In the dry season a lot of blue water is used by vegetation.
Use the code below to make the distinction between Blue an Green water used for evapotranspiration.
//SERVIR-MEKONG 2016
//AUTHORS: Ate Poortinga
//CONTACT INFORMATION:
//Date:
//LINK TO REFERENCE SCRIPT(S):
//LINK TO REPORT(S):
//////////////////////
//BUILD: Land Cover
//PURPOSE:
//SENSORS:
/////////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////////
// User specified parameters
// Data
// import ET data
var ET = ee.ImageCollection("users/atepoortinga/MekongEtdata")
// setup the vizualization
var et_viz = {min:0.0, max:150, palette:"000000,0000FF,FDFF92,FF2700,FF00E7"};
// Data
// variables for start and end year
var startyear = 2006;
var endyear = 2006;
var months = ee.List.sequence(1,12);
// variables for start and end month
var startmonth = 1;
var endmonth = 1;
// define start and end date
var startdate = ee.Date.fromYMD(startyear,startmonth,1);
var enddate = ee.Date.fromYMD(endyear+1,endmonth,1);
// create list for years
var years = ee.List.sequence(startyear,endyear);
// polygon for the red river
var Ca = ee.FeatureCollection('ft:11uQewh4u7NFXneH99YPs6P9F1Au6wxBq959BZWt_','geometry');
// set visualizaton parameters
var et_viz = {min:0.0, max:200, palette:"000000,0000FF,FDFF92,FF2700,FF00E7"};
// Functions
// select ET for time range
var ET = ET.filterDate(startdate, enddate)
// Sort chronologically in descending order.
.sort('system:time_start', false)
.filterBounds(Ca);
// select P for time range
var P = chirps.filterDate(startdate, enddate)
// Sort chronologically in descending order.
.sort('system:time_start', false)
.filterBounds(Ca);
// calculate the et for each month
var allET = ee.ImageCollection.fromImages(
years.map(function (y) {
return months.map(function(m){
var w = ET.filter(ee.Filter.calendarRange(y, y, 'year'))
.filter(ee.Filter.calendarRange(m, m, 'month'))
.sum();
return w.set('year', y)
.set('month', m)
.set('date', ee.Date.fromYMD(y,m,1))
.set('system:time_start',ee.Date.fromYMD(y,m,1))
});
}).flatten());
// calculate the P for each month
var allP = ee.ImageCollection.fromImages(
years.map(function (y) {
return months.map(function(m){
var w = P.filter(ee.Filter.calendarRange(y, y, 'year'))
.filter(ee.Filter.calendarRange(m, m, 'month'))
.sum();
return w.set('year', y)
.set('month', m)
.set('date', ee.Date.fromYMD(y,m,1))
.set('system:time_start',ee.Date.fromYMD(y,m,1))
});
}).flatten());
// combine the two datasets
var myCollection = allP.combine(allET);
print(myCollection)
// calculate the Incremental ET
myCollection = myCollection.map(function(img){
var myimg = img.expression("(p - et) ",
{
p: img.select("precipitation"),
et: img.select("b1"),
});
myimg = myimg.lt(0).multiply(myimg).multiply(-1)
return img.addBands(myimg.rename('incrementalET'));
})
print(myCollection)
var viz = {min:0.0, max:1000, palette:"ff0000,ff8800,fffa00,4cff00,00ffe1,0400ff,ff00ff"};
Map.addLayer(myCollection.select('incrementalET').sum().clip(Ca),viz,"incremental ET");
// landuse map
var luse = ee.FeatureCollection('ft:1Hgt_gN4R7opnaFxamqJsJnkic_WWunxgbBtHsT5J','geometry');
// Predefine the chart titles.
var title = {
title: 'ET',
hAxis: {title: 'Time'},
vAxis: {title: 'ET (mm)'},
};
// setup the chart
var chart = ui.Chart.image.seriesByRegion(myCollection, luse, ee.Reducer.mean(), 'b1', 2500, 'system:time_start', 'landuse')
.setOptions(title)
.setChartType('ColumnChart');
// plot the chart
print(chart)
// Predefine the chart titles.
var title = {
title: 'Incremental ET',
hAxis: {title: 'Time'},
vAxis: {title: 'ET incremental (mm)'},
};
// setup the chart
var chart = ui.Chart.image.seriesByRegion(myCollection, luse, ee.Reducer.mean(), 'incrementalET', 2500, 'system:time_start', 'landuse')
.setOptions(title)
.setChartType('ColumnChart');
// plot the chart
print(chart)
// center the map
Map.centerObject(Ca, 5);