Comparison of remote sensing data, model results and in situ data for total suspended matter (TSM) in the southern Frisian lakes-Reference-Cited by-同舟云学术

Comparison of remote sensing data, model results and in situ data for total suspended matter (TSM) in the southern Frisian lakes

Published:2001-03 Issue:1-3 Volume:268 Page:197-214
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Dekker A.G.,Vos R.J.,Peters S.W.M.

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference21 articles.

1. Arino, O, Brockmann, C, Versini, B, Pitella, G. ESA products and processing algorithms for Landsat-TM overview. Technical note ESA-ESRIN, doc no TM-TN-DPE-OT-OA-001. Frascati (Italy) 1994:15 p

2. A model for calculation of diffuse light attenuation (PAR) and Secchi depth;Buiteveld;Neth. J. Aquat. Ecol.,1995

3. De Haan JF, Kokke JMM, Dekker AG, Rijkeboer M. Remote sensing algorithm development: toolkit for water quality continued: operationalisation of tools for the analysis and processing of remote sensing data of coastal and inland waters, NRSP 98-12. Delft, Netherlands: Netherlands Remote Sensing Board (BCRS); Programme Bureau; Rijkswaterstaat Survey Department, 1999.

4. The effect of spectral bandwidth and positioning on the spectral signature analysis of inland waters;Dekker;Remote. Sensing. Environ.,1992

5. Dekker, AG, Malthus, TJM, Hoogenboom, HJ. The remote sensing of inland water quality. In: Danson, FM, Plummer, SE, editors. UK: John Wiley & Sons, 1995.

Cited by 191 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mid-Term Monitoring of Suspended Sediment Plumes of Greek Rivers Using Moderate Resolution Imaging Spectroradiometer (MODIS) Imagery;Remote Sensing;2023-12-12

2. The Long-Term Detection of Suspended Particulate Matter Concentration and Water Colour in Gravel and Sand Pit Lakes through Landsat and Sentinel-2 Imagery;Remote Sensing;2023-11-29

3. Deep learning-based total suspended solids concentration classification of stream water surface images captured by mobile phone;Environmental Monitoring and Assessment;2023-11-20

4. Ensemble Deep Learning Approach for Turbidity Prediction of Dooskal Lake Using Remote Sensing Data;Remote Sensing in Earth Systems Sciences;2023-11-18

5. Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning;Optics Express;2023-10-23