NDLI: Sediment grain size estimation using airborne remote sensing, field sampling, and robust statistic

Content Provider	Springer Nature Link
Author	Castillo, Elena Pereda, Raúl Luis, Julio Manuel de Medina, Raúl Viguri, Javier
Copyright Year	2011
Abstract	Remote sensing has been used since the 1980s to study parameters in relation with coastal zones. It was not until the beginning of the twenty-first century that it started to acquire imagery with good temporal and spectral resolution. This has encouraged the development of reliable imagery acquisition systems that consider remote sensing as a water management tool. Nevertheless, the spatial resolution that it provides is not adapted to carry out coastal studies. This article introduces a new methodology for estimating the most fundamental physical property of intertidal sediment, the grain size, in coastal zones. The study combines hyperspectral information (CASI-2 flight), robust statistic, and simultaneous field work (chemical and radiometric sampling), performed over Santander Bay, Spain. Field data acquisition was used to build a spectral library in order to study different atmospheric correction algorithms for CASI-2 data and to develop algorithms to estimate grain size in an estuary. Two robust estimation techniques (MVE and MCD multivariate M-estimators of location and scale) were applied to CASI-2 imagery, and the results showed that robust adjustments give acceptable and meaningful algorithms. These adjustments have given the following R2 estimated results: 0.93 in the case of sandy loam contribution, 0.94 for the silty loam, and 0.67 for clay loam. The robust statistic is a powerful tool for large dataset.
Starting Page	431
Ending Page	444
Page Count	14
File Format	PDF
ISSN	01676369
Journal	Environmental Monitoring and Assessment
Volume Number	181
Issue Number	1-4
e-ISSN	15732959
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-01-20
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Remote sensing Intertidal sediment Airborne sensors Grain size Estimation Robust statistic Atmospheric Protection/Air Quality Control/Air Pollution Ecology Environmental Management Ecotoxicology Environmental Monitoring/Analysis
Content Type	Text
Resource Type	Article
Subject	Pollution Medicine Management, Monitoring, Policy and Law

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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