Material for ocean color

Posted on 2020-02-28 In 学习笔记 Word count in article: 1.1k Reading time ≈ 4 mins.

I have been in master course for half years. It’s time to organize the materials I have used.

This article will update as soon as I get new resource.

Basic Knowledge

Textbook

Kirk, J. (1994). Light and Photosynthesis in Aquatic Ecosystems. Cambridge: Cambridge University Press. doi:10.1017/CBO9780511623370 https://www.cambridge.org/core/books/light-and-photosynthesis-in-aquatic-ecosystems/C19B28AE07B1CDEBDA5593194DE4E304

Martin, S. (2014). An Introduction to Ocean Remote Sensing. Cambridge: Cambridge University Press. doi:10.1017/CBO9781139094368 https://www.cambridge.org/core/books/an-introduction-to-ocean-remote-sensing/B05BDCA4B71B9F41E1F1E97FBDCDC9BB

Ocean Optics Web book http://www.oceanopticsbook.info/

IOCCG report https://ioccg.org/what-we-do/ioccg-publications/ioccg-reports/

NASA's Ocean Biology Processing Group (OBPG) Technical Documents:https://oceancolor.gsfc.nasa.gov/docs/technical/

Physical Principles of Ocean Color Remote Sensing

Video and Training course

IOCCG training course https://ioccg.org/what-we-do/training-and-education/

Cornell Summer Satellite Remote Sensing Training Program http://oceanography.eas.cornell.edu/satellite/

Lecture Material from IOCCG Training Courses https://ioccg.org/what-we-do/training-and-education/lectures/

2019 Ocean Optics class on “Calibration & Validation for Ocean Color Remote Sensing” (University of Maine’s Darling Marine Center). See schedule for links to PowerPoint slides.

Programming Resource

Python package

I strongly recommend you install them by Anaconda

numpy,pandas,scipy,scikit-learn,matplotlib,Basemap,GDAL,geopandas,geos,h5py, hdf4,hdf5,netcdf4,pyresample,rasterio,shapely,earthpy,

one community: PyAOS

Github account and repo

Dimitris Poursanidis: https://github.com/dpoursanidis

Bingzhang Chen: https://github.com/BingzhangChen

Erdem Karakoylu： https://github.com/madHatter106

Quinten Vanhellemont：https://github.com/acolite (ACOLITE: Atmospheric correction for aquatic applications of Landsat and Sentinel-2)

Brand Smith: https://github.com/BrandonSmithJ

Wei Jianwei: https://github.com/jianweiocean ,https://github.com/Ocean-Color-Remote-Sensing-Algorithm

UMaine MISC Lab: https://github.com/OceanOptics

Shun Bi: https://github.com/bishun945

Kunming Wang: https://github.com/qunmingwang

CNES:https://github.com/CNES

Hydrant:hydropt

you can check the stars of my git hub account: https://github.com/lifeodyssey?tab=stars

Material for programming

PyHOGs: Python Hour for Oceanographers and Geoscientists http://pyhogs.github.io/

RGB 3S blog:https://www.ixxin.cn/

OceanPython.org: https://oceanpython.org/table-of-contents/

python4geosciences:materials for the Texas A&M Python for Geoscientists class, OCNG 489/689.

https://github.com/hetland/python4geosciences_OLD

Python for Geosciences: https://github.com/koldunovn/python_for_geosciences

R and Python for Oceanographers 1st Edition:https://www.elsevier.com/books/r-and-python-for-oceanographers/alyuruk/978-0-12-813491-7

Earth Lab:https://www.earthdatascience.org/

Processing Remote Sensing Data with Python:https://skemman.is/bitstream/1946/16233/1/final_processingwithpython_dillon.pdf

Geo-python: https://geo-python.github.io/site/

Ocean Optics UMaine MISC Lab:https://github.com/OceanOptics

Optical Oceanography Lab :http://oceanoptics.umb.edu/resources/

The missing semester: https://missing.csail.mit.edu/

What you need for programming: https://boholder.github.io/blogs/what-you-need-for-programming-zh/

Software

Seadas:https://seadas.gsfc.nasa.gov/

Windows Image Manager:http://www.wimsoft.com/index.html

GOCI Data Processing System(GDPS):http://kosc.kiost.ac.kr/eng/p30/kosc_p31.html

Ocean Data View:https://odv.awi.de/

GISS:https://www.giss.nasa.gov/tools/

SNAP: https://step.esa.int/main/download/snap-download/

Data Resource

Ocean Color Data

NASA ocean color data :https://oceancolor.gsfc.nasa.gov/

Earthdata website:https://earthdata.nasa.gov/

GOCI data:http://kosc.kiost.ac.kr/eng/

Maine production(standard VGPM):http://kosc.kiost.ac.kr/eng/

Japan GCOM-C/SGLI:https://gportal.jaxa.jp/gpr/

China GF satellite :http://www.hbeos.org.cn/

Earthexplore： https://earthexplorer.usgs.gov/

EUMETSAT:https://www.eumetsat.int/website/home/index.html

Other data:

