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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+pages/aez.tif filter=lfs diff=lfs merge=lfs -text

pages/01_Agro-Clima.py

@@ -3,8 +3,10 @@ import leafmap
 import solara
 import ipywidgets as widgets
 import ee
-import geemap
-import geemap.colormaps as cm
+from leafmap import leafmap
+import leafmap.colormaps as cm
+import rioxarray as rxr
+from leafmap.common import get_image_colormap
 
 
 
@@ -16,6 +18,7 @@ center = solara.reactive((20, 0))
 
 
 maps = {
+     'Agro-ecological Zones: AEZ classification by climate/soil/terrain/LC': 'pages/aez.tif',
      'Koeppen-Geiger (3-character) classification 2011-2040': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp4p5/KG3_IPSL-CM5A-LR_rcp4p5_2020s.tif',
     "Total number of growing period days": 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/GFDL-ESM2M/rcp2p6/TS/lgd_GFDL-ESM2M_rcp2p6_',
     "Number of dry days during temperature growing period LGPt=5 (days)" : 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/res01/IPSL-CM5A-LR/rcp8p5/TS/ndd2_IPSL-CM5A-LR_rcp8p5_',
@@ -41,7 +44,64 @@ maps_list= list(maps)
 maps_values= list(maps.values())
 
 
-
+aez_dict ={
+    "NAA": "#FFFFFF",  # Branco
+    "Tropics, lowland; semi-arid, no soil/terrain limitations": "#FFD700",  # Dourado
+    "Tropics, lowland; semi-arid, with soil/terrain limitations": "#DAA520",  # Dourado escuro
+    "Tropics, lowland; sub-humid, no soil/terrain limitations": "#32CD32",  # Verde Lima
+    "Tropics, lowland; sub-humid, with soil/terrain limitations": "#228B22",  # Verde Floresta
+    "Tropics, lowland; humid, no soil/terrain limitations": "#008000",  # Verde
+    "Tropics, lowland; humid, with soil/terrain limitations": "#006400",  # Verde Escuro
+    "Tropics, highland; semi-arid, no soil/terrain limitations": "#FFA500",  # Laranja
+    "Tropics, highland; semi-arid, with soil/terrain limitations": "#FF8C00",  # Laranja Escuro
+    "Tropics, highland; sub-humid, no soil/terrain limitations": "#7FFF00",  # Verde Chartreuse
+    "Tropics, highland; sub-humid, with soil/terrain limitations": "#ADFF2F",  # Verde Amarelo
+    "Tropics, highland; humid, no soil/terrain limitations": "#00FF00",  # Verde Limão
+    "Tropics, highland; humid, with soil/terrain limitations": "#00FA9A",  # Verde Médio
+    "Sub-tropics, warm; semi-arid, no soil/terrain limitations": "#FF4500",  # Laranja Vermelho
+    "Sub-tropics, warm; semi-arid, with soil/terrain limitations": "#FF6347",  # Tomate
+    "Sub-tropics, warm; sub-humid, no soil/terrain limitations": "#9ACD32",  # Verde Amarelo Escuro
+    "Sub-tropics, warm; sub-humid, with soil/terrain limitations": "#6B8E23",  # Verde Oliva
+    "Sub-tropics, warm; humid, no soil/terrain limitations": "#3CB371",  # Verde Mar Médio
+    "Sub-tropics, warm; humid, with soil/terrain limitations": "#2E8B57",  # Verde Mar
+    "Sub-tropics, mud, cool; semi-arid, no soil/terrain limitations": "#8B4513",  # Marrom Sela
+    "Sub-tropics, mud, cool; semi-arid, with soil/terrain limitations": "#A0522D",  # Sienna
+    "Sub-tropics, mud, cool; sub-humid, no soil/terrain limitations": "#D2B48C",  # Tan
+    "Sub-tropics, mud, cool; sub-humid, with soil/terrain limitations": "#BC8F8F",  # Rosa Marrom
+    "Sub-tropics, mud, cool; humid, no soil/terrain limitations": "#8FBC8F",  # Verde Mar Claro
+    "Sub-tropics, mud, cool; humid, with soil/terrain limitations": "#556B2F",  # Verde Oliva Escuro
+    "Sub-tropics, cool; semi-arid, no soil/terrain limitations": "#CD853F",  # Peru
+    "Sub-tropics, cool; sub-humid, no soil/terrain limitations": "#DEB887",  # Burlywood
+    "Sub-tropics, cool; humid, with soil/terrain limitations": "#F4A460",  # Sandy Brown
+    "Sub-tropics, cool; humid, no soil/terrain limitations": "#D2691E",  # Chocolate
+    "Temperature, moderate; dry, no soil/terrain limitations": "#B0C4DE",  # Azul Aço Claro
+    "Temperature, moderate; dry, with soil/terrain limitations": "#87CEEB",  # Céu Azul
+    "Temperature, moderate; moist, no soil/terrain limitations": "#ADD8E6",  # Azul Claro
+    "Temperature, moderate; moist, with soil/terrain limitations": "#6495ED",  # Azul Cornflower
+    "Temperature, moderate; wet, no soil/terrain limitations": "#1E90FF",  # Azul Dodger
+    "Temperature, moderate; wet, with soil/terrain limitations": "#0000FF",  # Azul
+    "Temperature, cool; dry, no soil/terrain limitations": "#4682B4",  # Azul Aço
+    "Temperature, cool; dry, with soil/terrain limitations": "#5F9EA0",  # Azul Cadet
+    "Temperature, cool; moist, no soil/terrain limitations": "#00CED1",  # Azul Turquesa Escuro
+    "Temperature, cool; moist, with soil/terrain limitations": "#40E0D0",  # Turquesa
+    "Temperature, cool; wet, no soil/terrain limitations": "#00FFFF",  # Ciano
+    "Temperature, cool; wet, with soil/terrain limitations": "#00BFFF",  # Azul Céu Profundo
+    "Cold, no permafrost; dry, no soil/terrain limitations": "#A9A9A9",  # Cinza Escuro
+    "Cold, no permafrost; dry, with soil/terrain limitations": "#808080",  # Cinza
+    "Cold, no permafrost; moist, no soil/terrain limitations": "#C0C0C0",  # Prata
+    "Cold, no permafrost; moist, with soil/terrain limitations": "#D3D3D3",  # Cinza Claro
+    "Cold, no permafrost; wet, no soil/terrain limitations": "#E0FFFF",  # Azul Claro Claro
+    "Cold, no permafrost; wet, with soil/terrain limitations": "#F0FFFF",  # Azul Celeste
+    "Dominantly very steep terrain": "#8B0000",  # Vermelho Escuro
+    "Land with severe soil/terrain limitations": "#FF0000",  # Vermelho
+    "Ample irrigated soils": "#00FF00",  # Verde Limão
+    "Dominantly hydromorphic soils": "#008080",  # Verde Azulado
+    "Desert/Arid climate": "#FFDAB9",  # Pêssego
+    "Boreal/Cold climate": "#000080",  # Azul Marinho
+    "Arctic/Very cold climate": "#FFFFFF",  # Branco
+    "Dominantly built-up land": "#A52A2A",  # Marrom
+    "Dominantly water": "#0000FF"  # Azul
+}
 
