Article
Environmental Sciences
Gholamreza Mohammadpour, Saied Pirasteh
Summary: The study parametrized SPM concentration in the Persian Gulf and Oman Sea coastal waters using MODIS-derived Rrs values, with the optical model being sensitive to CDOM concentration and showing significant correlation with in situ measurements. This increased the average accuracy of estimates up to 73%.
MARINE POLLUTION BULLETIN
(2021)
Article
Engineering, Electrical & Electronic
Weining Zhu
Summary: Compared to traditional remote sensing classification and inversion techniques, remote sensing statistical inference is a novel method for rapidly estimating the statistical properties of ground objects. In this study, using field-measured data from Qiandao Lake, we tested over 240,000 inference models to determine the statistical parameters of colored dissolved organic matter. The results showed that accurate inference can be achieved with errors of less than 10%, using specific combinations of bands, variables, and functions.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Biodiversity Conservation
Hao Zhang, Bo Yao, Shengrui Wang, Guoqiang Wang
Summary: This study utilized satellite remote sensing to analyze water quality in Erhai Lake, finding spatial and temporal distribution characteristics of CDOM and FI370. CDOM concentration showed a trend of being higher in summer and autumn than in spring and winter, with higher concentrations in the northern part compared to central and southern parts; FI370 varied significantly in different regions and seasons, being higher in autumn and winter. Different CDOM concentration models had varying retrieval effects based on different Chl-a concentrations.
ECOLOGICAL INDICATORS
(2021)
Article
Chemistry, Analytical
Sergey M. Pershin, Boris G. Katsnelson, Mikhail Ya Grishin, Vasily N. Lednev, Vladimir A. Zavozin, Ilia Ostrovsky
Summary: In recent decades, harmful algal blooms in freshwater reservoirs have become a steady phenomenon, highlighting the importance of real-time water quality monitoring. Laser remote sensing, as an alternative to satellite techniques, offers the potential for depth-resolved studies of fresh or seawater, allowing for more detailed analysis of algal concentrations.
Article
Environmental Sciences
Poonam Wagh, Jency M. Sojan, Sriram J. Babu, Renu Valsala, Suman Bhatia, Roshan Srivastav
Summary: The major lockdown due to the COVID-19 pandemic has impacted global socio-economic development and led to reduced pollution levels. A study on Lake Hussain Sagar using remote sensing techniques found significant improvements in water quality during the 2020 lockdown, with historical variations indicating the lowest pollution levels in 2020.
Article
Optics
Ziyao Yin, Junsheng Li, Yao Liu, Fangfang Zhang, Shenglei Wang, Ya Xie, Min Gao
Summary: This study modeled the changes in Suspended Particulate Matter (SPM) concentration in Lake Taihu using Landsat satellite data and found a downward trend, which may be attributed to a decline in wind speed.
Article
Environmental Sciences
Lorenzo Palombi, Valentina Raimondi
Summary: Marine plastic litter is a global challenge with massive plastic input to the marine environment every year. This study explores the potential of using hyperspectral fluorescence LIDAR technique to detect and characterize plastics in water, showing promising results in distinguishing different types of plastics from other marine debris. The research lays the groundwork for remote sensing of marine plastic litter.
Article
Environmental Sciences
Lukas Brodsky, Vit Vilimek, Miroslav Sobr, Tomas Kroczek
Summary: Supraglacial lakes are important for ice dynamics and surface hydrology. This study quantifies the effect of suspended particulate matter on lake depth measurements. The results show a good relationship between water spectra and lake depth even in the presence of suspended particulate matter.
Review
Environmental Sciences
Zhihui Li, Fei Zhang, Jingchao Shi, Ngai Weng Chan, Mou Leong Tan, Hsiang-te Kung, Changjiang Liu, Chunyan Cheng, Yunfei Cai, Weiwei Wang, Xingyou Li
Summary: Chromophoric dissolved organic matter (CDOM) plays a critical role in the biogeochemistry and energy flux of aquatic ecosystems. Remote sensing data has been increasingly used in CDOM research, particularly in China and the United States. Recent research focus has shifted from studying absorption and fluorescence properties to optimizing remote sensing inversion models. Choosing the appropriate inversion method for different types of water body is important. Future research should focus on studying the characteristics of CDOM, optimizing inversion algorithms, developing algorithms with low dependence on measured data, and building a transportable inversion model to promote the deeper and more comprehensive development of CDOM research.
