mad-mex: component ad of the national mrv€¦ · 1:100,000 landsat 2000 classification validated...
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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)
…
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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
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REDD+ system in Mexico
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REDD+ MRV system in México
Emission Estimates
Dato
s de
Emiss
ion
Fact
ors
Automatic production
Manual revision
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Activity Data Production Cycle
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Automatic land cover 1:100,000
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Automatic land cover 1:20,000
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Scales
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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)
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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)
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Quality
Manual (WV II) MAD-Mex (RapidEye)
1:20,000
Manual (RapidEye) MAD-Mex (RapidEye)
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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)
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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
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Quality
….. 1:100,000
Manual reference MAD-Mex
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Product revision and quality enhancement
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Product revision and quality enhancement
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REDD+ MRV system in México
Emission Estimates
Dato
s de
Emiss
ion
Fact
ors
Automatic production
Manual revision
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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
+
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Reference Emission Levels
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National Reports
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Gracias