Article
Environmental Sciences
John M. Melack, Daniele Kasper, Joao H. F. Amaral, Pedro M. Barbosa, Bruce R. Forsberg
Summary: Limnological aspects of Amazon floodplain lakes are examined in the context of aquatic conservation, with a focus on understanding current variations and threats to ecological health. Studies have shown that the lakes are naturally variable and face direct threats from mining activities, mercury contamination, methylation, and deforestation. The cumulative responses to changes in catchments and inundation have major implications for the ecology of floodplain lakes, requiring expanded research and community-based management for conservation efforts.
AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS
(2021)
Article
Environmental Sciences
Ayan S. Fleischmann, Fabrice Papa, Stephen K. Hamilton, Alice Fassoni-Andrade, Sly Wongchuig, Jhan-Carlo Espinoza, Rodrigo C. D. Paiva, John M. Melack, Etienne Fluet-Chouinard, Leandro Castello, Rafael M. Almeida, Marie-Paule Bonnet, Luna G. Alves, Daniel Moreira, Dai Yamazaki, Menaka Revel, Walter Collischonn
Summary: Extensive floodplains in the Amazon basin have important impacts on ecosystem services and global water and carbon cycles. Recent changes in the hydroclimatic regime have caused record-breaking high water levels on the Amazon River, but the implications for floodplain inundation across the basin are still unknown.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Ali Keshavarzi, Henry Oppong Tuffour, Eric C. Brevik, Gunes Ertunc
Summary: Understanding how topography affects soil properties is crucial in landscape management, this study used various interpolation techniques and fractal analysis to assess this impact. Elevation was found to be the most influential covariate in predicting soil properties. The results showed high accuracy in predicting soil property distribution maps, with short range spatial variability and weak correlations observed.
Article
Environmental Sciences
Yingqiang Song, Mingzhu Ye, Zhao Zheng, Dexi Zhan, Wenxu Duan, Miao Lu, Zhenqi Song, Dengkuo Sun, Kaizhong Yao, Ziqi Ding
Summary: This study presents an integration method (tree-structured Parzen estimator-machine learning-ordinary kriging) to predict spatial variability of soil NH3 by considering parameter selection and spatial autocorrelation. The TPE-XGB-OK method exhibited the highest accuracy in predicting soil NH3 flux compared to other models. Spatial mapping results showed that high fluxes of soil NH3 were concentrated in certain areas, possibly influenced by rivers or soil water.
Article
Environmental Sciences
YoungHyun Koo, Hongjie Xie, Nathan T. Kurtz, Stephen F. Ackley, Alberto M. Mestas-Nunez
Summary: This study employs ordinary kriging to characterize the spatial autocorrelation of ICESat-2 freeboard measurements and estimate weekly freeboard variations in the Ross Sea region in 2019. The kriging-estimated freeboards show good correlation with actual measurements, and errors are found to vary across seasons and regions of the Ross Sea. The study also highlights different patterns of freeboard variation in different sectors of the Ross Sea, demonstrating the potential use of kriging for accurate sea ice production estimation.
Article
Ecology
Joao Henrique Fernandes Amaral, John Michael Melack, Pedro Maia Barbosa, Alberto V. Borges, Daniele Kasper, Alicia Cortes Cortes, Wencai Zhou, Sally MacIntyre, Bruce Rider Forsberg
Summary: This study investigated the variations in CO2 concentration and related factors in a representative Amazon floodplain lake, finding that aquatic plant mats, water clarity, water level changes, and chlorophyll-a concentrations were key factors affecting CO2 concentration. CO2 concentrations in the lake were influenced by changes in inundation extent and exchange with vegetated habitats, and lateral exchanges of CO2 between vegetated habitats and open water were observed. The findings highlight the importance of flooded forests and aquatic herbaceous plants as sources of CO2 to open waters in tropical lakes and floodplains.
