A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico
A spatially explicit map of aboveground carbon stored in Mexico’s forests was generated from empirical modeling on forest inventory and spaceborne optical and radar data. Between 2004 and 2007, the Mexican National Forestry Commission (CONAFOR) established a network of ~26,000 permanent inventory pl...
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doaj-7d74ae64a6914f7886ad121ceb9a6e2c2020-11-24T22:12:54ZengMDPI AGRemote Sensing2072-42922014-06-01665559558810.3390/rs6065559rs6065559A National, Detailed Map of Forest Aboveground Carbon Stocks in MexicoOliver Cartus0Josef Kellndorfer1Wayne Walker2Carol Franco3Jesse Bishop4Lucio Santos5José María Michel Fuentes6Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USAWoods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USAWoods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USAWoods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USAWoods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USANational Forestry Commission (CONAFOR), Periférico Poniente 5360, San Juan de Ocotán, Zapopan, Jalisco 45019, MexicoNational Forestry Commission (CONAFOR), Periférico Poniente 5360, San Juan de Ocotán, Zapopan, Jalisco 45019, MexicoA spatially explicit map of aboveground carbon stored in Mexico’s forests was generated from empirical modeling on forest inventory and spaceborne optical and radar data. Between 2004 and 2007, the Mexican National Forestry Commission (CONAFOR) established a network of ~26,000 permanent inventory plots in the frame of their national inventory program, the Inventario Nacional Forestal y de Suelos (INFyS). INFyS data served as model response for spatially extending the field-based estimates of carbon stored in the aboveground live dry biomass to a wall-to-wall map, with 30 × 30 m2 pixel posting using canopy density estimates derived from Landsat, L-Band radar data from ALOS PALSAR, as well as elevation information derived from the Shuttle Radar Topography Mission (SRTM) data set. Validation against an independent set of INFyS plots resulted in a coefficient of determination (R2) of 0.5 with a root mean square error (RMSE) of 14 t∙C/ha in the case of flat terrain. The validation for different forest types showed a consistently low estimation bias (<3 t∙C/ha) and R2s in the range of 0.5 except for mangroves (R2 = 0.2). Lower accuracies were achieved for forests located on steep slopes (>15°) with an R2 of 0.34. A comparison of the average carbon stocks computed from: (a) the map; and (b) statistical estimates from INFyS, at the scale of ~650 km2 large hexagons (R2 of 0.78, RMSE of 5 t∙C/ha) and Mexican states (R2 of 0.98, RMSE of 1.4 t∙C/ha), showed strong agreement.http://www.mdpi.com/2072-4292/6/6/5559Mexicoaboveground biomasscarbonALOS PALSARLandsatNational Forest Inventory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Oliver Cartus Josef Kellndorfer Wayne Walker Carol Franco Jesse Bishop Lucio Santos José María Michel Fuentes |
spellingShingle |
Oliver Cartus Josef Kellndorfer Wayne Walker Carol Franco Jesse Bishop Lucio Santos José María Michel Fuentes A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico Remote Sensing Mexico aboveground biomass carbon ALOS PALSAR Landsat National Forest Inventory |
author_facet |
Oliver Cartus Josef Kellndorfer Wayne Walker Carol Franco Jesse Bishop Lucio Santos José María Michel Fuentes |
author_sort |
Oliver Cartus |
title |
A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico |
title_short |
A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico |
title_full |
A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico |
title_fullStr |
A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico |
title_full_unstemmed |
A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico |
title_sort |
national, detailed map of forest aboveground carbon stocks in mexico |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2014-06-01 |
description |
A spatially explicit map of aboveground carbon stored in Mexico’s forests was generated from empirical modeling on forest inventory and spaceborne optical and radar data. Between 2004 and 2007, the Mexican National Forestry Commission (CONAFOR) established a network of ~26,000 permanent inventory plots in the frame of their national inventory program, the Inventario Nacional Forestal y de Suelos (INFyS). INFyS data served as model response for spatially extending the field-based estimates of carbon stored in the aboveground live dry biomass to a wall-to-wall map, with 30 × 30 m2 pixel posting using canopy density estimates derived from Landsat, L-Band radar data from ALOS PALSAR, as well as elevation information derived from the Shuttle Radar Topography Mission (SRTM) data set. Validation against an independent set of INFyS plots resulted in a coefficient of determination (R2) of 0.5 with a root mean square error (RMSE) of 14 t∙C/ha in the case of flat terrain. The validation for different forest types showed a consistently low estimation bias (<3 t∙C/ha) and R2s in the range of 0.5 except for mangroves (R2 = 0.2). Lower accuracies were achieved for forests located on steep slopes (>15°) with an R2 of 0.34. A comparison of the average carbon stocks computed from: (a) the map; and (b) statistical estimates from INFyS, at the scale of ~650 km2 large hexagons (R2 of 0.78, RMSE of 5 t∙C/ha) and Mexican states (R2 of 0.98, RMSE of 1.4 t∙C/ha), showed strong agreement. |
topic |
Mexico aboveground biomass carbon ALOS PALSAR Landsat National Forest Inventory |
url |
http://www.mdpi.com/2072-4292/6/6/5559 |
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