 
 legend_dict = {
@@ -109,47 +169,24 @@ legend_dict = {
     
 
 def add_widgets(m):
-            estados = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level1').filter(ee.Filter.eq('ADM0_NAME', 'Brazil'))
-
-
-# Get the list of state names
-            estados_list = estados.aggregate_array('ADM1_NAME').getInfo()
+            
+            
             setattr(m, "zoom_to_layer", True)
             style = {"description_width": "initial"}
             padding = "0px 0px 0px 5px"
 
-            estado = widgets.Dropdown(
-                value= None,
-                options=estados_list,
-                description="Estado:",
-                style=style,
-                layout=widgets.Layout(width="270px", padding=padding),
-            )
-
-            municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value))
-            municipio_list = municipio_ee.aggregate_array('ADM2_NAME').getInfo()
-
-            municipio = widgets.Dropdown(
-                value=None,
-                options=municipio_list,
-                description="Municipio:",
-                style=style,
-                layout=widgets.Layout(width="270px", padding=padding),
-            )
-            
-
-            
             
             image = widgets.Dropdown(
                 value=None,
-                options=[('Koeppen-Geiger (3-character) classification 2011-2040', maps_values[0]),
-                        ('Total number of growing period days', maps_values[1]),
-                        ('Number of dry days during temperature growing period LGPt=5 (days)', maps_values[2]),
-                        ('Longest period of consecutive dry days in temperature growing period LGPt=5(days)', maps_values[3]),
-                        ('Annual temperature amplitude (°C)', maps_values[4]),
-                        ('Mean annual temperature (°C)', maps_values[5]),
-                        ('Annual precipitation (mm)', maps_values[6]),
-                        ('Total number of rain days (days with P > 1 mm)', maps_values[7]),
+                options=[('Agro-ecological Zones classification by climate/soil/terrain/LC', maps_values[0]),
+                     ('Koeppen-Geiger (3-character) classification 2011-2040', maps_values[1]),
+                        ('Total number of growing period days', maps_values[2]),
+                        ('Number of dry days during temperature growing period LGPt=5 (days)', maps_values[3]),
+                        ('Longest period of consecutive dry days in temperature growing period LGPt=5(days)', maps_values[4]),
+                        ('Annual temperature amplitude (°C)', maps_values[5]),
+                        ('Mean annual temperature (°C)', maps_values[6]),
+                        ('Annual precipitation (mm)', maps_values[7]),
+                        ('Total number of rain days (days with P > 1 mm)', maps_values[8]),
                             ],
                 description="Image:",
                 style=style,
@@ -167,54 +204,15 @@ def add_widgets(m):
             output = widgets.Output()
 
