[PDF][PDF] 面向高空间分辨率遥感影像的山区地形校正方法

柳潇, 吕新彪, 吴春明, 刘洪, 黄瀚霄, 李俊, 李敏敏… - 地球科学, 2020 - earth-science.net
山区地形复杂, 遥感影像地形效应明显, 易造成“同物异谱”,“同谱异物” 现象,
增大了遥感地质填图的难度. 但前人对适用于复杂地形条件下地质填图的地形校正模型讨论较少 …

Modeling the top-of-atmosphere radiance of alpine snow with topographic effects explicitly solved

G Wang, L Jiang, F Pan, H Cui, S Zhang - ISPRS Journal of …, 2024 - Elsevier
Optical remote sensing of snow is challenged by the complex radiative transfer mechanism
in alpine environments. The representation of topographic effects in interpreting satellite …

Mudflat surface sediment type mapping by remote sensing considering the effect of the chlorophyll-a content

Y Zhao, D Zhang, H Deng, MEJ Cutler - Estuarine, Coastal and Shelf …, 2023 - Elsevier
Mudflats are critical interfaces between the marine and terrestrial environment of muddy
coasts. Mapping mudflat surface sediment types and analyzing their dynamic changes are …

[HTML][HTML] Remote Sensing-Based Simulation of Snow Grain Size and Spatial–Temporal Variation Characteristics of Northeast China from 2001 to 2019

F Zhang, L Zhang, Y Zheng, S Wang, Y Huang - Remote Sensing, 2023 - mdpi.com
The size of snow grains is an important parameter in cryosphere studies. It is the main
parameter affecting snow albedo and can have a feedback effect on regional climate …

Reconstruction of Snow Cover in Kaidu River Basin via Snow Grain Size Gap-Filling Based on Machine Learning

L Zhu, G Ma, Y Zhang, J Wang, X Kan - Water, 2023 - mdpi.com
Fine spatiotemporal resolution snow monitoring at the watershed scale is crucial for the
management of snow water resources. This research proposes a cloud removal algorithm …

Characterizing Spatiotemporal Patterns of Snowfall in the Kaidu River Basin from 2000–2020 Using MODIS Observations

J Wang, L Zhu, Y Zhang, W Huang, K Song, F Tian - Remote Sensing, 2022 - mdpi.com
Characterizing spatiotemporal patterns of snowfall is essential for understanding cryosphere
responses to warming climate stress. The changes in snowfall and topographic controls in …

Snow depth retrieval in farmland based on a statistical lookup table from passive microwave data in northeast China

L Gu, X Fan, X Li, Y Wei - Remote Sensing, 2019 - mdpi.com
At present, passive microwave remote sensing is the most efficient method to estimate snow
depth (SD) at global and regional scales. Farmland covers 46% of Northeast China and …

Evaluating snow bidirectional reflectance of models using multiangle remote sensing data and field measurements

L Ye, P Xiao, X Zhang, X Feng, R Hu… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Because of the anisotropy of snow surface reflectance, it is essential to select a proper snow
bidirectional reflectance model for extracting snow cover and inverting snow properties from …

一种基于降噪自编码神经网络的积雪产品去云方法.

张永宏, 陈帅, 王剑庚, 朱灵龙… - Journal of Nanjing …, 2023 - search.ebscohost.com
取, 常被用于积雪覆盖时空变化的研究中. 由于受云遮挡的影响, MODIS 积雪产品存在较大区域
的数据缺失. 为了消除云遮挡的影响, 本文构建一种降噪自编码神经网络模型 …

Cloud removal for snow products based on denoising autoencoder artificial neural network

Y Zhang, S Chen, J Wang, L Zhu… - … Xinxi Gongcheng Daxue …, 2023 - search.proquest.com
Snow cover is one of the important parameters in the study of hydrometeorology. At present,
the most widely used Snow Cover Area (SCA) can be obtained by Moderate-resolution …