Parks and fires

/*
Copyright (c) 2022 Desmond Lartey.
This work is licensed under the terms of the MIT license.  
For a copy, see https://opensource.org/licenses/MIT
*/

//Mosaic every image collection input
var burn = ee.ImageCollection(burn).mosaic()
var precipitation = ee.ImageCollection(precipitation).mosaic()
var landcover = ee.ImageCollection(landcover).mosaic()

print(burn)
print(precipitation)
print(landcover)

//Select band you want from the image collection
var burn = ee.Image(burn).select('BurnDate')
var precipitation = ee.Image(precipitation).select('total_precipitation')
var landcover = ee.Image(landcover).select('discrete_classification')

//Add bands various bands
var trial = landcover.addBands(precipitation).addBands(burn)
print(trial)

var stats = trial.reduceRegions({
    collection: ParkMerged,
    reducer: ee.Reducer.mean(),
    scale: 500, // meters
    tileScale: 10
    //crs: 'EPSG:4326',
});

var dataset = ee.ImageCollection('MODIS/006/MCD64A1')
    .filter(ee.Filter.date('2017-01-01', '2018-05-01'));
var burnedArea = dataset.select('BurnDate');
var burnedAreaVis = {
    min: 30.0,
    max: 341.0,
    palette: ['4e0400', '951003', 'c61503', 'ff1901'],
};
//Map.setCenter(6.746, 46.529, 2);
Map.addLayer(burnedArea, burnedAreaVis, 'Burned Area');

//var listofparks = trial.toList(trial.size())
//print(listofparks)
Map.addLayer(ParkMerged)
Map.addLayer(burn)
Map.addLayer(precipitation)

// The input feature collection is returned with new properties appended.
// The new properties are the outcome of the region reduction per image band,
// for each feature in the collection. Region reduction property names
// are the same as the input image band names.
print('Results for all in zonal statistics?', stats);

//var park374 = ee.Image(listofparks.get(374))
//var park374 = park374.clip(ParkMerged)
//print(park374)


var dataset = ee.ImageCollection('MODIS/006/MCD64A1')
    .filter(ee.Filter.date('2000-01-31', '2020-12-31'));
burnedArea = dataset.select('BurnDate');

//Map.addLayer(park374.select('total_precipitation'), burnedAreaVis, 'Burned Area')
Map.setCenter(6.746, 46.529, 2);
Map.addLayer(burnedArea, burnedAreaVis, 'Burned Area');
print(burnedArea)

var dataset = ee.ImageCollection("ECMWF/ERA5_LAND/MONTHLY")
    .filter(ee.Filter.date('2020-07-01', '2020-08-01'));

var visualization = {
    bands: ['temperature_2m'],
    min: 250.0,
    max: 320.0,
    palette: [
        "#000080", "#0000D9", "#4000FF", "#8000FF", "#0080FF", "#00FFFF",
        "#00FF80", "#80FF00", "#DAFF00", "#FFFF00", "#FFF500", "#FFDA00",
        "#FFB000", "#FFA400", "#FF4F00", "#FF2500", "#FF0A00", "#FF00FF",
    ]
};

Map.setCenter(22.2, 21.2, 0);

Map.addLayer(dataset, visualization, "Air temperature [K] at 2m height");



var dataset = ee.Image("COPERNICUS/Landcover/100m/Proba-V-C3/Global/2019")
    .select('discrete_classification');

Map.setCenter(-88.6, 26.4, 1);

Map.addLayer(dataset, {}, "Land Cover");
print(dataset)