Remote sensing data

general
ESA is a very big engine and it is tricky to find what you are actually looking for or what you need but there is lots:

The following link is a shortcut to ESA's 'Resources' page that includes upcoming workshops, the ESA library, data samples and archives, and probably most useful for anyone working with ESA data, there are ESA-tailored software tools that run free-of-charge on Windows, linux and also MAC (although MAC versions are usually appearing a bit later than the other two!): http://earth.esa.int/resources/ P.S. I attended an ESA Land Training course in Lisbon in September 2007 on Flooding/Soil moisture and Forests and have lots of lecture notes on ASAR, ALOS and how to use these data with the BEST, BEAM and POLSARPRO packages (I have actually worked with an ALOS quadpol for tree height and soil moisture retrieval: amazing data!). If you want any of these notes or some help, just email me (guy.schumann@bristol.ac.uk) and I'll try to help! There is a useful tool from the ESA website to search for available images (does ENVISAT and others):

http://eoli.esa.int/

To access online (last 7-10 days) data and submit CAT-1 (free data) proposals for projects:

http://earth.esa.int/dataproducts/accessingeodata/

To answer third party mission (from non-ESA satellites) calls: http://eopi.esa.int/esa/esa?type=10&cmd=aolist, and go to the 'TPM' link to the left of the page,

and AO (Announcement of Opportunities) calls: http://eopi.esa.int/esa/esa?type=10&cmd=aolist

ESA conferences and workshops
Anyone interested in this year's (2008) ESA summer school in August (4-14) at the ESRIN centre in Italy? Topic: Data assimilation, monitoring and modelling the Earth System. Have a look at: http://envisat.esa.int/envschool/

meteosat
The channels of SEVERI on board meteosat-8 (spectral band / μm)

(from http://las.physik.uni-oldenburg.de/eProceedings/vol05_1/05_1_de-ruyter1.pdf)

statistical
singular vector decomposition

Bretherton CS, Smith C, Wallace JM. 1992. An intercomparison of methods for finding coupled patterns in climate data. Journal of Wilks DS. 1995. Statistical Methods in the Atmospheric Sciences. Climate 5: 541–560