Article
Agriculture, Multidisciplinary
Cicero Jorge Fonseca Dolacio, Veronica Satomi Kazama, Rafael Schmitz, Ana Paula Dalla Corte, Luiz Rodolfo Reis Costa, Maria de Nazare Martins Maciel
Summary: This study aimed to test whether adding soil chemical variables as secondary variables to ordinary kriging could improve the precision of simulating the volume of Brazilian-mahogany commercial wood. The exponential geostatistical model was found to be the best choice in all scenarios, but the models in scenario two were not good alternatives due to lack of strong spatial dependence. The approach in scenario three proved to be the best alternative for interpolating v(c), followed by scenario one.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Multidisciplinary Sciences
Asmaa Nasser Mohamed Eid, C. O. Olatubara, T. A. Ewemoje, Mohamed Talaat El-Hennawy, Haitham Farouk
Summary: The Wadi El-Rayan wetland in Egypt is an important Ramsar site known for its rich biodiversity. This study focused on mapping the spatial and seasonal distribution of certain physico-chemical parameters of soil samples from the two lakes using ordinary kriging GIS technique. Results showed high concentrations of some soil parameters in the Lower Lake during summer, with abnormal data indicated by the median values being higher than the means.
SN APPLIED SCIENCES
(2021)
Article
Environmental Sciences
Jyoti U. Devkota
Summary: This paper studies the behavior of active fires in Nepal, Bhutan, and Sri Lanka over a period of 1 year using spatial statistics, analyzing the impact of fires on the environment and climate. Different autoregressive models are analyzed in detail to predict the behavior of fire radiative power (FRP) and burning potential of vegetation in unsampled areas. Through statistical analyses, important information on forest fire impact can be indirectly assessed in these developing countries.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2021)
Article
Energy & Fuels
Gamze Erdogan Erten, Oktay Erten, C. Ozgen Karacan, Jeff Boisvert, Clayton Deutsch
Summary: Geostatistics is a widely used probabilistic approach in modeling earth systems. Recently, the integration of machine learning algorithms with geostatistical methods has shown potential for improving estimation accuracy in geological modeling.
INTERNATIONAL JOURNAL OF COAL GEOLOGY
(2023)
Article
Geosciences, Multidisciplinary
Mohsin Khan, Mohammed M. A. Almazah, Asad EIlahi, Rizwan Niaz, A. Y. Al-Rezami, Baber Zaman
Summary: Pakistan is highly affected by the scarcity of safe water sources. A study was conducted to evaluate water quality in the selected area using a surface water quality index (SWQI) based on 18 hydrochemical parameters. The results showed that 30.77% of the samples were unsuitable for drinking. Furthermore, Ordinary kriging (OK) and Universal kriging (UK) were used to predict the SWQI and map its spatial distribution, with UK outperforming OK in prediction performance.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Astronomy & Astrophysics
Thomas Leirvik, Menghan Yuan
Summary: This study found that spatial and time series variables are more important than climatic variables in predicting surface solar radiation. The Random Forest method outperformed conventional interpolation methods in terms of accuracy.
EARTH AND SPACE SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Yingxin Zhang, Mengqi Duan, Shimei Li, Xiaoguang Zhang, Xiangyun Song, Dejie Cui
Summary: Spatial variation of soil pH is important for evaluating environmental quality and saving resources. Analysis of semi-variance structure and spatial prediction based on sampling points provide accurate information on the spatial distribution of soil pH. A minimum of 150 sampling points can effectively represent the spatial variation of soil pH in the county-level area of the Yellow River Delta.
APPLIED SCIENCES-BASEL
(2022)
Article
Water Resources
Xuchun Ye, Juan Wu, Xianghu Li, Yunliang Li, Qi Zhang, Chong -Yu Xu
Summary: This study systematically analyzed the spatiotemporal heterogeneity of inundation dynamics in Poyang Lake, the largest freshwater lake in China, and found that different regions of the lake can have asynchronous intra-annual fluctuation and opposite inter-annual change trend in terms of inundated area and inundation frequency. The study also highlights the importance of reconstructed high spatial-temporal resolution of remote sensing data for the accurate assessment of inundation dynamics in floodplain lakes.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Agronomy
Pedro Yescas-Coronado, Miguel angel Segura-Castruita, Arturo Moises Chavez-Rodriguez, Juan Florencio Gomez-Leyva, Aldo Rafael Martinez-Sifuentes, Osvaldo Amador-Camacho, Raul Gonzalez-Medina
Summary: The study aimed to identify and rank the covariables of soil-forming factors that affect the distribution and spatial variability of pH in an agricultural area, and to obtain a predictive map of soil pH. The results showed that particle size and human activity had the most influence on the spatial behavior of pH.