MARINE POLLUTION BULLETIN
(2023)
Article
Environmental Sciences
Zhigang Cao, Chuanmin Hu, Ronghua Ma, Hongtao Duan, Miao Liu, Steven Loiselle, Kaishan Song, Ming Shen, Dong Liu, Kun Xue
Summary: This study developed a machine learning model to generate SPM time series in 269 lakes across China from 2002 to 2021. The study found that SPM concentrations showed a significant decrease in the 21st century, with different changing patterns in different climate zones and ecoregions.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Yunxia Du, Kaishan Song, Qiang Wang, Ge Liu, Zhidan Wen, Yingxin Shang, Lili Lyu, Jia Du, Sijia Li, Hui Tao, Baohua Zhang, Xiang Wang
Summary: An exponential function model was developed based on Landsat data and in situ data to analyze total suspended matter concentrations in lakes across Inner Mongolia. The results showed that factors such as vegetation coverage, wind speed, and precipitation played significant roles in influencing TSM changes in different lakes. Comprehensive analysis of factors surrounding a lake is important for determining the possible trend of TSM variation.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Viktor R. Toth
Summary: Lake Balaton, a shallow freshwater lake in Central Europe, has shown an increasing trend in algal biomass over the past 20 years. The reconstruction of the Kis-Balaton Water Protection System (KBWPS) had a significant impact on the rate of algal biomass accumulation. However, mesoscale environmental factors may also play a role in the observed increase.
Article
Engineering, Environmental
Hongkai Zhao, Yudi Zhou, Hongda Wu, Tiit Kutser, Yicai Han, Ronghua Ma, Ziwei Yao, Huade Zhao, Peituo Xu, Chengchong Jiang, Qiuling Gu, Shizhe Ma, Lingyun Wu, Yang Chen, Haiyan Sheng, Xueping Wan, Wentai Chen, Xiaolong Chen, Jian Bai, Lan Wu, Qun Liu, Wenbo Sun, Suhui Yang, Miao Hu, Chong Liu, Dong Liu
Summary: This study presents the first Mie-fluorescence-Raman lidar (MFRL) measurements of continuous chlorophyll a (Chl-a) profiles in inland water. The results show that MFRL can accurately measure Chl-a concentration, providing the possibility for mapping Chl-a distribution in aquatic ecosystems using remote sensing technology.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Chemistry, Analytical
Jumar G. Cadondon, Prane Mariel B. Ong, Edgar A. Vallar, Tatsuo Shiina, Maria Cecilia D. Galvez
Summary: Chlorophyll-a measurement is crucial for monitoring algal growth and water quality in natural waters. A portable pulsed LED fluorescence lidar system has been developed, which utilizes algal organic matter and pigment excitation-emission matrix (EEM) to detect chlorophyll-a and turbidity. The system shows high correlation with standard methods and presents a potential alternative for algal growth monitoring.
Article
Environmental Sciences
Chenggong Du, Yunmei Li, Heng Lyu, Kun Shi, Naisen Liu, Chen Yan, Jinheng Pan, Yulong Guo, Yuan Li
Summary: In this study, an algorithm based on the near-infrared band was developed and applied to assess the distribution of total suspended matter (TSM) in the Hongze Lake. The results revealed significant variability in TSM concentration on an inter-annual, seasonal, and spatial scale. The impacts of precipitation and wind speed on TSM concentration were analyzed.
Article
Green & Sustainable Science & Technology
Diego Peruchi Trevisan, Mayara Herrmann Ruggiero, Polyanna da Conceicao Bispo, Dayana Almeida, Maryam Imani, Heiko Balzter, Luiz Eduardo Moschini
Summary: The study analyzed the changes in the landscape structure of the Tiete-Jacare watershed in Sao Paolo, Brazil, from 2007 to 2017, finding a decrease in vegetation and increase in crops, which resulted in a decline in landscape environmental quality. The urbanity index was utilized to assess landscape sustainability conditions, showing the relationship between environmental vulnerability and human activities.
