Overview of M-REDD+ LiDAR Initiative and Potential Applications in Mexico
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Transcript of Overview of M-REDD+ LiDAR Initiative and Potential Applications in Mexico
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Overview of M-REDD+ LiDAR Initiative and Potential Applications in Mexico
Dr.AliciaPeduzziDr.WayneWalker
23–25deMayo2016�MeridaMexico
Drs.WayneWalker,ManoloCanto,&AlessandroBaccini
1-2deAgosto2016�GuadalajaraMexico
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Overview
• LiDAR Initiative timeline
• Accomplishments to date
• Applications in 2016
• Looking to the future
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Initiative timeline
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Initiative Background
Timeline for Airborne LiDAR Acquisition • July 2013 – CartoData awarded acquisition contract
• December 2013 – LiDAR acquisitions begin over Jalisco
• January 2014 - May 2015 Ø Delays due to weather and ground access (Oaxaca/Chihuahua) Ø Cancellation of Michoacán Ø Sporadic data delivery
• June 2015 – Data delivery (Oaxaca 3) completed
• May 2016 – Data sharing platform opened to the public
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Accomplishments to date
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Accomplishments to date
• Acquisition completed on time following input from a broad range of government, academic, and NGO stakeholders.
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Accomplishments to date:
1,685 km2 Cartodata
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Accomplishments to date:
1,685 km2 Cartodata 2,422 km2 G-LiHT 4,107 km2
1000s of Field Plots 8
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Accomplishments to date
• Acquisition completed on time following input from a broad range of government and academic stakeholders
• Data sharing platform designed and implemented
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Accomplishments to date
10hLp://www.ereddplus.com/whrc/LiDAR/index.html
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Accomplishments to date
11hLp://www.ereddplus.com/whrc/LiDAR/index.html
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Accomplishments to date:
1,685 km2 Cartodata 2,422 km2 G-LiHT 4,107 km2
1000s of Field Plots 12
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Accomplishments to date
hLp://gliht.gsfc.nasa.gov/
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Accomplishments to date
• Acquisition completed on time following input from a broad range of government and academic stakeholders
• Data sharing platform designed and implemented
• Raw data and derivative products made available
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Accomplishments to date
15hLp://www.ereddplus.com/whrc/LiDAR/index.html
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Accomplishments to date
16hLp://www.ereddplus.com/whrc/LiDAR/index.html
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Accomplishments to date
Digital Terrain Model (DTM) + DTM Hillshade
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Accomplishments to date
Digital Surface Model (DSM) + DSM Hillshade
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Accomplishments to date
Digital Orthophoto
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Accomplishments to date
DTM Hillshade
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Accomplishments to date
DSM Hillshade
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Accomplishments to date
Canopy Height Model (CHM)
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Accomplishments to date
Airborne LiDAR: 3-D Digital Pointillism
225,000,000 points
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Accomplishments to date
Airborne LiDAR: Terrain 2587
2141
Elevation (m)
225,000,000 points
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Accomplishments to date
Airborne LiDAR: Canopy Height
225,000,000 points
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0
Height (m)
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Accomplishments to date
Airborne LiDAR: Canopy Height
200,000 points
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0
Height (m)
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Accomplishments to date
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Ortho DSM CHM Biomass
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Orthophoto Digital Surface Model
Canopy Height Model
Aboveground Biomass
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Accomplishments to date
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Accomplishments to date
• Acquisition completed on time following input from a broad range of government and academic stakeholders
• Data sharing platform designed and developed
• Raw data and derivative products made available
• Introductory LiDAR training workshops held in Durango
and Merida in collaboration with USFS
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Accomplishments to date
~20ParWcipants,~13OrganizaWons
CICY,CITRO-UV,COLPOS,CONFORMO,INECOL,INEGI,PRONATURAYucatán,
SMAAS,TNC,UABC,UJED,UVG,UZACHI
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Accomplishments to date
~25ParWcipants
AffiliatesofMayanForestWatchandM-REDD+Chiapaspartnersincludinggovernment,academic,andNGO
parWcipants
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Accomplishments to date
• Acquisition completed on time following input from a broad range of government and academic stakeholders
• Data sharing platform designed and developed
• Raw data and derivative products made available
• Introductory training workshops held in Durango and
Merida in collaboration with USFS
• Design and distribution of fact sheets and infographics
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La iniciativa para la adquisición de datos con sensores LiDAR ae-rotransportados de la Alianza México REDD+, se puso en marcha con el objetivo de demostrar el potencial que ofrece la tecnología LiDAR para contribuir a la evolución del Sistema Nacional de Mo-nitoreo Forestal en México, así como en el monitoreo de la vasta diversidad biológica y ecológica en México.
¿Qué es LiDAR aerotransportado?
