Cargando…

Multispectral Remote Sensing Utilization for Monitoring Chlorophyll-a Levels in Inland Water Bodies in Jordan

This study focuses on the utilization of multispectral satellite images for remote water-quality evaluation of inland water body in Jordan. The geophysical parameters based on water's optical properties, due to the presence of optically active constituents, are used to determine contaminant lev...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hussein, Nidal M., Assaf, Mohammed N.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428877/ https://www.ncbi.nlm.nih.gov/pubmed/32831806 http://dx.doi.org/10.1155/2020/5060969

Ejemplares similares

Multispectral Optical Remote Sensing for Water-Leak Detection
por: Krapez, Jean-Claude, et al.
Publicado: (2022)

Comparison of Two Water Color Algorithms: Implications for the Remote Sensing of Water Bodies with Moderate to High CDOM or Chlorophyll Levels
por: Burket, Martha Otte, et al.
Publicado: (2023)

Global remote sensing of water–chlorophyll ratio in terrestrial plant leaves
por: Kushida, Keiji
Publicado: (2012)

Monitoring Drought Stress in Common Bean Using Chlorophyll Fluorescence and Multispectral Imaging
por: Javornik, Tomislav, et al.
Publicado: (2023)

A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000–2018
por: Wang, Shenglei, et al.
Publicado: (2021)

Satellites for long-term monitoring of inland U.S. lakes: The MERIS time series and application for chlorophyll-a
por: Seegers, Bridget N., et al.
Publicado: (2021)

Multispectral Sensor Calibration and Characterization for sUAS Remote Sensing
por: Mamaghani, Baabak, et al.
Publicado: (2019)

Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing
por: Li, Jianfeng, et al.
Publicado: (2022)

A Method of High Throughput Monitoring Crop Physiology Using Chlorophyll Fluorescence and Multispectral Imaging
por: Wang, Heng, et al.
Publicado: (2018)

Exploring the potential value of satellite remote sensing to monitor chlorophyll-a for US lakes and reservoirs
por: Papenfus, Michael, et al.
Publicado: (2020)

Archeology of Inland Waters
por: Los Huertos, Marc
Publicado: (2020)

Tides in Inland Waters
Publicado: (1883)

ASPIS, A Flexible Multispectral System for Airborne Remote Sensing Environmental Applications
por: Papale, Dario, et al.
Publicado: (2008)

HPT: A High Spatial Resolution Multispectral Sensor for Microsatellite Remote Sensing
por: Kurihara, Junichi, et al.
Publicado: (2018)

Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks
por: Giannopoulos, Michalis, et al.
Publicado: (2020)

Research on Bathymetric Inversion Capability of Different Multispectral Remote Sensing Images in Seaports
por: Shen, Wei, et al.
Publicado: (2023)

Remote Sensing of Dispersed Oil Pollution in the Ocean—The Role of Chlorophyll Concentration
por: Haule, Kamila, et al.
Publicado: (2021)

Inversion of Winter Wheat Growth Parameters and Yield Under Different Water Treatments Based on UAV Multispectral Remote Sensing
por: Han, Xin, et al.
Publicado: (2021)

Temporal Variation of Chlorophyll-a Concentrations in Highly Dynamic Waters from Unattended Sensors and Remote Sensing Observations
por: Li, Jian, et al.
Publicado: (2018)

Remote Sensing Temporal Reconstruction of the Flooded Area in “Tablas de Daimiel” Inland Wetland 2000–2021
por: Pena-Regueiro, Jesús, et al.
Publicado: (2023)

Remote Sensing of Daytime Water Leaving Reflectances of Oceans and Large Inland Lakes from EPIC onboard the DSCOVR Spacecraft at Lagrange-1 Point
por: Gao, Bo-Cai, et al.
Publicado: (2019)

Decision Support System for Variable Rate Irrigation Based on UAV Multispectral Remote Sensing
por: Shi, Xiang, et al.
Publicado: (2019)

SIFSpec: Measuring Solar-Induced Chlorophyll Fluorescence Observations for Remote Sensing of Photosynthesis
por: Du, Shanshan, et al.
Publicado: (2019)

Biodiversity in land-inland water ecotones
Publicado: (1997)

Comparing Three Methods of Selecting Training Samples in Supervised Classification of Multispectral Remote Sensing Images
por: Zhang, Hongying, et al.
Publicado: (2023)

Nondestructive and intuitive determination of circadian chlorophyll rhythms in soybean leaves using multispectral imaging
por: Pan, Wen-Juan, et al.
Publicado: (2015)

Prediction of Chlorophyll Content in Multi-Temporal Winter Wheat Based on Multispectral and Machine Learning
por: Wang, Wei, et al.
Publicado: (2022)

Towards Synoptic Water Monitoring Systems: A Review of AI Methods for Automating Water Body Detection and Water Quality Monitoring Using Remote Sensing
por: Yang, Liping, et al.
Publicado: (2022)

Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing
por: Cao, Yingli, et al.
Publicado: (2020)

Experimental and Numerical Investigation of Dustfall Effect on Remote Sensing Retrieval Accuracy of Chlorophyll Content †
por: Ma, Baodong, et al.
Publicado: (2019)

Continuous Monitoring of Suspended Particulate Matter in Tropical Inland Waters by High-Frequency, Above-Water Radiometry
por: Borges, Henrique Dantas, et al.
Publicado: (2022)

Macrophytes in Inland Waters: From Knowledge to Management
por: Troia, Angelo
Publicado: (2023)

A Simple Semi-Automatic Approach for Land Cover Classification from Multispectral Remote Sensing Imagery
por: Jiang, Dong, et al.
Publicado: (2012)

Irradiance Restoration Based Shadow Compensation Approach for High Resolution Multispectral Satellite Remote Sensing Images
por: Han, Hongyin, et al.
Publicado: (2020)

Measurement Method Based on Multispectral Three-Dimensional Imaging for the Chlorophyll Contents of Greenhouse Tomato Plants
por: Sun, Guoxiang, et al.
Publicado: (2019)

Study on Average Housing Prices in the Inland Capital Cities of China by Night-time Light Remote Sensing and Official Statistics Data
por: Li, Chang, et al.
Publicado: (2020)

A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning †
por: Silveira Kupssinskü, Lucas, et al.
Publicado: (2020)

Multispectral, Fluorescent and Photoplethysmographic Imaging for Remote Skin Assessment
por: Spigulis, Janis
Publicado: (2017)

Remote sensing and water resources
por: Cazenave, A, et al.
Publicado: (2016)

Effective Key Parameter Determination for an Automatic Approach to Land Cover Classification Based on Multispectral Remote Sensing Imagery
por: Wang, Yong, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_ieju2l7l6g52rmku0f3tt4dcei