M
Muhammad Sadiq Khan
Researcher at Chinese Academy of Sciences
Publications - 9
Citations - 151
Muhammad Sadiq Khan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Vegetation (pathology) & Land cover. The author has an hindex of 3, co-authored 7 publications receiving 47 citations.
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The Distribution and Accessibility of Urban Parks in Beijing, China: Implications of Social Equity.
TL;DR: The results of this study show that the urban park accessibility varies at district and subdistrict levels and that places with more urban parks usually have higher accessibility, and a mismatch exists between the spatial distribution of urban parks and population, particularly for the elderly residents.
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Land-Use/Land-Cover Changes and Its Contribution to Urban Heat Island: A Case Study of Islamabad, Pakistan
TL;DR: In this article, the authors estimated changes in land-use/land-cover (LULC) from 1993 to 2018, its warming (positive) and cooling (negative) effect, and their contribution to relative LST (RLST) in the city of Islamabad using satellite remote-sensing data.
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Urbanization increased annual precipitation in temperate climate zone: A case in Beijing-Tianjin-Hebei region of North China
TL;DR: Wang et al. as discussed by the authors investigated the effect of urbanization on annual precipitation in the temperate climate zone and found that annual precipitation increased faster in urban areas than in rural areas.
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Land-Use/Land Cover Changes Contribute to Land Surface Temperature: A Case Study of the Upper Indus Basin of Pakistan
TL;DR: In this paper , the authors focused on spatio-temporal LULC and associated land surface temperature (LST) changes since 1987 and made predictions to 2047 using the maximum probability supervised categorization approach.
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Comparing the potential of stereo aerial photographs, stereo very high-resolution satellite images, and TanDEM-X for estimating forest height
Sami Ullah,Sami Ullah,Sami Ullah,Matthias Dees,Pawan Datta,Petra Adler,Tahir Saeed,Muhammad Sadiq Khan,Barbara Koch +8 more
TL;DR: In many countries, it is not the most accurate and primary source providing the 3D structure of forest canopy model (CHM) information; however, in many countries as discussed by the authors.