Article
Limnology
Edson Filisbino Freire da Silva, Evlyn Marcia Leao de Moraes Novo, Felipe de Lucia Lobo, Claudio Clemente Faria Barbosa, Mauricio Almeida Noernberg, Luiz Henrique da Silva Rotta, Carolline Tressmann Cairo, Daniel Andrade Maciel, Rogerio Flores Junior
Summary: In this study, Optical water types (OWTs) were assessed in Brazilian waters using in situ remote sensing reflectance (R-rs), which represent different limnological characteristics of Brazilian waters. Eight OWTs were obtained based on R-rs spectral shape and magnitude. The OWTs could support satellite monitoring by helping to tune algorithms and also providing wide spatial-temporal monitoring.
Article
Environmental Sciences
Pedro Walfir M. Souza-Filho, Felipe de Lucia Lobo, Rosane Barbosa Lopes Cavalcante, Jose Aroudo Mota, Wilson da Rocha Nascimento, Diogo C. Santos, Evlyn M. L. M. Novo, Claudio Clemente Faria Barbosa, Jose O. Siqueira
Summary: The Amazon region has seen significant deforestation due to mining activities, with gold mining being the major contributor. Mining in protected areas is dominated by artisanal gold mining, while industrial-scale iron ore mining has relatively lower impacts on mining areas.
LAND DEGRADATION & DEVELOPMENT
(2021)
Article
Environmental Sciences
Cristiano Niederauer Da Rosa, Waterloo Pereira Filho, Ulisses Franz Bremer, Andre Medeiros De Andrade, Gisieli Kramer, Fernando Luis Hillebrand, Janisson Batista De Jesus
Summary: This study investigates the effect of limnology on the spectral reflectance of a freshwater lake in the Antarctic Peninsula. The lake is classified as ultra-oligotrophic/oligotrophic based on chlorophyll a concentration. The benthic characteristics strongly influence water spectral behavior, with reflectance at 705 nm wavelength greater than at 583 nm, indicating presence of soil and/or vegetation at lake bottom.
Article
Environmental Sciences
Felipe de Lucia Lobo, Gustavo Willy Nagel, Daniel Andrade Maciel, Lino Augusto Sander de Carvalho, Vitor Souza Martins, Claudio Clemente Faria Barbosa, Evlyn Marcia Leao de Moraes Novo
Summary: This paper discusses the development of a water quality monitoring system based on remote sensing imagery, specifically focusing on creating a cloud-computing interface on Google Earth Engine. This system allows users to access algae bloom related products with high spatial and temporal resolution. The proposed methodology uses Sentinel-2 images to generate an image collection of the Normalized Difference Chlorophyll-a Index, estimating Chl-a concentration and Trophic State Index.
Article
Environmental Sciences
Cleber Nunes Kraus, Daniel Andrade Maciel, Marie Paule Bonnet, Evlyn Marcia Leao de Moraes Novo
Summary: This research investigated the use of multispectral vertical diffuse attenuation coefficient of downward irradiance (K-d) gradients in accessing phytoplankton genera. The results suggest that phytoplankton genera are organized based on their ability to use light intensity and different spectral ranges of visible light, with changes in light availability seasonally impacting phytoplankton structure. The study provides valuable insights into describing phytoplankton communities in tropical freshwater floodplains using orbital data, and the approach can be used to assess phytoplankton diversity in these environments.
