Application of hyperspectral remotely sensed data for water quality monitoring Southland

application of hyperspectral remotely sensed data for water quality monitoring

Remote Sensing of Environment Impact/Purpose: This study proves that the Hyperspectral Imager for the Coastal Ocean (HICO) on the International Space Station (ISS) can successfully provide water quality data for environmental monitoring and assessments of biological condition in coastal and estuarine systems.

Advanced Remote Sensing Research USGS

Multispectral and hyperspectral remote sensing for. Aug 31, 2011В В· Existing soil and water quality monitoring data from these established experimental watersheds, as well as direct sampling and new experimentation, will be used to support testing. CVI scientist will acquire and process remotely sensed data (e.g., LiDAR and hyperspectral)., radiation monitoring, urban planning, growth regulation, soil assessment, and crop yield appraisal [1]. Generally, remote sensing offers imperative coverage, mapping and classification of land-cover features, namely vegetation, soil, water and forests. A principal application of remotely sensed data is to create a classification map of.

Remote sensing is a valuable tool for monitoring water quality parameters in inland and coastal waters. The prime objective of present research was to investigate the accuracy and limitations of hyperspectral remotely sensed data for water quality monitoring. seasonal distribution and concentration of suspended sediment in the water bodies. Key words: Suspended sediment monitoring, remotely sensed data, NIR, Landsat TM , SPOT 1- INTRODUCTION Water resources & environmental management is essential for sustaining quality of life on earth. Most of the

Total suspended solid (TSS) is an important water quality parameter. This study was conducted to test the feasibility of the band combination of hyperspectral sensing for inland turbid water monitoring in Taiwan. The field spectral reflectance in the Wu river basin of Taiwan was measured with a spectroradiometer; the water samples were collected from the different sites of the Wu river basin It has also been established that hyperspectral imagers permit an improved recognition of chlorophyll and hereafter algae, due to acquired narrow spectral bands between 450 nm and 600 nm. We start by describing the practical application of hyperspectral remote sensing data in water quality modeling.

The Hyperspectral Imager for the Coastal Ocean (HICO) offers the coastal environmental monitoring community an unprecedented opportunity to observe changes in coastal and estuarine water quality across a range of spatial scales not feasible with traditional field-based monitoring or existing ocean color satellites. HICO, an Office of Naval Research sponsored program, is the first space-based acquiring data remotely for many years (Landgrebe, 1999) and are viewed as a time- and cost-effective way to undertake large-scale monitoring (Okin et al., 2001), which can be used to deter-mine the quality, quantity and geographic distribution of this resource. Multispectral imagery has been used as the data source for water and land

Total suspended solid (TSS) is an important water quality parameter. This study was conducted to test the feasibility of the band combination of hyperspectral sensing for inland turbid water monitoring in Taiwan. The field spectral reflectance in the Wu river basin of Taiwan was measured with a spectroradiometer; the water samples were collected from the different sites of the Wu river basin The prime objective of present research was to investigate the accuracy and limitations of hyperspectral remotely sensed data for water quality monitoring. The in situ hyperspectral spectroradimeter data of Altamaha River, Georgia, USA, and the St. Marys River, Georgia, …

The prime objective of present research was to investigate the accuracy and limitations of hyperspectral remotely sensed data for water quality monitoring. The in situ hyperspectral spectroradimeter data of Altamaha River, Georgia, USA, and the St. Marys River, Georgia, … Aug 31, 2011 · Existing soil and water quality monitoring data from these established experimental watersheds, as well as direct sampling and new experimentation, will be used to support testing. CVI scientist will acquire and process remotely sensed data (e.g., LiDAR and hyperspectral).

Optically deep water Water quality Hyperspectral data in the construction of a feasible and timely methodology for Venice lagoon water quality monitoring by remote water quality parameters from remotely sensed hyperspectral data. In the first step, we found the solution to … Advanced Remote Sensing Research. Printed on recycled paper. Introduction “Remote sensing” is a generic term for monitoring tech-niques that collect information without being in physical contact with the object of study. Overhead imagery from aircraft and satellite sensors provides the most common form of remotely

2Excel geo is a remote sensing company specialising in the forestry and environmental monitoring industries. Our hyperspectral and true colour airborne platform enables collection over large areas at high resolution. Our custom algorithms and domain experts extract … acquiring data remotely for many years (Landgrebe, 1999) and are viewed as a time- and cost-effective way to undertake large-scale monitoring (Okin et al., 2001), which can be used to deter-mine the quality, quantity and geographic distribution of this resource. Multispectral imagery has been used as the data source for water and land