 
-            def change_estado(change):
-                if change.new:
-                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                        municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value))
-                        municipio_list = municipio_ee.aggregate_array('ADM2_NAME').getInfo()
-
-                        municipio.options = municipio_list
-                        #image_date = get_image_date(image.value, m)
-                        output.outputs = ()
-                        #output.append_stdout(f"Image date: {image_date}\n")
-
-            estado.observe(change_estado, names="value")
-
-            def change_municipio(change):
-                if change.new:
-                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                        municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value)).filter(ee.Filter.eq('ADM2_NAME', municipio.value))
-                        
-                        m.add_layer(municipio_ee, name =municipio.value )
-                        m.centerObject(municipio_ee)
-                        #image_date = get_image_date(image.value, m)
-                        output.outputs = ()
-                        #output.append_stdout(f"Image date: {image_date}\n")
-
-            municipio.observe(change_municipio, names="value")
+           
 
             def change_ano(change):
                 if change.new:
                     if change.new not in m.get_layer_names():
                         #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                        colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                        m.add_cog_layer(image.value+ str(ano.value) + '.tif', name= str(ano.value),palette = 'inferno', fit_bounds= m.zoom_to_layer)
+                                                
+                        m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
                         
-
-                        if image.value == maps_values[4] or image.value == maps_values[5]:
-                            m.remove_colorbar()
-                            colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                            m.add_colorbar_branca(colors= colors, vmin=0, vmax=40, position='bottomright', orientation='horizontal', label='°C', caption='Graus Celsius')
-                        elif image.value == maps_values[6]:
-                            m.remove_colorbar()
-                            colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                            m.add_colorbar_branca(colors= colors, vmin=0, vmax=3000, position='bottomright', orientation='horizontal', label='mm', caption='Precipitação Anual')
-                        else:
-                            m.remove_colorbar()
-                            colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                            m.add_colorbar_branca(colors= colors, vmin=0, vmax=365, position='bottomright', orientation='horizontal', label='Dias', caption='Dias no Ano')
-
-
                         output.outputs = ()
                         #output.append_stdout(f"Image date: {image_date}\n")
 
@@ -232,110 +230,116 @@ def add_widgets(m):
                         
 
                         m.add_basemap("HYBRID")
-                        m.remove_legend()
+                        #m.remove_legend()
 
                         if image.value == maps_values[0]:
+                            m.add_raster(maps_values[0], layer_name=maps_list[0])
+                            m.add_legend(legend_title="Legenda", legend_dict=aez_dict, layer_name=maps_list[0], position="bottomleft")
+
+                        elif image.value == maps_values[1]:
                             
