Comments (1)
using the collection image filtering instead of a single specific image ID and using the result for various other operations:
#### Satellite imagery Processing Section
# Image collection
collection = ee.ImageCollection('COPERNICUS/S2_SR') \
.filter(ee.Filter.lt("CLOUDY_PIXEL_PERCENTAGE", 100)) \
.filterDate('2023-07-13', '2023-07-14') \
.filterBounds(geometry_aoi)
# clipping the main collection to the aoi geometry
clipped_collection = collection.map(lambda image: image.clip(geometry_aoi).divide(10000))
# setting a sat_imagery variable that could be used for various processes later on (tci, ndvi... etc)
sat_imagery = clipped_collection.median()
And from here and on we can use the sat_imagery
for other things such as ndvi and tci.
from ndvi-viewer.
Related Issues (20)
- UI: Legend HOT 1
- Processing imagery: Generating NDVI result HOT 1
- Deployement HOT 1
- Secondary basemaps πΊοΈ HOT 1
- Processing imagery: NDVI supervised classification HOT 1
- Comparative maps HOT 5
- Update README.md
- User input: date time - 2: time range HOT 1
- General info section HOT 1
- User input: cloud coverge percentage HOT 1
- UI: layout enhancement and css loading optimization
- UI/UX - Accessibility: colorblind-friendly map color palettes
- Input: uplaoded geojson with multiple geometries HOT 7
- Dynamic map focus
- Data Profiling and Stats
- Saving Analysis Result - Map Screenshot Save/Export HOT 3
- Error HOT 4
- App optimization - Resource Consumption - Streamlit Cloud free tier Crash
- App crashes due to absent B8 when trying to calculate Nomalized Difference with absent data from current day
- Earth Engin Authentication issue with geemap in streamlit when deployed to Streamlit Cloud
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from ndvi-viewer.