Article
Environmental Sciences
Xiang Fan, Yongze Song, Chuxin Zhu, Heiko Balzter, Zhongke Bai
Summary: This study reveals significant differences in vegetation-climate relationships between reclaimed and unmined lands using remote-sensing data. Vegetation on reclaimed lands responds to a wider range of climatic variables and shows a higher sensitivity to climatic variability compared to undisturbed vegetation. The legacy effects of surface mining can critically impact on-site vegetation-climate relationships and the overall structure, functions, and stability of reclaimed ecosystems.
Article
Environmental Sciences
Youshui Zhang, Heiko Balzter, Yu Li
Summary: This study analyzed the impact of impervious surface areas (ISA) and vegetation cover on the urban thermal environment, revealing the trends of different ISA and FVC categories on LST, SHR, and SCR in different seasons. The results showed that in summer, there is a decrease in SHR as percent ISA increases and an increase in SCR as FVC increases. The trends of SHR/SCR as a function of percent ISA/FVC are more complex in spring and autumn.
Article
Green & Sustainable Science & Technology
Diego Peruchi Trevisan, Polyanna da Conceicao Bispo, Yaqing Gou, Bianca Fogaca de Souza, Veraldo Liesenberg, Angela Harris, Heiko Balzter, Luiz Eduardo Moschini
Summary: The study utilized RF algorithm and Sentinel-2 satellite data to analyze land use and land cover changes in the Tiete-Jacare watershed in Sao Paulo state, Brazil. Eight classes were identified, with agricultural activities predominantly covered by sugarcane cultivation over the three years.
Article
Ecology
Igor Goncharenko, Maxim Krakhmalnyi, Violeta Velikova, Enrique Ascencio, Aleksandr Krakhmalnyi
Summary: This study utilized ecological niche modeling to assess the risk of mass development of a toxic dinoflagellate species in various regions of the Black Sea, finding that approximately 16% of the area is at high risk. The research indicates that the model can predict the occurrence and mass development of the species, with potential applications for predicting the appearance of other toxic species.
ECOHYDROLOGY & HYDROBIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Fang Chen, Aihua Zhang, Heiko Balzter, Peng Ren, Huiyu Zhou
Summary: This work aims to develop an effective method for marine oil spill segmentation in SAR images by investigating the distribution representation of SAR images. The proposed method utilizes the probability distribution representation of oil spill SAR images to guide the segmentation process. Experimental evaluations demonstrate the effectiveness of the proposed method for different types of marine oil spill SAR image segmentation.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geosciences, Multidisciplinary
S. Modugno, S. C. M. Johnson, P. Borrelli, E. Alam, N. Bezak, H. Balzter
Summary: Decision-making plays a crucial role in reducing landslide risk and preventing natural disasters. This study presents a GIS-based multi-scale approach to identify areas with a high probability of landslide occurrence. The results demonstrate the importance of using biophysical variables at a national level and geomorphological aspects at a sub-regional level in detecting landslide hotspot areas. Logistic Regression analysis was implemented to understand the contributing factors to landslide occurrence.
Article
Environmental Sciences
Ana Maria Pacheco-Pascagaza, Yaqing Gou, Valentin Louis, John F. Roberts, Pedro Rodriguez-Veiga, Polyanna da Conceicao Bispo, Fernando D. B. Espirito-Santo, Ciaran Robb, Caroline Upton, Gustavo Galindo, Edersson Cabrera, Indira Paola Pachon Cendales, Miguel Angel Castillo Santiago, Oswaldo Carrillo Negrete, Carmen Meneses, Marco Iniguez, Heiko Balzter
Summary: The commitment by over 100 governments to end deforestation by 2030 requires more effective forest monitoring systems. Near real-time change detection of forest cover loss enables timely monitoring and responses, and the Copernicus Sentinel-2 satellites provide suitable data for this purpose. The proposed NRT change detection system based on these satellites has been evaluated and proven to accurately detect forest cover loss and other vegetation changes. It is also scalable and adaptable to larger regions and countries.
Article
Environmental Sciences
Aleksandr Molkov, Sergei Fedorov, Vadim Pelevin
Summary: Atmospheric correction of remote sensing imagery over optically complex waters is challenging, especially for eutrophic inland basins. In this study, four common atmospheric correction algorithms were tested on a Sentinel-3/OLCI image of the Gorky Reservoir during a blue-green algal bloom. The accuracy of all algorithms was found to be unsatisfactory due to incorrect determination of aerosol parameters. A fixed AOD algorithm was proposed to solve this problem and achieve high accuracy in remote sensing reflectance.
