☆ 4.7 Review

Remote Sensing Big Data for Water Environment Monitoring: Current Status, Challenges, and Future Prospects

EARTHS FUTURE (2022)

Related references

Note: Only part of the references are listed.

Article Oceanography

Spatial downscaling of MODIS Chlorophyll-a with machine learning techniques over the west coast of the Yellow Sea in South Korea

Hamid Mohebzadeh et al.

Summary: This study explored the downsclaing of MODIS Chl-a data using machine learning models. Results showed that support vector regression and 2nd degree polynomial regression performed best in different seasons, while long short-term memory model exhibited the lowest sensitivity to changes in variables.

JOURNAL OF OCEANOGRAPHY (2021)

Add to Collection

Article Environmental Sciences

Early twenty-first century satellite-driven irrigation performance in the world's largest system: Pakistan's Indus Basin irrigated system

Jorge L. Pena-Arancibia et al.

Summary: This study evaluates the year-to-year inter-seasonal irrigation performance in 46 canal commands in the Indus Basin irrigated system using satellite-driven actual evapotranspiration estimates. Results show that canal commands with access to groundwater exhibit more equity and less inter-seasonal variability compared to those reliant on surface water supplies. Additionally, canal commands mostly show slightly increasing ETa and low inter-seasonal variability in both irrigation seasons, except for two canal commands at the system-end which exhibit higher variability and inequity.

ENVIRONMENTAL RESEARCH LETTERS (2021)

Add to Collection

Article Agronomy

On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient

Yun Bai et al.

Summary: A study developed four machine learning-based ensemble ET models, which showed better accuracy and efficiency in simulating large-scale cropland evapotranspiration compared to traditional ensemble methods and individual models.

AGRICULTURAL AND FOREST METEOROLOGY (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

New activation functions for single layer feedforward neural network

Yilmaz Kocak et al.

Summary: This study aims to introduce new activation functions that combine the advantages of predefined activation functions to improve the performance of artificial neural networks. Researchers proposed several new activation functions and compared them with existing ones, using four different datasets to evaluate their performance.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Add to Collection

Article Geography, Physical

A novel surface water index using local background information for long term and large-scale Landsat images

Linrong Li et al.

Summary: This study focuses on improving the accuracy of water extraction using remote sensing images by introducing contrast difference water index (CDWI) and shadow difference water index (SDWI) in comparison to the modified normalized difference water index (MNDWI). By combining the advantages of CDWI and SDWI, a background difference water index (BDWI) is proposed to extract surface water under complex backgrounds. The results show that BDWI outperforms other methods in accuracy and stability, especially in areas with varying backgrounds such as urban and non-urban regions.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)

Add to Collection

Article Physics, Multidisciplinary

Hidden unit specialization in layered neural networks: ReLU vs. sigmoidal activation

Elisa Oostwal et al.

Summary: Using concepts from the statistical physics of learning, the study focused on layered neural networks with rectified linear units (ReLU) and compared their training behavior with networks using sigmoid activations. The results revealed qualitative differences in the training behavior between ReLU and sigmoid networks. While sigmoid networks exhibited discontinuous transitions with specialized configurations coexisting and competing, ReLU networks showed continuous transitions for all hidden unit numbers. The findings were confirmed through Monte Carlo simulations of the training processes.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2021)

Add to Collection

Article Environmental Sciences

Satellite InSAR survey of structurally-controlled land subsidence due to groundwater exploitation in the Aguascalientes Valley, Mexico

Francesca Cigna et al.

Summary: In response to the increasing water demands in expanding cities, many aquifers in Mexico, particularly in the Aguascalientes Valley, are being overexploited and deplete, resulting in land subsidence, ground faulting, and damage to infrastructure. This study, utilizing the longest SAR survey conducted in the Aguascalientes Valley, analyzed the structurally-controlled subsidence process and associated risks. The research revealed a pattern of subsidence linked to alluvial/fluvial deposits, with maximum settlement rates increasing over time. The study also identified previously unknown deformation patterns and zones of strain, providing valuable insights for subsidence risk assessment and urban planning in the region.

