Homologation of Global and National Forest Cover Products

Current location of last script used (in Nimbus): ''' r{ /storage/home/TU/tug76452/Forest_Armonization/Forest_homologation/R } '''

This is the base for a package to obtain forest cover maps from the Global Forest Cover dataset by Hansen et al (2013) and run a pixelwise comparison with Colombian Forest Cover Datasets produced by the Forests and Carbon Monitoring System - SMBYC at the National Institute for Meteorology and Environmental Studies (IDEAM).

Introduction

Background and importance

"lit review'

Objectives

  1. Assess the level of agreement between forest cover products by iteratively comparing multiple canopy cover for GLAD forest products with the national forest cover assessment
  2. Identify the threshold that produces the highest level of overall agreement between both datasets
  3. Perform the process for ecologically homogeneous spatial units.

Specific:

Fill spatial and temporal gaps in national forest coverage reporting, but homogenized to the national standards (policy) Reduce costs and increase speed in obtaining new data.

Use local experience and datasets as validation datasets wit ha sample = population

Identify-> assess over/sub register of forest coverage/forest loss in the national dataset.

Materials and Methods

Study Area

Continental extent of Colombia, divided in 379 spatial units (biomes).

Biomes

GLAD Forest Cover Data

IDEAM SMBYC Forest Cover Data

Method

Obtain Forest cover maps for multiple canopy cover thresholds between 20-100% from GLAD for two different years (2010-2017). Scripts and the documentation of the forest harmonization and assessment between the GLAD global forest maps (Hansen et al, 2013) and the forest/no forest maps produced by the SMBYC program at IDEAM (Galindo, 2014). Extract change maps between both dates. Split the change maps at the bioma level

Sections

  1. Documentation
  2. Paths
  3. Code
  4. Numeric output
  5. Graphic output.

How is it possible that i still don't know where the Masked and unmasked rasters are and what the last version of the code is! \In NIMBUS:

  1. path=("/storage/home/TU/tug76452/biotablero/binary/Container_tmp"). Final masked armonized masks. Need the unmasked.