应用结果
代码
#导入安装包
import os
import json
import datetime
import streamlit as st
import streamlit.components.v1 as components
import traceback
from PIL import Imageimport aie#读取当前目录的内容
current_work_dir = os.path.dirname(__file__)
#添加地图
collection_id = 'TJNU_3JECO_CHINA_DDEP_V01'# 隐藏页面右上角的action bar按钮
hide_streamlit_action_button = """<style>#MainMenu {visibility: hidden;}</style>
"""
#设定地图分布，页面标题设定名称
st.set_page_config(layout="wide", page_title="AIE AppHub")
st.markdown(hide_streamlit_action_button, unsafe_allow_html=True)
# 调整边距 设定边距
st.markdown(" <style> div[class^='css-1544g2n'] { padding-top: 1px; } </style> ", unsafe_allow_html=True)
st.markdown(" <style> div[class^='block-container'] { padding-top: 1px; } </style> ", unsafe_allow_html=True)# aie的初始化应用分析
def aie_init():'''AIE开发者SDK初始化请登录后访问https://engine-aiearth.aliyun.com/#/utility/auth-token 获取认证token，并将token设置为系统环境变量（变量名为SDK_TOKEN），以便下述代码获取并初始化SDK。'''token = os.environ.get("SDK_TOKEN") # 请至应用空间设置-环境变量中添加SDK_TOKENaie.Authenticate(token=token)aie.Initialize()#这里我们需要让下面函数每一次进行运行，防止过渡运行。
@st.cache_resource
def get_default_aie_map():aie_map = aie.Map(center=[116.383331,39.916668],height=800,zoom=4)return aie_map.to_html()# 定义初始化的函数
def page_reset_callback():st.session_state['region_province_select'] = '请选择'st.session_state['time_picker'] = [datetime.date(2020, 1, 1), datetime.date(2020, 1, 31)]st.session_state['render_map_html'] = get_default_aie_map()#这里设定一个数据筛选函数，包含了地图矢量、底图，研究区，和图层
def aie_map_layer_assemble(year, month,parameter):# 拼接AIE 数据查询SDK语句aie_init()feature_collection = aie.FeatureCollection('China_Province')aie_map = aie.Map(center=feature_collection.getCenter(),height=800,zoom=3)region_vis_params = {'color': '#00FF00'}aie_map.addLayer(feature_collection,region_vis_params,'行政区划边界',bounds=feature_collection.getBounds())year_mon = year + monthimage = aie.Image('ERA5_LAND_MONTHLY_' + year_mon ).clipToCollection(feature_collection)#这里是复选框内容的选项if parameter=="temperature_2m" or parameter=="dewpoint_temperature_2m" or parameter=="soil_temperature_level_1" or parameter=="soil_temperature_level_2" or parameter=="soil_temperature_level_3" or parameter=="soil_temperature_level_4":para_image = image.select([parameter]).subtract(aie.Image.constant(273.15))
#这里我们选择后让其影像转化为摄氏度℃#设定可视化参数vis_temp = {'min': -10,'max': 30,'palette': ["#000080","#0000D9","#4000FF","#8000FF","#0080FF", "#00FF80","#00FF80","#80FF00","#DAFF00","#FFFF00","#FFF500","#FFDA00","#FFB000","#FFA400","#FF4F00","#FF2500","#FF0A00","#FF00FF",]}
#设定图层aie_map.addLayer(para_image,vis_temp,parameter +'(°C)',bounds=para_image.getBounds()) ### 绘制图例 设定图例，这里从ipyleaflet导入图例from ipyleaflet import LegendControl
#这里图例展示和颜色 legend = LegendControl({' < -10 ':'#000080','-10 - -5':'#