Concurrent with the water quality sampling, radiance flux data were measured for each lake and for a reflectance panel using a Spectron Engineering SE 590 hand-held spectroradiometer. For each lake sampled, the radiance data (lake and panel) were combined to obtain reflectance for 252 narrow wavelength bands across the visible and near infrared. The Hyperspectral Imager for the Coastal Ocean (HICO) offers the coastal environmental monitoring community an unprecedented opportunity to observe changes in coastal and estuarine water quality across a range of spatial scales not feasible with traditional field-based monitoring or existing ocean color satellites. HICO, an Office of Naval Research sponsored program, is the first space-based

for retrieval of water quality parameters from airborne hyperspectral data in the Chesapeake Bay watershed, which provides a rapid and effective water quality monitoring technique over a large spatial area for best coastal managements. 2. Methods 2.1. Study Area It has also been established that hyperspectral imagers permit an improved recognition of chlorophyll and hereafter algae, due to acquired narrow spectral bands between 450 nm and 600 nm. We start by describing the practical application of hyperspectral remote sensing data in water quality modeling.

Concurrent with the water quality sampling, radiance flux data were measured for each lake and for a reflectance panel using a Spectron Engineering SE 590 hand-held spectroradiometer. For each lake sampled, the radiance data (lake and panel) were combined to obtain reflectance for 252 narrow wavelength bands across the visible and near infrared. Hyperspectral data has been used for a number of applications including geology, vegetation mapping, and atmospherics. We believe that hyperspectral imaging holds the potential for remotely monitoring important water quality constituents. This area has previously received little attention compared to the other applications listed above.

Environmental Application of Hyperspectral Remote Sensing: Managing Liability in an Age of Transparency* M. E. Evans, L. B. Hall, P. A. Samuels, L. A. Jackson, G. L. Korenaga, appropriate application of remotely sensed imagery to industrial projects worldwide. The data will • Surface-water quality monitoring 3. May 26, 2011 · Application of hyperspectral remote sensing for environment monitoring in mining areas. (2004) Retrieval of crop chlorophyll content and leaf area index from decompressed hyperspectral data: the effects of data compression. Leakiness: a new index for monitoring the health of arid and semiarid landscapes using remotely sensed vegetation

Multispectral and hyperspectral remote sensing for

application of hyperspectral remotely sensed data for water quality monitoring

CiteSeerX — QUALITATIVE ASSESSMENT OF INLAND AND. Total suspended solid (TSS) is an important water quality parameter. This study was conducted to test the feasibility of the band combination of hyperspectral sensing for inland turbid water monitoring in Taiwan. The field spectral reflectance in the Wu river basin of Taiwan was measured with a spectroradiometer; the water samples were collected from the different sites of the Wu river basin, Jul 16, 2013 · environmental monitoring system that provides information for the sustainable management of coastal ecosystems. To demonstrate that water quality information derived from HICO could be incorporated into a prototype smart phone application to disseminate data to managers in the EPA Office of Water. Program Objectives.

ISS Hyperspectral Imager for the Coastal Ocean (HICO

application of hyperspectral remotely sensed data for water quality monitoring

THE USE OF HYPERSPECTRAL DATA FOR EVALUATION OF. In the coastal environment, the optical properties of CDOM change owing to seawater mixing and photo degradation. 5. Remote Sensing-GIS in Monitoring Water Quality in Malaysia In Malaysia the application of remote sensing through water quality parameter monitoring is still new. https://en.wikipedia.org/wiki/Remote_sensing The prime purpose of the research study was to elucidate the potential of remotely sensed data for estimation of water quality parameters (WQPs) in inland and coastal waters. The useful application of remotely sensed data for operational monitoring of water ….

application of hyperspectral remotely sensed data for water quality monitoring


1 ASSESSING THE POTENTIAL OF REMOTELY SENSED DATA FOR WATER QUALITY MONITORING OF COASTAL AND INLAND WATERS Asif Mumtaz Bhatti 1, Donald C. Rundquist 2, Seigo Nasu 3 and Masataka Takagi 4 1 Research Associate, COE, Kochi University of Technology, Kochi, Japan. 2Professor, CALMIT, University of Nebraska-Lincoln 3,4 Professor, Kochi University of Technology, Kochi, Our primary goal in this chapter is to provide research findings on the application of the hyperspectral remote sensing to monitor specific land-use activities and water quality. Along with hyperspectral remote sensing, our monitoring was coupled with the integration of remotely sensed data, global positioning system (GPS), and geographic

