Justin Braaten jdbcode

## medium_chart_doc_update_ex_02.js
var collection = ee.ImageCollection('MODIS/006/MOD13A2');
var band = 'NDVI';
var where = ee.Geometry.Point([-93.51, 35.76]);
print(ui.Chart.image.doySeriesByYear(collection, band, where));

## medium_chart_doc_update_ex_03.js
var what = ee.ImageCollection('MODIS/006/MOD13A2').select('NDVI');
var where = ee.FeatureCollection([
  ee.Feature(ee.Geometry.Point([-93.51, 35.76]), {'veg_type': 'Deciduous'}),
  ee.Feature(ee.Geometry.Point([-122.06, 37.01]), {'veg_type': 'Coniferous'})
]);
var how = ee.Reducer.mean();
var by = 'veg_type';
print(ui.Chart.image.seriesByRegion(what, where, how, null, null, null, by));

## medium_chart_doc_update_ex_04.js
var what = ee.ImageCollection('MODIS/006/MOD13A2').select('NDVI');
var where = ee.Geometry.Point([-93.51, 35.76]);
var chartStyle = {
  title: 'ggplot2 Default Chart Style',
  colors: ['F8766D'],
  hAxis: {
    title: 'Observation Date',
    titleTextStyle: {italic: false, bold: true},
    gridlines: {color: 'FFF'},
    baselineColor: 'FFF'

## gee_calculate_tc.ipynb

      
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                jdbcode
                / gee_calculate_tc.ipynb
            
            
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              March 19, 2021 20:54
            
              
                Calculate Landsat surface reflectance Tasseled Cap transformation using Earth Engine
              
          
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## naip_in_earth_engine.ipynb

      
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                jdbcode
                / naip_in_earth_engine.ipynb
            
            
              Created
              April 21, 2021 22:08
            
              
                naip_in_earth_engine.ipynb
              
          
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## ee_pdsi_chart_altair_ggplot2.ipynb

      
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                jdbcode
                / ee_pdsi_chart_altair_ggplot2.ipynb
            
            
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              April 27, 2021 21:20
            
              
                Earth Engine PDSI data reduction plotted with Altair and ggplot2 
              
          
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## medium_rstudio_cloud_rgee_ndvi.R
library(rgee)
library(sf)
library(magick)

ee_Initialize()

mask <- system.file("shp/arequipa.shp", package = "rgee") %>%
  st_read(quiet = TRUE) %>%
  sf_as_ee()

## medium_rstudio_cloud_rgee_eemont_ndwi.R
library(rgee)
library(RColorBrewer)
library(reticulate)

ee_Initialize()
eemont <- reticulate::import("eemont")

point <- ee$Geometry$Point(c(-76.9, 7.2))

L8 <- (ee$ImageCollection('LANDSAT/LC08/C01/T1_SR')

## medium_rstudio_cloud_rgee_precip.R
library(rgee)
library(tidyverse)
library(sf)

ee_Initialize()

nc <- st_read(system.file("shape/nc.shp", package = "sf"), quiet = TRUE)

terraclimate <- (ee$ImageCollection("IDAHO_EPSCOR/TERRACLIMATE")
                     $filterDate("2001-01-01", "2002-01-01")

## medium_rstudio_cloud_rgee_nightlights.R
library(rgee)

ee_Initialize()

createTimeBand <- function(img) {
  year <- (ee$Date(img$get("system:time_start"))
               $get("year")$subtract(1991L))
  ee$Image(year)$byte()$addBands(img)
}
	var collection = ee.ImageCollection('MODIS/006/MOD13A2');
	var band = 'NDVI';
	var where = ee.Geometry.Point([-93.51, 35.76]);
	print(ui.Chart.image.doySeriesByYear(collection, band, where));
	var what = ee.ImageCollection('MODIS/006/MOD13A2').select('NDVI');
	var where = ee.FeatureCollection([
	ee.Feature(ee.Geometry.Point([-93.51, 35.76]), {'veg_type': 'Deciduous'}),
	ee.Feature(ee.Geometry.Point([-122.06, 37.01]), {'veg_type': 'Coniferous'})
	]);
	var how = ee.Reducer.mean();
	var by = 'veg_type';
	print(ui.Chart.image.seriesByRegion(what, where, how, null, null, null, by));
	var what = ee.ImageCollection('MODIS/006/MOD13A2').select('NDVI');
	var where = ee.Geometry.Point([-93.51, 35.76]);
	var chartStyle = {
	title: 'ggplot2 Default Chart Style',
	colors: ['F8766D'],
	hAxis: {
	title: 'Observation Date',
	titleTextStyle: {italic: false, bold: true},
	gridlines: {color: 'FFF'},
	baselineColor: 'FFF'
	library(rgee)
	library(sf)
	library(magick)

	ee_Initialize()

	mask <- system.file("shp/arequipa.shp", package = "rgee") %>%
	st_read(quiet = TRUE) %>%
	sf_as_ee()
	library(rgee)
	library(RColorBrewer)
	library(reticulate)

	ee_Initialize()
	eemont <- reticulate::import("eemont")

	point <- ee$Geometry$Point(c(-76.9, 7.2))

	L8 <- (ee$ImageCollection('LANDSAT/LC08/C01/T1_SR')
	library(rgee)
	library(tidyverse)
	library(sf)

	ee_Initialize()

	nc <- st_read(system.file("shape/nc.shp", package = "sf"), quiet = TRUE)

	terraclimate <- (ee$ImageCollection("IDAHO_EPSCOR/TERRACLIMATE")
	$filterDate("2001-01-01", "2002-01-01")
	library(rgee)

	ee_Initialize()

	createTimeBand <- function(img) {
	year <- (ee$Date(img$get("system:time_start"))
	$get("year")$subtract(1991L))
	ee$Image(year)$byte()$addBands(img)
	}