SCAN/SNOTEL metadata

[dylanbeaudette]

Should be possible to snag it here:

Asking Deb Harms to be sure.

[dylanbeaudette]

Seems to work (04ffe72e28239414ec5b78e40841e2c603f64ae5). Still need to test, document, and then explain in the related tutorial:

http://ncss-tech.github.io/AQP/soilDB/fetchSCAN-demo.html

@brownag : figured this would be a nice addition to CDEC-based eval of climate data in our part of the world.

Example:

# bleeding-edge version
library(soilDB)
x <- fetchSCAN(site.code=c(462, 697, 574), year=2016)

# new metadata element in list
x$metadata
            Name Site      State Network County Elevation_ft Latitude Longitude          HUC
275 Ebbetts Pass  462 California  SNOTEL Alpine         8661 38.54970 -119.8047 160502010104
507 Leavitt Lake  574 California  SNOTEL   Mono         9604 38.27594 -119.6128 160503020104
741  Poison Flat  697 California  SNOTEL Alpine         7736 38.50576 -119.6262 160502010102

# all stations can be seen with
data(SCAN_SNOTEL_metadata)

# or
SCAN_site_metadata(site.code)

[dylanbeaudette]

Another reminder to link back to the great work in https://github.com/mrke/NicheMapR

http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12148/abstract

https://camelunimelb.wordpress.com/resources/

[dylanbeaudette]

Still waiting to hear back from Deb on the mapping between SCAN/SNOTEL site code and KSSL pedon ID. We may be able to reverse-engineer this linkage via spatial proximity.

[jskovlin]

I just looked into this and the SCAN/SNOTEL station ID should map back to pedon ID will be via the site.climstaid field in the associated lab pedons. Will need to add that field to fetchNASIS/fetchKSSL. Probably easier to track them all back and save the corresponding pedon ID's in the scan metadata file in the package for easy access. One thing I'm not sure about is if the site.climstaid field has been consistently populated, my initial look indicates that it might not be. However, there are only just over a 1000 stations and not all of them may have corresponding lab data.

[dylanbeaudette]

@jskovlin Excellent detective work! I knew that there was a linkage somewhere in one of our databases. Do you have an example sites in mind that I can use to test? What we need is a NASIS or LIMS style query that pulls down the latest site / pedon records that have a non-null site.climstaid field.

[jskovlin]

Unfortunately, it has not been consistently populated......you'll see what I mean when you pull all these data in. Sometimes the field is null and there is mention to the scan/snotel site in the sitetext notes, or dare I say it not at all........

FROM nasis_site, nasis_group, site, OUTER(site_observation, OUTER (pedon, OUTER (transect))) WHERE site.user_site_id IMATCHES ? AND nasis_site.nasis_site_name IMATCHES ? AND nasis_group.group_name IMATCHES ? AND site.climstaid IS NOT NULL AND JOIN transect TO pedon AND JOIN pedon TO site_observation AND JOIN site_observation TO site AND JOIN nasis_group to site AND JOIN site to nasis_site

[dylanbeaudette]

Nice. Looks like there are a couple relevant fields then. For now, it might be best to filter on climstatype IN ('SCAN', 'SNOTEL').

We might need @smroecker help on writing a clever LIMS report that we can periodically hit.

[dylanbeaudette]

As of 5d9dcf22c7a7e33577be271db6f817b696a1c845, there are some more detailed metadata for SCAN/SNOTEL sites in the Western US. Thanks to Jay and Kent Sutcliffe!

library(soilDB)
x <- fetchSCAN(site.code=c(462, 697, 574), year=2016)

knitr::kable(x$metadata, row.names = FALSE)

Name	Site	State	Network	County	Elevation_ft	Latitude	Longitude	HUC	climstanm	upedonid	pedlabsampnum
Ebbetts Pass	462	California	SNOTEL	Alpine	8661	38.54970	-119.8047	160502010104	NA	NA	NA
Leavitt Lake	574	California	SNOTEL	Mono	9604	38.27594	-119.6128	160503020104	Leavitt Lake	S10CA051002	11N0377
Poison Flat	697	California	SNOTEL	Alpine	7736	38.50576	-119.6262	160502010102	NA	NA	NA

[brownag]

Excellent to see all the progress that has been made here.

Unfortunately, can't allocate much mental real estate to this at this time. Have a lot on my plate with CA630.

For the record, my intersectHorizon code is pretty basic and is set up to just return ph/chiid/labsampnum corresponding to one or more horizons occurring at a particular depth, or a range of depths. I designed it to be used internally within functions that would deal with manipulation of the actual horizon data.

