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import ee |
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import geemap |
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import plotly.express as px |
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import pandas as pd |
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import solara |
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import dataclasses |
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from typing import Callable, cast |
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df= pd.read_csv('pages/ARR_projects.csv') |
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developer= df['Project De'].iloc[4] |
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project_name= df['Project Na'].iloc[4] |
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project_start = df['Project St'].iloc[4] |
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project_end = df['Project En'].iloc[4] |
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project_ID = df['ProjectID'].iloc[4] |
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registry = df['Registry N'].iloc[4] |
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class Map(geemap.Map): |
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def __init__(self, **kwargs): |
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super().__init__(**kwargs) |
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self.add_basemap("Esri.WorldImagery") |
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self.add_ee_data() |
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def add_ee_data(self): |
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carbonoffsetscol = ee.FeatureCollection('projects/sat-io/open-datasets/CARBON-OFFSET-PROJECTS-GLOBAL').filter(ee.Filter.eq('Country', 'Brazil')) |
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ARR_projects= carbonoffsetscol.filter(ee.Filter.eq('Project Ty', 'ARR')) |
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ARR_project_list= ARR_projects.toList(ARR_projects.size()).get(4) |
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ARR_project= ee.Feature(ARR_project_list) |
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ARR_project_df= geemap.ee_to_gdf(ARR_project) |
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fromList = [1,3,4,5,6,49,10,11,12,32,29,50,13,15,18,19,39,20,40,62,41,36,46,47,35,48,21,14,9,26,33,31,22,23,24,30,25,27] |
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toList = [3,3,3,3,3,3,10,10,10,10,10,10,10,15,18,18,18,18,18,18,18,18,18,18,18,18,18,18,18,26,26,26,22,22,22,22,22,22] |
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land_use_2011=ee.Image('projects/mapbiomas-public/assets/brazil/lulc/collection9/mapbiomas_collection90_integration_v1').select(26) |
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land_use_2011= land_use_2011.clipToCollection(ARR_projects) |
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land_use_2011_remap= land_use_2011.remap(fromList, toList, 0) |
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land_use_2011_remap= land_use_2011_remap.clip(ARR_project) |
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land_use_2023=ee.Image('projects/mapbiomas-public/assets/brazil/lulc/collection9/mapbiomas_collection90_integration_v1').select(38) |
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land_use_2023= land_use_2023.clipToCollection(ARR_projects) |
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land_use_2023_remap= land_use_2023.remap(fromList, toList, 0) |
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land_use_2023_remap= land_use_2023_remap.clip(ARR_project) |
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legend_dict = { |
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'3 - Formação Florestal ': '#1f8d49', |
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'10 - Vegetação Herbácea e Arbustiva': '#d6bc74', |
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'15 - Pastagem ': '#edde8e', |
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'18 - Agricultura/Silvicultura': '#E974ED', |
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'22 - Área não Vegetada': '#d4271e' , |
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"26 - Corpo D'água": '#2532e4', |
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} |
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vis_params = { |
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'palette': ['#1f8d49','#1f8d49','#d6bc74', '#d6bc74','#edde8e', '#edde8e', '#E974ED', '#d4271e', '#2532e4'], |
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} |
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left_layer = geemap.ee_tile_layer(land_use_2011_remap, vis_params, 'Uso de Solo Mapbiomas 2011') |
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right_layer = geemap.ee_tile_layer(land_use_2023_remap, vis_params, 'Uso de Solo Mapbiomas 2023') |
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self.centerObject(ARR_project, zoom=9) |
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self.add_layer(ARR_project,{},'Projeto de Carbono ARR') |
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self.split_map(left_layer, right_layer, left_label='MapBiomas 2011', right_label='MapBiomas 2023',add_close_button=False, layer_control=True ,left_position='topleft',right_position='topright',zoom_control=False,fullscreen_control=False,draw_control=False) |
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self.add_legend(title='Uso de Solo Mapbiomas', legend_dict=legend_dict) |
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self.add_text(text='Nome: '+ project_name, position='bottomleft', offset_x=0, offset_y=0) |
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self.add_text(text='Desenvolvedor do Projeto: ' + developer, position='bottomleft', offset_x=0, offset_y=0) |
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self.add_text(text='Data de Término: ' + project_end, position='bottomleft', offset_x=0, offset_y=0) |
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self.add_text(text='Data de Início: ' + project_start, position='bottomleft', offset_x=0, offset_y=0) |
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self.add_text(text='Registro: '+ registry + ' // ID do Projeto: ' + project_ID, position='bottomleft', offset_x=0, offset_y=0) |
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@solara.component |
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def Page(): |
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with solara.Column(style={"max-width": "100%",'margin': "10vw"}): |
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Map.element( |
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height="600px", |
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) |
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