{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T16:51:51Z","timestamp":1732035111459},"reference-count":98,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2014,6,16]],"date-time":"2014-06-16T00:00:00Z","timestamp":1402876800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"A spatially explicit map of aboveground carbon stored in Mexico\u2019s 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 \u00d7 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\u2219C\/ha in the case of flat terrain. The validation for different forest types showed a consistently low estimation bias (<3 t\u2219C\/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\u00b0) 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\u2219C\/ha) and Mexican states (R2 of 0.98, RMSE of 1.4 t\u2219C\/ha), showed strong agreement.<\/jats:p>","DOI":"10.3390\/rs6065559","type":"journal-article","created":{"date-parts":[[2014,6,16]],"date-time":"2014-06-16T15:52:47Z","timestamp":1402933967000},"page":"5559-5588","source":"Crossref","is-referenced-by-count":104,"title":["A National, Detailed Map of Forest Aboveground Carbon Stocks in Mexico"],"prefix":"10.3390","volume":"6","author":[{"given":"Oliver","family":"Cartus","sequence":"first","affiliation":[{"name":"Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USA"}]},{"given":"Josef","family":"Kellndorfer","sequence":"additional","affiliation":[{"name":"Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USA"}]},{"given":"Wayne","family":"Walker","sequence":"additional","affiliation":[{"name":"Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USA"}]},{"given":"Carol","family":"Franco","sequence":"additional","affiliation":[{"name":"Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USA"}]},{"given":"Jesse","family":"Bishop","sequence":"additional","affiliation":[{"name":"Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02556, USA"}]},{"given":"Lucio","family":"Santos","sequence":"additional","affiliation":[{"name":"National Forestry Commission (CONAFOR), Perif\u00e9rico Poniente 5360, San Juan de Ocot\u00e1n, Zapopan, Jalisco 45019, Mexico"}]},{"given":"Jos\u00e9","family":"Fuentes","sequence":"additional","affiliation":[{"name":"National Forestry Commission (CONAFOR), Perif\u00e9rico Poniente 5360, San Juan de Ocot\u00e1n, Zapopan, Jalisco 45019, Mexico"}]}],"member":"1968","published-online":{"date-parts":[[2014,6,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2753","DOI":"10.1016\/j.rse.2011.01.024","article-title":"Characterizing 3D vegetation structure from space: Mission requirements","volume":"115","author":"Hall","year":"2011","journal-title":"Remote Sens. 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