2002
DOI: 10.1080/01431160010006917
|View full text |Cite
|
Sign up to set email alerts
|

Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOT sensor data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

9
153
0
1

Year Published

2009
2009
2023
2023

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 234 publications
(163 citation statements)
references
References 0 publications
9
153
0
1
Order By: Relevance
“…Traditional field sampling methods are often insufficient in terms of spatial and temporal coverage to derive statistically meaningful results [8]. Satellite remote sensing, theoretically allowing the collection of water quality data over a large area simultaneously, may be a promising way to provide improved coverage for water management authorities if effective methods are applied [9,10].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Traditional field sampling methods are often insufficient in terms of spatial and temporal coverage to derive statistically meaningful results [8]. Satellite remote sensing, theoretically allowing the collection of water quality data over a large area simultaneously, may be a promising way to provide improved coverage for water management authorities if effective methods are applied [9,10].…”
Section: Introductionmentioning
confidence: 99%
“…There have been many successful cases in which the TSS of turbid waters has been retrieved from satellite sensor data in the past 40 years [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. In the 1970s, just after the successful launch of Landsat-1, researchers built a quantitative statistical model for suspended sediment retrieval using multispectral scanner (MSS) remotely sensed images [13].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…-Medium spatial resolution multi-spectral sensor such as Advanced Land Imager (ALI) (30 m), Advanced Land Observation Satellite (ALOS) (10 m), and Landsat provide images in the visible and near-infrared wavelengths; compared to the higher spatial resolution sensors, these sensors are characterised by a higher radiometric performance which contributes to a more accurate assessment of the concentrations of quality parameters over water. Examples of use of medium spatial resolution sensors are: ALOS to map SPM concentrations in Himalayan lakes (Giardino et al, 2010b), ALI to assess CDOM in boreal lakes , and SPOT to map total suspended sediments in the Southern Frisian lakes in the Netherlands (Dekker et al, 2002). The Landsat data deserves to be described more in details due to the relevance of the Landsat mission, which represents the world's longest continuous collection of data at medium spatial resolution and with revisiting time of 16 days.…”
Section: Optical Remote Sensing Sensorsmentioning
confidence: 99%
“…Lepistö et al,(2010) successfully applied Medium Resolution Imaging Spectrometer (MERIS) satellite data in spatial mapping the water quality in Pyhäjärvi Lake in Finland. Tyler et al (2006) and Dekker et al (2002) used Landsat Thematic Mapper (TM) imagery and SPOT to sufficiently estimate TSS in shallow waters. Moderate Resolution Imaging Spectroradiometer (MODIS) has also been used to map sediments in lakes such as Poyang Lake in China (Cui et al, 2009).…”
Section: Geo-information and Earth Observationmentioning
confidence: 99%