master-thesis

Find mysterious soil property corresponding to soil-moisture behaviours Properties affecting soil moisture:

1. Soil type
2. Organic content
3. Precipitation (check: Radolan 1000m)
4. Vegetation (check: CLC 100m, Bare-soil condition through classification with indizes 10m)
5. Altitude (check strm 30 30m)
6. Sun radiation
7. Cloudcover (check: sentinel 1, 10m)
8. Soil temperature
9. Air temperature
10. Evaporation / Evapotranspiration
11. Wind relation
12. ? Needed data: Precipitation, Bare-Soil, Soil-Moisture, Evapotranspiration/Evaporation,

Precipitation

Step 1 (download_radolan): Download radolan precipitation data from dwd ftp server

Modules needed: pyftpdlib, os, tarfile
To get it work change working dir folders in script
How it works: Go to ftp folder of DWD precipitation data; Check if file is already on drive and if file is not corrupted skip downloading otherwise download the file
To-Do: To do Step2 download all files inside one folder

Step 2 (unzip_radolan_tar):Unpack radolan data tar.gz -> .bin

Modules needed: tarfile, os
How it works: Use second part of the script. All files must be in the same folder, better when no other files except the .tar.gz files are inside the folder. Extract all files inside the tar archive with the corresponding time variable inside the same folder

Step 3 (wradlib_warps_translate): make readable raster data from .bin data

Modules needed: wradlib, numpy, osgeo
How it works: Use part of the script where all files located in single folder and creating osr objects is inside the for loop... Load .bin data from Step 2; georeference with radolan projection and german grid (900 x 900) and reproject it to GK3 and save it as Gtif. Doesent work in Gee it is deprojected i don't know why? But the radolan stereo projection works for now so take this

Notes on Step 2 and 3: Some problems with doubled tared filez, in total script only solves 2009-2019 with some extra work outside the scripts. For 2006-2013 untar problem accures

Step 4 (upload_gee_2): Upload data from local drive -> GCS Bucket -> GEE

Modules needed: Mainly work with command line
How it works: See https://www.tucson.ars.ag.gov/notebooks/uploading_data_2_gee.html#
Save transferbuckettogee.sh in folder with .tif files to get date property set and run it with "source ransferbuckettogee.sh"
Problem: you have to run earthengine create collection bla/bla/bla and remove it in script because of a / at the end of $imcol the command isn't valid but is necessary for script solution: new $variable
In case you have to delete collections inside GEE look at https://developers.google.com/earth-engine/command_line

Evapotranspiration potential + relative (Evapotranspiration_p_r_workflow)

Step 1 download data
Step 2 transform from .asc to .tif Step 3 Upload to Gcloud and transfer it to GEE (same way as radolan data)

Get Soil Map

Source: http://bodenviewer.hessen.de/mapapps/resources/apps/bodenviewer/index.html?lang=de
How it works: Make a screenshot with no background information. Go to arcmap or qgis and georeference the image. save it as tiff. Than use cluster_images.py to classify image with kmeans

AOI

Hessisches Ried Das Hessische Ried umfasst die Hessische Rheinebene und den hessischen Teil der Nördlichen Oberrheinniederung (naturräumliche Einheiten 225 und 222) https://de.wikipedia.org/wiki/Hessisches_Ried

Bare-Soil detection

Remote Sensing (GEE): Soil Indizes: https://www.indexdatabase.de/db/ia.php?application_id=2 Ground Trouth campain: mapping at the end of the crop season

Soil-Moisture estimation

Ground Trouth campain: DIY moisture sticks Remote Sensing (GEE):

Soil-Map Hessisches Ried

Go-To http://bodenviewer.hessen.de/mapapps/resources/apps/bodenviewer/index.html?lang=de Make screenshots for AOI ; maybe later script this part
Autosticht for stich process https://www.heise.de/download/product/autostitch-27347/download
Python Script cluster_images nutzen um durch kmeans die Karte wiederherstellen

Landcover concept

Soil moisture observations over crop- and bare soil maybe valid. Forest, build-up/urban or water seems to be invalid because of high scattering effects and poor quality SAR data.

First Try: DE GM(500m) / Corine Landcover 100m / radolan 1km/ Boden Übersichtskarte BGR 2km /

Products

open data deutschland - http://de.digital-geography.com/open-data-deutschland-freie-geodaten-von-bund-und-landern/

Boundarys

earth engine

international countrie borders / table-featurecollection / https://developers.google.com/earth-engine/datasets/catalog/USDOS_LSIB_2013

Soil

WMS

BÜK 200 / https://services.bgr.de/wms/boden/buek200/? / https://www.bgr.bund.de/DE/Themen/Boden/Informationsgrundlagen/Bodenkundliche_Karten_Datenbanken/BUEK200/buek200_node.html

earth engine

NASA-USDA SMAP Global Soil Moisture Data / 2015-04-01 - Present / sm, sum, sp / 27-28 km / https://developers.google.com/earth-engine/datasets/catalog/NASA_USDA_HSL_SMAP_soil_moisture GLDAS-2.1: Global Land Data Assimilation System / 2000 - Present / ground based /sm 10-200cm / air temp 27-28 km / https://developers.google.com/earth-engine/datasets/catalog/NASA_GLDAS_V021_NOAH_G025_T3H Copernicus CORINE Land Cover / 1986 - 2012

Landcover

Corine Land Cover / 10-100m https://land.copernicus.eu/pan-european/corine-land-cover/view WMS: http://sg.geodatenzentrum.de/wms_clc10_2012

earth engine

Copernicus CORINE Land Cover / 86 - 2012 / 100m / https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_CORINE_V18_5_1_100m Global PALSAR-2/PALSAR Forest/Non-Forest Map / 2007 - 2018 / 25 m / f, nf, water / https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_FNF MCD12Q1.006 MODIS Land Cover Type Yearly Global / 2001 - 2017 / 500m / Landcover / https://developers.google.com/earth-engine/datasets/catalog/MODIS_051_MCD12Q1 MCD12Q1.051 Land Cover Type Yearly Global / 2000 - present / 500m / Landcover / https://developers.google.com/earth-engine/datasets/catalog/MODIS_051_MCD12Q1 GFSAD1000: Cropland Extent 1km Crop Dominance, Global Food-Support Analysis Data / 2000 - present / 1km / Cropland - global irrigated and rainfed cropland area map / https://developers.google.com/earth-engine/datasets/catalog/USGS_GFSAD1000_V0

Resources Open Data - Freie Daten und Dienste des BKG http://www.geodatenzentrum.de/geodaten/gdz_rahmen.gdz_div?gdz_spr=deu&gdz_akt_zeile=5&gdz_anz_zeile=1&gdz_unt_zeile=0&gdz_user_id=0 Umweltatlas Hessen: http://atlas.umwelt.hessen.de/atlas/haupt.htm