                             
-                            m.remove_colorbar()
+                            #m.remove_colorbar()
+                            #raster = 'pages/aez.tif'
+                            legend_dict = {
+                                    "A4 Equatorial rainforest": "#00FF00",  # Verde
+                                    "Am Equatorial monsoon": "#32CD32",     # Verde Lima
+                                    "As Equatorial savannah, dry summer": "#ADFF2F",  # Verde Amarelo
+                                    "Aw Equatorial savannah, dry winter": "#9ACD32",  # Verde Amarelo Escuro
+                                    "BWh Desert climate, hot": "#FF4500",   # Laranja Vermelho
+                                    "BWk Desert climate, cold": "#FF8C00",  # Laranja Escuro
+                                    "BSh Steppe climate, hot": "#FFD700",   # Ouro
+                                    "BSk Steppe climate, cold": "#DAA520",  # Ouro Escuro
+                                    "Cfa Temperate/mesothermal, fully humid, hot": "#87CEEB",  # Céu Azul
+                                    "Cfb Temperate/mesothermal, fully humid, warm": "#ADD8E6",  # Azul Claro
+                                    "Cfc Temperate/mesothermal, fully humid, cold": "#4682B4",  # Azul Aço
+                                    "Csa Temperate/mesothermal, dry summer, hot": "#FFA07A",  # Salmão Claro
+                                    "Csb Temperate/mesothermal, dry summer, warm": "#FA8072",  # Salmão
+                                    "Csc Temperate/mesothermal, dry summer, cold": "#E9967A",  # Salmão Escuro
+                                    "Cwa Temperate/mesothermal, dry winter, hot": "#FFDAB9",  # Pêssego
+                                    "Cwb Temperate/mesothermal, dry winter, warm": "#FFE4B5",  # Moccasin
+                                    "Cwc Temperate/mesothermal, dry winter, cold": "#FFDEAD",  # Navajo Branco
+                                    "Dfa Continental/microthermal, fully humid, hot": "#8B0000",  # Vermelho Escuro
+                                    "Dfb Continental/microthermal, fully humid, warm": "#B22222",  # Tijolo Fogo
+                                    "Dfc Continental/microthermal, fully humid, cold": "#DC143C",  # Carmesim
+                                    "Dfd Continental/microthermal, fully humid, very cold": "#FF0000",  # Vermelho
+                                    "Dsa Continental/microthermal, dry summer, hot": "#800080",  # Roxo
+                                    "Dsb Continental/microthermal, dry summer, warm": "#9370DB",  # Roxo Médio
+                                    "Dsc Continental/microthermal, dry summer, cold": "#8A2BE2",  # Azul Violeta
+                                    "Dsd Continental/microthermal, dry summer, very cold": "#4B0082",  # Índigo
+                                    "Dwa Continental/microthermal, dry winter, hot": "#000080",  # Azul Marinho
+                                    "Dwb Continental/microthermal, dry winter, warm": "#0000CD",  # Azul Médio
+                                    "Dwc Continental/microthermal, dry winter, cold": "#1E90FF",  # Azul Dodger
+                                    "Dwd Continental/microthermal, dry winter, very cold": "#00BFFF",  # Azul Céu Profundo
+                                    "ET Tundra climate": "#F0E68C",  # Caqui
+                                    "EF Eternal Frost climate": "#FFFFFF"   # Branco
+                                }
                             
-                            aez = ee.Image('users/rhamonvmlbg/agro-clima/Koeppen-Geiger_3-character_classification')
-
-                            colors = [
-                                "#FFFFFF",
-                                "#FF99CC",
-                                "#FF6699",
-                                "#FF9966",
-                                "#FF6600",
-                                "#FFCC66",
-                                "#FF9933",
-                                "#FFCC99",
-                                "#FFCC00",
-                                "#FFFF99",
-                                "#FFFF33",
-                                "#FFFF66",
-                                "#FFFF00",
-                                "#FFCC33",
-                                "#FF9900",
-                                "#FFCC00",
-                                "#FF9900",
-                                "#FFD700",
-                                "#FF8C00",
-                                "#FFA07A",
-                                "#FF4500",
-                                "#FFA500",
-                                "#FFDAB9",
-                                "#FFD700",
-                                "#FFC0CB",
-                                "#98FB98",
-                                "#7CFC00",
-                                "#ADFF2F",
-                                "#32CD32",
-                                "#00FF00",
-                                "#008000",
-                                "#ADD8E6",
-                                "#4682B4",
-                                "#5F9EA0",
-                                "#6495ED",
-                                "#1E90FF",
-                                "#0000FF",
-                                "#87CEEB",
-                                "#4169E1",
-                                "#191970",
-                                "#00008B",
-                                "#4B0082",
-                                "#8A2BE2",
-                                "#708090",
-                                "#2F4F4F",
-                                "#696969",
-                                "#808080",
-                                "#A9A9A9",
-                                "#D3D3D3",
-                                "#FFD700",
-                                "#A0522D",
-                                "#CD5C5C",
-                                "#8B0000",
-                                "#FF4500",
-                                "#2E8B57",
-                                "#00CED1",
-                                "#8B4513",
-                                "#0000FF"
-                            ]
+                            custom_cmap = {
+                                    0: "#00FF00",  # A4 Equatorial rainforest
+                            1: "#32CD32",  # Am Equatorial monsoon
+                            2: "#ADFF2F",  # As Equatorial savannah, dry summer
+                            3: "#9ACD32",  # Aw Equatorial savannah, dry winter
+                            4: "#FF4500",  # BWh Desert climate, hot
+                            5: "#FF8C00",  # BWk Desert climate, cold
+                            6: "#FFD700",  # BSh Steppe climate, hot
+                            7: "#DAA520",  # BSk Steppe climate, cold
+                            8: "#87CEEB",  # Cfa Temperate/mesothermal climate, fully humid, hot
+                            9: "#ADD8E6",  # Cfb Temperate/mesothermal climate, fully humid, warm
+                            10: "#4682B4",  # Cfc Temperate/mesothermal climate, fully humid, cold
+                            11: "#FFA07A",  # Csa Temperate/mesothermal climate, dry summer, hot
+                            12: "#FA8072",  # Csb Temperate/mesothermal climate, dry summer, warm
+                            13: "#E9967A",  # Csc Temperate/mesothermal climate, dry summer, cold
+                            14: "#FFDAB9",  # Cwa Temperate/mesothermal climate, dry winter, hot
+                            15: "#FFE4B5",  # Cwb Temperate/mesothermal climate, dry winter, warm
+                            16: "#FFDEAD",  # Cwc Temperate/mesothermal climate, dry winter, cold
+                            17: "#8B0000",  # Dfa Continental/microthermal climate, fully humid, hot
+                            18: "#B22222",  # Dfb Continental/microthermal climate, fully humid, warm
+                            19: "#DC143C",  # Dfc Continental/microthermal climate, fully humid, cold
+                            20: "#FF0000",  # Dfd Continental/microthermal climate, fully humid, very cold
+                            21: "#800080",  # Dsa Continental/microthermal climate, dry summer, hot
+                            22: "#9370DB",  # Dsb Continental/microthermal climate, dry summer, warm
+                            23: "#8A2BE2",  # Dsc Continental/microthermal climate, dry summer, cold
+                            24: "#4B0082",  # Dsd Continental/microthermal climate, dry summer, very cold
+                            25: "#000080",  # Dwa Continental/microthermal climate, dry winter, hot
+                            26: "#0000CD",  # Dwb Continental/microthermal climate, dry winter, warm
+                            27: "#1E90FF",  # Dwc Continental/microthermal climate, dry winter, cold
+                            28: "#00BFFF",  # Dwd Continental/microthermal climate, dry winter, very cold
+                            29: "#F0E68C",  # ET Tundra climate
+                            30: "#FFFFFF"   # EF Eternal Frost climate
+                                }
 
