GET TO KNOW THE STEPS OF THE MAPBIOMAS ALERT METHODOLOGY
Below you will find the main characteristics, the way of organizing the work and the overview of the MapBiomas Alert method to validate and refine, with high resolution images, deforestation alerts in Brazilian biomes.
GENERAL CHARACTERISTICS
All alerts and respective deforestation reports are produced from the analysis and supervised classification of PlanetScope satellite images of 3-5 m resolution and daily frequency.
The entire process is done with extensive use of machine learning algorithms (machine learning) through the Google Earth Engine platform that offers immense processing capacity in the cloud.
The work is organized in cells (tiles) of 5 x 5 km. The definition of cells/tiles to be analyzed is based on deforestation alerts generated by the systems of the responsible institutions according to the table below:
|
Alert system |
Provider institution |
Covered biomes |
|
DETER |
INPE |
Amazon and Cerrado |
|
SAD |
IMAZON |
Amazon |
|
SAD Caatinga |
UEFS e Geodatin |
Caatinga |
|
SAD Atlantic forest |
Arcplan, SOS Atlantic forest |
Atlantic forest, Wetland |
|
SipamSAR |
Censipam |
Amazon |
|
Sirad X |
ISA, Network Xingu + |
Amazon, Xingu basin |
|
GLAD |
University os Maryland |
Pampa, Wtland and Atlantic Forest |
|
Atlas of the Atlantic Forest |
SOS Mata Atlântica Foundation |
Atlantic Forest |
|
PRODES |
INPE |
Amazon and Cerrado |
HOW WE ORGANIZE
To carry out the validation and refinement of alerts, teams of programmers, remote sensing specialists and conservation and land use specialists are organized into teams for each biome, in addition to the technology and systems support team.
OVERVIEW OF THE METHOD
The diagram below illustrates the main steps in the process of validating and refining deforestation alerts in Brazilian biomes.
SOURCE OF CROSS DATA
Once validated and refined with high resolution images, the alerts are crossed with land and inspection information, such as indigenous territories, conservation units, settlements, Rural Environmental Registry (CAR) areas, including Permanent Preservation Areas (APP) and Legal Reserve (RL), in addition to embargo areas, suppression authorizations and the Sinaflor do Ibama forest management plan. Alerts are also located in geographic limits such as municipalities, states, biomes and watershed.
In the MapBiomas Alerta Platform, alerts can be visualized in different basemaps (backgrounds), such as Google Earth images (without associated date), Google Maps 2D, monthly mosaics of Planet images and the most current collection of annual maps of MapBiomas Brazil land use and coverage.
This information qualifies the alerts and complements the reports with relevant information for the user bodies.
| Layer | Year | Description | Reference | Site to download |
| APP | 2021 | Permanent Preservation Areas | SFB, 2021 | https://sistemas.florestal.gov.br/geoserver/ows |
| Countries | 2018 | Map of Brazil (political boundary) | IBGE, 2018 | ftp://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2015/Brasil/BR/ |
| States | 2018 | Map of the States of Brazil | IBGE, 2018 | ftp://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2015/Brasil/BR/ |
| Municipalities | 2018 | Map of the Municipalities of Brazil | IBGE, 2018 | ftp://geoftp.ibge.gov.br/organizacao_do_territorio/malhas_territoriais/malhas_municipais/municipio_2015/Brasil/BR/ |
| Biomes | 2019 | Map of Brazilian biomes 1: 250,000 (IBGE, 2020) | MapBiomas,2016 | https:https://drive.google.com/open?id=0Byp5eRWoQ-PkWUpXNHRGMTdkcTg |
| Hydrographic Regions | Map of watersheds level 1, scale 1: 1,000,000 | ANA | http://dadosabertos.ana.gov.br/datasets?group_ids=084346aa5c18467782432f48bb687f83 | |
| Watersheds level | Map of the Indigenous Lands of Brazil | ANA | http://dadosabertos.ana.gov.br/datasets?group_ids=084346aa5c18467782432f48bb687f83 | |
| CNUC | 2019 | Conservation Units in Brazil | MMA, 2019 | http://mapas.mma.gov.br/i3geo/ogc.htm |
| Settlements |
2017 | Settlement map | INCRA, 2017 | http://acervofundiario.incra.gov.br/acervo/acv.php |
| CAR | 2018 | Areas Rural Environmental Registry | Brazilian Forest Service, 2018 | https://sistemas.florestal.gov.br/geoserver |
| Embargo | 2019 | Embargo areas | Sinaflor, | http://siscom.ibama.gov.br/geoserver/ |
| Authorizations | 2019 | Permits for suppression and forest management | Sinaflor/Ibama, SEMA-MT, SEMA-PA |
http://siscom.ibama.gov.br/geoserver/ |
| Rural real estate - INCRA SIGEF | 2019 | Delimitation of rural real estate |
SIGEF/ INCRA |
https://sigef.incra.gov.br/ |
IMAGE USED
MapBiomas Alerta uses high spatial resolution images of Planet (3.7 meters) and Sentinel-2 (10 meters), both with four spectral bands.
For each alert, dozens of daily images are checked to select two images, one before and one after deforestation, recording the identification of the images and the date of acquisition in the alert report.