Results 1 to 10 of about 4,124 (193)

Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The normalized difference snow index (NDSI) is the most popular snow detection index. Due to cloud cover, it is difficult to produce complete and gap-free NDSI datasets.
Siyong Chen, Xiaoyan Wang, Hui Guo
exaly   +4 more sources

Development of a cloud-free MODIS NDSI dataset (2001–2020) over Northeast China

International Journal of Digital Earth
In the MODIS snow product collection 6.1 (C6.1), some snowy pixels are misclassified as cloud pixels due to an excessive cloud mask algorithm. This increases cloud contamination in normalized difference snow index (NDSI) and affects snow mapping accuracy.
Zhaojun Zheng, Tao Che
exaly   +4 more sources

STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China [PDF]

Earth System Science Data, 2022
Snow dynamics are crucial in ecosystems, affecting radiation balance, hydrological cycles, biodiversity, and human activities. Snow areas with notably diverse characteristics are extensively distributed in China, mainly including Northern Xinjiang (NX ...
Y. Jing, X. Li, H. Shen, H. Shen
doaj   +4 more sources

Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model

Science of Remote Sensing, 2023
Snow cover extent and distribution over the years have a significant impact on hydrological, terrestrial, and climatologic processes. Snow cover mapping accuracy using remote sensing data is then particularly important. This study analyses Landsat-8 NDSI
Charlotte Poussin, Bruno Chatenoux, Gregory Giuliani   +2 more
exaly   +3 more sources

Protocol of a randomized controlled trial of nurse-led de-stressful skill interventions in patients with depression disorder [PDF]

Journal of Education and Health Promotion
Background: Stress is associated with the development and worsening of depression disorder. Therefore, various stress reduction interventions have been surged to cope with stress and enhance treatment outcomes for patients with depressive disorder.
Sanjay Sevak, Ganesan Balamurugan, Naresh Nebhinani   +2 more
doaj   +2 more sources

Estimation of Nitrogen Status in Zanthoxylum armatum var. novemfolius Using Machine Learning Algorithms and UAV Hyperspectral and LiDAR Data Fusion [PDF]

Plants
Accurate monitoring of nitrogen (N) status is critical for precision N management and optimizing the yield and quality of Zanthoxylum armatum var. novemfolius (ZA).
Shangyuan Zhao, Yong Wei, Jinkun Zhao, Shuai Wang, Xin Ye, Xiaojun Shi, Jie Wang   +6 more
doaj   +2 more sources

A Two-Stage Fusion Framework to Generate a Spatio–Temporally Continuous MODIS NDSI Product over the Tibetan Plateau [PDF]

Remote Sensing, 2019
The Tibetan Plateau (TP) is an important component of the global environmental system, on which the snow cover greatly affects the regional climate and ecology. Moderate resolution imaging spectroradiometer (MODIS) snow cover products have been demonstrated to be appropriate for investigating the snow cover over the TP.
Yinghong Jing, Huanfeng Shen, Xinghua Li   +2 more
exaly   +3 more sources

Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression

Remote Sensing Letters
Imagery acquired by the Moderate-resolution Imaging Spectroradiometer (MODIS) provides a global archive of dailyNormalized Difference Snow Index (NDSI) at 500 m nominal resolution since the year 2000. While Sentinel-2 (S2) NDSI provides an increased spatial resolution of 20 m since the year 2015, the temporal resolution amounts to only 5 days and thus ...
Andreas Kollert, Andreas Mayr, Stefan Dullinger   +2 more
exaly   +5 more sources

An accurate snow cover product for the Moroccan Atlas Mountains: Optimization of the MODIS NDSI index threshold and development of snow fraction estimation models

International Journal of Applied Earth Observation and Geoinformation
In semi-arid Mediterranean areas, a significant proportion of the population living downstream depends on water resources from snowmelt and precipitation as their main source of water.
Mostafa Bousbaa, Abdelghani Boudhar, Christophe Kinnard   +2 more
exaly   +3 more sources

Application of the ESTARFM algorithm for fusing Sentinel-2 and MODIS NDSI series in the eastern Qilian Mountains

Journal of Hydrology: Regional Studies
Study region: Eastern Qilian Mountains, China Study focus: It is important to monitor snow cover via high-spatiotemporal-resolution remote sensing data. However, there is a trade-off between the high/low spatial resolution and low/high temporal resolution of available sensors. In this study, an enhanced spatiotemporal adaptive reflectance fusion model (
Siyong Chen, Tao Che, Zhaojun Zheng
exaly   +3 more sources