Monitoring water quality in the coastal area of Tripoli (Lebanon) using high-resolution satellite data

Kabbara, N.; Benkhelil, J.; Awad, Mohamad M.; Vittorio, Barale

doi:10.1016/j.isprsjprs.2008.01.004

Cited by 79 publications

(42 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Mainly passive sensors are employed to assess water quality, clarity, and turbidity in related studies, including Landsat (Olmanson et al 2008;Zhao et al 2011;Kabbara et al 2008), Earth Observing 1 (EO-1) Advanced Land Imager (ALI) (Chen et al 2009), and SeaWiFS (Chen et al 2007). As a characteristic example, a 20-year archive of Landsat data was effective in providing correlations with field-measured Secchi Disk Depths (SDD) up to R 2 = 0.96, to characterize water clarity in Minnesota lakes, USA (Olmanson et al 2008).…”

Section: Provisioning Servicesmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

View full text Add to dashboard Cite

Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities.

show abstract

Section: Provisioning Servicesmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

View full text Add to dashboard Cite

show abstract

“…Then, they were georectified using second-order polynomial equations with the nearest neighbor method. Overall, both satellite images were associated with RMSE values of less than 0.5 pixels in this study (Vicente-Serrano et al 2008;Schroeder et al 2006;Kabbara et al 2008). …”

Section: Methodsmentioning

confidence: 53%

A comparison of radiometric correction techniques in the evaluation of the relationship between LST and NDVI in Landsat imagery

Tan

Lim

MatJafri

et al. 2011

Environ Monit Assess

View full text Add to dashboard Cite

Atmospheric corrections for multi-temporal optical satellite images are necessary, especially in change detection analyses, such as normalized difference vegetation index (NDVI) rationing. Abrupt change detection analysis using remote-sensing techniques requires radiometric congruity and atmospheric correction to monitor terrestrial surfaces over time. Two atmospheric correction methods were used for this study: relative radiometric normalization and the simplified method for atmospheric correction (SMAC) in the solar spectrum. A multi-temporal data set consisting of two sets of Landsat images from the period between 1991 and 2002 of Penang Island, Malaysia, was used to compare NDVI maps, which were generated using the proposed atmospheric correction methods. Land surface temperature (LST) was retrieved using ATCOR3_T in PCI Geomatica 10.1 image processing software. Linear regression analysis was utilized to analyze the relationship between NDVI and LST. This study reveals that both of the proposed atmospheric correction methods yielded high accuracy through examination of the linear correlation coefficients. To check for the accuracy of the equation obtained through linear regression analysis for every single satellite image, 20 points were randomly chosen. The results showed that the SMAC method yielded a constant value (in terms of error) to predict the NDVI value from linear regression analysis-derived equation. The errors (average) from both proposed atmospheric correction methods were less than 10%.

show abstract

“…The maps indicate that the Tripoli coastal area is exposed to moderate eutrophic conditions along most of its shoreline (in particular, along the northern stretch), in correspondence with fluvial and wastewater runoff sources. The Landsat 7 ETM+ data proved useful for the intended application, and will be used to start a national database on water quality in the Lebanese coastal environment [25].…”

Section: Remote Sensing Monitoring Of Ocean Colour (Primary Productiomentioning

confidence: 99%

Remote sensing in coastal water monitoring: Applications in the eastern Mediterranean Sea (IUPAC Technical Report)

Dassenakis

Paraskevopoulou

Cartalis

et al. 2011

Pure and Applied Chemistry

View full text Add to dashboard Cite

Remote sensing/satellite observation of land and oceans is a field of research that was developed during the second half of the 20 th century, and its importance is widely recognised because of the amount of information it can provide to the scientific community and the general public. The outcomes of remote sensing/satellite observation can be used to address and study significant aspects of environmental concern, such as habitat destruction, environmental degradation, forest fires, oil spills, and climate change. There is continuous improvement of the methods and means of remote sensing observations in order to achieve more accurate and useful information. The main advantage is the possibility of observing large areas, and the main disadvantage is that it can observe only the water and land surface. The present paper is an effort to review the technologies used in remote sensing and the general applications in a comprehensive manner addressed to scientists who do not specialize in this area of research. Furthermore, this paper reviews case studies/applications in the Mediterranean Sea, an area affected by various polluting activities (industrial cities, agriculture, shipping, etc.) that should be continuously monitored so that the coastal countries are able to successfully manage this sensitive environment.

show abstract

Monitoring water quality in the coastal area of Tripoli (Lebanon) using high-resolution satellite data

Cited by 79 publications

References 20 publications

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

A comparison of radiometric correction techniques in the evaluation of the relationship between LST and NDVI in Landsat imagery

Remote sensing in coastal water monitoring: Applications in the eastern Mediterranean Sea (IUPAC Technical Report)

Contact Info

Product

Resources

About