface pixels, at up to 93% in 24 October. The invalid pixels mainly existed in the 50°N–60°N latitude belt in December for GLASS, Central Africa in April and August for MODIS, and northern high latitudes for CGLS. (2) The global mean albedo of CGLS at the investigated bands has significantly higher values than those of MODIS and GLASS, with a relative difference of ~20% among the three products. The global mean albedo of MODIS and GLASS show a generally increasing trend from April to December, with an abrupt rise at NIR and SW of CGLS in June of 2014. Compared with SW and VIS bands, the linear temporal trend of the NIR global albedo mean in three products continues to increase, but the slope of CGLS is 10–100 times greater than that of the other two products. (3) The differences in albedo, which are higher in April, October, and December than in August, exhibit a small variation over the main global land surface regions, except for Central Eurasia, North Africa, and middle North America. The magnitude of global absolute difference among the three products usually varies within 0.02–0.06, but with the largest value occasionally exceeding 0.1. The relative difference is mainly within 10–20%, and can deviate more than 40% away from the baseline. In addition, CGLS has a greater opportunity to achieve the largest difference compared with MODIS and GLASS. (4) The comparison with ground measurements indicates that MODIS generally performs better than GLASS and CGLS at the sites discussed. This study demonstrates that apparent differences exist among the three investigated albedo products due to the ingested source data, algorithm, atmosphere correction etc., and also points at caution regarding data fusion when multiple albedo products were organized to serve the following applications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cross-Comparison of Global Surface Albedo Operational Products-MODIS, GLASS, and CGLS

et al. 2021

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“…Therefore, land surface albedo varying in space and time as a result of both natural and human disturbance (e.g. deforestation, reforestation, fire, flooding, drought, insect damage, urbanization) is a driver for the Earth's climate and energy cycle (GCOS 2004;Hu et al, 2019;Kuusinen, Tomppo, & Berninger, 2013;Lukeš, Stenberg, Mõttus, Manninen, & Rautiainen, 2016;Potter, Elsasser, MacCracken, & Ellis, 1981;Wang, Liang et al, 2017;Weligepolage, Gieske, & Su, 2013).…”

Section: Introductionmentioning

confidence: 99%

Re-understanding of land surface albedo and related terms in satellite-based retrievals

et al. 2020

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Land surface albedo is a critical variable in determining surface energy balance, and regulating climate and ecosystem processes through feedback mechanisms. Therefore, climatic modelers and radiative monitoring require accurate estimates of land surface albedo. With the instrument development, algorithm upgrade, spectral-band-adjustment in wavelength center or band width, and the increasing distinct requirement from diversified communities, various albedo terms have been generated in related satellite-based products. The lack of understanding on the divergence of these terminologies can introduce potential considerable errors in the subsequent applications, or an elevated probability to invert the deduced conclusion. We surveyed the basic concepts of reflectance quantities, retrieval strategies, and models developed since the 1970s, and discuss both strength and opportunity for improvements on land surface albedo extraction, and product generation. In addition, we exemplified the difference of albedo terms using the daily MODIS product (MCD43A) to emphasize the potential risk of the ambiguous usage, over typical IGBP land covers in Northern Kazakhstan. Our investigation shows that relative differences among various albedo terms can reach up to 181% and 50%, while 0.266 and 0.118 of absolute variance respectively in the narrow and broad-band surface albedo, which illuminated cautions against the ambiguous understanding of albedo terminologies or erroneous usage of albedo products.

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“…To date, numerous land surface albedo datasets have been derived from polar and geostationary satellite data (Qu et al, 2015), such as the MODerate-resolution Imaging Spectroradiometer (MODIS) (Lucht et al, 2000;Schaaf et al, 2002), Global LAnd Surface Satellite (GLASS) (Liu et al, 2013b;Qu et al, 2014;Qu et al, 2016), and Cloud, Albedo, and RAdiation (CLARA) (Riihelä et al, 2013) albedo datasets. The albedo datasets derived from satellite observations can be applied to great advantage in the analysis of global or regional surface albedo trends (He et al, 2014;Hu et al, 2015;Hu et al, 2019). Nevertheless, the accuracy and uncertainty of the analysis results have largely been determined by the temporal span of the surface albedo datasets (Liu et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…A strong increasing trend (+0.00152 from 1990 to 2010) of surface albedo was observed in the Sanjiang Plain due to the land use/cover conversions from grassland and forest to farmland (Zhai et al, 2014). Hu et al (2019) performed an analysis that identified the contribution of human-induced albedo to regional land surface albedo change over northern China using satellite-derived albedo data. Their results showed that the surface albedo over northern China increased slightly from 1992 to 2012 due to the land cover change (6% of the area experienced land cover change), while the human-induced albedo change caused a negative radiative forcing (−0.705 W/m 2 ) during the same period, further promoting cooling effects in northern China.…”

Section: Introductionmentioning

confidence: 99%

Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data

Zhang

2020

Chin. Geogr. Sci.

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As a key parameter for indicating the fraction of surface-reflected solar incident radiation, land surface albedo plays an important role in the Earth's surface energy budget (SEB). Since the Sanjiang Plain has been severely affected by human activities (e.g., reclamation and shrinking of wetlands), it is important to assess the spatiotemporal variations of surface albedo in this region using a long-term remote sensing dataset. In order to investigate the surface albedo climatology, trends, and mechanisms of change, we evaluated the surface albedo variations in the Sanjiang Plain, China from 1982 to 2015 using the Global LAnd Surface Satellite (GLASS) broadband surface albedo product. The results showed that: 1) an increasing annual trend (+0.000 58/yr) of surface albedo was discovered in the Sanjiang Plain based on the GLASS albedo dataset, with a much stronger increasing trend (+0.001 26/yr) occurring during the winter. Most of the increasing trends occurred over the cultivated land, unused land, and land use conversion types located in the northeastern Sanjiang Plain. 2) The increasing trend of land surface albedo in Sanjiang Plain can be largely explained by the changes of both snow cover extent and land use. The surface albedo in winter is highly correlated with the snow cover extent in the Sanjiang Plain, and the increasing trend of surface albedo can be further enhanced by the land use changes.

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Human-induced changes of surface albedo in Northern China from 1992-2012

Cited by 20 publications

References 45 publications

Cross-Comparison of Global Surface Albedo Operational Products-MODIS, GLASS, and CGLS

Cross-Comparison of Global Surface Albedo Operational Products-MODIS, GLASS, and CGLS

Re-understanding of land surface albedo and related terms in satellite-based retrievals

Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data

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