REMOTE SENSING OF ENVIRONMENT (2021)

Add to Collection

Article Environmental Sciences

Application of Deep Learning for Speckle Removal in GOCI Chlorophyll-a Concentration Images (2012-2017)

Ji-Eun Park et al.

Summary: This study introduced a new method for processing chlorophyll-a concentration images by using a deep neural network (DNN) algorithm, which achieved better results compared to traditional median filter and threshold schemes. After processing, the quality of chlorophyll-a data was significantly improved, making it suitable for investigating both long-term and short-term bio-physical processes in the ocean.

REMOTE SENSING (2021)

Add to Collection

Article Geosciences, Multidisciplinary

Predicting Ground Vibrations Due to Mine Blasting Using a Novel Artificial Neural Network-Based Cuckoo Search Optimization

Xuan-Nam Bui et al.

Summary: The study aimed to predict the intensity of ground vibration induced by mine blasting operations to reduce severe damages to the surroundings. A novel CSO-ANN model was proposed and validated based on 118 blasting events, showing that the CSO algorithm significantly improved the performance of the ANN model.

NATURAL RESOURCES RESEARCH (2021)

Add to Collection

Article Environmental Sciences

Assessment and Comparison of Six Machine Learning Models in Estimating Evapotranspiration over Croplands Using Remote Sensing and Meteorological Factors

Yan Liu et al.

Summary: Accurate estimates of evapotranspiration (ET) over croplands on a regional scale contribute to agricultural management. Hybrid ET models combining the physical framework of the Penman-Monteith equation and various machine learning (ML) algorithms have shown effectiveness. Among the different ML algorithms, the artificial neural network (ANN) based model exhibited optimal performance in daily ET estimation, with lower RMSE and higher correlation coefficients compared to other algorithms.

REMOTE SENSING (2021)

Add to Collection

Article Geochemistry & Geophysics

Vicarious Calibration for the AHSI Instrument of Gaofen-5 With Reference to the CRCS Dunhuang Test Site

Kun Tan et al.

Summary: The article presents a reflectance-based vicarious calibration approach for the visible-shortwave infrared Advanced Hyperspectral Imager (AHSI), utilizing surface reflectance data, aerosol data, and atmospheric water vapor data from the Dunhuang test site. The calibrated AHSI instrument shows stable radiometric performance among different land-cover types, with ratios on all bands between 0.8 and 1.2, R-2 values greater than 0.95, and standard deviations of ratios less than 3%, demonstrating high consistency and accuracy with in situ measurements. Comparisons with Landsat 8 and Sentinel-2 also indicate mean errors of surface reflectance under 0.06, further confirming the high accuracy of the calibrated reflectance.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Add to Collection

Article Environmental Sciences

Sentinel-1 and Sentinel-2 data fusion system for surface water extraction

Mostafa Saghafi et al.

Summary: A remote sensing multisensor fusion system is proposed to improve surface water extraction, demonstrating the potential of this technology in water body extraction.

JOURNAL OF APPLIED REMOTE SENSING (2021)

Add to Collection

Article Environmental Sciences

Remote sensing of CDOM and DOC in alpine lakes across the Qinghai-Tibet Plateau using Sentinel-2A imagery data

Ge Liu et al.

Summary: As important components of dissolved organic matter (DOM) in an aquatic environment, colored DOM (CDOM) and dissolved organic carbon (DOC) play an essential role in the carbon cycle of inland aquatic systems. This study used optical satellite remote sensing to examine the relationships between CDOM and DOC in lakes on the Qinghai-Tibet Plateau and showed strong correlations between CDOM absorption coefficient at 350 nm and Sentinel-2A Multi Spectral Instrument (MSI) imagery reflectance data. The study also revealed significant differences in CDOM and DOC concentrations between fresh and saline waters in the Tibetan Plateau, emphasizing the importance of combining salinity and remote sensing data for estimating lake DOC.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)

Add to Collection

Article Environmental Sciences

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

Wenzhe Jiao et al.

Summary: Satellite based remote sensing technology offers unique benefits in monitoring drought from multiple perspectives, providing continuous long-term drought information, improving modeling accuracy, and enhancing drought monitoring and assessment efforts. Utilizing multi-sensor remote sensing is crucial for understanding drought-related phenomena and mechanisms, and further advancing our knowledge and characterization of drought in the future.