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract: The prime purpose of the research study was to elucidate the potential of remotely sensed data for estimation of water quality parameters (WQPs) in inland and coastal waters. The useful application of remotely sensed data for operational monitoring of water bodies demand for improved algorithms and methodology. Concurrent with the water quality sampling, radiance flux data were measured for each lake and for a reflectance panel using a Spectron Engineering SE 590 hand-held spectroradiometer. For each lake sampled, the radiance data (lake and panel) were combined to obtain reflectance for 252 narrow wavelength bands across the visible and near infrared.

on the application of remote sensing in discriminating and estimating the biophysical and biochemical properties of wetland vegetation. The specific objectives of this study were to review the status of application of both multi-spectral and hyperspectral remotely sensed data in wetland vege-tation with special focus on: (1) discriminating and Optically deep water Water quality Hyperspectral data in the construction of a feasible and timely methodology for Venice lagoon water quality monitoring by remote water quality parameters from remotely sensed hyperspectral data. In the first step, we found the solution to …

Optically deep water Water quality Hyperspectral data in the construction of a feasible and timely methodology for Venice lagoon water quality monitoring by remote water quality parameters from remotely sensed hyperspectral data. In the first step, we found the solution to … CPI: S. Bagheri, "Impact of Reducing P Loads from Domestic Wastewater on New Jersey Coastal Algal Related Water Quality, NOAA National Sea Grant, May 1, 1987 - May 1, 1988. PI: S. Bagheri, "Reliability of remotely sensed data in Eutrophication Related Water Quality Analysis in New Jersey Coastal Waters".

Optically deep water Water quality Hyperspectral data in the construction of a feasible and timely methodology for Venice lagoon water quality monitoring by remote water quality parameters from remotely sensed hyperspectral data. In the first step, we found the solution to … A detailed analysis of the remotely sensed hyperspectral data has also helped to develop band ratios and regression algorithms that is based on good correlation between spectral signatures and the water quality parameters like Total Suspended Solids (TSS) and Colored Dissolved Organic Matter (CDOM) (Gitelson et al., 1993, Bhatti et al., 2010b).

Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters These methods can improve operational monitoring of small inland water bodies. at sufficiently fine enough spatial and spectral resolution to identify the phycocyanin absorption feature in remote sensed data, the sensitivity to poor remote sensing data Hyperspectral data has been used for a number of applications including geology, vegetation mapping, and atmospherics. We believe that hyperspectral imaging holds the potential for remotely monitoring important water quality constituents. This area has previously received little attention compared to the other applications listed above.

Since 1980’s, satellite Remote Sensing represents an opportunity for synoptic and multi temporal viewing of water quality (Claudia 2006). Remotely sensed satellite images may be used either independently or integrated with GIS techniques. Aug 31, 2011 · Existing soil and water quality monitoring data from these established experimental watersheds, as well as direct sampling and new experimentation, will be used to support testing. CVI scientist will acquire and process remotely sensed data (e.g., LiDAR and hyperspectral).

Since 1980’s, satellite Remote Sensing represents an opportunity for synoptic and multi temporal viewing of water quality (Claudia 2006). Remotely sensed satellite images may be used either independently or integrated with GIS techniques. The prime objective of present research was to investigate the accuracy and limitations of hyperspectral remotely sensed data for water quality monitoring. The in situ hyperspectral spectroradimeter data of Altamaha River, Georgia, USA, and the St. Marys River, Georgia, …

In the coastal environment, the optical properties of CDOM change owing to seawater mixing and photo degradation. 5. Remote Sensing-GIS in Monitoring Water Quality in Malaysia In Malaysia the application of remote sensing through water quality parameter monitoring is still new. Hyperspectral data has been used for a number of applications including geology, vegetation mapping, and atmospherics. We believe that hyperspectral imaging holds the potential for remotely monitoring important water quality constituents. This area has previously received little attention compared to the other applications listed above.