                             
+                            
+                            m.add_cog_layer(image.value, colormap=custom_cmap, name=maps_list[1])
+                            m.add_legend(legend_title="Legenda", legend_dict=legend_dict, layer_name=maps_list[1], position="bottomleft")
 
-                            vis_params ={
-                                'min': 0,
-                                'max': 58,
-                                'palette': colors,
-                                
-                            }
+                        
+                        elif image.value == maps_values[5] or image.value == maps_values[6]:
+                            
 
+                            
 
-                            m.addLayer(aez, vis_params, name ='Koeppen-Geiger Classification')  
-                            municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value)).filter(ee.Filter.eq('ADM2_NAME', municipio.value))
-                        
-                            m.add_layer(municipio_ee, name =municipio.value )
-                        
-                        elif image.value == maps_values[4] or image.value == maps_values[5]:
-                            m.remove_colorbar()
                             colors = cm.get_palette(cmap_name='inferno', hashtag=True)
                             m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
-                            m.add_colorbar_branca(colors= colors, vmin=0, vmax=40, position='bottomright', orientation='horizontal', label='°C', caption='Graus Celsius')
-                        elif image.value == maps_values[6]:
-                            m.remove_colorbar()
+                            m.add_colorbar(colors= colors, vmin=0, vmax=40, position='bottomright', orientation='horizontal', label='°C', caption='Graus Celsius')
+                        elif image.value == maps_values[7]:
+                            
+                        
+
                             colors = cm.get_palette(cmap_name='inferno', hashtag=True)
                             m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
-                            m.add_colorbar_branca(colors= colors, vmin=0, vmax=3000, position='bottomright', orientation='horizontal', label='mm', caption='Precipitação Anual')
+                            m.add_colorbar(colors= colors, vmin=0, vmax=3000, position='bottomright', orientation='horizontal', label='mm', caption='Precipitação Anual')
                         
                             
 
                         else:
+                                
                             
                                 m.add_cog_layer(image.value+ str(ano.value) + '.tif', name=str(ano.value), palette = 'inferno' )
-                                m.remove_colorbar()
+                                
                                 colors = cm.get_palette(cmap_name='inferno', hashtag=True)
-                                m.add_colorbar_branca(colors= colors, vmin=0, vmax=365, position='bottomright', orientation='horizontal', label='Dias', caption='Dias no Ano')
+                                m.add_colorbar(colors= colors, vmin=0, vmax=365, position='bottomright', orientation='horizontal', label='Dias', caption='Dias no Ano')
                             
                                 
                         
