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Carl Boettiger
commited on
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f655a8e
1
Parent(s):
e4937a4
more streamlined
Browse files- app.py +110 -76
- requirements.txt +1 -0
app.py
CHANGED
@@ -19,48 +19,73 @@ import altair as alt
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import ibis
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from ibis import _
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import ibis.selectors as s
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# +
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st.set_page_config(layout="wide", page_title="Leafmap Explorer", page_icon="⚡")
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# Demo Carbon Calculator
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Map will zoom in on selected area and display the tons of carbon lost between 2002 - 2022 below.
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Data comes from Vizzuality repo on [source.coop](https://beta.source.coop/repositories/vizzuality/lg-land-carbon-data/description/).
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'''
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deforest = "https://data.source.coop/vizzuality/lg-land-carbon-data/deforest_carbon_100m_cog.tif"
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irrecoverable = "https://data.source.coop/cboettig/carbon/cogs/irrecoverable_c_total_2018.tif"
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vulnerable = "https://data.source.coop/cboettig/carbon/cogs/vulnerable_c_total_2018.tif"
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polygon_ex ='{"type":"Feature","properties":{},"geometry":{"type":"Polygon","coordinates":[[[-124.628906,34.741612],[-124.628906,42.423457],[-117.246094,42.423457],[-117.246094,34.741612],[-124.628906,34.741612]]]}}'
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code_ex = '''
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m.add_gdf(geo, layer_name="selection")
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'''
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## Map controls sidebar
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with st.sidebar:
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"### python code for map layer:"
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"adjust options or add additional layers using leafmap"
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value = code_ex,
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height = 400)
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# Here we actually compute the total carbon in the requested polygon
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x = (
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value =
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"### Tons of carbon lost:"
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st.write(f'{value:,}')
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st.divider()
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eval(compile(code, "<string>", "exec"))
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m.to_streamlit(height=700)
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"## Explore further"
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st.write('''
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Try adding additional options to the map. Some suggested examples are shown below.
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(Of course any self-respecting streamlit app would make these into toggle buttons,
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but this is a demo and it's fun & flexible to be able to execute arbitrary code).
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'''
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# +
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st.divider()
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'''
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### Data sources
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- Carbon-loss by Vizzuality, on https://beta.source.coop/repositories/vizzuality/lg-land-carbon-data. citation: https://doi.org/10.1101/2023.11.01.565036, License: CC-BY
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- Human Footprint by Vizzuality, on https://beta.source.coop/repositories/vizzuality/hfp-100, citation: https://doi.org/10.3389/frsen.2023.1130896, License: Public Domain
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- Fire polygons by USGS, reprocessed to PMTiles on https://beta.source.coop/cboettig/fire/, License: Public Domain.
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- Irrecoverable Carbon from Conservation International, reprocessed to COG on https://beta.source.coop/cboettig/carbon, citation: https://doi.org/10.1038/s41893-021-00803-6, License: CC-BY-NC
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Software stack: Streamlit (python) app hosted on free-tier HuggingFace spaces. Mapping with Leafmap.
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'''
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import ibis
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from ibis import _
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import ibis.selectors as s
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from streamlit_folium import st_folium
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import json
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def extract_geom(gdf, cog):
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x = (rioxarray.
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open_rasterio('/vsicurl/'+cog, masked=True).
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rio.clip(gdf.geometry.values, gdf.crs, from_disk=True)
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)
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return x
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def read_polygon(polygon):
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geojson_str = json.dumps(polygon)
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gdf = gpd.read_file(geojson_str, driver='GeoJSON')
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gdf.set_crs('epsg:4326')
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return gdf
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def area_hectares(gdf):
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area = gdf.to_crs("EPSG:3857").area / 10000.
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return area
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# +
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st.set_page_config(layout="wide", page_title="Leafmap Explorer", page_icon="⚡")
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st.title("Demo Carbon Calculator")
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DESCRIPTION='''
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Pan and zoom to the desired location on the map. Then, use the map tools to draw a polygon (pentagon tool), bounding box (square tool) or other shape anywhere on the map.
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(use esc key to exit drawing mode). Map will display the tons of carbon lost between 2002 - 2022 below.
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Data comes from Vizzuality repo on [source.coop](https://beta.source.coop/repositories/vizzuality/lg-land-carbon-data/description/).
