MAD-Mex: component AD of the national MRV€¦ · 1:100,000 Landsat 2000 classification validated...

Post on 24-Jul-2020

1 views 0 download

transcript

MAD-Mex: component AD of the national MRV

S. Gebhardt*, T. Wehrmann, J. Equihua, E. Palacios, A. Gutiérrez, R. Kopeinik, M. Schramm, M.

Schmidt (CONABIO) M. Muñoz, R. Mayorga, O. Carrillo (CONAFOR)

Mexican vegetation types (some)

Tropical dry forest

Valle Nacional, Oaxaca Irámuco, Guanajuato Sierra Gorda, Querétaro Olinalá, Guerrero Colima

Tropical evergreen forest

Montes Azules, Chiapas Tuxtla Gutiérrez, Chiapas Tecomán, Colima Puerto Juárez, Quintana Roo Chiapas

Scrubland

Cerro Teotepec, Guerrero Zacualtipán, Hidalgo San Pedro, Oaxaca Querétaro Estado de México

Temperate forest

Campeche Campeche Guaymas, Sonora Pátzcuaro, Michoacán Coloradas, Yucatán

Wetland vegetation

San José del Cabo, Baja California Sur

Lagos de Moreno, Jalisco Ojocaliente, Zacatecas Sierra Gorda, Querétaro Zapotitlán Salinas, Puebla

SBK,SBC,SBS,SMS,SMC

SBQ,SBP,SMP,SAQ, SMQ,SBQ,SAP,VP,VPN

BS,BB,BQ,BQP,BG,BMK, BA(AO),BP,BPQ,BJ,BI,BM, BBA,ML

VM,PT,VT,VA

MC,MJ,MDM,MDR,MET, MRC,MSC,MSCC,MSN, MSM,MST,MK,MKX,MKE

Source: CONABIO Banco de imágenes

REDD+ system in Mexico

REDD+ MRV system in México

Emission Estimates

Dato

s de

Emiss

ion

Fact

ors

Automatic production

Manual revision

Activity Data Production Cycle

Automatic land cover 1:100,000

Automatic land cover 1:20,000

Scales

Quality

1:100,000

Landsat 2000 classification validated against ~200,000 Landsat 2000 based polygons manually interpreted

Level FRA: 5 classes

(85.5% OA) Level 1: 8 classes

(82.50% OA) Level 2: 10 classes

(80.65% OA) Level 3 : 14 classes

(75.06% OA) Level 4.1: 35 classes

(71.28% OA)

Quality

1:20,000

Preliminary: Version 1 RapidEye 2011 classification validated against ~150,000 Landsat 2010 based polygons manually interpreted

Level FRA: 5 classes

(79.8% OA) Level IPCC: 7 classes

(74.1% OA) Level 4: 32 classes

(64.4% OA)

Quality

Manual (WV II) MAD-Mex (RapidEye)

1:20,000

Manual (RapidEye) MAD-Mex (RapidEye)

Automatic land cover change

Land cover (MAD-Mex 1:100,000 and 1:20,000)

Forest loss/gain (Hansen/UMD/Google/USGS/NASA)

Land cover change (MAD-Mex 1:100,000 and 1:20,000)

Tree cover (Hansen/UMD/Google/USGS/NASA)

Quality

Out of 5012 manual digitized RapidEye changes from 103 image pairs from 2011 and 2012 60.32% were detected with at least 70% area overlap, 82.58% percent with at least 20% overlapping

1:20,000

Quality

….. 1:100,000

Manual reference MAD-Mex

Product revision and quality enhancement

Product revision and quality enhancement

REDD+ MRV system in México

Emission Estimates

Dato

s de

Emiss

ion

Fact

ors

Automatic production

Manual revision

Reference Emission Levels

0

20000

40000

60000

80000

100000

120000

140000

160000

180000

200000

>0% >10% >20% >30% >40% >50% >60% >70% >80% >90%

ha

Tree density

Bosque Encino(-Pino); Matorral Subtropical

Bosque de Pino (-Encino); Abies; Oyamel; Tascate; Matorral de Coniferas

Bosque Mesofilo de Montana; Selva Baja Perennifolio

Selva Baja (Sub)Caducifolia; Espinosa (Caducifolia); Palmar Inducido

Tree cover (Hansen/UMD/Google/USGS/NASA)

Land cover

+

Reference Emission Levels

National Reports

Gracias