@@ -347,101 +351,27 @@ def add_widgets(m):
             image.observe(change_image, names="value")
                 
             box = widgets.VBox(
-                [ image,ano,estado,municipio, output]
+                [ ano,image, output]
             )
             m.add_widget(box, position="topright", add_header=False)
 
 
-class Map(geemap.Map):
+class Map(leafmap.Map):
         def __init__(self, **kwargs):
             super().__init__(**kwargs)
-            ee.Authenticate()
-            ee.Initialize(project='ee-curso-gee-rhamon')
-            self.add_ee_data()
+            #ee.Authenticate()
+            #ee.Initialize(project='ee-curso-gee-rhamon')
+            #self.add_ee_data()
             
 
             add_widgets(self)
             self.add_layer_manager(opened= True)
-            self.add_legend(legend_title="Legend", legend_dict=legend_dict, open=False)
+            #self.add_legend(legend_title="Legend", legend_dict=legend_dict, open=False)
             #self.add_inspector()
             
-
-        def add_ee_data(self):
-
-            aez = ee.Image('users/rhamonvmlbg/agro-clima/Koeppen-Geiger_3-character_classification')
-
-            colors = [
-                "#FFFFFF",
-                "#FF99CC",
-                "#FF6699",
-                "#FF9966",
-                "#FF6600",
-                "#FFCC66",
-                "#FF9933",
-                "#FFCC99",
-                "#FFCC00",
-                "#FFFF99",
-                "#FFFF33",
-                "#FFFF66",
-                "#FFFF00",
-                "#FFCC33",
-                "#FF9900",
-                "#FFCC00",
-                "#FF9900",
-                "#FFD700",
-                "#FF8C00",
-                "#FFA07A",
-                "#FF4500",
-                "#FFA500",
-                "#FFDAB9",
-                "#FFD700",
-                "#FFC0CB",
-                "#98FB98",
-                "#7CFC00",
-                "#ADFF2F",
-                "#32CD32",
-                "#00FF00",
-                "#008000",
-                "#ADD8E6",
-                "#4682B4",
-                "#5F9EA0",
-                "#6495ED",
-                "#1E90FF",
-                "#0000FF",
-                "#87CEEB",
-                "#4169E1",
-                "#191970",
-                "#00008B",
-                "#4B0082",
-                "#8A2BE2",
-                "#708090",
-                "#2F4F4F",
-                "#696969",
-                "#808080",
-                "#A9A9A9",
-                "#D3D3D3",
-                "#FFD700",
-                "#A0522D",
-                "#CD5C5C",
-                "#8B0000",
-                "#FF4500",
-                "#2E8B57",
-                "#00CED1",
-                "#8B4513",
-                "#0000FF"
-            ]
-
             
 
-            vis_params ={
-                'min': 0,
-                'max': 58,
-                'palette': colors,
-                
-            }
-
-
-            self.addLayer(aez, vis_params, name ='Koeppen-Geiger Classification')       
+           
 
         
         

pages/02_Solos.py

@@ -3,15 +3,23 @@ import leafmap
 import solara
 import ipywidgets as widgets
 import ee
-import geemap
-import geemap.colormaps as cm
+from leafmap import leafmap
+import leafmap.colormaps as cm
 
 zoom = solara.reactive(2)
 center = solara.reactive((20, 0))
 
 
 
+maps = {
+                    'Most limiting soil quality rating factor': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ0_mze_v9aH.tif',
+                    "Nutrient retention capacity": 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ2_mze_v9aH.tif',
+                    "Rooting conditions" : 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi1/SQ3_mze_v9aH.tif',
+                    'Soil and terrain suitability, rain-fed': 'https://s3.eu-west-1.amazonaws.com/data.gaezdev.aws.fao.org/LR/soi2/siHr_sst_mze.tif'
+                }
 
+maps_list= list(maps)
+maps_values= list(maps.values())
 
 
 
@@ -49,62 +57,35 @@ legend_dict1 = {
     "Not evaluated": "#A9A9A9",  # Cinza escuro
     "Water": "#0000FF",          # Azul
 }
-hex_colors = [
-    "#FFFFFF",  # NA
-    "#8B0000",  # 0.0 - 0.1
-    "#FF4500",  # 0.1 - 0.2
-    "#FFA500",  # 0.2 - 0.3
-    "#FFD700",  # 0.3 - 0.4
-    "#FFFF00",  # 0.4 - 0.5
-    "#ADFF2F",  # 0.5 - 0.6
-    "#7FFF00",  # 0.6 - 0.7
-    "#32CD32",  # 0.7 - 0.8
-    "#008000",  # 0.8 - 0.9
-    "#006400",  # 0.9 - 1.0
-    "#B0C4DE",  # Permafrost
-    "#A9A9A9",  # Not evaluated
-    "#0000FF",  # Water
-]
+
+hex_colors_dict = {
+    0: "#FFFFFF",  # NA
+    1: "#8B0000",  # 0.0 - 0.1
+    2: "#FF4500",  # 0.1 - 0.2
+    3: "#FFA500",  # 0.2 - 0.3
+    4: "#FFD700",  # 0.3 - 0.4
+    5: "#FFFF00",  # 0.4 - 0.5
+    6: "#ADFF2F",  # 0.5 - 0.6
+    7: "#7FFF00",  # 0.6 - 0.7
+    8: "#32CD32",  # 0.7 - 0.8
+    9: "#008000",  # 0.8 - 0.9
+    10: "#006400",  # 0.9 - 1.0
+    11: "#B0C4DE",  # Permafrost
+    12: "#A9A9A9",  # Not evaluated
+    13: "#0000FF",  # Water
+}
 
