add my first model config file :)

.DS_Store

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:68d74a24e420f95467f807a4db46cdab6aa2325059eecc980aa838ca69a469b8
+oid sha256:4fae21a390aa9238a69e4e93ab7252ae9097097e37033ba66ef46ea16de05688
 size 10244

test/web copy.py

@@ -1,105 +0,0 @@
-import folium
-import pandas
-import geemap.foliumap as geemap
-import ee
-from datetime import date, timedelta, datetime
-
-def ee_authenticate(token_name="EARTHENGINE_TOKEN"):
-    geemap.ee_initialize(token_name=token_name)
-def maskCloudAndShadows(image):
-  cloudProb = image.select('MSK_CLDPRB')
-  snowProb = image.select('MSK_SNWPRB')
-  cloud = cloudProb.lt(5)
-  snow = snowProb.lt(5)
-  scl = image.select('SCL')
-  shadow = scl.eq(3); # 3 = cloud shadow
-  cirrus = scl.eq(10); # 10 = cirrus
-  # Cloud probability less than 5% or cloud shadow classification
-  mask = (cloud.And(snow)).And(cirrus.neq(1)).And(shadow.neq(1))
-  return image.updateMask(mask).divide(10000)
-
-# Normalized difference vegetation index (NDVI)
-def getNDVI(image): 
-    ndvi = image.normalizedDifference(['B8','B4']).rename("NDVI")
-    image = image.addBands(ndvi)
-    return(image)
-
-def addDate(image):
-    img_date = ee.Date(image.date())
-    img_date = ee.Number.parse(img_date.format('YYYYMMdd'))
-    return image.addBands(ee.Image(img_date).rename('date').toInt())
-
-ee_authenticate(token_name="4/1AfJohXleDqw1-fV1879iHUDYgPbM7f5OjCKfxFY3vJiiGqQDn_ff-Luhhhk")  #4/1AfJohXkTlWMKd8fPevD3hd4tAq_j-YlD2CabTy7QtM7iu1gNB3XdBEqRehA
-
-map_center=(-43.525650, 172.639847)
-popup_message = 'Contact: [email protected]'
-crs = "epsg:4326"
-band = ['B8','B4','B3']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-
-Map = geemap.Map(
-    basemap="HYBRID",
-    plugin_Draw=True,
-    Draw_export=True,
-    locate_control=True,
-    plugin_LatLngPopup=False, center=map_center, zoom=8,
-)
-
-ed = date.today()
-sd = ed - timedelta(days=30)
-
-
-startDate = sd.strftime("%Y-%m-%d") + "T" 
-endDate = ed.strftime("%Y-%m-%d") + "T"
-
-
-se2 = ee.ImageCollection('COPERNICUS/S2_SR').filterDate(
-            startDate,endDate).filter(
-            ee.Filter.lt("CLOUDY_PIXEL_PERCENTAGE",80)).map(maskCloudAndShadows).median()
-
-palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']
-vis_params = {
-  'min': 0,
-  'max': 1,
-  'palette': palette}
-
-NDVI_data = ee.ImageCollection('COPERNICUS/S2_SR').filterDate(startDate, endDate).filter(ee.Filter.lt("CLOUDY_PIXEL_PERCENTAGE",80)).map(maskCloudAndShadows).map(getNDVI)
-Map.addLayer(NDVI_data.select('NDVI').median(), vis_params, "Median of NDVI")        
-
-
-band = ['B4','B3','B2']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Natural Color"
-Map.addLayer(se2, rgbViza, titlemap)
-
-
-band = ['B8','B4','B3']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Color Infrared"
-Map.addLayer(se2, rgbViza, titlemap)
-
-band = ['B11','B8','B2']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Agriculture"
-Map.addLayer(se2, rgbViza, titlemap)
-
-band = ['B11','B8','B4']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Vegetation Analysis"
-Map.addLayer(se2, rgbViza, titlemap)
-
-band = ['B8','B11','B2']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Healthy Vegetation"
-Map.addLayer(se2, rgbViza, titlemap)
-
-
-
-folium.Marker(
-    location=map_center,
-    popup=popup_message,
-    icon=folium.Icon(icon="info-sign", color="red")
-).add_to(Map)
-
-Map.addLayerControl()
-Map.save("index.html")

