litter_extract

var start = ee.Date('2019-01-01');
var finish = ee.Date('2019-01-02');
var bbox = ee.Geometry.Rectangle({coords:[-180,-90,180,60],geodesic:false});

var biomass = ee.Image('WHRC/biomass/tropical').select('Mg');
print(biomass,'biomass');


//var frp = ee.ImageCollection("NOAA/GOES/16/FDCF").select('Power').filterDate(start,finish).sum();
//var bbox = ame.bounds();
//print(frp,'frp');

var litter = ee.FeatureCollection("users/dsandovalhdh/litter_sample").filterBounds(bbox);
print(litter,'litter');

Map.addLayer(litter);
//aggregation to monthly
var data_month = ee.List.sequence(0, 155).map(function(n) { // .sequence: number of years from starting year to present
  var start = ee.Date('2003-01-01').advance(n, 'month'); // Starting date
  var end = start.advance(1, 'month'); // Step by each iteration
  
  var laimean=  ee.ImageCollection("MODIS/006/MYD15A2H")
 .select('Lai_500m')
 .filterDate(start,end)
 .mean().multiply(0.1).reproject('EPSG:4326', null, 500)
 .set('date', start);
 
 return laimean;
 //return dlai.addBands(alph).addBands(gpp);
 //return frp;
});
data_month = ee.ImageCollection(data_month);

print(data_month,'data_month');

var values = data_month.map(function(image) {
  return image.reduceRegions({
     collection: litter,
     reducer: ee.Reducer.mean(),
     scale: 1000
  }).map(function(feature) {
     // Add some identifying information from the image.
     return feature.set('date', image.get('date'))
  })
}).flatten();
// console.log(values);
Export.table.toDrive(values,
"Fire_analysis",
"ROS_cor",
"ROS_cor");