Article
Geochemistry & Geophysics
Jinliang Hou, Chunlin Huang, Ying Zhang, Yuanhong You
Summary: This article proposes the use of LSTM networks to reconstruct the gap pixels in MODIS NDSI products. The LSTM-based schemes utilize spatiotemporal information to restore the missing NDSI data. The results show that these schemes can generate continuous NDSI data with comparable accuracy to the original products.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Mostafa Bousbaa, Abdelaziz Htitiou, Abdelghani Boudhar, Youssra Eljabiri, Haytam Elyoussfi, Hafsa Bouamri, Hamza Ouatiki, Abdelghani Chehbouni
Summary: This study examines the effectiveness of combining optical sensors through image fusion techniques for capturing snow dynamics in a semi-arid context. Three different models were tested and compared, and the pre-classification FSDAF model was found to produce the most accurate fused NDSI images with retained spatial detail. The study highlights the potential of the combined use of Landsat-8 and Sentinel-2 data for high-resolution snow cover mapping.
Article
Environmental Sciences
Huang Xiaoran, Bao Anming, Guo Hao, Meng Fanhao, Zhang Pengfei, Zheng Guoxiong, Yu Tao, Qi Peng, Vincent Nzabarinda, Du Weibing
Summary: In this study, the authors analyzed the spatiotemporal changes of glaciers in Xinjiang Uygur Autonomous Region and their responses to climate change. The findings showed that the glaciers in the region have been experiencing a decrease in area, and their responses to factors like precipitation and temperature vary in different sub-regions.
JOURNAL OF ARID LAND
(2022)
Article
Environmental Sciences
Wenqian Chen, Xin Wang, Jiecan Cui, Xiaoyi Cao, Wei Pu, Xuan Zheng, Haofan Ran, Jianli Ding
Summary: The study used remote sensing observations and models to retrieve the radiative forcing of black carbon in snow in Xinjiang, China, showing distinct spatial variability and a close correlation with black carbon concentrations and industrial emissions.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Geochemistry & Geophysics
Gongxue Wang, Lingmei Jiang, Jiancheng Shi, Xu Su
Summary: The study introduces a universal ratio snow index (URSI) to improve the stability of the linear snow index methodology, which shows better performance in forested areas compared to the normalized difference snow index (NDSI).
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Geosciences, Multidisciplinary
Ghasem Keikhosravi
Summary: The study evaluates the impact of heat waves on early snow melt in the Karkheh catchment of Iran, finding an increasing trend in heat wave frequency. Two dominant synoptic patterns, a Siberian high-pressure pattern and a Pakistan-Africa low-pressure pattern, significantly decrease snow cover area during specific months.
Article
Geochemistry & Geophysics
Gongxue Wang, Lingmei Jiang, Fangbo Pan, Haiteng Weng, Yongsheng Zhang
Summary: In this study, the shape effects on snow NDSI were investigated by simulating and calculating. The results showed that the shape of snow grains has a significant impact on NDSI, while increasing surface roughness of ice particles can weaken the shape effects. The shape of Koch snowflake leads to different NDSI habits compared to the other three shapes for large snow grain size. Moreover, the NDSI of spheroid and hexagonal prism also has complex responses to aspect ratio. These findings are important for snow-covered area mapping applications that rely on NDSI.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Green & Sustainable Science & Technology
Jian Wang, Junsan Zhao, Peng Zhou, Kangning Li, Zhaoxiang Cao, Haoran Zhang, Yang Han, Yuanyuan Luo, Xinru Yuan
Summary: This study uses remote sensing data and other relevant data to analyze the vegetation coverage in the Tibet Autonomous Region (TAR) over the past 22 years. The results show that the southern and southeastern parts of the TAR have better vegetation cover, while the western and northwestern parts have poorer vegetation cover. Overall, there has been an increasing trend in vegetation coverage in the TAR, but a decreasing trend in ridgelines, snow cover, and glacier-covered areas. Soil type is identified as the most crucial factor influencing vegetation cover changes.
Article
Engineering, Electrical & Electronic
Arnab Muhuri, Simon Gascoin, Lucas Menzel, Tihomir S. Kostadinov, Adrian A. Harpold, Alba Sanmiguel-Vallelado, Juan Lopez-Moreno
Summary: The study assessed the performance of snow detection and fractional snow cover estimation algorithms employed by Copernicus Land Monitoring Service in forested landscapes, revealing varying performance under different conditions.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Engineering, Environmental
Avtar Singh Jasrotia, Retinder Kour, Komal Kumar Singh
Summary: This study explores the impact of shadow on the normalized difference snow index (NDSI) values, finding that shadow significantly affects the spectral reflectance of snow even after atmospheric and topographic corrections. Therefore, when accurately estimating the physical properties and albedo of snow, the influence of shadow must be taken into account.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2022)
Article
Remote Sensing
Sarah Hauser, Andreas Schmitt
Summary: This study examines Langjokull, Hofsjokull, and Vatnajokull ice caps in Iceland using historical maps and satellite images, finding all three glaciers are retreating and advancing, with the most significant trend being a steady decrease in correlation with mean summer temperatures over time. The results also show an exceptional increase in the Equilibrium Line Altitude (ELA) on all three glaciers, leading to a reduction of the accumulation zone.
PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE
(2021)
Article
Meteorology & Atmospheric Sciences
Terhikki Manninen, Jean-Louis Roujean, Olivier Hautecoeur, Aku Riihela, Panu Lahtinen, Emmihenna Jaaskelainen, Niilo Siljamo, Kati Anttila, Timo Sukuvaara, Lauri Korhonen
Summary: The study found that the relationship between surface albedo and effective leaf area index is independent of flight altitude, with a 20 km footprint being representative of the landscape, and albedo showing sensitivity to sparse vegetation.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Energy & Fuels
Nicholas Riedel-Lyngskaer, Martynas Ribaconka, Mario Po, Anders Thorseth, Sune Thorsteinsson, Carsten Dam-Hansen, Michael L. Jakobsen
Summary: This paper analyzes the influence of spectral albedo on bifacial photovoltaic performance through 15 months of spectral albedo measurements. The study finds that spectral impact is lower on tracked systems due to more sky diffuse light reaching the backside, and proposes the normalized difference vegetation index as a good predictor of backside spectral effects.
Article
Environmental Sciences
Xiaoqing Tan, Siqiong Luo, Hongmei Li, Xiaohua Hao, Jingyuan Wang, Qingxue Dong, Zihang Chen
Summary: This study investigated the relationship between snow cover, vegetation, and soil temperature using remote sensing indicators. The results showed a negative correlation between annual snow cover duration and soil temperature, but a positive correlation between annual NDVI and soil temperature. Changes in snow cover and vegetation in the Three River Source Region were observed, affecting the local soil temperatures differently.
Article
Environmental Sciences
Jingyun Guan, Junqiang Yao, Moyan Li, Jianghua Zheng
Summary: Human activities have significant impacts on vegetation dynamics in the ecologically fragile region of Xinjiang, China. Improved NDVI prediction models and residual analysis methods were used to quantitatively assess these impacts, revealing that human activities mainly contribute to the improvement of vegetation, particularly for crops. Factors such as cultivated area, primary industry GDP, and population promote NDVI increase, while factors like animal husbandry population, agricultural population, and livestock number lead to NDVI decrease. The evolutionary trend of anthropogenic impacts on vegetation dynamics in Xinjiang shows a dominance of anti-persistence, with positive impacts continuing to increase, especially for crops, shrubs, grasslands, and alpine vegetation.