first time

app.py

@@ -63,11 +63,20 @@ histats_code = """
 st.markdown(histats_code, unsafe_allow_html=True)
 
 
+m = leafmap.Map(
+    basemap="HYBRID",
+    plugin_Draw=True,
+    Draw_export=True,
+    locate_control=True,
+    plugin_LatLngPopup=False, center=map_center, zoom=8,
+)
+
+
 # m = leafmap.Map()
-m = leafmap.Map(center=[-40.9006, 174.8860], zoom=7)
-m.add_basemap("Esri")    
-m.add_basemap("Stamen.Terrain")
-m.add_basemap("CartoDB.Positron")
+# m = leafmap.Map(center=[-40.9006, 174.8860], zoom=7)
+# m.add_basemap("Esri")    
+# m.add_basemap("Stamen.Terrain")
+# m.add_basemap("CartoDB.Positron")
 
 
 m.to_streamlit(height=700)

web.py

@@ -0,0 +1,105 @@
+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: admin@onfarmview.com'
+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")