推导和整理photosynthesis，极简登场

README.md

@@ -1,8 +1,8 @@
 # BEPS.jl
 
-[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://CUG-hydro.github.io/BEPS.jl/dev)
-[![CI](https://github.com/CUG-hydro/BEPS.jl/actions/workflows/CI.yml/badge.svg)](https://github.com/CUG-hydro/BEPS.jl/actions/workflows/CI.yml)
-[![Codecov](https://codecov.io/gh/CUG-hydro/BEPS.jl/branch/master/graph/badge.svg)](https://app.codecov.io/gh/CUG-hydro/BEPS.jl/tree/master)
+[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://jl-pkgs.github.io/BEPS.jl/dev)
+[![CI](https://github.com/jl-pkgs/BEPS.jl/actions/workflows/CI.yml/badge.svg)](https://github.com/jl-pkgs/BEPS.jl/actions/workflows/CI.yml)
+[![Codecov](https://codecov.io/gh/jl-pkgs/BEPS.jl/branch/master/graph/badge.svg)](https://app.codecov.io/gh/jl-pkgs/BEPS.jl/tree/master)
 
 Boreal Ecosystem Productivity Simulator in Julia
 
@@ -22,16 +22,16 @@ Boreal Ecosystem Productivity Simulator in Julia
 - For developers
 
   ```bash
-  git clone https://github.com/CUG-hydro/BEPS.jl
+  git clone https://github.com/jl-pkgs/BEPS.jl
   cd BEPS.jl/deps
-  git clone https://github.com/CUG-hydro/BEPS.c
+  git clone https://github.com/jl-pkgs/BEPS.c
   ```
 
 - For users
 
   ```bash
   # In Julia
-  ] add https://github.com/CUG-hydro/BEPS.jl
+  ] add https://github.com/jl-pkgs/BEPS.jl
   ```
 
 ## Usage

data/ee_extract.py

@@ -0,0 +1,74 @@
+import argparse
+import ee
+import pandas as pd
+
+# Dongdong Kong
+# js版本已经测试通过
+# 这是GPT3.5自动翻译的代码，可能会存在bug。
+# https://code.earthengine.google.com/027ef28c2f7f304be6c7ebed95f5e1cc?noload=1
+
+# Initialize the Earth Engine library
+ee.Initialize()
+
+
+def image_extract_points(img, points, proj=None, set_date=False):
+  if proj == None:
+    proj = img.projection().getInfo()
+  options = {
+      'collection': points,
+      'reducer': 'first',
+      'crs': proj['crs'],
+      'crsTransform': proj['transform'],
+      'tileScale': 16
+  }
+  date = ee.Date(img.get('system:time_start')).format('yyyy-MM-dd')
+
+  def tidy_props(f):
+    f = ee.Feature(None).copyProperties(f)
+    if set_date:
+      f = f.set('date', date)
+    return f
+  return img.reduceRegions(**options).map(tidy_props)
+
+
+def col_extract_points(col, task, points):
+  proj = col.first().select(0).projection().getInfo()
+  res = col.map(lambda img: image_extract_points(
+      img, points, proj, set_date=True)).flatten()
+
+  ee.batch.Export.table.toDrive(
+      collection=res,
+      description=task,
+      folder="gee",
+      fileNamePrefix=task,
+      fileFormat="GeoJSON"
+  ).start()
+
+
+def export_image(img, task, prefix=""):
+  task = prefix + task
+  proj = img.projection().getInfo()
+
+  # Export the image to Drive as a GeoTIFF file
+  ee.batch.Export.image.toDrive(
+      image=img,
+      description=task,
+      folder="gee",
+      crs=proj['crs'],
+      crsTransform=proj['transform'],
+      maxPixels=1e13,
+      fileNamePrefix=task,
+      fileFormat='GeoTIFF'
+  ).start()
+
+
+def shp2df(fc, outfile=None):
+  data = fc.getInfo().get('features')
+  props = [x["properties"] for x in data]
+  df = pd.DataFrame(props)
+  if None != outfile:
+    df.to_csv(outfile, index=False)
+  return df
+
+def hello():
+  print("Hello, World!")

data/ee_extractor.py

@@ -1,3 +1,12 @@
+# %%
+## add pwd to path
+# import os
+# import sys
+# sys.path.append(os.getcwd())
+
+from ee_extract import *
+
+
 # %%
 import argparse
 import ee
@@ -13,23 +22,6 @@
 
 # %%
 # Define the function to extract points from an image (internal)
-def image_extract_points(img, points, proj=None, set_date=False):
-  if proj == None: proj = img.projection().getInfo()
-  options = {
-      'collection': points,
-      'reducer': 'first',
-      'crs': proj['crs'],
-      'crsTransform': proj['transform'],
-      'tileScale': 16
-  }
-  date = ee.Date(img.get('system:time_start')).format('yyyy-MM-dd')
-
-  def tidy_props(f):
-    f = ee.Feature(None).copyProperties(f)
-    if set_date: f = f.set('date', date)
-    return f
-
-  return img.reduceRegions(**options).map(tidy_props)
 
 def shp2df(fc, outfile=None):
   data = fc.getInfo().get('features')
@@ -57,34 +49,6 @@ def shp2df(fc, outfile=None):
 
 # %%
 # Define the function to export an image to Drive
-def export_image(img, task, prefix=""):
-    task = prefix + task
-    proj = img.projection().getInfo()
-
-    # Export the image to Drive as a GeoTIFF file
-    ee.batch.Export.image.toDrive(
-        image=img,
-        description=task,
-        folder="gee",
-        crs=proj['crs'],
-        crsTransform=proj['transform'],
-        maxPixels=1e13,
-        fileNamePrefix=task,
-        fileFormat='GeoTIFF'
-    ).start()
-
-# Define the function to extract points from an image collection
-def col_extract_points(col, task, points):
-    proj = col.first().select(0).projection().getInfo()
-    res = col.map(lambda img: image_extract_points(img, points, proj, set_date=True)).flatten()
-
-    ee.batch.Export.table.toDrive(
-        collection=res,
-        description=task,
-        folder="gee",
-        fileNamePrefix=task,
-        fileFormat="GeoJSON"
-    ).start()
 
 def main():
     parser = argparse.ArgumentParser(description="Google Earth Engine Command Line Tool")

data/s1_GEE.qmd

@@ -3,7 +3,7 @@
 
 ```{julia}
 using EarthEngine
-# Initialize()
+Initialize()
 
 dem = EE.Image("USGS/SRTMGL1_003")
 xy = Point(86.9250, 27.9881)

src/DataType/Constant.jl

@@ -94,7 +94,7 @@ const ekc::Float64 = 80500.0     # Activation energy for K of CO2; J mol-1
 const eko::Float64 = 14500.0     # Activation energy for K of O2, J mol-1
 const erd::Float64 = 38000.0     # activation energy for dark respiration, eg Q10=2
 const ektau::Float64 = -29000.0  # J mol-1 (Jordan and Ogren, 1984)
-const tk_25::Float64 = 298.16    # absolute temperature at 25 C
+const TK25::Float64 = 298.16    # absolute temperature at 25 C
 const toptvc::Float64 = 301.0    # optimum temperature for maximum carboxylation
 const toptjm::Float64 = 301.0    # optimum temperature for maximum electron transport
 const eabole::Float64 = 45162.0    # activation energy for bole respiration for Q10 = 2.02