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| 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[1] | |
| project_name= df['Project Na'].iloc[1] | |
| project_start = df['Project St'].iloc[1] | |
| project_end = df['Project En'].iloc[1] | |
| project_ID = df['ProjectID'].iloc[1] | |
| registry = df['Registry N'].iloc[1] | |
| class Map(geemap.Map): | |
| def __init__(self, **kwargs): | |
| super().__init__(**kwargs) | |
| 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(1) | |
| 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=11) | |
| 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) | |
| def Page(): | |
| with solara.Column(style={"max-width": "100%",'margin': "10vw"}): | |
| Map.element( | |
| height="600px", | |
| ) | |