REMOTE SENSING OF ENVIRONMENT (2021)

Add to Collection

Article Environmental Sciences

A Submonthly Surface Water Classification Framework via Gap-Fill Imputation and Random Forest Classifiers of Landsat Imagery

Charles Labuzzetta et al.

Summary: The SWIM classification framework improves water classification accuracy and temporal frequency by utilizing global surface water classification layers and locally trained classifiers. Novel contributions include a cluster-based algorithm for improved sensitivity, gap-filling methods for higher temporal frequency, and outlier detection for identifying classification errors. Validation and case studies demonstrate SWIM outperforms existing datasets in spatiotemporal analyses of small waterbody dynamics.

REMOTE SENSING (2021)

Add to Collection

Article Environmental Sciences

Challenges in Reconciling Satellite-Based and Locally Reported Estimates of Wetland Change: A Case of Topographically Constrained Wetlands on the Eastern Tibetan Plateau

Jianing Fang et al.

Summary: A study on topographically constrained wetlands on the Eastern Tibetan Plateau found discrepancies between local observations and satellite data, with meteorological records showing warming-induced increase in reference evapotranspiration, potentially leading to longer growing seasons and increased water demand driving wetland change.

REMOTE SENSING (2021)

Add to Collection

Article Environmental Sciences

Assessment of Water Quality Along the Southeast Coast of India During COVID-19 Lockdown

K. Vijay Prakash et al.

Summary: The stringent lockdown in India due to the COVID-19 pandemic led to a decrease in suspended matter and particulate matter concentrations in the coastal waters near Chennai, improving water quality in the region.

FRONTIERS IN MARINE SCIENCE (2021)

Add to Collection

Review Environmental Sciences

An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions

Zaher Mundher Yaseen

Summary: The development of computer aid models for heavy metals simulation has made remarkable progress over the past two decades. Despite the significant advancement in modeling HMs via machine learning, attention to data and methodological aspects is still needed to enhance accuracy and application prospects of the models.

CHEMOSPHERE (2021)

Add to Collection

Article Biodiversity Conservation

Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm

Man Liu et al.

Summary: The study showed that the DeepLabV3 Plus model better identified marsh vegetation, but there were significant differences in the classification accuracy of the 12 intelligent identification models. As the spatial resolution improved, the accuracy of deep-water marsh vegetation classification gradually increased. However, for shallow-water marsh vegetation, the classification accuracy decreased after reaching a certain level of improvement in spatial resolution.

ECOLOGICAL INDICATORS (2021)

Add to Collection

Article Ecology

Application of hyperspectral analysis of chlorophyll a concentration inversion in Nansi Lake

Yu Cui et al.

Summary: Chlorophyll-a (Chl-a) is an essential water quality safety evaluation index, and accurate monitoring of its concentration is crucial for various applications. This study successfully used the EMD method for spectral processing of water bodies to obtain optimal parameters for Chl-a concentration inversion, achieving better results. XGBoost proved to have the highest estimation accuracy among the models used, followed by PLSR and linear models.

ECOLOGICAL INFORMATICS (2021)

Add to Collection

Article Geography, Physical

Estimating evapotranspiration based on the satellite-retrieved near-infrared reflectance of vegetation (NIRv) over croplands

Lili Tang et al.

Summary: This study introduced two simply formulated semi-empirical models (PM+ and uWUE+) utilizing the near-infrared reflectance of vegetation for estimating cropland evapotranspiration. The results showed that these new models can reasonably estimate cropland ET and outperform many existing complex models in various aspects.

GISCIENCE & REMOTE SENSING (2021)

Add to Collection

Article Remote Sensing

Process-oriented estimation of column-integrated algal biomass in eutrophic lakes by MODIS/Aqua

Dong Liu et al.

Summary: A novel process-oriented algorithm for remotely estimating algal biomass in Lake Chaohu, China was proposed and successfully applied. The study found significant variations in monthly and annual mean algal biomass, influenced primarily by seasonal variations in air temperature and annual variations in ammonia nitrogen level. The developed algorithm was also applicable to eutrophic Lake Taihu, China, making it of great significance for scientifically assessing water quality and effectively managing aquatic environmental disasters.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Add to Collection

Article Environmental Sciences

Functionalization of remote sensing and on-site data for simulating surface water dissolved oxygen: Development of hybrid tree-based artificial intelligence models

Tiyasha Tiyasha et al.

