Article
Environmental Sciences
Yunxia Du, Kaishan Song, Ge Liu
Summary: This study uses satellite remote sensing data to classify water bodies into three optical types based on unsupervised cluster analysis. The results show that each optical water type is associated with different bio-optical properties.
Review
Environmental Sciences
Qi Cao, Gongliang Yu, Zhiyi Qiao
Summary: Hyperspectral remote sensing, widely used for inland water quality detection, provides real-time data with a noncontact method, improving efficiency. Spaceborne remote sensing has been the focus, but near-surface remote sensing is being applied to small waterbodies. Future research may focus on multiplatform linkage monitoring. Machine learning models are more robust for water quality parameter inversion.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Review
Geography, Physical
Fanxuan Zeng, Chunqiao Song, Zhigang Cao, Kun Xue, Shanlong Lu, Tan Chen, Kai Liu
Summary: This review comprehensively examines the applications of Sentinel satellites in monitoring inland water, including quantity and quality dimensions. The construction of a virtual constellation can enhance the observation capability to support SDG 6. However, there are still challenges such as the lack of freely available Sentinel-derived products and a unified platform.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Biodiversity Conservation
Zhigang Wang, Shengkui Cao, Guangchao Cao, Yaofang Hou, Youcai Wang, Ligang Kang
Summary: This study aims to systematically reveal the water variation in different vegetation landscape zones of the alpine inland river basin, delineate its water resources protection zones, and propose its water resources management strategies.
ECOLOGICAL INDICATORS
(2023)
Review
Environmental Sciences
Farzane Mohseni, Fatemeh Saba, S. Mohammad Mirmazloumi, Meisam Amani, Mehdi Mokhtarzade, Sadegh Jamali, Sahel Mahdavi
Summary: This paper reviews the application of remote sensing techniques in ocean water quality (OWQ) monitoring, introducing common OWQ parameters and monitoring techniques. The study finds that chlorophyll-a and colored dissolved organic matter are the dominant parameters for OWQ monitoring, and data from optical and passive microwave sensors are effective in estimating OWQ parameters.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Zhilong Zhao, Xiaolan Cai, Changchun Huang, Kun Shi, Jianhong Li, Jiale Jin, Hao Yang, Tao Huang
Summary: This article proposes a novel inversion algorithm based on remote sensing and geochemical isotopes for estimating particulate organic carbon (POC) concentrations in inland water. The algorithm has been validated and shown to accurately derive POC concentrations, revealing the temporal and spatial variations in POC in Lake Taihu.
REMOTE SENSING OF ENVIRONMENT
(2022)
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
Environmental Sciences
Jian Li, Meiru Ke, Yurong Ma, Jian Cui
Summary: In this study, we proposed a super-resolution based flexible spatiotemporal data fusion algorithm (SR-FSDAF) to address the issue of time-frequency impact in water quality monitoring for small inland rivers. Both qualitative and quantitative evaluations showed that our fusion algorithm achieved better prediction results. Additionally, by comparing the band sensitivity of the images before and after fusion, it was proven that the fusion method can improve the time-frequency of NH3-N inversion.
Review
Environmental Sciences
Carlos Quemada, Jose M. Perez-Escudero, Ramon Gonzalo, Inigo Ederra, Luis G. Santesteban, Nazareth Torres, Juan Carlos Iriarte
Summary: This paper reviews various remote sensing techniques for monitoring plant water status, categorizing them based on the part of the plant being measured. The study presents the trends in published papers, the most common sensors used, and the water indicators identified. Overall, it highlights the significant correlation between estimated and measured data, providing valuable insights for irrigation management.
Article
Chemistry, Analytical
Henrique Dantas Borges, Jean-Michel Martinez, Tristan Harmel, Rejane Ennes Cicerelli, Diogo Olivetti, Henrique Llacer Roig
Summary: This study analyzed an in situ, high-frequency above-water radiometric dataset collected over 18 days in a tropical reservoir for continuous monitoring of suspended particulate matter (SPM) concentration. Different methods for retrieving reflectance spectra and SPM inversion algorithms were applied and evaluated. The proposed processing approach effectively reduced variability in the resulting SPM concentration assessed from above-water radiometry, paving the way for noninvasive high-frequency monitoring of SPM concentrations in streams and lakes.
