[PDF][PDF] 积雪, 土壤冻融与土壤水分遥感监测研究进展

蒋玲梅, 崔慧珍, 王功雪, 杨建卫, 王健, 潘方博, 苏旭… - 遥感技术与应用, 2020 - rsta.ac.cn
积雪, 土壤冻融与土壤水分是陆表能量与水分以及碳交换过程研究中的重要因子,
为了更好地了解积雪覆盖, 雪深/雪水当量, 土壤冻融状态和土壤水分等参数的遥感监测领域的 …

The recent developments in cloud removal approaches of MODIS snow cover product

X Li, Y Jing, H Shen, L Zhang - Hydrology and Earth System …, 2019 - hess.copernicus.org
The snow cover products of optical remote sensing systems play an important role in
research into global climate change, the hydrological cycle, and the energy balance …

Cloud removal in remote sensing images using nonnegative matrix factorization and error correction

X Li, L Wang, Q Cheng, P Wu, W Gan, L Fang - ISPRS journal of …, 2019 - Elsevier
In the imaging process of optical remote sensing platforms, clouds are an inevitable barrier
to the effective observation of sensors. To recover the original information covered by the …

Ground-based evaluation of MODIS snow cover product V6 across China: Implications for the selection of NDSI threshold

H Zhang, F Zhang, G Zhang, T Che, W Yan… - Science of the Total …, 2019 - Elsevier
The new MODIS daily NDSI snow cover product version 6 (V6) is released to replace V5
with significant revisions. This study evaluates, for the first time, the accuracy of product V6 …

[HTML][HTML] The NIEER AVHRR snow cover extent product over China–a long-term daily snow record for regional climate research

X Hao, G Huang, T Che, W Ji, X Sun… - Earth System …, 2021 - essd.copernicus.org
A long-term Advanced Very High Resolution Radiometer (AVHRR) snow cover extent (SCE)
product from 1981 until 2019 over China has been generated by the snow research team in …

[HTML][HTML] Development and validation of a new MODIS snow-cover-extent product over China

X Hao, G Huang, Z Zheng, X Sun, W Ji… - Hydrology and Earth …, 2022 - hess.copernicus.org
Abstract Based on MOD09GA/MYD09GA surface reflectance data, a new MODIS snow-
cover-extent (SCE) product from 2000 to 2020 over China has been produced by the …

Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia

G Deng, Z Tang, C Dong, D Shao, X Wang - Remote Sensing, 2024 - mdpi.com
Accurate snow cover data are critical for understanding the Earth's climate system, and
exploring hydrological processes and regional water resource management over High …

[HTML][HTML] Estimating fractional snow cover in vegetated environments using MODIS surface reflectance data

X Xiao, T He, S Liang, X Liu, Y Ma, S Liang… - International Journal of …, 2022 - Elsevier
Advances in snow-cover mapping techniques have resulted in more accurate estimation of
fractional snow cover (FSC) in areas with no vegetation; however, vegetation interference …

Mapping snow cover in forests using optical remote sensing, machine learning and time-lapse photography

J Luo, C Dong, K Lin, X Chen, L Zhao… - Remote Sensing of …, 2022 - Elsevier
The accurate spatial information of snow cover is useful for understanding the impact of
global warming, and it is of high significance for hydrological disaster prediction, water …

Mapping global urban areas from 2000 to 2012 using time-series nighttime light data and MODIS products

Z Chen, B Yu, Y Zhou, H Liu, C Yang… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Mapping urban dynamics at the global scale becomes a pressing task with the increasing
pace of urbanization and its important environmental and ecological impacts. In this study …