       
     
 
 def add_widgets(m):
-            estados = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level1').filter(ee.Filter.eq('ADM0_NAME', 'Brazil'))
-
-
-# Get the list of state names
-            estados_list = estados.aggregate_array('ADM1_NAME').getInfo()
-            maps = {
-                    'Most limiting soil quality rating factor': ee.Image('users/rhamonvmlbg/agro-clima/Most_limiting_soil_quality_rating_factor'),
-                    "Nutrient retention capacity": ee.Image('users/rhamonvmlbg/agro-clima/Nutrient_retention_capacity'),
-                    "Rooting conditions" : ee.Image('users/rhamonvmlbg/agro-clima/Rooting_conditions'),
-                    'Soil and terrain suitability, rain-fed': ee.Image('users/rhamonvmlbg/agro-clima/Soil_and_terrain_suitability_rain-fed')
-                }
-            maps_list= list(maps)
-            maps_values= list(maps.values())
+            
+            
             setattr(m, "zoom_to_layer", True)
             style = {"description_width": "initial"}
             padding = "0px 0px 0px 5px"
 
-            estado = widgets.Dropdown(
-                value= None,
-                options=estados_list,
-                description="Estado:",
-                style=style,
-                layout=widgets.Layout(width="270px", padding=padding),
-            )
-
-            municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value))
-            municipio_list = municipio_ee.aggregate_array('ADM2_NAME').getInfo()
-
-            municipio = widgets.Dropdown(
-                value=None,
-                options=municipio_list,
-                description="Municipio:",
-                style=style,
-                layout=widgets.Layout(width="270px", padding=padding),
-            )
+            
             
 
             
@@ -126,32 +107,7 @@ def add_widgets(m):
             output = widgets.Output()
 
 
-            def change_estado(change):
-                if change.new:
-                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                        municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value))
-                        municipio_list = municipio_ee.aggregate_array('ADM2_NAME').getInfo()
-
-                        municipio.options = municipio_list
-                        #image_date = get_image_date(image.value, m)
-                        output.outputs = ()
-                        #output.append_stdout(f"Image date: {image_date}\n")
-
-            estado.observe(change_estado, names="value")
-
-            def change_municipio(change):
-                if change.new:
-                        #mosaic = f"{url}/datasets/{dataset.value}/{image.value}.json"
-                        municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value)).filter(ee.Filter.eq('ADM2_NAME', municipio.value))
-                        
-                        m.add_layer(municipio_ee, name =municipio.value )
-                        m.centerObject(municipio_ee)
-                        #image_date = get_image_date(image.value, m)
-                        output.outputs = ()
-                        #output.append_stdout(f"Image date: {image_date}\n")
-
-            municipio.observe(change_municipio, names="value")
-
+           
             
             
 
@@ -163,67 +119,56 @@ def add_widgets(m):
                         
                         for layer in layer_list:
                             m.remove_layer(m.find_layer(layer))
-                        
-
+                        #municipiosBR= 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_Municipios_2023.zip'
+                        #estadosBR = 'https://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2023/Brasil/BR_UF_2023.zip'
                         m.add_basemap("HYBRID")
-                        m.remove_legend()
+                        #m.add_shp(estadosBR, layer_name='EstadosBR')
+                        #m.add_shp(municipiosBR, layer_name='MunicipiosBR')
+                        #m.remove_legend()
 
                         if image.value == maps_values[0]:
-
+                                    
+                            
+                            
                             
-                            vis_params = {
-                                'min': 0,
-                                'max': 13,
-                                'palette': hex_colors,
-                            }
                             
 
-                            m.addLayer(image.value,vis_params, name=maps_list[0])
+                            m.add_cog_layer(image.value, name= maps_list[0], colormap = hex_colors_dict, nodata =0)
                             m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
                             
