Article
Environmental Sciences
Mathieu Decuyper, Roberto O. Chavez, Madelon Lohbeck, Jose A. Lastra, Nandika Tsendbazar, Julia Hacklander, Martin Herold, Tor-G Vagen
Summary: This study presents a new change detection algorithm that can accurately track deforestation and regrowth of forests using satellite data. The algorithm performs well across different forest types and change conditions, and can be used to assess carbon accumulation and forest restoration targets of secondary forests.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Lili Xu, Martin Herold, Nandin-Erdene Tsendbazar, Dainius Masiliunas, Linlin Li, Myroslava Lesiv, Steffen Fritz, Jan Verbesselt
Summary: This study compares the performance of three satellite sensors (PROBA-V, Landsat 8 OLI, and Sentinel-2 MSI) in global land cover change (LCC) monitoring and evaluates their potential and limitations. The results show that Landsat 8 OLI slightly outperforms Sentinel-2 in global LCC monitoring, while PROBA-V performs the worst. The performance differences among the sensors remain consistent despite variations in data availability and spectral observation regions.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Engineering, Civil
Damir Jukic, Vesna Denic-Jukic, Ana Kadic
Summary: This study investigates the sediment transport process in a karst aquifer using time series analysis. The results show that the partial cross-correlation function is useful for studying mass transport and determining the specific contribution of rainfall locations to spring water quantity and quality. The study provides valuable insights into sediment origins and the timing of rainwater arrival in the karst aquifer.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Shijuan Chen, Curtis E. Woodcock, Eric L. Bullock, Paulo Arevalo, Paata Torchinava, Siqi Peng, Pontus Olofsson
Summary: Recent advancements in remote sensing data and cloud computing platforms have provided new opportunities for monitoring forest degradation in temperate regions. A new approach combining time series analysis and spectral mixture analysis successfully mapped and estimated the area of forest degradation in Georgia.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Yan Gao, Alexander Quevedo, Zoltan Szantoi, Margaret Skutsch
Summary: MODIS-based NDVI time series was used to monitor sub-annual forest disturbance in Michoacan, Mexico. A specific algorithm and threshold were applied to detect more forest gain than loss for 2013-2016, with forest gain peaking in 2014 and 2015.
GEOCARTO INTERNATIONAL
(2021)
Article
Environmental Sciences
Shijuan Chen, Pontus Olofsson, Thatheva Saphangthong, Curtis E. Woodcock
Summary: This study used Landsat time series on Google Earth Engine to monitor shifting cultivation in Laos from 1991 to 2020. Forest disturbances were mapped as shifting cultivation, new plantation, deforestation, severe drought, and subtle disturbance using time series analysis, object-based image analysis, and post-disturbance land cover classification. Shifting cultivation was found to be the main land use in Laos, accounting for 32.9% +/- 1.9% of the country over the past 30 years. The area of shifting cultivation increased in 2015-2020.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Chemistry, Multidisciplinary
Laszlo Vas, Eniko Anna Tamas
Summary: The study aims to find an effective method for monitoring suspended sediment transport in rivers. The currently used methods are not accurate enough, so the researchers tested an integrated surrogate method based on turbidity registration to determine the suspended sediment yield in the lower reach of the Danube River. The results of the tests show that the method has great potential, but further measurements are needed to refine the relationships.
APPLIED SCIENCES-BASEL
(2023)
Article
Ecology
Francesco Parisi, Elia Vangi, Saverio Francini, Giovanni D'Amico, Gherardo Chirici, Marco Marchetti, Fabio Lombardi, Davide Travaglini, Sonia Ravera, Elena De Santis, Roberto Tognetti
Summary: Remote sensing and harmonic metrics analysis can be used to assess the biodiversity of forest ecosystems, providing support for forest management and conservation.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2023)
Article
Environmental Sciences
D. N. Livsey, R. D. R. Turner, P. R. Grace
Summary: Optical and acoustic backscatter measurements are combined to quantify suspended-sediment concentration and particle size in suspensions dominated by muddy flocculated sediment. The sediment composition index (SCI) is used to predict the ratio of suspended-sediment concentration to acoustic backscatter under changes in particle size and density, and to estimate suspended-sediment concentration that is independent of changes in particle size and density. The SCI is found to be sensitive to changes in particle size and the estimates of particle bulk apparent density from SCI are biased by changes in particle size.
WATER RESOURCES RESEARCH
(2023)
Article
Chemistry, Applied
Di Qu, Xiao-hui Huo, Zhi-man Li, Mei Hua, Yu-Shun Lu, Jian-bo Chen, Shan-Shan Li, Lian-Kui Wen, Yin-Shi Sun
Summary: Sediment formation in ginseng beverages is a gradual process, with significant differences in formation speed, morphology, and transmittance for aqueous extracts from different parts of ginseng.
Article
Environmental Sciences
Jaime C. Schussler, Michael A. Perez, Jarrell Blake Whitman, Bora Cetin
Summary: This study presents a case study of sediment basin systems used in the construction of Highway U.S. 30 in Tama County, Iowa, USA. The sediment basins were found to be effective in reducing suspended sediment in stormwater runoff. Despite some areas for improvement, performance of the in-channel sediment basins can be enhanced through design optimization and technological advancements.
Article
Forestry
Mohammed Othman Aljahdali, Sana Munawar, Waseem Razzaq Khan
Summary: Through extensive data analysis, it was found that the health of mangrove communities in Rabigh Lagoon has shown a positive trend in recent years. Vegetation indices indicated that mangrove trees went through three phases: degraded, slow recovery, and regenerated. The study found that MSAVI captured various trend patterns related to vegetation greenness most effectively, while NDMI better identified forest disturbance and recovery due to water stress.
Article
Remote Sensing
Yaotong Cai, Qian Shi, Xiaocong Xu, Xiaoping Liu
Summary: This study developed the Pure Forest Index (PFI) using a combination of the existing vegetation index (VI) and spectral mixture analysis (SMA) to effectively detect and characterize forest changes. The PFI demonstrated reliable performance in mapping forest dynamics in the Amazon rainforest and improved monitoring accuracy compared to other indices. This approach has important implications for further research on forests and ecosystems.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Biochemical Research Methods
Jian Shao, Ziqing Liu, Shaoyun Li, Benrui Wu, Zedong Nie, Yuefei Li, Kaixin Zhou
Summary: The CGMTSA R package is a convenient tool for analyzing CGM data as a time series. It provides functions for missing data imputation, outlier identification, calculation of CGM metrics and time series parameters, as well as visualization of temporal CGM data and time series model optimization using interactive and three-dimensional graphs.
JOURNAL OF COMPUTATIONAL BIOLOGY
(2023)
Article
Environmental Sciences
Su Ye, John Rogan, Zhe Zhu, J. Ronald Eastman
Summary: This study introduces a new approach for monitoring forest disturbances using Landsat data time series, which incorporates a mathematical tool and state space model for accurate analysis of forest disturbances. The results show that the method performs well in both quantitative and qualitative analyses, with slightly higher accuracy compared to current methods, and provides better real-time monitoring capabilities.
REMOTE SENSING OF ENVIRONMENT
(2021)