Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Donghang Shao"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTLake distribution on the Tibetan Plateau (TP) is extensive, and lake area changes are key indicators of the TP's climate change response. Many multisource remote sensing big data for the TP, particularly optical images, are unusable due to cl
Externí odkaz:
https://doaj.org/article/008aafe7264d4904900c896b55981228
Autor:
Donghang Shao, Hongyi Li, Alexander Kokhanovsky, Wenzheng Ji, Xinyue Zhong, Haojie Li, Hongxing Li, Xiaohua Hao
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 7903-7917 (2024)
Dust deposited on the surface of snow and glaciers can significantly reduce the snow and ice albedo and accelerate melting. Manual observations of the dust mass concentration (DMC) on snow and glacier surfaces are routinely performed at many location
Externí odkaz:
https://doaj.org/article/46a708bf5788451db97ec9c709ae6041
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103873- (2024)
The sensitivity of synthetic aperture radar (SAR) polarization information to snow depth changes provides new opportunities for regional snow depth retrieval in mountains with thick snow cover. However, interference from soil signals can affect the a
Externí odkaz:
https://doaj.org/article/5bfe4275e7a24483a1a06d677fcc4591
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 192 (2024)
Accurate snow cover data are critical for understanding the Earth’s climate system, and exploring hydrological processes and regional water resource management over High Mountain Asia (HMA). However, satellite-based remote sensing observations of s
Externí odkaz:
https://doaj.org/article/5c565ebe8fb74306b339beccdb7b9492
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 46, Iss , Pp 101358- (2023)
Study region: Zhangjiakou competition zone (ZJK-CZ) of the Beijing Olympic Winter Games. Study focus: Under the extreme uncertainty of future climate change scenarios, a system solution capable of snow depth forecasting is urgently needed for the sus
Externí odkaz:
https://doaj.org/article/e842f85790844ba385bee9eb9cfe142e
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 775 (2023)
Snow cover is an essential indicator of global climate change. The composition of the underlying surface in the Pan-Arctic region is complex; forest and other areas with high vegetation coverage have a significant influence on the retrieval accuracy
Externí odkaz:
https://doaj.org/article/d982c80d84b2445eb83753a488580353
Autor:
Qin Zhao, Xiaohua Hao, Jian Wang, Siqiong Luo, Donghang Shao, Hongyi Li, Tianwen Feng, Hongyu Zhao
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 3936 (2022)
Snow cover phenology (SCP) is critical to the climate system. China has the most comprehensive snow cover distribution in the middle and low latitudes and has shown dramatic changes over the past few decades. However, the spatiotemporal characteristi
Externí odkaz:
https://doaj.org/article/51d302310f654d4db4a9c1e3b31a09c5
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1506 (2022)
Mountain glaciers monitoring is important for water resource management and climate changes but is limited by the lack of a high-quality Digital Elevation Model (DEM) and field measurements. Sentinel 1A/1B satellites provide alternative data for glac
Externí odkaz:
https://doaj.org/article/1c39a1e5822a47cfa94b5e57b962fa1e
Publikováno v:
Earth System Science Data. 14:795-809
The snow water equivalent (SWE) is an important parameter of surface hydrological and climate systems, and it has a profound impact on Arctic amplification and climate change. However, there are great differences among existing SWE products. In the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f89ed0ed6c57132e22254b5667327186
https://doi.org/10.5194/essd-14-795-2022
https://doi.org/10.5194/essd-14-795-2022
Autor:
Hongyu Zhao, Xiaohua Hao, Jian Wang, Hongyi Li, Guanghui Huang, Donghang Shao, Bo Su, Huajin Lei, Xiaojing Hu
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3693 (2020)
Endmember extraction is a primary and indispensable component of the spectral mixing analysis model applicated to quantitatively retrieve fractional snow cover (FSC) from satellite observation. In this study, a new endmember extraction algorithm, the
Externí odkaz:
https://doaj.org/article/8330d79524ee491b857dcd4e475da4bd