K&C Phase 4 – Status report

Validation of Deforestation Detected by the JJ-FAST in the

Brazilian Amazon

Edson E. Sano

Brazilian Institute for Environment

IBAMA/Brazil

Science Team meeting #24

Tokyo, Japan, January 29-31, 2018

Deforestation Detection for Law Enforcement Procedures in the Brazilian

Amazon

Resourcesat-2 AWIFS

(56-m spatial resolution)

DETER project

DEFORESTATION DETECTION IN THE BRAZILIAN AMAZON IN 2017

VALIDATION APPROACH 536 polygons detected in 2017

by JJ-FAST (17% of polygons)

ScanSAR

Date 2 ScanSAR

Date 3

Landsat-8

Date 1

Landsat-8

Date 4

Natural? Deforestation?

Weakness:

If deforestation happens between Date 1 &

Date 2 or Date 3 & Date 4

Possible combinations:

Natural/Deforestation (correct)

Natural/Degraded (correct)

Natural/Natural (misdetection)

Deforestation/Deforestation (misdetection)

Municipality: Tarauacá/Acre; Path/row = 002/67

09/09/2016 24/06/2017 JJ-FAST: 20/02/2017

Forest Deforestation

Municipality: Cidelândia/Maranhão; Path/row = 220/64

02/10/2016 15/06/2017 JJ-FAST: 15/05/2017

Forest Deforestation

Municipality: Apuí/Amazonas; Path/row = 001/66

05/11/2016 17/06/2017 JJ-FAST: 08/05/2017

Deforestation Deforestation

Municipality: Santa Rosa do Tocantins/Tocantins; Path/row = 221/68

07/09/2016 08/07/2017 JJ-FAST: 09/01/2017

Deforestation Deforestation

Municipality: Tuntum/Maranhão; Path/row = 222/63

28/07/2016 15/07/2017 JJ-FAST: 24/02/2017

Forest Forest

Municipality: Vitória do Xingu/Pará; Path/row = 222/63

28/07/2016 15/07/2017 JJ-FAST: 16/05/2017

Forest Forest

VALIDATION RESULTS

indicating the need of a

deforestation mask or a more

accurate FNF map

Deforestation: there is no

single pattern

Path/row = 001/66

18/09/2016 17/06/2017 JJ-FAST: 08/05/2017

MISSED DEFORESTATION

Path/row = 001/66

18/09/2016 17/06/2017 JJ-FAST: 08/05/2017

MISSED DEFORESTATION

MISSED DEFORESTATION

• 8 random path/rows

• Visual interpretation

• Change detection for final report

AM PA

MT

RO

AC

RR AP

MA

TO

AC = Acre

AM = Amazonas

MA = Maranhão

MT = Mato Grosso

PA = Pará

RO = Rondônia

RR = Roraima

TO = Tocantins

Some important findings

1. Different patterns of deforestation in the Brazilian Amazon make

their detection by the change detection techniques difficult

2. We found significant number of omissions

3. The use of mask of old deforestation or a more accurate FNF map

is necessary

4. Country-specific JJ-FAST may be necessary in the future

5. Pairs of ALOS-2 ScanSAR scenes are necessary

6. “Active” polygons are top priority for field inspection