👨‍💻

Kel Markert KMarkert

👨‍💻

Cloud Geographer @google | PhD in Civil Engineering (hydrology) from @BYU-Hydroinformatics

KMarkert / mapbox_example.html

Last active March 10, 2020 16:52

	<!DOCTYPE html>
	<html>

	<head>
	<meta charset="utf-8" />
	<title>AQ-ML Data Extractor</title>
	<meta name="viewport" content="initial-scale=1,maximum-scale=1,user-scalable=no" />
	<script src="https://api.tiles.mapbox.com/mapbox-gl-js/v1.6.0/mapbox-gl.js"></script>
	<link href="https://api.tiles.mapbox.com/mapbox-gl-js/v1.6.0/mapbox-gl.css" rel="stylesheet" />
	<script src='https://api.mapbox.com/mapbox-gl-js/plugins/mapbox-gl-draw/v1.0.9/mapbox-gl-draw.js'></script>

KMarkert / cors_server.py

Created March 10, 2020 17:43

simple cors_server for accessing files while developing on web app

	import SimpleHTTPServer
	class CORSHTTPRequestHandler(SimpleHTTPServer.SimpleHTTPRequestHandler):
	def send_head(self):
	"""Common code for GET and HEAD commands.
	This sends the response code and MIME headers.
	Return value is either a file object (which has to be copied
	to the outputfile by the caller unless the command was HEAD,
	and must be closed by the caller under all circumstances), or
	None, in which case the caller has nothing further to do.
	"""

KMarkert / smap_l2_9km_gridding.ipynb

Last active June 22, 2020 18:45

smap_l2_9km_gridding.ipynb

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KMarkert / sklearn_rf_to_ee_string.py

Last active February 26, 2021 04:51

	import numpy as np
	import pandas as pd

	def sklearn_tree_to_ee_string(estimator, feature_names):

	# extract out the information need to build the tree string
	n_nodes = estimator.tree_.node_count
	children_left = estimator.tree_.children_left
	children_right = estimator.tree_.children_right
	feature_idx = estimator.tree_.feature

KMarkert / gee_colocate_spectra.py

Created August 11, 2020 22:51

	import ee
	import math
	import numpy as np
	import datetime
	import pandas as pd
	#from atmospheric import Atmospheric

	ee.Initialize()

	# global variables using in functions

KMarkert / ee_jl_test.jl

Created August 15, 2020 16:09

	using PyCall;

	# import the ee Python module into Julia
	# and initialize the EE API
	ee = pyimport("ee");
	ee.Initialize();

	# load in ee.Image and sample a point
	dem = ee.Image("USGS/SRTMGL1_003");
	xy = ee.Geometry.Point([86.9250, 27.9881]...);

KMarkert / ee_test.jl

Created August 15, 2020 16:16

	using PyCall;

	# import the ee Python module into Julia
	# and initialize the EE API
	ee = pyimport("ee");
	ee.Initialize();

	# load in ee.Image and sample a point
	dem = ee.Image("USGS/SRTMGL1_003");
	xy = ee.Geometry.Point([86.9250, 27.9881]...);

KMarkert / ee_sampling.jl

Last active August 15, 2020 17:47

	using PyCall, Plots;
	theme(:bright);

	# import the ee Python module into Julia
	# and initialize the EE API
	ee = pyimport("ee");
	ee.Initialize();

	# produce tabular data that can be plotted by data visualization in Julia
	# Fetch a Landsat image.

KMarkert / ee_ndvi.jl

Created August 15, 2020 16:19

	using PyCall, Plots, Colors, FileIO;

	# import the ee Python module into Julia
	# and initialize the EE API
	ee = pyimport("ee");
	ee.Initialize();

	# produce tabular data that can be plotted by data visualization in Julia
	# Fetch a Landsat image.
	img = ee.Image("LANDSAT/LT05/C01/T1_SR/LT05_034033_20000913");

KMarkert / LA011201_basin.geojson

Created September 2, 2020 04:35

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