Spaces:
Sleeping
Sleeping
Commit
·
68b2737
1
Parent(s):
4dab1a2
Update run.py
Browse files
run.py
CHANGED
|
@@ -9,18 +9,17 @@ st.set_page_config(page_title="TPL MAPPING",layout="wide")
|
|
| 9 |
|
| 10 |
st.markdown("""
|
| 11 |
<h1 style='text-align: center;'>Lake Distribution map of Tibet Plateau 🏔️</h1>
|
| 12 |
-
<h3 style='text-align: center;'>YuJunchuan(
|
|
|
|
|
|
|
| 13 |
""", unsafe_allow_html=True)
|
| 14 |
-
# geemap.set_proxy(33210)
|
| 15 |
|
| 16 |
-
row1_col1, row1_col2 = st.columns([
|
| 17 |
|
| 18 |
Map = geemap.Map()
|
| 19 |
|
| 20 |
-
# 设置区域
|
| 21 |
region = ee.FeatureCollection("projects/useful-tempest-341103/assets/water/TPBoundary")
|
| 22 |
|
| 23 |
-
# 获取遥感影像
|
| 24 |
datastart='2021-06-01'
|
| 25 |
dataend='2021-10-15'
|
| 26 |
|
|
@@ -42,13 +41,25 @@ S2 = (ee.ImageCollection('COPERNICUS/S2_SR')
|
|
| 42 |
|
| 43 |
pred = ee.Image("projects/useful-tempest-341103/assets/TPlake/pred");
|
| 44 |
|
| 45 |
-
# 对分类数据进行mask处理
|
| 46 |
def pred_mask(pred,threshold):
|
| 47 |
mask=pred.where(pred.lt(threshold),0).where(pred.gte(threshold),1).toInt()
|
| 48 |
mask=mask.setDefaultProjection('epsg:4326',None,10)
|
| 49 |
water=mask.updateMask(mask.gt(0.5))
|
| 50 |
return water
|
| 51 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 52 |
with row1_col2:
|
| 53 |
# 选择底图模块
|
| 54 |
basemaps = ['HYBRID', 'SATELLITE', 'TERRAIN']
|
|
@@ -75,37 +86,21 @@ with row1_col2:
|
|
| 75 |
else:
|
| 76 |
Map.setCenter(87.745,33.092, zoom=6)
|
| 77 |
|
| 78 |
-
# 自定义设置阈值
|
| 79 |
Threshold = st.slider('Threshold', 0, 255, 128)
|
| 80 |
water=pred_mask(pred,Threshold)
|
| 81 |
|
| 82 |
-
# 选择是否分屏查看
|
| 83 |
split = st.checkbox("Split View")
|
| 84 |
if split:
|
| 85 |
-
left_layer = geemap.ee_tile_layer(water, {'min': 0, 'max':1, 'palette': '0905ff'}, name='water',opacity=0.
|
| 86 |
right_layer = geemap.ee_tile_layer(S2, {'min': 0, 'max':3000, 'bands': ['B4', 'B3', 'B2']},name='Image',shown=False)
|
| 87 |
Map.split_map(left_layer, right_layer)
|
| 88 |
else:
|
| 89 |
Map.addLayer(water, {'min': 0, 'max':1, 'palette': '0905ff'}, name='water',opacity=0.7)
|
| 90 |
-
|
| 91 |
-
st.sidebar.title("About")
|
| 92 |
-
st.sidebar.info(
|
| 93 |
-
"""
|
| 94 |
-
This web [app]() is maintained by [Junchuan Yu](https://junchuanyu.netlify.app/posts/). You can follow me on social media:
|
| 95 |
-
[GitHub](https://github.com/JunchuanYu) | [Zhihu](https://twitter.com/giswqs) .