Article
Biodiversity Conservation
Cristiano Niederauer da Rosa, Waterloo Pereira Filho, Ulisses Franz Bremer, Jair Putzke, Andre Medeiros de Andrade, Gisieli Kramer, Fernando Luis Hillebrand, Janisson Batista de Jesus
Summary: This study aims to identify the spectral pattern of mosses, lichens, and algae in Maritime Antarctica using hyperspectral data. Data from 17 species of Antarctic vegetation were collected, and band simulations and statistical analyses were conducted. The results show that high spectral resolution sensors have a better ability to differentiate species.
BIODIVERSITY AND CONSERVATION
(2022)
Article
Environmental Sciences
Rejane S. Paulino, Vitor S. Martins, Evlyn M. L. M. Novo, Claudio C. F. Barbosa, Lino A. S. de Carvalho, Felipe N. Begliomini
Summary: This research used a physical-based approach with three empirical methods to correct and characterize the adjacency effects in Sentinel-2 images over Brazilian inland waters. The importance of determining the H-Adj parameter for low water reflectance values was highlighted, and the importance of adjacency correction under high aerosol loading and extremely dark, low-reflectance waters was emphasized.
Article
Environmental Sciences
Gisieli Kramer, Waterloo Pereira Filho, Lino Augusto Sander de Carvalho, Patricia Michele Pereira Trindade, Cristiano Niederauer da Rosa, Rafael Dezordi
Summary: Studies on water surface temperature estimation from thermal infrared remote sensing in Brazil are still in the early stages, with many difficulties and limitations. This study validated an algorithm for estimating surface temperature of inland water bodies and achieved accurate estimation results.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Environmental Sciences
Thainara Munhoz Alexandre de Lima, Claudia Giardino, Mariano Bresciani, Claudio Clemente Faria Barbosa, Alice Fabbretto, Andrea Pellegrino, Felipe Nincao Begliomini
Summary: The aim of this study is to test the accuracy of state-of-the-art water constituent retrieval algorithms for phycocyanin (PC) and chlorophyll-a (chl-a) concentrations in Brazilian reservoirs. The algorithms were tested on PRISMA and Sentinel-3 OLCI data, with a focus on PC mapping using OLCI data for its high revisit time. The results suggest that applying the Semi-Analytical algorithm to PRISMA and OLCI data can accurately detect PC in Brazilian reservoirs.
Correction
Multidisciplinary Sciences
Moritz K. Lehmann, Daniela Gurlin, Nima Pahlevan, Krista Alikas, Ted Conroy, Janet Anstee, Sundarabalan V. Balasubramanian, Claudio C. F. Barbosa, Caren Binding, Astrid Bracher, Mariano Bresciani, Ashley Burtner, Zhigang Cao, Arnold G. Dekker, Courtney Di Vittorio, Nathan Drayson, Reagan M. Errera, Virginia Fernandez, Dariusz Ficek, Cedric G. Fichot, Peter Gege, Claudia Giardino, Anatoly A. Gitelson, Steven R. Greb, Hayden Henderson, Hiroto Higa, Abolfazl Irani Rahaghi, Cedric Jamet, Dalin Jiang, Thomas Jordan, Kersti Kangro, Jeremy A. Kravitz, Arne S. Kristoffersen, Raphael Kudela, Lin Li, Martin Ligi, Hubert Loisel, Steven Lohrenz, Ronghua Ma, Daniel A. Maciel, Tim J. Malthus, Bunkei Matsushita, Mark Matthews, Camille Minaudo, Deepak R. Mishra, Sachidananda Mishra, Tim Moore, Wesley J. Moses, Ha Nguyen, Evlyn M. L. M. Novo, Stefani Novoa, Daniel Odermatt, David M. O'Donnell, Leif G. Olmanson, Michael Ondrusek, Natascha Oppelt, Sylvain Ouillon, Waterloo Pereira Filho, Stefan Plattner, Antonio Ruiz Verdu, Salem I. Salem, John F. Schalles, Stefan G. H. Simis, Eko Siswanto, Brandon Smith, Ian Somlai-Schweiger, Mariana A. Soppa, Evangelos Spyrakos, Elinor Tessin, Hendrik J. van der Woerd, Andrea Vander Woude, Ryan A. Vandermeulen, Vincent Vantrepotte, Marcel R. Wernand, Mortimer Werther, Kyana Young, Linwei Yue