LiDAR es un acrónimo del inglés para Light Detection and Ran-ging, una tecnología de sensores remotos utilizada para producir mapas detallados y precisos de la superficie de la Tierra. Una ae-ronave de ala fija, equipada con un escáner láser, un receptor GPS especializado, y una unidad de medición de movimiento inercial (IMU), componen la base de un sistema LiDAR aerotransportado. El sistema funciona usando un haz de luz láser pulsante, en la banda del infrarrojo cercano, para medir distancias entre la aero-nave y los objetos en la superficie de la Tierra.
La información de la distancia, en combinación con otros datos registrados por el sistema, se utiliza para generar una serie de puntos tridimensionales de alta densidad (conocido como una nube de puntos), que representa la superficie y características del terreno.
Nube de puntos sobre una parte de la Península de Yucatán. Los colores corresponden a la altura por encima de la superficie con los azules que representan la tierra y rojos representan las partes superiores de los objetos más altos (por ejemplo, árboles).
La iniciativa LiDAR aerotransportado de la Alianza México REDD+
ficha informativa
Componentes de un sistema LiDAR Aéreo. Fuente: ASPRS
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Contenido: Wayne S. Walker, traducción: Carol Franco y José Manuel Canto, diseño: Rosalba Becerra
Esta publicación ha sido posible gracias al generoso apoyo del pueblo estadounidense a través de la Agencia de los Estados Unidos para el Desarrollo Internacional (usaid) bajo los términos de su Acuerdo de Cooperación Número aid-523-A-11-00001 (m-redd+) implementado por el beneficiario principal, The Nature Conservancy, y sus colabo-radores, Rainforest Alliance, Woods Hole Research Center y Espacios Naturales y Desarrollo Sustentable, A.C. Los contenidos y opiniones expresadas en este documento pertenecen al autor y no reflejan necesariamente las opiniones de la usaid, el Gobierno de los Estados Unidos de América, tnc o sus colaboradores.
www.alianza-mredd.org
AlianzaMREDD
AlianzaMREDD
alianzamredd
¿Cuándo y dónde se recogieron los datos LiDAR?
Entre diciembre de 2013 y mayo de 2015, la Alianza México REDD+ adquirió aproximadamente 1,700 km2 de datos obtenidos mediante un sensor LiDAR aerotransportado, a lo largo de ocho regiones prioritarias en los estados de Yucatán, Campeche, Chia-pas, Oaxaca, Michoacán, Jalisco y Chihuahua.
CartoData, una empresa mexicana de servicios geoespaciales, fue contratada por The Nature Conservancy para conducir la adqui-sición de datos LiDAR aerotransportado. El centro de investiga-ción WHRC (Woods Hole Research Center) fue responsable de la planificación de todos los vuelos, así como del post-procesamien-to de datos y la entrega.
¿Dónde se puede tener acceso a los datos LiDAR?
Los datos de la adquisición LiDAR aerotransportado se encuen-tran disponibles en la Plataforma de Datos Espaciales Compar-tidos, en la siguiente liga: http://www.ereddplus.com/whrc/LiDAR/index.html
El sitio contiene los modelos digitales de superficie (DSM), mo-delos digitales del terreno (DTM) y los datos crudos de las nubes
de puntos (LAS). En el futuro estarán disponibles en el portal algunos productos derivados de estos datos, incluidas las estima-ciones de la biomasa aérea. En última instancia, el objetivo de la Plataforma de Datos Espaciales Compartidos consiste en conso-lidar todas las adquisiciones de LiDAR aerotransportado de Méxi-co, incluidos los datos del sistema aéreo de imágenes de la NASA, conocido como G-LiHT.
Las aplicaciones de datos LiDAR aerotransportado en México
Considerando todas las fuentes de datos disponibles (CartoData, G-LiHT, etc.), datos de LiDAR aerotransportado ha sido adquirido a lo largo de más de 4.000 km2 de bosques, proporcionando una muestra robusta y representativa de la diversidad de los ecosiste-mas forestales de México. Estos datos constituyen una importan-te referencia con potencial para enriquecer el Sistema Nacional de Monitoreo Forestal en México. Este acervo de datos represen-ta un valioso recurso para investigadores mexicanos y gestores territoriales interesados en mejorar el entendimiento sobre la estructura del bosque y su relación con temas tan diversos como la biodiversidad, la silvicultura, la hidrología, la arqueología y la geomorfología.
Página de la Plataforma de Datos Espaciales Compartidos de la Alianza México REDD+.
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Accomplishments to date
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Applications in 2016
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LiDAR Data Integration: What is the State of the Art? Sparse Field Measurements Large Area “Wall-to-Wall” Mapping
Model
Data Gap
Airborne LiDAR = Gap-Filler
Model Model
Accomplishments to date
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Accomplishments to date
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70,000,000 points
Activities in 2016
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Looking to the future
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Looking to the future
ü Improve upon existing forest measurement protocols, especially for canopy height, canopy cover, and aboveground biomass estimation
ü Extrapolate measurements to unsampled locations
ü Conduct forest structure and biodiversity studies
ü Improve emission factor estimates for REDD+
ü Evaluate logging/degradation impacts
ü Explore biomass change/net emissions estimation
Potential applications of LiDAR in Mexico
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