|
| 96 |
|
| 97 |
-
|
| 98 |
-
"""
|
| 99 |
-
|
| 100 |
|
| 101 |
with row1_col1:
|
| 102 |
Map.to_streamlit(height=750)
|
| 103 |
|
| 104 |
-
st.markdown("<h5 style='text-align: center;'>you can follow the WeChat public account [45度科研人] and leave me a message!</h5>", unsafe_allow_html=True)
|
| 105 |
-
|
| 106 |
-
row2_col1, row2_col2,row2_col3,row2_col4 = st.columns([2,1,1,2])
|
| 107 |
-
with row2_col2:
|
| 108 |
-
st.markdown("<img src='https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png' style='margin-right:25px;width:200px;height:200px;'>", unsafe_allow_html=True)
|
| 109 |
-
with row2_col3:
|
| 110 |
-
st.markdown("<img src='https://dunazo.oss-cn-beijing.aliyuncs.com/blog/shoukuanma222.png' style='margin-right:25px;width:170px;height:190px;'>", unsafe_allow_html=True)
|
| 111 |
-
|
|
|
|
| 9 |
|
| 10 |
st.markdown("""
|
| 11 |
<h1 style='text-align: center;'>Lake Distribution map of Tibet Plateau 🏔️</h1>
|
| 12 |
+
<h3 style='text-align: center;'><font color=Blue>YuJunchuan </font>(AGRS)</h3>
|
| 13 |
+
<br/>
|
| 14 |
+
|
| 15 |
""", unsafe_allow_html=True)
|
|
|
|
| 16 |
|
| 17 |
+
row1_col1, row1_col2, row1_col3 = st.columns([6, 2,2])
|
| 18 |
|
| 19 |
Map = geemap.Map()
|
| 20 |
|
|
|
|
| 21 |
region = ee.FeatureCollection("projects/useful-tempest-341103/assets/water/TPBoundary")
|
| 22 |
|
|
|
|
| 23 |
datastart='2021-06-01'
|
| 24 |
dataend='2021-10-15'
|
| 25 |
|
|
|
|
| 41 |
|
| 42 |
pred = ee.Image("projects/useful-tempest-341103/assets/TPlake/pred");
|
| 43 |
|
|
|
|
| 44 |
def pred_mask(pred,threshold):
|
| 45 |
mask=pred.where(pred.lt(threshold),0).where(pred.gte(threshold),1).toInt()
|
| 46 |
mask=mask.setDefaultProjection('epsg:4326',None,10)
|
| 47 |
water=mask.updateMask(mask.gt(0.5))
|
| 48 |
return water
|
| 49 |
+
|
| 50 |
+
with row1_col3:
|
| 51 |
+
st.sidebar.title("About")
|
| 52 |
+
st.sidebar.info(
|
| 53 |
+
"""
|
| 54 |
+
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:
|
| 55 |
+
[GitHub](https://github.com/JunchuanYu) | [Zhihu](https://twitter.com/giswqs) .
|
| 56 |
+
|
| 57 |
+
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
|
| 58 |
+
"""
|
| 59 |
+
)
|
| 60 |
+
st.sidebar.title("Contect")
|
| 61 |
+
st.sidebar.info("Email: jason.yu.mail@qq.com")
|
| 62 |
+
|
| 63 |
with row1_col2:
|
| 64 |
# 选择底图模块
|
| 65 |
basemaps = ['HYBRID', 'SATELLITE', 'TERRAIN']
|
|
|
|
| 86 |
else:
|
| 87 |
Map.setCenter(87.745,33.092, zoom=6)
|
| 88 |
|
|
|
|
| 89 |
Threshold = st.slider('Threshold', 0, 255, 128)
|
| 90 |
water=pred_mask(pred,Threshold)
|
| 91 |
|
|
|
|
| 92 |
split = st.checkbox("Split View")
|
| 93 |
if split:
|
| 94 |
+
left_layer = geemap.ee_tile_layer(water, {'min': 0, 'max':1, 'palette': '0905ff'}, name='water',opacity=0.5)
|
| 95 |
right_layer = geemap.ee_tile_layer(S2, {'min': 0, 'max':3000, 'bands': ['B4', 'B3', 'B2']},name='Image',shown=False)
|
| 96 |
Map.split_map(left_layer, right_layer)
|
| 97 |
else:
|
| 98 |
Map.addLayer(water, {'min': 0, 'max':1, 'palette': '0905ff'}, name='water',opacity=0.7)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 99 |
|
| 100 |
+
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)
|
| 101 |
+
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)
|
| 102 |
+
|
| 103 |
|
| 104 |
with row1_col1:
|
| 105 |
Map.to_streamlit(height=750)
|
| 106 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|