Summary: The study evaluates the reliability of four feature selector algorithms and compares four tree-based predictive models to predict changes in dissolved oxygen in the Klang River, Malaysia. Among the predictive models, XGBoost performed the best, followed by MARS, while the Boruta-XGBoost model showed weaker performance.

MARINE POLLUTION BULLETIN (2021)

Add to Collection

Article Engineering, Environmental

Comparing the performance of machine learning algorithms for remote and in situ estimations of chlorophyll-a content: A case study in the Tri An Reservoir, Vietnam

Hao Quang Nguyen et al.

Summary: The study evaluated the performance of five machine learning models for predicting Chl-a concentration in the Tri An Reservoir, Vietnam, with Gaussian process and CatBoost proving to be the most reliable models.

WATER ENVIRONMENT RESEARCH (2021)

Add to Collection

Article Environmental Sciences

Remote Sensing-Based Quantification of the Summer Maize Yield Gap Induced by Suboptimum Sowing Dates over North China Plain

Sha Zhang et al.

Summary: This study developed a new method to estimate the yield potential and quantify the contribution of suboptimum field managements to the yield gap of summer maize in North China Plain using a remote sensing vegetation index time series. The results showed that the new method provided reasonable estimates for maize yield on a regional scale and highlighted the importance of accurate field management information for improving crop yield effectively.

REMOTE SENSING (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Remote Sensing Estimation of Chlorophyll-A in Case-II Waters of Coastal Areas: Three-Band Model Versus Genetic Algorithm-Artificial Neural Networks Model

Jinyue Chen et al.

Summary: A machine learning method utilizing genetic algorithm and artificial neural networks was developed to retrieve chlorophyll-a concentration, showing high accuracy in measuring data from both reservoirs and coastal waters. The integrated approach outperformed traditional three-band models in estimating chlorophyll-a concentration in marine and coastal waters.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Add to Collection

Article Ecology

The oasis regional small and medium lake water transparency monitoring research and impact factor analysis based on field data combined with high resolution GF-1 satellite data

Zhenghu Ma et al.

Summary: Water transparency is an essential parameter for assessing water quality of water bodies like rivers, lakes, and wetlands. By measuring water quality data and using GF-1 image data, a remote sensing estimation model was developed to study the water transparency of Shahu Lake, China. The model indicated that water transparency in different regions of the lake varied due to factors like water quality index, tourism activities, ecological hydration, and distribution of reeds.

JOURNAL OF FRESHWATER ECOLOGY (2021)

Add to Collection

Article Geography, Physical

Big Earth data: disruptive changes in Earth observation data management and analysis?

Martin Sudmanns et al.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2020)

Add to Collection

Article Environmental Sciences

Remote sensing estimation of colored dissolved organic matter (CDOM) from GOCI measurements in the Bohai Sea and Yellow Sea

Zunbin Ling et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2020)

Add to Collection

Article Engineering, Civil

Modification and validation of the SWAT model based on multi-plant growth mode, a case study of the Meijiang River Basin, China

Geying Lai et al.

JOURNAL OF HYDROLOGY (2020)

Add to Collection

Article Engineering, Civil

Spatial-temporal process simulation and prediction of chlorophyll-a concentration in Dianchi Lake based on wavelet analysis and long-short term memory network

Zhenyu Yu et al.

JOURNAL OF HYDROLOGY (2020)

Add to Collection

Article Environmental Sciences

Application of Sentinel 3 OLCI for chl-a retrieval over small inland water targets: Successes and challenges

Jeremy Kravitz et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Environmental Sciences

Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach

Nima Pahlevan et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Environmental Sciences

Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas

Behnaz Arabi et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Environmental Sciences

An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters

Ge Liu et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Environmental Sciences

Multiplatform Earth Observation Systems for Monitoring Water Quality in Vulnerable Inland Ecosystems: Maspalomas Water Lagoon

Francisco Eugenio et al.

