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Fine-Grained Climate Classification for the Qaidam Basin
The Qaidam Basin is a sensitive climate transition zone revealing a wide spectrum of local climates and their variability. In order to obtain an objective and quantitative expression of local climate regions as well as avoid the challenge to pre-define ...
Yuning Feng +3 more
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Building Damage Detection Based on OPCE Matching Algorithm Using a Single Post-Event PolSAR Data
Synthetic aperture radar (SAR) is an effective tool in detecting building damage. At present, more and more studies detect building damage using a single post-event fully polarimetric SAR (PolSAR) image, because it permits faster and more convenient ...
Yuliang Nie +3 more
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The Landsat time-series dataset is one of the most widely used datasets for land surface research due to its long time-series and Land Surface Reflectance (LSR) product.
Cong Zhao, Zihua Wu, Qiming Qin, Xin Ye
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Landsat 8/thermal infrared sensor (TIRS) is suffering from the problem of stray light that makes an inaccurate radiance for two thermal infrared (TIR) bands and the latest correction was conducted in 2017. This paper focused on evaluation of land surface
Jinxin Guo +4 more
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Optical and Thermal Remote Sensing for Monitoring Agricultural Drought
By effectively observing the land surface and obtaining farmland conditions, satellite remote sensing has played an essential role in agricultural drought monitoring over past decades.
Qiming Qin +10 more
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Every year typhoons severely disrupt the normal rhythms of human activities and pose serious threats to China’s coast. Previous studies have shown that the impact extent and degree of a typhoon can be inferred from various geolocation datasets.
Sheng Huang +6 more
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A New FAPAR Analytical Model Based on the Law of Energy Conservation: A Case Study in China
The fraction of absorbed photosynthetically active radiation (FAPAR) characterizes the energy-absorption ability of the vegetation canopy. It is a critical input to many land-surface models such as crop growth models, net primary productivity models, and
Wenjie Fan +4 more
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Location-aware big data from social media have been widely used to quantitatively characterize natural disasters and disaster-induced losses. It is not clear how human activities collectively respond to a disaster.
Zhang Liu +5 more
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Trends of Aerosol Optical Thickness Using VIIRS S-NPP during Fog Episodes in Pakistan and India
Aerosol Optical Thickness (AOT) is one of the important parameters for assessing regional and global level of climate change. Fog episodes have considerably increased in south Asia because of environmental factors, and the burning of agricultural residue
Muhammad Umar +5 more
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Indoor Mobility Interaction Model: Insights into the Customer Flow in Shopping Malls
Interaction in large-scale outdoor space has been extensively studied due to its importance in understanding the human-land relationship. Models such as the gravity have been proven to be able to quantify the interaction between two places.
Yaxi Liu +5 more
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