near/earth-observation-for-journalism
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Write complete text for dNBR comparisons

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heyarne 2021-02-26 17:17:26 +00:00
commit 7c5c62fcb0
6 changed files with 1325 additions and 435 deletions
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39
.bash_history
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@ -1,39 +0,0 @@
rm input/tempelhofer_feld/S2A_MSIL2A_20190216T102111_N0211_R065_T33UUU_20190216T130428.zip
rm input/tempelhofer_feld/S2B_MSIL2A_20190419T101029_N0211_R022_T33UUU_20190419T132322.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190407T102021_N0211_R065_T33UUU_20190407T134109.zip
rm input/tempelhofer_feld/S2B_MSIL2A_20190512T102029_N0212_R065_T33UUU_20190512T134103.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190613T101031_N0212_R022_T33UUU_20190614T125329.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190424T101031_N0211_R022_T32UQD_20190424T162325.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190822T101031_N0213_R022_T32UQD_20190822T143621.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip
ls
cd true-color-image/
rm input/tempelhofer_feld/S2A_MSIL2A_20190216T102111_N0211_R065_T33UUU_20190216T130428.zip
rm input/tempelhofer_feld/S2B_MSIL2A_20190419T101029_N0211_R022_T33UUU_20190419T132322.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190407T102021_N0211_R065_T33UUU_20190407T134109.zip
rm input/tempelhofer_feld/S2B_MSIL2A_20190512T102029_N0212_R065_T33UUU_20190512T134103.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190613T101031_N0212_R022_T33UUU_20190614T125329.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190424T101031_N0211_R022_T32UQD_20190424T162325.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190822T101031_N0213_R022_T32UQD_20190822T143621.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190623T101031_N0212_R022_T33UUU_20190623T132509.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190603T101031_N0212_R022_T33UUU_20190603T114652.zip
rm input/tempelhofer_feld/S2A_MSIL2A_20190404T101031_N0211_R022_T32UQD_20190404T174806.zip
file
df -h
htop
top
ls /tmp
ls -a
ls -a .cache/
ls -a .jupyter/
ls -a .jupyter/lab/
ls -a .jupyter/lab/user-settings/
ls -sh
ls -sh ..
cd true-color-image/input/
find . -name '.zip' -size -500M
find tempelhofer_feld -name '.zip' -size -500M
find tempelhofer_feld -name '*.zip' -size -500M
find tempelhofer_feld -name '*.zip' -size -500M | xargs rm
rm -rf true-color-image/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.SAFE/
rm -rf true-color-image/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.SAFE/

9
true-color-image/01 Download and plot single true-color image.ipynb
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@ -27,7 +27,7 @@
"\n", "\n",
"The variables below are configuration parameters of the pipeline.\n", "The variables below are configuration parameters of the pipeline.\n",
"Please note that the pipeline does not do any verification of these parameters.\n", "Please note that the pipeline does not do any verification of these parameters.\n",
"Misconfigurations can break the cells below." "Bad configurations can break the cells below."
] ]
}, },
{ {
@ -922,6 +922,13 @@
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.8.6" "version": "3.8.6"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"state": {},
"version_major": 2,
"version_minor": 0
}
} }
}, },
"nbformat": 4, "nbformat": 4,

147
true-color-image/03b Example Initialized Downloads.ipynb
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true-color-image/03b Forest Fires 2018 and 2019.ipynb
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true-color-image/03c dNBR.ipynb
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10
true-color-image/sentinel_helpers.py
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@ -90,15 +90,15 @@ def scihub_band_paths(p, bands, resolution=None):
rasters = p.glob('**/*.jp2') rasters = p.glob('**/*.jp2')
# take only the paths that contain one of the given bands # take only the paths that contain one of the given bands
rasters = [Path(raster) for band in bands for raster in rasters if band in raster] rasters = [raster for band in bands for raster in rasters if band in raster]
# if a resolution is given, further discard the bands we don't need # if a resolution is given, further discard the bands we don't need
if resolution: if resolution:
rasters = [raster for raster in rasters if resolution in raster.name] rasters = [raster for raster in rasters if resolution in raster]
if p.suffix == '.zip': if p.suffix == '.zip':
# we have to reformat the paths to # we have to reformat the paths to point inside the zip archive
rasters = [Path(f'zip+file://{p}!/{r.name}') for r in rasters] rasters = [f'zip+file://{p}!/{r}' for r in rasters]
return rasters return rasters
@ -223,7 +223,7 @@ def geodataframe_on_map(geodataframe):
''' '''
bbox = geodataframe.unary_union.bounds bbox = geodataframe.unary_union.bounds
minx, miny, maxx, maxy = bbox minx, miny, maxx, maxy = bbox
m = folium.Map([0, 0], tiles='cartodbpositron') m = folium.Map([0, 0], tiles='cartodbpositron', scroll_wheel_zoom=False)
folium.GeoJson(geodataframe.to_json()).add_to(m) folium.GeoJson(geodataframe.to_json()).add_to(m)
m.fit_bounds([[miny, minx], [maxy, maxx]]) m.fit_bounds([[miny, minx], [maxy, maxx]])
return m return m