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Alex Kappel alexkapps

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alexkapps / L8_processing_baiji.sh
Last active August 29, 2015 14:03
#######################################################################
###BASH FOR PROCESSING LANDSAT 8 (8-BIT CONVERSION NEEDED AND INCLUDED)
########################################################################
###MAKE SURE IMAGERY ZIP FILE IS IN L8_IMAGERY FOLDER ON DESKTOP
###THIS SPECIFIC COLOR TWEAKING WAS DESIGNED FOR BAIJI IRAQ AND THEREFORE
###WILL BEST FIT DESERT REGIONS!
Folder="Baiji_Jun18"
@alexkapps
alexkapps / NK_Blog_draft.md
Last active August 29, 2015 14:03

##Visualizing North Korea's Worst Drought in Decades

The Democratic Peoples Republic of Korea is currently experiencing the worst drought it has seen in over a decade. According to reports, some areas have experienced 70 days without rain as well as the lowest rainfall levels since 1961.

As food shortages are already a problem for North Korea, the damage that this drought will likely cause for harvests is cause for alarm.

There are reports of imacts on spring ploughing and paddy field preparation as well as of military mobilization in attempts to divert surface water towards crops.

The map below displays the difference between this years vegetation (an excellent proxy for drought) and a baseline constructed from averaged vegetation levels for the past 5 years (2009-2013). Red areas are cause for alarm as they define the most drought-a

@alexkapps
alexkapps / NK_Blog_draft.md
Last active August 29, 2015 14:03 — forked from ianschuler/NK_Blog_draft.md

##Visualizing North Korea's Worst Drought in Decades

The Democratic Peoples Republic of Korea (North Korea) is experiencing its worst drought in over a decade. According to reports, some areas have experienced 70 days without rain as well as the lowest rainfall levels since 1961. As food shortages are already a problem for North Korea, the damage that this drought will likely cause for harvests is cause for serious alarm. Food shortages in the 1990s led to an estimated million deaths.

We used satellite data to measure what areas are most impacted by the drought. We examined MODIS Normalized Difference Vegetation Index (NDVI) data to evaluate current vegetation levels across the country as a proxy for drought. The map below shows the difference between current vegetation le

@alexkapps
alexkapps / 0_reuse_code.js
Created July 8, 2014 17:48
Here are some things you can do with Gists in GistBox.
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console
@alexkapps
alexkapps / Mexico_Disasters.md
Last active August 29, 2015 14:04

Natural Disasters:

History of Thrust and Megathrust earthquakes

  • point data and radius of effect (does magnitude have associated radius?)
  • Seismic Activity? Livestream from somewhere monitoring online?

History of Floods in Mexico

  • Raster surface showing former incidents of flood? SRTM data to show lowland elevations more prone to flooding?

History of Hurricanes

@alexkapps
alexkapps / L8-test.md
Last active August 29, 2015 14:05

None of these are pansharpened (YET)

Amazon (LC82250602013174LGN00)

image

Palestine/Israel (LC81740382014188LGN00)

@alexkapps
alexkapps / folium_pandas_ex.py
Created July 20, 2015 16:44
Plotting lat+lon from a csv on a simple leaflet map using folium and pandas
import pandas, folium
inputfile = '/home/alex/Desktop/test/data/level_1a.tsv'
df1a = pandas.read_csv(inputfile, sep='\t')
map_1 = folium.Map(location=[34.5242, 69.17935], zoom_start=7)#, width='100%', height='100%')
for index, row in df1a.iterrows():
@alexkapps
alexkapps / dms_string_to_dd.py
Last active March 18, 2016 22:09
#converts DMS lat/long format columns like '89444400','89444400' to decimal degrees
#Author: Alex Kappel
import pandas as pd
#assigns file location
input_path = '~/Documents/test.csv'
#imports csv
df = pd.read_csv(input_path, sep=',', encoding='utf-8')
@alexkapps
alexkapps / nbi_sample.csv
Created March 18, 2016 22:09 — forked from jonahadkins/nbi_sample.csv
nbi sample data
We can make this file beautiful and searchable if this error is corrected: It looks like row 6 should actually have 24 columns, instead of 2. in line 5.
STATE_CODE_001,STRUCTURE_NUMBER_008,COUNTY_CODE_003,FEATURES_DESC_006A,latitude,longitude,OWNER_022,FUNCTIONAL_CLASS_026,YEAR_BUILT_027,ADT_029,YEAR_ADT_030,OPEN_CLOSED_POSTED_041,STRUCTURE_TYPE_043B,OPR_RATING_METH_063,OPERATING_RATING_064,INV_RATING_METH_065,INVENTORY_RATING_066,YEAR_RECONSTRUCTED_106,PERCENT_ADT_TRUCK_109,FUTURE_ADT_114,YEAR_OF_FUTURE_ADT_115,SUFFICIENCY_RATING,lat_decimal_degrees,lon_decimal_degrees
22,AFLAAWUB06103 ,15,Macks Bayou ,32313200,934032238,72,14,1998,2000,2008,P,1,0,32.4,0,32.4,0.0,5,6500,2030,92.5,32.5255555556,93.6755555556
55,P48005000000000,95,APPLE RIVER ,45272460,921849800,3,9,1978,440,1998,P,1,1,34.0,1,22.7,0.0,0,440,2031,84.2,45.4566666667,92.3136111111
26,13699,3,WERNERS CREEK ,46095980,870402900,21,9,1922,5,2013,A,2,8,55.7,8,43.1,1980.0,0,6,2033,48.0,46.1663888889,87.0672222222
18, 1IN3365,101,Turkey Creek ,38510620,867475990,73,9,2003,600,2008,A,19,1,54.4,1,32.6,0.0,10,650,2029,98.6,38.8516666667,87.2541666667
24,
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alexkapps / turbo.geojson
Last active May 2, 2016 19:20
web mapping workshop content
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