QCN

The data from BRAZIL Fourth National Communication - (QCN) and Biannual Update Reports to the UNFCC has been made available by the MCTI in GEOPACKAGE format.

In this repository you can find:

(1) How we added, rasterized and exported the official data from GCP to Earth Engine; (2) The pixel-by-pixel rectification process by the weighted averages of the same document;

QCN_spatial

Based on the data available 1_Asset_v0-1 (MCTI, 2020), only one column was included. This column is obtained by relating the IBGE FITO to the LULC classes (Mapbiomas-C8, 2023) and generating the 'MB_C8' column.
**IBGE FITO** to the **LULC classes (Mapbiomas-C8, 2023)

Eg. Amazon - 1_Asset_v0-1

fito	c_abg	c_bgb	c_dw	c_litter	total	MB_C8
Aa	117.3	11.7	9.5	6.8	.....	3
Ab	133.9	13.4	10.9	7.7	.....	3
..	.....	.....	....	........	.....	......
Pa	43.9	16.2	4.8	1.6	.....	11

The original data are geopackages. To ingest assets tile it into Earth Engine (.EE), all the biomes had to be divided into tiles. Well, like the Amazon process, it was also done using tiles.

Results

Below you can consult the official data and rectified data. To do this, click on codeLink:

1.1 AGB

codeLink_EE_AGB.js👆

1.2 BGB

codeLink_EE_BGB.js👆

1.3 CDW

codeLink_EE_CDW.js👆

1.4 LIT

codeLink_EE_LIT.js👆

1.5 TOT

codeLink_EE_TOTAL.js👆

+INFO Assets QCN +i👆

Link to script - 'total👆' | Link to script - 'c_agb👆'

// Data official (total)
var data_Total_carbon = ee.ImageCollection('projects/mapbiomas-workspace/SEEG/2023/QCN/1_Asset_v0-1')
  .select('total') //.select('c_agb'; 'c_bgb'; 'c_dw'; 'c_litter'; '...'; 'total')
  .filterMetadata('biome', 'equals', 'amazonia')
  .mosaic();
  //.clip(AOI);
// MapaddLayer
var visFlo = {min: 0,max: 200,
  palette:["#fde725","#a0da39","#4ac16d","#1fa187","#277f8e","#365c8d","#46327e","#440154"]};
Map.addLayer(data_Total_carbon, visFlo,"data_Total_carbon");

Workflow ✨ +i👆

Folders 📂 are organized by key-steps ✨ and contain a set of codes {} following the QCN && QCN_rectify classification scheme:

1. ✨ Scripts +i👆 GEE.js