The global weather of today is growing significantly warmer; this is an indisputable fact. However, the scientific community
has not yet reached consensus on the causes of global warming and its possible consequences. This paper introduces the causes
of global warming and summarizes its results, which both involve a series of huge and complex system issues. Our top priority
is to pinpoint the main reason and the interrelated links between causative factors by adopting a macro-approach, or comprehensive
comparison analysis. Its physical mechanism was then determined and its digital model established after quantitative study.
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Translated from Green Leaf, 2007, (8): 34–35 [译自: 绿叶] 相似文献
Using more than three million Landsat satellite images, this research developed the first global impervious surface area (GISA) dataset from 1972 to 2019. Based on 120,777 independent and random reference sites from 270 cities all over the world, the omission error, commission error, and F-score of GISA are 5.16%, 0.82%, and 0.954, respectively. Compared to the existing global datasets, the merits of GISA include: (1) It provided the global ISA maps before the year of 1985, and showed the longest time span (1972–2019) and the highest accuracy (in terms of a large number of randomly selected and third-party validation sample sets); (2) it presented a new global ISA mapping method including a semi-automatic global sample collection, a locally adaptive classification strategy, and a spatio-temporal post-processing procedure; and (3) it extracted ISA from the whole global land area (not from an urban mask) and hence reduced the underestimation. Moreover, on the basis of GISA, the long time series global urban expansion pattern (GUEP) has been calculated for the first time, and the pattern of continents and representative countries were analyzed. The two new datasets (GISA and GUEP) produced in this study can contribute to further understanding on the human’s utilization and reformation to nature during the past half century, and can be freely download from http://irsip.whu.edu.cn/resources/dataweb.php.