Total suspended solid (TSS) is an important water quality parameter. This study was conducted to test the feasibility of the band combination of hyperspectral sensing for inland turbid water monitoring in … May 26, 2011 · Application of hyperspectral remote sensing for environment monitoring in mining areas. (2004) Retrieval of crop chlorophyll content and leaf area index from decompressed hyperspectral data: the effects of data compression. Leakiness: a new index for monitoring the health of arid and semiarid landscapes using remotely sensed vegetation

Qualitative assessment of inland and coastal waters by

application of hyperspectral remotely sensed data for water quality monitoring

Application of hyperspectral remote sensing for. It has also been established that hyperspectral imagers permit an improved recognition of chlorophyll and hereafter algae, due to acquired narrow spectral bands between 450 nm and 600 nm. We start by describing the practical application of hyperspectral remote sensing data in water quality modeling., Advanced Remote Sensing Research. Printed on recycled paper. Introduction “Remote sensing” is a generic term for monitoring tech-niques that collect information without being in physical contact with the object of study. Overhead imagery from aircraft and satellite sensors provides the most common form of remotely.

SUPERVISED CLASSIFICATION PERFORMANCE OF

ASSESSING THE POTENTIAL OF REMOTELY SENSED DATA. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract: The prime purpose of the research study was to elucidate the potential of remotely sensed data for estimation of water quality parameters (WQPs) in inland and coastal waters. The useful application of remotely sensed data for operational monitoring of water bodies demand for improved algorithms and methodology., 9 Monitoring of Water Quality Using Remote Sensing Data Mining Xing-Ping Wen 1 and Xiao-Feng Yang 2 1Faculty of Land Resource Engineering, Kunming University of science and technology, 2Research Center for Analysis and Measurement, Kunming University of Science and Technology China 1. Introduction Remote sensing techniques play increasingly important role over recent decades in both.

Remotely sensed estimates of water quality parameters would facilitate efforts in spatial and temporal monitoring. In this study we collected hyperspectral water reflectance data with airborne and ground-based sensing systems for multiple arms of Mark Twain … Characteristics of the silt particles and reflection spectrum of the yellow water at the mouth of the Yellow River Author(s): Ben-He Jiang; Huanjun Qi; Qingrong Hu Application of wavelet in data processing of remote sensing spectra Acquiring hyperspectral remotely sensed image classification rules using inductive learning Author(s):

This paper describes an application of ANN for the simultaneous estimation of the columnar content and height of the SO2 plume from volcanic eruptions using hyperspectral remotely sensing data. ANN have been trained using all IASI channels between 1000–1200 and … This paper describes an application of ANN for the simultaneous estimation of the columnar content and height of the SO2 plume from volcanic eruptions using hyperspectral remotely sensing data. ANN have been trained using all IASI channels between 1000–1200 and …

The Hyperspectral Imager for the Coastal Ocean (HICO) offers the coastal environmental monitoring community an unprecedented opportunity to observe changes in coastal and estuarine water quality across a range of spatial scales not feasible with traditional field-based monitoring or existing ocean color satellites. HICO, an Office of Naval Research sponsored program, is the first space-based Remote sensing makes it possible to collect data of dangerous or inaccessible areas. Remote sensing applications include monitoring deforestation in areas such as the Amazon Basin, glacial features in Arctic and Antarctic regions, and depth sounding of coastal and ocean depths. Military collection during the Cold War made use of stand-off collection of data about dangerous border areas.

Optically deep water Water quality Hyperspectral data in the construction of a feasible and timely methodology for Venice lagoon water quality monitoring by remote water quality parameters from remotely sensed hyperspectral data. In the first step, we found the solution to … Feb 25, 2016 · Hyperspectral Remote Sensing: Principles and Applications (Remote Sensing Applications Series) [Marcus Borengasser, William S. Hungate, Russell Watkins] on Amazon.com. *FREE* shipping on qualifying offers. Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features

Remotely sensed estimates of water quality parameters would facilitate efforts in spatial and temporal monitoring. In this study we collected hyperspectral water reflectance data with airborne and ground-based sensing systems for multiple arms of Mark Twain … spectrometer data, and field collected water quality data to demonstrate the feasibility of remote sensing techniques for water quality monitoring in large rivers. This paper also discusses the application of the optical properties of water for multiple river systems. This includes the determination of the optical

Remote Sensing Data Types There are many types of remotely sensed data. Today, we are familiar with the satellite images shown in Google Earth or Google Maps (any many other websites and software), but these are not the only, or sometimes even the best, data for a particular application. CPI: S. Bagheri, "Impact of Reducing P Loads from Domestic Wastewater on New Jersey Coastal Algal Related Water Quality, NOAA National Sea Grant, May 1, 1987 - May 1, 1988. PI: S. Bagheri, "Reliability of remotely sensed data in Eutrophication Related Water Quality Analysis in New Jersey Coastal Waters".