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'''
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code_ex = ""
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deforest = "https://data.source.coop/vizzuality/lg-land-carbon-data/deforest_carbon_100m_cog.tif"
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# measured in Mg / Hct (tons)
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irrecoverable = "https://data.source.coop/cboettig/carbon/cogs/irrecoverable_c_total_2018.tif"
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vulnerable = "https://data.source.coop/cboettig/carbon/cogs/vulnerable_c_total_2018.tif"
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manageable = "https://data.source.coop/cboettig/carbon/cogs/manageable_c_total_2018.tif"
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#rsr = "https://data.source.coop/cboettig/mobi/range-size-rarity-all/RSR_All.tif"
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#richness = "https://data.source.coop/cboettig/mobi/species-richness-all/SpeciesRichness_All.tif"
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# Use signed data layers
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#rsr = "https://data.source.coop/cboettig/mobi/range-size-rarity-all/RSR_All.tif"
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#richness = "https://data.source.coop/cboettig/mobi/species-richness-all/SpeciesRichness_All.tif"
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m = leafmap.Map(center=[35, -100], zoom=2)
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## Map controls sidebar
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with st.sidebar:
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st.markdown(DESCRIPTION)
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cog_layers = {
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"Carbon Lost, 2002-2022": deforest,
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"Vulnerable Carbon (2018)": vulnerable,
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"Manageable Carbon (2018)": manageable,
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"Irrecoverable Carbon (2018)": irrecoverable
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}
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selection = st.radio("Data", cog_layers)
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cog = cog_layers[selection]
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m.add_cog_layer(cog, palette="reds", name=selection,
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transparent_bg=True, opacity = 0.8,
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zoom_to_layer=False)
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"### python code for map layer:"
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"adjust options or add additional layers using leafmap"
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value = code_ex,
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height = 400)
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# run whatever python code is in the python box, just for fun
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eval(compile(code, "<string>", "exec"))
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st_data = m.to_streamlit(height=400, bidirectional=True)
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units="Tonnes"
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polygon = st_data["last_active_drawing"]
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# Here we actually compute the total carbon in the requested polygon
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if polygon is not None:
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gdf = read_polygon(polygon)
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x = extract_geom(gdf, cog)
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value = float(x.sum())
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if(selection in ["Vulnerable Carbon (2018)",
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"Manageable Carbon (2018)",
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"Irrecoverable Carbon (2018)"]):
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value = value * 9 # 300m pixels, each pixel is 9 hectres
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st.metric(label=f"{selection}", value=f"{value:,} {units}")
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st.divider()
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"## Explore further"
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with st.expander("code examples"):
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st.write('''
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Try adding additional options to the map. Some suggested examples are shown below.
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(Of course any self-respecting streamlit app would make these into toggle buttons,
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but this is a demo and it's fun & flexible to be able to execute arbitrary code).
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To explore further, simply modify the Streamlit app.py file from the Files menu up top!
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'''
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)
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st.code('''
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# irrecoverable carbon (Conservation International):
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carbon = "https://data.source.coop/cboettig/carbon/cogs/irrecoverable_c_total_2018.tif"
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m.add_cog_layer(carbon, palette="reds", name="irrecoverable carbon",
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transparent_bg=True, opacity = 0.8, zoom_to_layer=False)
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# Human Impacts, Vizzuality
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hi="https://data.source.coop/vizzuality/hfp-100/hfp_2021_100m_v1-2_cog.tif"
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m.add_cog_layer(hi, palette="purples", name="human impact",
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transparent_bg=True, opacity = 0.8, zoom_to_layer=False)
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# Fire Polygons, USGS
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usgs = "https://data.source.coop/cboettig/fire/usgs-mtbs.pmtiles"
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combined_style = {
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"version": 8,
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"sources": {
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"source1": {
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"type": "vector",
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"url": "pmtiles://" + usgs,
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"attribution": "USGS"}},
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"layers": [{
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"id": "usgs",
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"source": "source1",
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"source-layer": "mtbs_perims_DD",
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"type": "fill",
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"paint": {"fill-color": "#FFA500", "fill-opacity": 0.2}}]}
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m.add_pmtiles(usgs, name="Fire", style=combined_style, overlay=True, show=True, zoom_to_layer=False)
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''')
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st.divider()
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'''
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### Data sources
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- Carbon-loss by Vizzuality, on https://beta.source.coop/repositories/vizzuality/lg-land-carbon-data. citation: https://doi.org/10.1101/2023.11.01.565036, License: CC-BY
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- Irrecoverable Carbon from Conservation International, reprocessed to COG on https://beta.source.coop/cboettig/carbon, citation: https://doi.org/10.1038/s41893-021-00803-6, License: CC-BY-NC
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- Fire polygons by USGS, reprocessed to PMTiles on https://beta.source.coop/cboettig/fire/, License: Public Domain.
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### Software stack
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- Streamlit (python) app hosted on free-tier HuggingFace spaces ([source code](https://huggingface.co/spaces/boettiger-lab/leafmap/blob/main/app.py)).
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- Cloud-optimized geotifs hosted on [Source.Coop](https://source.coop)
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- Mapping with Leafmap, calculations with rasterio
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'''
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requirements.txt
CHANGED
@@ -7,3 +7,4 @@ ibis-framework[duckdb]
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altair
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rioxarray
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geopandas
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altair
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rioxarray
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geopandas
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streamlit-folium
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