                              
-                            municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value)).filter(ee.Filter.eq('ADM2_NAME', municipio.value))
+                            #municipio_ee = ee.FeatureCollection('FAO/GAUL_SIMPLIFIED_500m/2015/level2').filter(ee.Filter.eq('ADM0_NAME', 'Brazil')).filter(ee.Filter.eq('ADM1_NAME', estado.value)).filter(ee.Filter.eq('ADM2_NAME', municipio.value))
                         
-                            m.add_layer(municipio_ee, name =municipio.value )
+                            #m.add_layer(municipio_ee, name =municipio.value )
                         
                         elif image.value == maps_values[1]:
-                              
-                            vis_params = {
-                                'min': 0,
-                                'max': 13,
-                                'palette': hex_colors,
-                            }
                             
+                        
 
-                            m.addLayer(image.value,vis_params, name=maps_list[1])
+                            m.add_cog_layer(image.value, name= maps_list[1], colormap = hex_colors_dict, nodata =0)
                             m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
                         
                         elif image.value == maps_values[2]:
 
-                            vis_params = {
-                                'min': 0,
-                                'max': 13,
-                                'palette': hex_colors,
-                            }
                             
 
-                            m.addLayer(image.value,vis_params, name=maps_list[2])
+                            m.add_cog_layer(image.value, name= maps_list[2], colormap = hex_colors_dict, nodata=0)
                             m.add_legend(legend_title="Legend", legend_dict=legend_dict1)
                         
                         elif image.value == maps_values[3]:
-                            colors = [
-                                        "#FFFFFF10",  # Branco
-                                        "#006400",  # Verde escuro
-                                        "#008000",  # Verde
-                                        "#ADFF2F",  # Verde claro
-                                        "#FFFF00",  # Amarelo
-                                        "#DAA520",  # Dourado escuro
-                                        "#FF8C00",  # Laranja
-                                        "#A9A9A9",  # Cinza escuro
-                                        "#D3D3D3",  # Cinza claro
-                                        "#0000FF",  # Azul
-                                        "#FF0000"   # Vermelho
-                                    ]
+                            colors_dict = {
+                                                0: "#FFFFFF10",  # Branco
+                                                1: "#006400",    # Verde escuro
+                                                2: "#008000",    # Verde
+                                                3: "#ADFF2F",    # Verde claro
+                                                4: "#FFFF00",    # Amarelo
+                                                5: "#DAA520",    # Dourado escuro
+                                                6: "#FF8C00",    # Laranja
+                                                7: "#A9A9A9",    # Cinza escuro
+                                                8: "#D3D3D3",    # Cinza claro
+                                                9: "#0000FF",    # Azul
+                                                10: "#FF0000"    # Vermelho
+                                            }
                             legend_dict = {
                                         "NA": "#FFFFFF",  # Branco
                                         "SI > 75 : Very high": "#006400",  # Verde escuro
@@ -238,13 +183,8 @@ def add_widgets(m):
                                         "Water": "#FF0000"                 # Vermelho
                                     }
                              
-                            vis_params = {
-                                'min': 0,
-                                'max': 10,
-                                'palette': colors,
-                            }
 
-                            m.addLayer(image.value,vis_params, name=maps_list[3])
+                            m.add_cog_layer(image.value, name= maps_list[3], colormap = colors_dict,nodata=0)
                             m.add_legend(legend_title="Legend", legend_dict=legend_dict)
                            
                             
@@ -261,17 +201,17 @@ def add_widgets(m):
             image.observe(change_image, names="value")
                 
             box = widgets.VBox(
-                [ image,estado,municipio, output]
+                [ image, output]
             )
             m.add_widget(box, position="topright", add_header=False)
 
 
-class Map(geemap.Map):
+class Map(leafmap.Map):
         def __init__(self, **kwargs):
             super().__init__(**kwargs)
             #self.add_ee_data()
-            ee.Authenticate()
-            ee.Initialize(project='ee-curso-gee-rhamon')
+            #ee.Authenticate()
+            #ee.Initialize(project='ee-curso-gee-rhamon')
             add_widgets(self)
             
             self.add_layer_manager(opened= True)
@@ -299,5 +239,4 @@ def Page():
             height="600px",
             toolbar_ctrl=False,
             data_ctrl=True,
-            add_google_map=True,
         )

requirements.txt

@@ -1,8 +1,7 @@
-geemap
-geopandas
-pydantic
-solara
-plotly
-leafmap>=0.42.3
-setuptools
-gcloud
+geemap
+geopandas
+pydantic
+solara
+plotly
+leafmap>=0.42.3
+setuptools