Environmental Application of Hyperspectral Remote Sensing: Managing Liability in an Age of Transparency* M. E. Evans, L. B. Hall, P. A. Samuels, L. A. Jackson, G. L. Korenaga, appropriate application of remotely sensed imagery to industrial projects worldwide. The data will • Surface-water quality monitoring 3. 1 ASSESSING THE POTENTIAL OF REMOTELY SENSED DATA FOR WATER QUALITY MONITORING OF COASTAL AND INLAND WATERS Asif Mumtaz Bhatti 1, Donald C. Rundquist 2, Seigo Nasu 3 and Masataka Takagi 4 1 Research Associate, COE, Kochi University of Technology, Kochi, Japan. 2Professor, CALMIT, University of Nebraska-Lincoln 3,4 Professor, Kochi University of Technology, Kochi,

The Hyperspectral Imager for the Coastal Ocean (HICO) offers the coastal environmental monitoring community an unprecedented opportunity to observe changes in coastal and estuarine water quality across a range of spatial scales not feasible with traditional field-based monitoring or existing ocean color satellites. HICO, an Office of Naval Research sponsored program, is the first space-based 1 ASSESSING THE POTENTIAL OF REMOTELY SENSED DATA FOR WATER QUALITY MONITORING OF COASTAL AND INLAND WATERS Asif Mumtaz Bhatti 1, Donald C. Rundquist 2, Seigo Nasu 3 and Masataka Takagi 4 1 Research Associate, COE, Kochi University of Technology, Kochi, Japan. 2Professor, CALMIT, University of Nebraska-Lincoln 3,4 Professor, Kochi University of Technology, Kochi,

are fine for inspection and monitoring and also plant physiology. Multispectral and hyperspectral sensors collect data relative to plant analysis, ground analysis, water anal-ysis and management, and overall crop health. There are obviously many more bands of image data with hyperspectral versus multispectral, and … for retrieval of water quality parameters from airborne hyperspectral data in the Chesapeake Bay watershed, which provides a rapid and effective water quality monitoring technique over a large spatial area for best coastal managements. 2. Methods 2.1. Study Area

A detailed analysis of the remotely sensed hyperspectral data has also helped to develop band ratios and regression algorithms that is based on good correlation between spectral signatures and the water quality parameters like Total Suspended Solids (TSS) and Colored Dissolved Organic Matter (CDOM) (Gitelson et al., 1993, Bhatti et al., 2010b). CPI: S. Bagheri, "Impact of Reducing P Loads from Domestic Wastewater on New Jersey Coastal Algal Related Water Quality, NOAA National Sea Grant, May 1, 1987 - May 1, 1988. PI: S. Bagheri, "Reliability of remotely sensed data in Eutrophication Related Water Quality Analysis in New Jersey Coastal Waters".

THE USE OF HYPERSPECTRAL DATA FOR EVALUATION OF

application of hyperspectral remotely sensed data for water quality monitoring

A NEURAL NETWORK APPROACH FOR VOLCANIC. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality Article (PDF Available) in IEEE Transactions on Geoscience and Remote Sensing 41(6):1378 - 1387 · July, Since 1980’s, satellite Remote Sensing represents an opportunity for synoptic and multi temporal viewing of water quality (Claudia 2006). Remotely sensed satellite images may be used either independently or integrated with GIS techniques..

Relationship between Land Use and Water Quality and its

application of hyperspectral remotely sensed data for water quality monitoring

Application of hyperspectral remote sensing to. This paper describes an application of ANN for the simultaneous estimation of the columnar content and height of the SO2 plume from volcanic eruptions using hyperspectral remotely sensing data. ANN have been trained using all IASI channels between 1000–1200 and … https://en.wikipedia.org/wiki/Remote_sensing REMOTE SENSING TECHNIQUES FOR DETERMINING WATER QUALITY: APPLICATIONS TO TMDLs and do not provide either the spatial or temporal view of water quality needed for monitoring, assessing, or managing water quality for an individual water body or for multiple been mapped with remotely sensed data (Gibbons et al. 1989). Mapping thermal.

