Tyler V. King Carl J. Legleiter 2024 <div><div class="eSEnRK erRRVO dNXUQo cjzFSm JUYHF bqmeqr bInrdi dCSLQl jhQjpY ibCwtb cEaIEN hpftSi jYADwv fSrteL gCaouQ bpiJH fMDMgT euvmnb dWEByn lhewWf kzWhjJ kGrTuD dINDpi cMEHgi joaZnP ckxHlM enUkly grOQmn gNPIvT jERTDL cwBrTF jCafsy eKfPsn kDvOvm eNYtiW jBYKcI wQfnp juzEmB epmuvM jxASez dxaDoa hAMuHi jBBExG nTSai fRdekv fnFPHJ gJNujC kEWxAo bHjWUJ eMxTUw dlxxQW dvknbV fFtpRP dxzIlt iEgVSh fckrva grndIc kmqrqt krLtwY cCAxWr kVhtyM iztRDP liMYqy ovoga fZVqxR bIDaVq ihfBBT jcxVWj kmBHnL dESszd eubqet kIepeo iacOaP cTSgTJ jLLntq fUakio fwHzea dkXDMO bnuHOn knxlOo gAofhl igxpLC kKUitp klpVDy iLBNjq dwlUMG ixJHCD kyIBgn thMLB iVlhWp jEryfO dPhvLs eGCfDJ kjJSbn bBqmsj xxWbw hxHqQC qmLyI udWtD dLDUgN fNBxGI eFsFfP gKssyu iBLeSY"><p>Remote sensing is often used to detect algae, but standard techniques do not provide information on the types of algae present or their potential to form a harmful algal bloom (HAB). We developed a framework for identifying algal genera based on reflectance: SMASH, short for Spectral Mixture Analysis for Surveillance of HABs. The Software Application for SMASH (SAS) was developed in MATLAB and makes use of a Multiple Endmember Spectral Mixture Analysis (MESMA) algorithm implemented in Python but packaged as a standalone executable. SAS includes functions for importing hyperspectral images, resampling spectral libraries, evaluating endmember spectral separability, performing MESMA, and generating various output data products.</p></div></div> application/pdf 10.5334/jors.499 en Ubiquity Press Software application for spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A tool for identifying cyanobacteria genera from remotely sensed data article