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| import os | |
| import ee | |
| import geemap.foliumap as geemap | |
| import streamlit as st | |
| import pandas as pd | |
| import numpy as np | |
| st.set_page_config(page_title="TPL MAPPING",layout="wide") | |
| st.markdown(""" | |
| <h1 style='text-align: center;'>Lake Distribution map of Tibet Plateau 🏔️</h1> | |
| <h3 style='text-align: center;'><font color=Blue>YuJunchuan </font>(AGRS)</h3> | |
| <br/> | |
| """, unsafe_allow_html=True) | |
| row1_col1, row1_col2, row1_col3 = st.columns([6, 2,2]) | |
| Map = geemap.Map() | |
| region = ee.FeatureCollection("projects/useful-tempest-341103/assets/water/TPBoundary") | |
| datastart='2021-06-01' | |
| dataend='2021-10-15' | |
| def rmCloudByQA(image): | |
| qa = image.select('QA60') | |
| cloudBitMask = 1 << 10 | |
| cirrusBitMask = 1 << 11 | |
| mask =qa.bitwiseAnd(cloudBitMask).eq(0)and(qa.bitwiseAnd(cirrusBitMask).eq(0)) | |
| return image.updateMask(mask); | |
| S2 = (ee.ImageCollection('COPERNICUS/S2_SR') | |
| .filterDate(datastart,dataend) | |
| .filterBounds(region) | |
| .filter(ee.Filter.lt('CLOUDY_PIXEL_PERCENTAGE', 50)) | |
| .map(rmCloudByQA) | |
| .select('B.*') | |
| .median() | |
| .clip(region)) | |
| pred = ee.Image("projects/useful-tempest-341103/assets/TPlake/pred"); | |
| def pred_mask(pred,threshold): | |
| mask=pred.where(pred.lt(threshold),0).where(pred.gte(threshold),1).toInt() | |
| mask=mask.setDefaultProjection('epsg:4326',None,10) | |
| water=mask.updateMask(mask.gt(0.5)) | |
| return water | |
| with row1_col3: | |
| st.sidebar.title("About") | |
| st.sidebar.info( | |
| """ | |
| This web [app](https://junchuanyu-ldtp.hf.space) is maintained by [Junchuan Yu](https://junchuanyu.netlify.app/posts/). You can follow me on social media: | |
| [GitHub](https://github.com/JunchuanYu) | [Zhihu](https://twitter.com/giswqs) . | |
| Sentinel-2 is used as the data, and 8-band images are used as training data (B4, B3, B2, B8, B11, B12, MNDWI, SDWI). The model uses a multi-scale deep neural network model based on transfer learning, and is implemented using otop technology | |
| """ | |
| ) | |
| st.sidebar.title("Contect") | |
| st.sidebar.info("Email: jason.yu.mail@qq.com") | |
| with row1_col2: | |
| # 选择底图模块 | |
| basemaps = ['HYBRID', 'SATELLITE', 'TERRAIN'] | |
| basemap = st.selectbox("Basemap", basemaps,index=basemaps.index('HYBRID')) | |
| Map.add_basemap(basemap) | |
| # 选择典型湖泊 | |
| Typicallakes = ["Typical Lakes", "Qinghai Lake", "Selincuo", "Zhaling Lake", "Eling Lake", "Zhuonai Lake", "Margai Chaka", "Kokexili Lake"] | |
| lakeword = st.selectbox("Typical Lakes", Typicallakes) | |
| if lakeword == "Qinghai Lake": | |
| Map.setCenter(100.192956,36.936857, zoom=9) | |
| elif lakeword == "Selincuo": | |
| Map.setCenter(88.955657,31.810172, zoom=10) | |
| elif lakeword == "Zhaling Lake": | |
| Map.setCenter(97.294221,34.938479, zoom=11) | |
| elif lakeword == "Eling Lake": | |
| Map.setCenter(97.70816,34.91575, zoom=11) | |
| elif lakeword == "Zhuonai Lake": | |
| Map.setCenter(91.944098,35.555848, zoom=11) | |
| elif lakeword == "Margai Chaka": | |
| Map.setCenter(86.768704,35.133507, zoom=12) | |
| elif lakeword == "Kokexili Lake": | |
| Map.setCenter(91.129067,35.595563, zoom=11) | |
| else: | |
| Map.setCenter(87.745,33.092, zoom=6) | |
| Threshold = st.slider('Threshold', 0, 255, 128) | |
| water=pred_mask(pred,Threshold) | |
| split = st.checkbox("Split View") | |
| if split: | |
| left_layer = geemap.ee_tile_layer(water, {'min': 0, 'max':1, 'palette': '0905ff'}, name='water',opacity=0.5) | |
| right_layer = geemap.ee_tile_layer(S2, {'min': 0, 'max':3000, 'bands': ['B4', 'B3', 'B2']},name='Image',shown=False) | |
| Map.split_map(left_layer, right_layer) | |
| else: | |
| Map.addLayer(water, {'min': 0, 'max':1, 'palette': '0905ff'}, name='water',opacity=0.7) | |
| st.markdown("""<h6 style='text-align: center;'>you can follow the WeChat public account [45度科研人] and leave me a message!</h6>""", unsafe_allow_html=True) | |
| st.markdown("""<div align=center><img width = '300' height ='300' src ="https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png"/></div>""", unsafe_allow_html=True) | |
| with row1_col1: | |
| Map.to_streamlit(height=750) | |