Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data-Reference-Cited by-同舟云学术

Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data

Published:2022-09 Issue: Volume:279 Page:113089
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Legleiter Carl J.,King Tyler V.,Carpenter Kurt D.,Hall Natalie C.,Mumford Adam C.,Slonecker Terry,Graham Jennifer L.,Stengel Victoria G.,Simon Nancy,Rosen Barry H.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference100 articles.

1. Spectral mixture modeling: a new analysis of rock and soil types at the Viking Lander 1 Site;Adams;J. Geophys. Res. Solid Earth,1986

2. Imaging spectroscopy: interpretation based on spectral mixture analysis;Adams,1993

3. Empirical and semi-analytical chlorophyll a algorithms for multi-temporal monitoring of New Zealand lakes using Landsat;Allan;Environ. Monit. Assess.,2015

4. Data products, quality and validation of the DLR earth sensing imaging spectrometer (DESIS);Alonso;Sensors,2019

5. Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery;Alvain;Deep-Sea Res. I Oceanogr. Res. Pap.,2005

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