web copy.py

@@ -1,105 +0,0 @@
-import folium
-import pandas
-import geemap.foliumap as geemap
-import ee
-from datetime import date, timedelta, datetime
-
-def ee_authenticate(token_name="EARTHENGINE_TOKEN"):
-    geemap.ee_initialize(token_name=token_name)
-def maskCloudAndShadows(image):
-  cloudProb = image.select('MSK_CLDPRB')
-  snowProb = image.select('MSK_SNWPRB')
-  cloud = cloudProb.lt(5)
-  snow = snowProb.lt(5)
-  scl = image.select('SCL')
-  shadow = scl.eq(3); # 3 = cloud shadow
-  cirrus = scl.eq(10); # 10 = cirrus
-  # Cloud probability less than 5% or cloud shadow classification
-  mask = (cloud.And(snow)).And(cirrus.neq(1)).And(shadow.neq(1))
-  return image.updateMask(mask).divide(10000)
-
-# Normalized difference vegetation index (NDVI)
-def getNDVI(image): 
-    ndvi = image.normalizedDifference(['B8','B4']).rename("NDVI")
-    image = image.addBands(ndvi)
-    return(image)
-
-def addDate(image):
-    img_date = ee.Date(image.date())
-    img_date = ee.Number.parse(img_date.format('YYYYMMdd'))
-    return image.addBands(ee.Image(img_date).rename('date').toInt())
-
-ee_authenticate(token_name="4/1AfJohXleDqw1-fV1879iHUDYgPbM7f5OjCKfxFY3vJiiGqQDn_ff-Luhhhk")  #4/1AfJohXkTlWMKd8fPevD3hd4tAq_j-YlD2CabTy7QtM7iu1gNB3XdBEqRehA
-
-map_center=(-43.525650, 172.639847)
-popup_message = 'Contact: [email protected]'
-crs = "epsg:4326"
-band = ['B8','B4','B3']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-
-Map = geemap.Map(
-    basemap="HYBRID",
-    plugin_Draw=True,
-    Draw_export=True,
-    locate_control=True,
-    plugin_LatLngPopup=False, center=map_center, zoom=8,
-)
-
-ed = date.today()
-sd = ed - timedelta(days=30)
-
-
-startDate = sd.strftime("%Y-%m-%d") + "T" 
-endDate = ed.strftime("%Y-%m-%d") + "T"
-
-
-se2 = ee.ImageCollection('COPERNICUS/S2_SR').filterDate(
-            startDate,endDate).filter(
-            ee.Filter.lt("CLOUDY_PIXEL_PERCENTAGE",80)).map(maskCloudAndShadows).median()
-
-palette = ['FFFFFF', 'CE7E45', 'DF923D', 'F1B555', 'FCD163', '99B718', '74A901', '66A000', '529400', '3E8601', '207401', '056201', '004C00', '023B01', '012E01', '011D01', '011301']
-vis_params = {
-  'min': 0,
-  'max': 1,
-  'palette': palette}
-
-NDVI_data = ee.ImageCollection('COPERNICUS/S2_SR').filterDate(startDate, endDate).filter(ee.Filter.lt("CLOUDY_PIXEL_PERCENTAGE",80)).map(maskCloudAndShadows).map(getNDVI)
-Map.addLayer(NDVI_data.select('NDVI').median(), vis_params, "Median of NDVI")        
-
-
-band = ['B4','B3','B2']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Natural Color"
-Map.addLayer(se2, rgbViza, titlemap)
-
-
-band = ['B8','B4','B3']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Color Infrared"
-Map.addLayer(se2, rgbViza, titlemap)
-
-band = ['B11','B8','B2']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Agriculture"
-Map.addLayer(se2, rgbViza, titlemap)
-
-band = ['B11','B8','B4']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Vegetation Analysis"
-Map.addLayer(se2, rgbViza, titlemap)
-
-band = ['B8','B11','B2']
-rgbViza = {"min":0.0, "max":0.7,"bands":band}
-titlemap = "Sentinel 2 - Healthy Vegetation"
-Map.addLayer(se2, rgbViza, titlemap)
-
-
-
-folium.Marker(
-    location=map_center,
-    popup=popup_message,
-    icon=folium.Icon(icon="info-sign", color="red")
-).add_to(Map)
-
-Map.addLayerControl()
-Map.save("index.html")