A LEFT JOIN-like intersect would be a bit more involved, but would probably also be friendlier to play with for general use. For the purposes of linking sensor depth (single value) to their horizon properties, that is simple enough. But what about the case where a depth interval is specified/desired? Say, you wanted to estimate the thermal properties of all horizons between 0 and 50cm... Truly JOIN-ing would result in duplication of the "site" record you are joining to if you intersect multiple horizons... unless you do something to aggregate (like depth.wtd.average). Perhaps the option to aggregate would be a neat feature for intersection over an interval... !

Just my 2c.

[dylanbeaudette]

Got some updated metadata from Steve Campbell (SCAN pedon IDs). Added a new function for attempting to cross-reference user pedon ID with lab ID via LIMS report.

https://nasis.sc.egov.usda.gov/NasisReportsWebSite/limsreport.aspx?report_name=Pedon+Description+html+(userpedid)&pedon_id=S11UT043001

See changes in related commit for details.

Still need to verify merging of various metadata sources:

• SCAN master list
• western state metadata
• SNOTEL master list (?)

[dylanbeaudette]

Another source of data, c/o @mrke

https://github.com/mrke/NicheMapR/blob/master/data/SCANsites.RData

[dylanbeaudette]

SCAN / SNOTEL site metadata update.

[dylanbeaudette]

Updates, after starting a conversation with Melissa Webb (SCAN/SNOTEL).

• Roger's Farm: Station 2001
• pedon key: 18827
• pedlabsampnum: 92P0204
• user pedon ID: 91NE109001

Cross-reference IDs:

library(soilDB)

SDA_query("SELECT * FROM lab_pedon WHERE pedon_key = '18827' ;")
SCAN_site_metadata(site.code = 2001)

Note that SCAN station is described by name in a site text note vs. "Climate Station ID" field (site.climstaid):

Note that MLRA-owned pedon contains correct link back to LDM/KSSL, missing "certified" checkbox:

TODO:

• ensure that SCAN/SNOTEL database contains all 3 relevant IDs
• update site (record ID: 890262) with SCAN station ID

[brownag]

In https://github.com/ncss-tech/soilDB/commit/44d3a2cd6dec996052b37d93b46fdee3c88597e1#diff-0ecbf43726e8786ff52fe0996cddbff049fae27b910e3ce6c9b7a0c0c125d4be added pedlabsampnum to the following SCAN stations that were previously missing it

Site	upedonid	pedlabsampnum
2092	04KS035001	04N0873
2067	D99PR055007	07N0374
2177	S10AL101001	10N1241
2094	04KS131100	04N0874
2213	S2014AK180002	15N0704
2189	S2012CA079003	13N97488
2107	S2004NM025001	04N0399
2190	S2012CA027001	13N97484
2187	S2012CA027002	13N97485
2191	S2012CA051002	13N97486
2192	S2012CA063001	13N97487
2185	S2011CA071003	13N97465
2173	S10AL033001	10N1238
2212	S2014AK290011	15N0705
2201	S2012TX275001	12N8036
2106	S2004TX079001	04N0398
2105	S2004TX219001	04N0397
2169	S09NM061001	10N0134
2178	S10AL087001	10N1240
2178	S10AL087001	10N1240
2093	04KS147001	04N0875
2104	S2004TX303001	04N0396
2176	S10AL047001	10N1239
2186	S2011CA071004	13N97466
2179	S10AL133001	10N1243
2175	S10AL111001	10N1242
2108	S2004NM025002	04N0400

The following SCAN stations that are missing a related lab pedon have a KSSL pedon within 500m of the station location (via fetchKSSL(bbox=...). Not all of these are good matches--which might suggest one or more of the SCAN site/pedon coordinates are not accurate, or that the pedons accessible via fetchKSSL() are incomplete.

Site	pedon_id	pedon_key	pedlabsampnum	distance
2216	1998NV031163	24200	99P0166	88.09832 [m]
2224	1992MO051002	48788	M9205102	474.31598 [m]
2124	91VI020012	18620	91P1200	440.72794 [m]
2218	71-CA-45-169x	52934	UCD7145169	127.95896 [m]
2147	S2006KS103600	33574	06N1026	470.99138 [m]
2228	74TX347001	4397	40A4643	146.18007 [m]
808	S07MT031001	34591	08N0151	20.02456 [m]

[dylanbeaudette]

Good work. I've got some additional metadata from the SCAN folks, will drop it into the folder in /misc/ where we have been working. There will be several levels of cross-referencing that will have to happen. Will try to add the additional kinks described by Kent Sutcliffe soon.