Article
Environmental Studies
Igor Goncharenko, Igor Solomakha, Vasyl L. Shevchyk, Tetyana S. Dvirna, Igor Ya Tymochko, Volodymyr A. Solomakha
Summary: This study investigated the vegetation characteristics of afforestation belts in the Middle Dnipro Region of Ukraine and found that they are influenced by various ecological factors. Phytoindicational assessment and cluster analysis revealed a high similarity among the vegetation communities, primarily determined by the dominant tree species. The afforestation belts represent a distinctive component of the forest biome in the region due to their artificial creation.
ENVIRONMENTAL & SOCIO-ECONOMIC STUDIES
(2022)
Article
Environmental Sciences
Iram M. M. Iqbal, Heiko Balzter, Firdaus-e-Bareen, Asad Shabbir
Summary: This study used remote sensing and machine learning algorithms to map the distribution of native and invasive species in two protected areas in Pakistan. The results showed that PlanetScope imagery was more accurate than Sentinel data in detecting invasive species. Lantana camara was the dominant invasive species, covering 23% of the area, while Leucaena leucocpehala was mainly distributed in the southern end of the Jindi Reserve Forest with a coverage of 7%. Overall, PlanetScope had slightly better accuracy in species discrimination compared to Sentinel.
Article
Environmental Sciences
Viktor R. Toth
Summary: Lake Balaton, a shallow freshwater lake in Central Europe, has shown an increasing trend in algal biomass over the past 20 years. The reconstruction of the Kis-Balaton Water Protection System (KBWPS) had a significant impact on the rate of algal biomass accumulation. However, mesoscale environmental factors may also play a role in the observed increase.
Article
Oceanography
A. N. Drozdova, V. V. Pelevin, I. N. Krylov, E. A. Streltsova, B. V. Konovalov
Summary: This study presents the results of optical studies on organic matter in the surface water layer of Gelendzhik Bay and adjacent areas of the Black Sea. The effectiveness of remote laser sensing in determining the appropriate sampling stations is demonstrated. The contribution of terrigenous dissolved organic matter (DOM) is found to be weak, with a slight increase in humic substances near the mouth of the Su-Aran River. The maximum content of biolabile DOM is observed in coastal regions of Gelendzhik Bay, while high levels of DOM, particulate organic matter (POM), and the maximum content of DOM and POM combined are observed in the eastern part of the bay based on fluorescent lidar data.
Article
Environmental Studies
Beth Cole, Geoff Smith, Bestabe de la Barreda-Bautista, Alexandra Hamer, Matthew Payne, Thomas Codd, Sarah C. M. Johnson, Lok Yung Chan, Heiko Balzter
Summary: This paper presents the results from the CLC2018 mapping project in the UK and analyzes the land cover changes from 2012 to 2018. It finds that the rate of change between successive CORINE land cover maps is increasing, with urban land expansion and growth in industrial or commercial units being the dominant changes. The study also analyzes the pressures experienced on the land in the UK.
Article
Geosciences, Multidisciplinary
Maurizio Santoro, Oliver Cartus, Nuno Carvalhais, Danae M. A. Rozendaal, Valerio Avitabile, Arnan Araza, Sytze de Bruin, Martin Herold, Shaun Quegan, Pedro Rodriguez-Veiga, Heiko Balzter, Joao Carreiras, Dmitry Schepaschenko, Mikhail Korets, Masanobu Shimada, Takuya Itoh, Alvaro Moreno Martinez, Jura Cavlovic, Roberto Cazzolla Gatti, Polyanna da Conceicao Bispo, Nasheta Dewnath, Nicolas Labriere, Jingjing Liang, Jeremy Lindsell, Edward T. A. Mitchard, Alexandra Morel, Ana Maria Pacheco Pascagaza, Casey M. Ryan, Ferry Slik, Gaia Vaglio Laurin, Hans Verbeeck, Arief Wijaya, Simon Willcock
Summary: This study utilized satellite observations to generate a global dataset of above-ground live biomass in forests, estimating the terrestrial biomass pool. Regional uncertainties were found in high-carbon-stock forests, highlighting the impact of a country's national inventory capacity on the accuracy of biomass statistics. The dataset is likely to have significant impacts on climate, carbon, and socio-economic modelling schemes worldwide.
EARTH SYSTEM SCIENCE DATA
(2021)