REMOTE SENSING (2020)

Add to Collection

Article Geochemistry & Geophysics

Group Self-Paced Learning With a Time-Varying Regularizer for Unsupervised Change Detection

Maoguo Gong et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2020)

Add to Collection

Article Ecology

Spatiotemporal variations of total suspended matter in complex archipelagic regions using a sigmoid model and Landsat-8 imagery

Weining Zhu et al.

REGIONAL STUDIES IN MARINE SCIENCE (2020)

Add to Collection

Review Geosciences, Multidisciplinary

Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing

Vasit Sagan et al.

EARTH-SCIENCE REVIEWS (2020)

Add to Collection

Review Geography, Physical

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

Haifa Tamiminia et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)

Add to Collection

Article Computer Science, Interdisciplinary Applications

River flow sequence feature extraction and prediction using an enhanced sparse autoencoder

Lipeng Qian et al.

JOURNAL OF HYDROINFORMATICS (2020)

Add to Collection

Article Environmental Sciences

Quantification of lake clarity in China using Landsat OLI imagery data

Kaishan Song et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Multidisciplinary Sciences

Gainers and losers of surface and terrestrial water resources in China during 1989-2016

Xinxin Wang et al.

NATURE COMMUNICATIONS (2020)

Add to Collection

Article Environmental Sciences

Sampling Uncertainties of Long-Term Remote-Sensing Suspended Sediments Monitoring over China's Seas: Impacts of Cloud Coverage and Sediment Variations

Liqiao Tian et al.

REMOTE SENSING (2020)

Add to Collection

Article Environmental Sciences

Towards Monitoring of Nutrient Pollution in Coastal Lake Using Remote Sensing and Regression Analysis

Maruf Mortula et al.

WATER (2020)

Add to Collection

Article Engineering, Civil

Estimation of glacier mass loss and its contribution to river runoff in the source region of the Yangtze River during 2000-2018

Lin Liu et al.

JOURNAL OF HYDROLOGY (2020)

Add to Collection

Article Environmental Sciences

A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes

Zhigang Cao et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Environmental Sciences

Landsat 9: Empowering open science and applications through continuity

Jeffrey G. Masek et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Environmental Sciences

A Combined Machine Learning and Residual Analysis Approach for Improved Retrieval of Shallow Bathymetry from Hyperspectral Imagery and Sparse Ground Truth Data

Evangelos Alevizos

REMOTE SENSING (2020)

Add to Collection

Article Environmental Sciences

Performance across WorldView-2 and RapidEye for reproducible seagrass mapping

Megan M. Coffer et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Add to Collection

Article Chemistry, Analytical

Remote Sensing Evaluation of Total Suspended Solids Dynamic with Markov Model: A Case Study of Inland Reservoir across Administrative Boundary in South China

Jing Zhao et al.

SENSORS (2020)

Add to Collection

Article Environmental Sciences

Turbidity Estimation from GOCI Satellite Data in the Turbid Estuaries of China's Coast

Jiangang Feng et al.

REMOTE SENSING (2020)

Add to Collection

Review Engineering, Electrical & Electronic

Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review

Meisam Amani et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)

Add to Collection

Article Remote Sensing

Evaluation of C-Band SAR for Identification of Flooded Vegetation in Emergency Response Products

Brian Brisco et al.

CANADIAN JOURNAL OF REMOTE SENSING (2019)

Add to Collection

Review Environmental Sciences

How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions

Alexander Y. Sun et al.

ENVIRONMENTAL RESEARCH LETTERS (2019)

Add to Collection

Article Environmental Sciences

Geometric Processing and Accuracy Verification of Zhuhai-1 Hyperspectral Satellites

Yonghua Jiang et al.

REMOTE SENSING (2019)

Add to Collection

Article Environmental Sciences

Satellite Derived Bathymetry Using Machine Learning and Multi-Temporal Satellite Images

Tatsuyuki Sagawa et al.

REMOTE SENSING (2019)

Add to Collection

Article Biodiversity Conservation

Predicting spatial patterns of wildfire susceptibility in the Huichang County, China: An integrated model to analysis of landscape indicators

Haoyuan Hong et al.

ECOLOGICAL INDICATORS (2019)

Add to Collection

Article Forestry

Combining Global Remote Sensing Products with Hydrological Modeling to Measure the Impact of Tropical Forest Loss on Water-Based Ecosystem Services

Michael S. Netzer et al.