Article
Environmental Sciences
Bridget N. Seegers, P. Jeremy Werdell, Ryan A. Vandermeulen, Wilson Salls, Richard P. Stumpf, Blake A. Schaeffer, Tommy J. Owens, Sean W. Bailey, Joel P. Scott, Keith A. Loftin
Summary: This study highlights the importance of lakes and other surface fresh waterbodies for humans, aquatic life, and ecosystem health, and examines the use of satellite remote sensing data for monitoring inland water quality. The researchers developed a new chlorophyll algorithm using satellite remote sensing data, and evaluated its ability to assess lake trophic state across the CONUS.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Shang Tian, Hongwei Guo, Wang Xu, Xiaotong Zhu, Bo Wang, Qinghuai Zeng, Youquan Mai, Jinhui Jeanne Huang
Summary: Remote sensing is an effective method for water quality monitoring, and machine learning algorithms, such as XGBoost, have shown great potential in retrieving water quality parameters. This study compared the performance of four machine learning algorithms and found that XGBoost outperformed others in inland reservoirs. The research reconstructed the spatial-temporal patterns of chlorophyll-a, dissolved oxygen, and ammonia-nitrogen using XGBoost and analyzed their interannual, seasonal, and spatial variations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Xiao Sun, Yunlin Zhang, Kun Shi, Yibo Zhang, Na Li, Weijia Wang, Xin Huang, Boqiang Qin
Summary: Proximal remote sensing combined with machine learning algorithms showed great potential in monitoring water quality in inland waters with high accuracy. Developed and validated models led to effective and continuous monitoring of various water bodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
S. Liu, W. Glamore, B. Tamburic, A. Morrow, F. Johnson
Summary: The study explores the applicability of using multiple satellites data for detecting harmful algal blooms in small to medium waterbodies. It finds that the available satellite bands are crucial for determining detection algorithms, recommending the integration of regular sampling activities and remote sensing for monitoring and managing these waterbodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Review
Environmental Sciences
Remika S. Gupana, Daniel Odermatt, Ilaria Cesana, Claudia Giardino, Ladislav Nedbal, Alexander Damm
Summary: This study investigates methodological and knowledge gaps in remote sensing of chlorophyll-a SIF in optically complex waters by reviewing the theory, instrumentation availability, retrieval schemes, and applications for aquatic research. It discusses factors influencing SIF leaving the water body, observational capacities, and viable retrieval techniques for improved SIF emission estimates in various applications.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Jonas E. Boehler, Michael E. Schaepman, Mathias Kneubuehler
Article
Ecology
Mojdeh Miraki, Hormoz Sohrabi, Parviz Fatehi, Mathias Kneubuehler
Summary: In this study, the application of three individual tree crown delineation algorithms using UAV-based imagery in a Hyrcanian forest in Iran was investigated. The results showed that the RG algorithm outperformed the other two algorithms and proved to be the most suitable approach for tree delineation.
ECOLOGICAL INFORMATICS
(2021)
Article
Environmental Sciences
Jing Xie, Fabia Husler, Rogier de Jong, Barbara Chimani, Sarah Asam, Yeran Sun, Michael E. Schaepman, Mathias Kneubuhler
Summary: Shifts in phenology due to climate change in mountainous ecosystems are evident in the European Alps, with earlier SOS and increased spring temperatures having a predominant influence on phenological changes. Snow cover duration and melting days have a secondary impact on phenology.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2021)
Article
Agriculture, Multidisciplinary
Mojdeh Miraki, Hormoz Sohrabi, Parviz Fatehi, Mathias Kneubuehler
Summary: Remote detection of aerial parasitic plants in forests is crucial for precision forestry, and in this study, UAV-based RGB data was used to classify trees infected by mistletoe in Iran. The study demonstrates the potential of using UAV-based RGB data for studying mistletoe infection and distribution in a complex forest ecosystem.
JOURNAL OF PLANT DISEASES AND PROTECTION
(2021)
Article
Biodiversity Conservation
Christian Rossi, Mathias Kneubuehler, Martin Schuetz, Michael E. Schaepman, Rudolf M. Haller, Anita C. Risch
Summary: This study introduces a new method to quantify spatio-temporal spectral diversity, allowing for a more accurate assessment of plant biodiversity by partitioning total spectral diversity into alpha diversity within communities and beta diversity between communities.