Article
Multidisciplinary Sciences
Moritz K. Lehmann, Daniela Gurlin, Nima Pahlevan, Krista Alikas, Janet Anstee, Sundarabalan V. Balasubramanian, Claudio C. F. Barbosa, Caren Binding, Astrid Bracher, Mariano Bresciani, Ashley Burtner, Zhigang Cao, Arnold G. Dekker, Courtney Di Vittorio, Nathan Drayson, Reagan M. Errera, Virginia Fernandez, Dariusz Ficek, Cedric G. Fichot, Peter Gege, Claudia Giardino, Anatoly A. Gitelson, Steven R. Greb, Hayden Henderson, Hiroto Higa, Abolfazl Irani Rahaghi, Cedric Jamet, Dalin Jiang, Thomas Jordan, Kersti Kangro, Jeremy A. Kravitz, Arne S. Kristoffersen, Raphael Kudela, Lin Li, Martin Ligi, Hubert Loisel, Steven Lohrenz, Ronghua Ma, Daniel A. Maciel, Tim J. Malthus, Bunkei Matsushita, Mark Matthews, Camille Minaudo, Deepak R. Mishra, Sachidananda Mishra, Tim Moore, Wesley J. Moses, Ha Nguyen, Evlyn M. L. M. Novo, Stefani Novoa, Daniel Odermatt, David M. O'Donnell, Leif G. Olmanson, Michael Ondrusek, Natascha Oppelt, Sylvain Ouillon, Waterloo Pereira Filho, Stefan Plattner, Antonio Ruiz Verdu, Salem I. Salem, John F. Schalles, Stefan G. H. Simis, Eko Siswanto, Brandon Smith, Ian Somlai-Schweiger, Mariana A. Soppa, Evangelos Spyrakos, Elinor Tessin, Hendrik J. van der Woerd, Andrea Vander Woude, Ryan A. Vandermeulen, Vincent Vantrepotte, Marcel R. Wernand, Mortimer Werther, Kyana Young, Linwei Yue
Summary: The development of algorithms for remote sensing of water quality requires a large amount of in situ data to consider the bio-geo-optical diversity of inland and coastal waters. The GLORIA dataset includes 7,572 curated hyperspectral remote sensing reflectance measurements at 1 nm intervals within the 350 to 900 nm wavelength range, contributed by researchers affiliated with 59 institutions worldwide. This dataset provides a comprehensive reference for practitioners planning similar measurements and enables scientific and technological advancement towards operational regional and global water quality monitoring.
Letter
Limnology
Daniel Andrade Maciel, Nima Pahlevan, Claudio Clemente Faria Barbosa, Evlyn Marcia Leao de Moraes de Novo, Rejane Souza Paulino, Vitor Souza Martins, Eric Vermote, Christopher J. Crawford
Summary: The US Geological Survey Landsat surface reflectance (SR) archive, originally developed for terrestrial science, is increasingly being used in large-scale water-quality studies. However, these products have not been rigorously validated using in situ measured reflectance. This study quantifies and demonstrates the quality of the SR products using a global dataset (N = 1100). It found that the Landsat 8/9 SR in the green and red bands meet the accuracy requirements, but there are uncertainties and biases in the blue, coastal-aerosol, and visible bands that need to be addressed for advanced applications.
LIMNOLOGY AND OCEANOGRAPHY LETTERS
(2023)
Article
Environmental Sciences
Edson Filisbino Freire da Silva, Evlyn Marcia Leao de Moraes Novo, Felipe de Lucia Lobo, Claudio Clemente Faria Barbosa, Carolline Tressmann Cairo, Mauricio Almeida Noernberg, Luiz Henrique da Silva Rotta
Summary: This study utilizes a machine learning method to monitor Brazilian OWTs using Sentinel-2 MSI, achieving a classification accuracy of 0.94 based on field radiometric data simulation. The novelty detection in satellite images distinguishes between known and new OWTs, providing an expected accuracy of 0.78 considering errors retrieved from field measurements.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2021)