FORESTS (2019)

Add to Collection

Article Environmental Sciences

A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types

C. Neil et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Add to Collection

Article Environmental Sciences

The Influence of Signal to Noise Ratio of Legacy Airborne and Satellite Sensors for Simulating Next-Generation Coastal and Inland Water Products

Raphael M. Kudela et al.

REMOTE SENSING (2019)

Add to Collection

Article Environmental Sciences

High-Resolution Sea Surface Temperature and Salinity in Coastal Areas Worldwide from Raw Satellite Data

Encarni Medina-Lopez et al.

REMOTE SENSING (2019)

Add to Collection

Article Oceanography

Phytoplankton Diversity in the Mediterranean Sea From Satellite Data Using Self-Organizing Maps

Roy El Hourany et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2019)

Add to Collection

Article Environmental Sciences

Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities

William K. Smith et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Add to Collection

Article Environmental Sciences

Continuous monitoring of lake dynamics on the Mongolian Plateau using all available Landsat imagery and Google Earth Engine

Yan Zhou et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

Add to Collection

Article Environmental Sciences

Effect of Satellite Temporal Resolution on Long-Term Suspended Particulate Matter in Inland Lakes

Zhigang Cao et al.

REMOTE SENSING (2019)

Add to Collection

Article Geosciences, Multidisciplinary

Land cover classification analysis of volcanic island in Aleutian Arc using an artificial neural network (ANN) and a support vector machine (SVM) from Landsat imagery

Prima Riza Kadavi et al.

GEOSCIENCES JOURNAL (2018)

Add to Collection

Article Remote Sensing

Estimation of total phosphorus concentration using a water classification method in inland water

Chenggong Du et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)

Add to Collection

Article Remote Sensing

Remote sensing techniques to predict salinity intrusion: application for a data-poor area of the coastal Mekong Delta, Vietnam

Phuong T. B. Nguyen et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2018)

Add to Collection

Article Environmental Sciences

Landsat TM/ETM+ and machine-learning algorithms for limnological studies and algal bloom management of inland lakes

Shengpan Lin et al.

JOURNAL OF APPLIED REMOTE SENSING (2018)

Add to Collection

Article Environmental Sciences

Quantifying CDOM and DOC in major Arctic rivers during ice-free conditions using Landsat TM and ETM plus data

C. G. Griffin et al.

REMOTE SENSING OF ENVIRONMENT (2018)

Add to Collection

Article Environmental Sciences

Spectral matching based on discrete particle swarm optimization: A new method for terrestrial water body extraction using multi-temporal Landsat 8 images

Kai Jia et al.

REMOTE SENSING OF ENVIRONMENT (2018)

Add to Collection

Article Environmental Sciences

The spatial and temporal variation of total suspended solid concentration in Pearl River Estuary during 1987-2015 based on remote sensing

Chongyang Wang et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2018)

Add to Collection

Article Environmental Sciences

Estimating Satellite-Derived Bathymetry (SDB) with the Google Earth Engine and Sentinel-2

Dimosthenis Traganos et al.

REMOTE SENSING (2018)

Add to Collection

Article Environmental Sciences

A CNN-Based Fusion Method for Feature Extraction from Sentinel Data

Giuseppe Scarpa et al.

REMOTE SENSING (2018)

Add to Collection

Article Environmental Sciences

Estimation of chlorophyll a content in inland turbidity waters using WorldView-2 imagery: a case study of the Guanting Reservoir, Beijing, China

Xing Wang et al.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2018)

Add to Collection

Review Geography, Physical

Applications and impacts of Google Earth: A decadal review (2006-2016)

Jianming Liang et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Add to Collection

Article Environmental Sciences

Construction of the 500-m Resolution Daily Global Surface Water Change Database (2001-2016)

Luyan Ji et al.

WATER RESOURCES RESEARCH (2018)

Add to Collection

Article Geosciences, Multidisciplinary

Color and temperature of the crater lakes at Kelimutu volcano through time

Sam Murphy et al.