ECOLOGICAL INDICATORS
(2021)
Article
Engineering, Environmental
Camille Minaudo, Daniel Odermatt, Damien Bouffard, Abolfazl Irani Rahaghi, Sebastien Lavanchy, Alfred Wueest
Summary: This study conducted high-frequency IOP profiling in Lake Geneva and found seasonal variations and systematic diel patterns in the IOPs, which were influenced by phytoplankton metabolism, dissolved oxygen, and wind conditions. The research illustrated the potential of using high-frequency profiles of water optical properties to enhance understanding of carbon cycling in lake ecosystems.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2021)
Article
Environmental Sciences
Fanny Petibon, Ewa A. Czyz, Giulia Ghielmetti, Andreas Hueni, Mathias Kneubuhler, Michael E. Schaepman, Meredith C. Schuman
Summary: The measurement of leaf reflectance can provide valuable insight into species trait variations, however, current research in this area is still limited, and there is a lack of standard methods for characterizing or monitoring such variation.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Ecology
Christian Rossi, Mathias Kneubuehler, Martin Schuetz, Michael E. Schaepman, Rudolf M. Haller, Anita C. Risch
Summary: This study investigated the relationship between spectral diversity and plant species richness in alpine grassland ecosystems, finding that a fused dataset can meet the requirements of high spatial- and spectral resolution for remote biodiversity measurement. Contrary to previous research, a negative correlation was found between spectral metrics based on spectral complexity and plant species richness, with the calculation of spectral diversity being sensitive to live and dead plant biomass.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2022)
Article
Environmental Sciences
Nicolas Escoffier, Pascal Perolo, Thibault Lambert, Janine Ruegg, Daniel Odermatt, Thierry Adatte, Torsten Vennemann, Marie-Elodie Perga
Summary: This study investigated the mechanisms underlying a whiting event during the early summer of 2019 in Lake Geneva. The event started during a snowmelt period in the catchment at the Rhone River delta before spreading along the lake's northern shore and covering vast areas of its deeper basin. The development of the event depended upon the thermal stratification of the water column and the existence of a physically stable metalimnion.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Article
Multidisciplinary Sciences
Luis J. Gilarranz, Anita Narwani, Daniel Odermatt, Rosi Siber, Vasilis Dakos
Summary: Lakes are important indicators of global change, and understanding their stability and dynamics is crucial for studying ecosystem changes. In this study, we conducted a global assessment of regime shifts and stability in lakes, finding that some lakes exhibit tipping points and instability, which are influenced by population density and economic development.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Optics
Remika S. Gupana, Alexander Damm, Abolfazl Irani Rahaghi, Camille Minaudo, Daniel Odermatt
Summary: Quantum yield of fluorescence (OF) is crucial for understanding the impact of photochemical quenching (PQ) and non-photochemical quenching (NPQ) on sun-induced fluorescence (SIF) signals. However, obtaining accurate OF measurements is challenging due to its high temporal and physiological variability, as well as the need for combined measurements. In this study, we used in-situ measurements in Lake Geneva to investigate the vertical and temporal changes in OF and determine NPQ and PQ conditions. Our findings reveal the presence of NPQ in daytime profiles and the significant influence of downwelling irradiance on OF.
Article
Remote Sensing
Desiree Ruppen, James Runnalls, Raphael M. Tshimanga, Bernhard Wehrli, Daniel Odermatt
Summary: In this study, a satellite remote sensing methodology was developed to assess the impacts of tailings spills on water quality. Focusing on the controversial incident at the Catoca diamond mine in Angola in late July 2021, the researchers tracked the propagation of the pollution front from the mine through the Tshikapa and Kasai Rivers using high resolution satellite imagery. The findings confirm that the tailings spill significantly affected water quality and had severe public health impacts.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Proceedings Paper
Optics
Wolfgang Gross, Florian Queck, Simon Schreiner, Marius Voegtli, Jannick Kuester, Jonas Mispelhorn, Mathias Kneubuehler, Wolfgang Middelmann
Summary: Hyperspectral sensors are used to measure the electromagnetic spectrum for materials and objects, and can be valuable for security and defense tasks. A drone-borne hyperspectral sensor experiment was conducted in Germany to record data of various camouflage setups and determine camouflage detection limits using typical hyperspectral data evaluation approaches.
TARGET AND BACKGROUND SIGNATURES VIII
(2022)
Proceedings Paper
Remote Sensing
Wolfgang Gross, Florian Queck, Marius Voegtli, Simon Schreiner, Jannick Kuester, Jonas Boehler, Jonas Mispelhorn, Mathias Kneubuehler, Wolfgang Middelmann
Summary: This paper presents three experiments combining multi-temporal hyperspectral data in target detection, demonstrating the robustness of hyperspectral analysis under various conditions.
TARGET AND BACKGROUND SIGNATURES VII
(2021)
Article
Engineering, Electrical & Electronic
Marius Voegtli, Daniel Schlapfer, Rudolf Richter, Andreas Hueni, Michael E. Schaepman, Mathias Kneubuehler
Summary: This article evaluates the transfer of methods from spaceborne to airborne acquisitions and introduces a new Lambertian/statistical-empirical correction method. The new method showed good performance in airborne data and suggests that effects of higher spatial resolution may compromise previously successful methods.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
