import ee import geemap import plotly.express as px import pandas as pd import solara import dataclasses from typing import Callable, cast df= pd.read_csv('pages/ARR_projects.csv') developer= df['Project De'].iloc[6] project_name= df['Project Na'].iloc[6] project_start = df['Project St'].iloc[6] project_end = df['Project En'].iloc[6] project_ID = df['ProjectID'].iloc[6] registry = df['Registry N'].iloc[6] class Map(geemap.Map): def __init__(self, **kwargs): super().__init__(**kwargs) self.add_ee_data() self.add_basemap("Esri.WorldImagery") self.add_ee_data() def add_ee_data(self): # Add Earth Engine dataset carbonoffsetscol = ee.FeatureCollection('projects/sat-io/open-datasets/CARBON-OFFSET-PROJECTS-GLOBAL').filter(ee.Filter.eq('Country', 'Brazil')) ARR_projects= carbonoffsetscol.filter(ee.Filter.eq('Project Ty', 'ARR')) ARR_project_list= ARR_projects.toList(ARR_projects.size()).get(6) ARR_project= ee.Feature(ARR_project_list) ARR_project_df= geemap.ee_to_gdf(ARR_project) 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] 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] #26- Ano de 2023 land_use_2011=ee.Image('projects/mapbiomas-public/assets/brazil/lulc/collection9/mapbiomas_collection90_integration_v1').select(26) land_use_2011= land_use_2011.clipToCollection(ARR_projects) land_use_2011_remap= land_use_2011.remap(fromList, toList, 0) land_use_2011_remap= land_use_2011_remap.clip(ARR_project) #38-Ano de 2023 land_use_2023=ee.Image('projects/mapbiomas-public/assets/brazil/lulc/collection9/mapbiomas_collection90_integration_v1').select(38) land_use_2023= land_use_2023.clipToCollection(ARR_projects) land_use_2023_remap= land_use_2023.remap(fromList, toList, 0) land_use_2023_remap= land_use_2023_remap.clip(ARR_project) legend_dict = { '3 - Formação Florestal ': '#1f8d49', '10 - Vegetação Herbácea e Arbustiva': '#d6bc74', '15 - Pastagem ': '#edde8e', '18 - Agricultura/Silvicultura': '#E974ED', '22 - Área não Vegetada': '#d4271e' , "26 - Corpo D'água": '#2532e4', } vis_params = { 'palette': ['#1f8d49','#1f8d49','#d6bc74', '#d6bc74','#edde8e', '#edde8e', '#E974ED', '#d4271e', '#2532e4'], #'min': 3, #'max': 26, } left_layer = geemap.ee_tile_layer(land_use_2011_remap, vis_params, 'Uso de Solo Mapbiomas 2011') right_layer = geemap.ee_tile_layer(land_use_2023_remap, vis_params, 'Uso de Solo Mapbiomas 2023') # Add Earth Engine layers to Map self.centerObject(ARR_project, zoom=13) self.add_layer(ARR_project,{},'Projeto de Carbono ARR') 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) self.add_legend(title='Uso de Solo Mapbiomas', legend_dict=legend_dict) self.add_text(text='Nome: '+ project_name, position='bottomleft', offset_x=0, offset_y=0) self.add_text(text='Desenvolvedor do Projeto: ' + developer, position='bottomleft', offset_x=0, offset_y=0) self.add_text(text='Data de Término: ' + project_end, position='bottomleft', offset_x=0, offset_y=0) self.add_text(text='Data de Início: ' + project_start, position='bottomleft', offset_x=0, offset_y=0) self.add_text(text='Registro: '+ registry + ' // ID do Projeto: ' + project_ID, position='bottomleft', offset_x=0, offset_y=0) @solara.component def Page(): with solara.Column(style={"max-width": "100%",'margin': "10vw"}): Map.element( height="600px", )