BULLETIN OF VOLCANOLOGY (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Extraction of Glacial Lake Outlines in Tibet Plateau Using Landsat 8 Imagery and Google Earth Engine

Fang Chen et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)

Add to Collection

Article Geography, Physical

Remote estimation of Kd (PAR) using MODIS and Landsat imagery for turbid inland waters in Northeast China

Kaishan Song et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)

Add to Collection

Article Environmental Sciences

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Add to Collection

Article Oceanography

Requirement of minimal signal-to-noise ratios of ocean color sensors and uncertainties of ocean color products

Lin Qi et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2017)

Add to Collection

Article Geosciences, Multidisciplinary

A Landsat-based model for retrieving total suspended solids concentration of estuaries and coasts in China

Chongyang Wang et al.

GEOSCIENTIFIC MODEL DEVELOPMENT (2017)

Add to Collection

Article Geosciences, Multidisciplinary

The future of Earth observation in hydrology

Matthew F. McCabe et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2017)

Add to Collection

Review Biodiversity Conservation

Remote sensing for lake research and monitoring - Recent advances

Katja Doernhoefer et al.

ECOLOGICAL INDICATORS (2016)

Add to Collection

Review Geography, Physical

A survey on object detection in optical remote sensing images

Gong Cheng et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)

Add to Collection

Article Multidisciplinary Sciences

High-resolution mapping of global surface water and its long-term changes

Jean-Francois Pekel et al.

NATURE (2016)

Add to Collection

Article Environmental Sciences

Comparing Landsat water index methods for automated water classification in eastern Australia

Adrian Fisher et al.

REMOTE SENSING OF ENVIRONMENT (2016)

Add to Collection

Article Environmental Sciences

Surface water extent dynamics from three decades of seasonally continuous Landsat time series at subcontinental scale in a semi-arid region

Mirela G. Tulbure et al.

REMOTE SENSING OF ENVIRONMENT (2016)

Add to Collection

Article Computer Science, Theory & Methods

Remote sensing big data computing: Challenges and opportunities

Yan Ma et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2015)

Add to Collection

Article Geosciences, Multidisciplinary

Signature analysis of satellite derived SSHa, SST and chlorophyll concentration and their linkage with marine fishery resources

H. U. Solanki et al.

JOURNAL OF MARINE SYSTEMS (2015)

Add to Collection

Article Environmental Sciences

Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach

Yuhao Yang et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Add to Collection

Article Environmental Sciences

Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations

Jiangyuan Zeng et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Add to Collection

Article Engineering, Environmental

Assimilation of satellite data to 3D hydrodynamic model of Lake Sakylan Pyhajarvi

Akiko Mano et al.

WATER SCIENCE AND TECHNOLOGY (2015)

Add to Collection

Article Environmental Sciences

Hydrodynamic and Inundation Modeling of China's Largest Freshwater Lake Aided by Remote Sensing Data

Peng Zhang et al.

REMOTE SENSING (2015)

Add to Collection

Article Environmental Sciences

Empirical Estimation of Total Nitrogen and Total Phosphorus Concentration of Urban Water Bodies in China Using High Resolution IKONOS Multispectral Imagery

Jiaming Liu et al.

WATER (2015)

Add to Collection

Article Geochemistry & Geophysics

Using Partial Least Squares-Artificial Neural Network for Inversion of Inland Water Chlorophyll-a

Kaishan Song et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)

Add to Collection

Article Environmental Sciences

Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery

Gudina L. Feyisa et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Add to Collection

Article Environmental Sciences

Improving Sediment Transport Prediction by Assimilating Satellite Images in a Tidal Bay Model of Hong Kong

Peng Zhang et al.

WATER (2014)

Add to Collection

Article Environmental Sciences

Hindcasting water clarity from Landsat satellite images of unmonitored shallow lakes in the Waikato region, New Zealand

Brendan J. Hicks et al.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2013)

Add to Collection

Article Geosciences, Multidisciplinary

GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas

Di Long et al.

GEOPHYSICAL RESEARCH LETTERS (2013)

Add to Collection

Article Geography, Physical

An approach for developing Landsat-5 TM-based retrieval models of suspended particulate matter concentration with the assistance of MODIS

Guofeng Wu et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)

Add to Collection

Article Environmental Sciences

Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model

Kaishan Song et al.