GHRSST:https://www.ghrsst.org/

China Argo:www.argo.org.cn/

Other Argo:http://www.argodatamgt.org/

Asia-Pacific Data Research Center,:http://apdrc.soest.hawaii.edu/index.php

AVISO:https://www.aviso.altimetry.fr/en/data/products.html

Japan Meteorological Agency:www.jma.go.jp/jma/menu/menureport.html

REMSS:http://www.remss.com/

Jet Propulsion Lab：https://podaac.jpl.nasa.gov/

KNMI Climate Explorer,：https://climexp.knmi.nl/start.cgi?id=someone@somewhere

ECMWF:https://apps.ecmwf.int/datasets/data/interim-full-daily/levtype%3Dsfc/

OUC ocean & atmosphere data center:http://coadc.ouc.edu.cn/index.php/Index

China Center For Resources Satellite Data and Application:http://218.247.138.119:7777/DSSPlatform/index.html

Geospatial Data Cloud:https://www.gscloud.cn/

FAO Fishery data:http://www.fao.org/fishery/statistics/en

ESSD:https://essd.copernicus.org

SeaBASS: https://seabass.gsfc.nasa.gov

Marine Optical BuoY

Aerojet: https://aeronet.gsfc.nasa.gov

PANGAEA: https://www.pangaea.de

NOMAD: https://seabass.gsfc.nasa.gov/wiki/NOMAD

Valente et al., 2019: https://doi.pangaea.de/10.1594/PANGAEA.898188

BOUSSOLE : http://www.obs-vlfr.fr/Boussole/html/home/home.php

More at IOCCG: https://ioccg.org/resources/data/

Famous Lab all over the world

Lov, france: http://omtab.obs-vlfr.fr/index.htm

PHYTOOPTICS Group, AWI, Germany: https://www.awi.de/en/science/climate-sciences/physical-oceanography/main-research-focus/ocean-optics.html

Plymouth, UK: https://www.pml.ac.uk/Research/Projects/Ocean_color_and_biogeochemistry

UCSD, Scripps,US: https://rfrouin.scrippsprofiles.ucsd.edu/, https://oceanoptics.ucsd.edu/

USF, Hu Chuanmin,US: https://optics.marine.usf.edu/

UMB. Lee Zhongping,US: http://oceanoptics.umb.edu/

Joji, Ishizaka, Japan: http://co2.hyarc.nagoya-u.ac.jp/

Takafumi, Hirata, Japan: https://pft.arc.hokudai.ac.jp/hirata/index.shtml

Toru, Hiratake, Japan: http://odyssey.fish.hokudai.ac.jp/

Emmanuel Boss, USA : http://misclab.umeoce.maine.edu/

David Antoine, Australia: http://rssrg.org/

Water Institute, USA: https://thewaterinstitute.org/

OOMG, USA，http://oomg.meas.ncsu.edu/

Ph.D tips

Ph.D. Advising Statement: https://favonia.org/advising.htmlv

Managing Your Advisor: https://greatresearch.org/2013/08/14/managing-your-advisor/

One year to dissertation: https://livefreeordichotomize.com/2018/09/14/one-year-to-dissertate/

下面的来自于榛子的封面故事

第一类书单：经历流水账

最长最详细的PhD生涯回忆录：UCSD的网红教授Philip Guo的 The PhD Grind PDF.

CMU的教授Jean Yang的博文 What My PhD Was Like HTML.

Amazon的机器学习研究院李沐，“博士这五年” HTML.

第二类书单：生存技巧&指南

特斯拉(Tesla)人工智能组的主管Andrej Karpathy写的A Survival Guide to a PhD HTML.

Facebook 人工智能组的田渊栋写的“博士五年总结” PDF.

北大读博手记：怎样完成自己的博士生涯？HTML

MIT的博士毕业生Adam Marcus写的 The N=1 guide to grad school HTML.

知名教授Matt Might的 10 easy ways to fail a Ph.D. HTML. 封面经典的PhD的示意图就是出自于他）

前哈佛CS终身教授，现Google研究员 Matt Welsh, So, you want to go to grad school? HTML

Stanford教授 Peter Bailis: I Loved Graduate School HTML

《A PhD is not enough》书内有很多好建议，包括如何做presentation、如何找postdoc和postdoc的project，面试的准备、更长远的职业发展。

CMU教授 Jonathan Aldrich: How Do Professors Spend Their Time? HTML

MIT政治学博士，UCSD政治系任助理教授的徐轶青《读博那些事儿》

第三类书单

毕业后没当教授也没去研究院：Farewell to MIT HTML.