AquaSat: A Data Set to allow Remote Sensing of Water Quality for Inland Waters

作者:站点默认     发布时间:2021-01-06

AquaSat: A Data Set to allow Remote Sensing of Water Quality for Inland Waters

Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States Of America

Communication to: M. R. V. Ross,

Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America

United States Of America Geological Survey, Reston, VA, United States Of America

Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America

College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America

College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America

NASA Jet Propulsion Laboratory, Pasadena, CA, United States Of America

Department of Geological Sciences, University of New York, Chapel Hill, NC, USA

Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, United States Of America

Communication to: M. R. V. Ross,

Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America

United States Of America Geological Survey, Reston, VA, United States Of America

Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America

College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America

College of Environmental and Forest Sciences, University of Washington, Seattle, WA, United States Of America

NASA Jet Propulsion Laboratory, Pasadena, CA, United States Of America

Department of Geological Sciences, University of New York, Chapel Hill, NC, United States Of America

Abstract

Satellite quotes of inland water quality have actually the possibility to greatly expand our capability to observe and monitor the characteristics of big water figures. For pretty much 50 years, we've been in a position to remotely feeling key water quality constituents like total suspended sediment, dissolved organic carbon, chlorophyll a, and Secchi disk level. Nevertheless, remote sensing of water quality is defectively incorporated into inland water sciences, in component because of too little publicly available training information and a notion that remote quotes are unreliable. Remote sensing types of water quality may be enhanced by validation and training on bigger information sets of coincident field and satellite findings, right right right here called matchups. To facilitate model development and much deeper integration of remote sensing into inland water technology, we now have built AquaSat, the greatest such matchup information set ever put together. AquaSat contains a lot more than 600,000 matchups, of ground‐based total suspended sediment, dissolved carbon that is organic chlorophyll a, and SDDSecchi disk depth measurements paired with spectral reflectance from Landsat 5, 7, and 8 obtained within ±1 time of every other. To create AquaSat, we developed available supply tools in R and Python and used them to current general general general public information sets since the contiguous united states of america, such as the Water Quality Portal, LAGOS‐NE, as well as the Landsat archive. As well as posting the information set, we're additionally posting our complete rule architecture to facilitate expanding and increasing AquaSat. We anticipate that this work may help make remote sensing of inland water accessible to more hydrologists, ecologists, and limnologists while assisting novel data‐driven approaches to monitoring and understanding critical water resources in particular spatiotemporal scales.

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  • Robert T. Hensley, Margaret J. Spangler, Lauren F. DeVito, Paul H. Decker, Matthew J. Cohen, Michael N. Gooseff, assessing spatiotemporal variation in water chemistry of this top Colorado River utilizing longitudinal profiling, Hydrological procedures.

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Arikui - a User that is dubious Detection for online dating sites in Japan

Research production : Chapter in Book/Report/Conference proceeding › Conference Contribution (meeting Proceeding)

Abstract

Internet dating comprises one away from variety popular solutions that is accessed through the Web nowadays. This paper introduces a novel detection system for determining questionable users, in other words. users whom start using an online that is japanese solution for purposes besides dating. Samples of such purposes consist of product sales and marketing that is multi-level and others. More particularly, the proposed detection is seen as an simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very first couple of hours; and (iii) data retrieved from Facebook to find the reality that the consumer is really a spammer. The system that is resulting detects lots of spammers each and every day, therefore becoming a very important device when it comes to customer care group in Eureka Inc, where it was implemented.

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Keywords

  • big information
  • information system
  • device learning
  • spam detection

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Here is the accepted author manuscript (AAM). The last posted variation (version of record) can be obtained online via IEEE. Please relate to any relevant terms of good use of this publisher.

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IEEE Overseas Conference on Systems, Man and Cybernetics (SMC). Institute of electric and Electronics Engineers (IEEE), (IEEE Overseas Conference on Systems, guy and Cybernetics).

Research production : Chapter in Book/Report/Conference proceeding › Conference Contribution (seminar Proceeding)

T1 - Arikui - a User that is dubious Detection for online dating sites in Japan

AU - Palomares, Ivan

N2 - internet dating comprises one away from array popular solutions that could be accessed through the online nowadays. This paper introduces a novel detection system for distinguishing questionable users, in other words. users whom use A japanese internet dating solution for purposes besides dating. Samples of such purposes consist of product product product sales and multi-level advertising, and the like. More especially, the proposed detection is described as simultaneously analyzing: (i) user profile information; (ii) individual actions over their very first couple of hours; and (iii) data retrieved from Facebook to find the reality that an individual is just a spammer. The ensuing system effectively detects lots of spammers each day, thus becoming a very important device when it comes to customer care group in Eureka Inc, where it's been implemented.

AB - online dating sites comprises one away from wide variety popular solutions that may be accessed through the online nowadays. This paper introduces a novel detection system for pinpointing questionable users, in other words. users whom start using A japanese internet dating solution for purposes besides dating. Samples of such purposes consist of product product sales and marketing that is multi-level and the like. More especially, the proposed detection is seen as an simultaneously analyzing: (i) user profile information; (ii) individual actions over their very very very very very first hours that are few and (iii) data retrieved from Facebook to find the chance that an individual is really a spammer. The ensuing system effectively detects lots of spammers each day, therefore becoming a very important device for the customer support group in Eureka Inc, where it was implemented.

KW - information system

KW - device learning

KW - spam detection

M3 - Seminar Share (Seminar Proceeding)

T3 - IEEE International Conference on Systems, guy and Cybernetics

BT - IEEE International Conference on Systems, Man and Cybernetics (SMC)

PB - Institute of electric and Electronics Engineers (IEEE)

T2 - IEEE International Conference on Systems, guy, and Cybernetics, SMC

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