REMOTE SENSING OF ENVIRONMENT (2013)

Add to Collection

Article Environmental Sciences

Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground-based measurements

Wei Feng et al.

WATER RESOURCES RESEARCH (2013)

Add to Collection

Article Multidisciplinary Sciences

Next-generation Digital Earth

Michael F. Goodchild et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)

Add to Collection

Article Environmental Sciences

Hyperspectral determination of eutrophication for a water supply source via genetic algorithm-partial least squares (GA-PLS) modeling

Kaishan Song et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2012)

Add to Collection

Article Marine & Freshwater Biology

Evaluation of GOCI sensitivity for At-Sensor radiance and GDPS-Retrieved chlorophyll-a products

Chuanmin Hu et al.

Ocean Science Journal (2012)

Add to Collection

Proceedings Paper Engineering, Electrical & Electronic

SENTINEL-2 LEVEL 1 PRODUCTS AND IMAGE PROCESSING PERFORMANCES

S. J. Baillarin et al.

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) (2012)

Add to Collection

Article Engineering, Aerospace

SOLS: A lake database to monitor in the Near Real Time water level and storage variations from remote sensing data

J. -F. Cretaux et al.

ADVANCES IN SPACE RESEARCH (2011)

Add to Collection

Article Geography, Physical

Evaluation of a three-band model for estimating chlorophyll-a concentration in tidal reaches of the Pearl River Estuary, China

Shuisen Chen et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)

Add to Collection

Article Environmental Sciences

Remote estimation of chlorophyll a in optically complex waters based on optical classification

Chengfeng Le et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Add to Collection

Article Environmental Sciences

Gravity Recovery and Climate Experiment (GRACE) detection of water storage changes in the Three Gorges Reservoir of China and comparison with in situ measurements

Xianwei Wang et al.

WATER RESOURCES RESEARCH (2011)

Add to Collection

Article Remote Sensing

Coupling remote sensing retrieval with numerical simulation for SPM study-Taking Bohai Sea in China as a case

Xiaoling Chen et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2010)

Add to Collection

Article Optics

A vector radiative transfer model of coupled ocean-atmosphere system using matrix-operator method for rough sea-surface

Xianqiang He et al.

JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER (2010)

Add to Collection

Article Environmental Sciences

Determination of chlorophyll-a amount in Golden Horn, Istanbul, Turkey using IKONOS and in situ data

C. Ormeci et al.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2009)

Add to Collection

Article Environmental Sciences

A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes: The case of Taihu Lake, China

Chengfeng Le et al.

REMOTE SENSING OF ENVIRONMENT (2009)

Add to Collection

Article Environmental Sciences

A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters:: Validation

Anatoly A. Gitelson et al.

REMOTE SENSING OF ENVIRONMENT (2008)

Add to Collection

Article Remote Sensing

Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery

Hanqiu Xu

INTERNATIONAL JOURNAL OF REMOTE SENSING (2006)

Add to Collection

Article Optics

Effect of bio-optical parameter variability and uncertainties in reflectance measurements on the remote estimation of chlorophyll-a concentration in turbid productive waters: modeling results

Giorgio Dall'Olmo et al.

APPLIED OPTICS (2006)

Add to Collection

Article Oceanography

Synergy of satellite remote sensing and numerical modeling for monitoring of suspended particulate matter

A Pleskachevsky et al.

OCEAN DYNAMICS (2005)

Add to Collection

Article Environmental Sciences

Absorption spectrum of phytoplankton pigments derived from hyperspectral remote-sensing reflectance

ZP Lee et al.

REMOTE SENSING OF ENVIRONMENT (2004)

Add to Collection

Article Oceanography

Integration of multi-source data for water quality classification in the Pearl River estuary and its adjacent coastal waters of Hong Kong

XL Chen et al.

CONTINENTAL SHELF RESEARCH (2004)

Add to Collection

Article Environmental Sciences

Water quality change in reservoirs of Shenzhen, China: detection using LANDSAT/TM data

YP Wang et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2004)

Add to Collection

Article Environmental Sciences

IKONOS satellite, imagery, and products

G Dial et al.

REMOTE SENSING OF ENVIRONMENT (2003)

Add to Collection

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Add to Collection

© Peeref 2019-2024. All rights reserved.