Alex Kappel alexkapps

##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

##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

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

None of these are pansharpened (YET)

	#######################################################################
	###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"

	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():

	#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')

	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,

Alex Kappel alexkapps

Natural Disasters:

None of these are pansharpened (YET)

Amazon (LC82250602013174LGN00)

Palestine/Israel (LC81740382014188LGN00)

	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console