application of hyperspectral remotely sensed data for water quality monitoring


A detailed analysis of the remotely sensed hyperspectral data has also helped to develop band ratios and regression algorithms that is based on good correlation between spectral signatures and the water quality parameters like Total Suspended Solids (TSS) and Colored Dissolved Organic Matter (CDOM) (Gitelson et al., 1993, Bhatti et al., 2010b). The Hyperspectral Imager for the Coastal Ocean (HICO) offers the coastal environmental monitoring community an unprecedented opportunity to observe changes in coastal and estuarine water quality across a range of spatial scales not feasible with traditional field-based monitoring or existing ocean color satellites. HICO, an Office of Naval Research sponsored program, is the first space-based

for retrieval of water quality parameters from airborne hyperspectral data in the Chesapeake Bay watershed, which provides a rapid and effective water quality monitoring technique over a large spatial area for best coastal managements. 2. Methods 2.1. Study Area Hyperspectral data has been used for a number of applications including geology, vegetation mapping, and atmospherics. We believe that hyperspectral imaging holds the potential for remotely monitoring important water quality constituents. This area has previously received little attention compared to the other applications listed above.

Remote Sensing Techniques to Assess Water Quality approaches to examining water quality from remotely sensed data: the (semi-) empirical approach and the (semi-) analytical method [60,[68][69 radiation monitoring, urban planning, growth regulation, soil assessment, and crop yield appraisal [1]. Generally, remote sensing offers imperative coverage, mapping and classification of land-cover features, namely vegetation, soil, water and forests. A principal application of remotely sensed data is to create a classification map of

This paper describes an application of ANN for the simultaneous estimation of the columnar content and height of the SO2 plume from volcanic eruptions using hyperspectral remotely sensing data. ANN have been trained using all IASI channels between 1000–1200 and … Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum.The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes.

spectrometer data, and field collected water quality data to demonstrate the feasibility of remote sensing techniques for water quality monitoring in large rivers. This paper also discusses the application of the optical properties of water for multiple river systems. This includes the determination of the optical for retrieval of water quality parameters from airborne hyperspectral data in the Chesapeake Bay watershed, which provides a rapid and effective water quality monitoring technique over a large spatial area for best coastal managements. 2. Methods 2.1. Study Area

Hyperspectral imaging, like other spectral imaging, collects and processes information from across the electromagnetic spectrum.The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. Total suspended solid (TSS) is an important water quality parameter. This study was conducted to test the feasibility of the band combination of hyperspectral sensing for inland turbid water monitoring in Taiwan. The field spectral reflectance in the Wu river basin of Taiwan was measured with a spectroradiometer; the water samples were collected from the different sites of the Wu river basin

Concurrent with the water quality sampling, radiance flux data were measured for each lake and for a reflectance panel using a Spectron Engineering SE 590 hand-held spectroradiometer. For each lake sampled, the radiance data (lake and panel) were combined to obtain reflectance for 252 narrow wavelength bands across the visible and near infrared. Since 1980’s, satellite Remote Sensing represents an opportunity for synoptic and multi temporal viewing of water quality (Claudia 2006). Remotely sensed satellite images may be used either independently or integrated with GIS techniques.

The prime purpose of the research study was to elucidate the potential of remotely sensed data for estimation of water quality parameters (WQPs) in inland and coastal waters. The useful application of remotely sensed data for operational monitoring of water … radiation monitoring, urban planning, growth regulation, soil assessment, and crop yield appraisal [1]. Generally, remote sensing offers imperative coverage, mapping and classification of land-cover features, namely vegetation, soil, water and forests. A principal application of remotely sensed data is to create a classification map of

on the application of remote sensing in discriminating and estimating the biophysical and biochemical properties of wetland vegetation. The specific objectives of this study were to review the status of application of both multi-spectral and hyperspectral remotely sensed data in wetland vege-tation with special focus on: (1) discriminating and The prime purpose of the research study was to elucidate the potential of remotely sensed data for estimation of water quality parameters (WQPs) in inland and coastal waters. The useful application of remotely sensed data for operational monitoring of water …

radiation monitoring, urban planning, growth regulation, soil assessment, and crop yield appraisal [1]. Generally, remote sensing offers imperative coverage, mapping and classification of land-cover features, namely vegetation, soil, water and forests. A principal application of remotely sensed data is to create a classification map of Hyperspectral data has been used for a number of applications including geology, vegetation mapping, and atmospherics. We believe that hyperspectral imaging holds the potential for remotely monitoring important water quality constituents. This area has previously received little attention compared to the other applications listed above.