Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data
Assessing biomass is critical for accounting bioenergy potentials and monitoring forest ecosystem responses to global change and disturbances. Remote sensing, especially Light Detection and Ranging (LiDAR) data combined with field data, is being increasingly used for forest inventory purposes. We ev...
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| Format: | Article |
| Language: | English |
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Italian Society of Silviculture and Forest Ecology (SISEF)
2017-06-01
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| Series: | iForest - Biogeosciences and Forestry |
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| Online Access: | https://iforest.sisef.org/contents/?id=ifor1989-010 |
| _version_ | 1811300832932528128 |
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| author | Jiménez E Vega JA Fernández-Alonso JM Vega-Nieva D Ortiz L López-Serrano PM López-Sánchez CA |
| author_facet | Jiménez E Vega JA Fernández-Alonso JM Vega-Nieva D Ortiz L López-Serrano PM López-Sánchez CA |
| author_sort | Jiménez E |
| collection | DOAJ |
| description | Assessing biomass is critical for accounting bioenergy potentials and monitoring forest ecosystem responses to global change and disturbances. Remote sensing, especially Light Detection and Ranging (LiDAR) data combined with field data, is being increasingly used for forest inventory purposes. We evaluated the feasibility of the combined use of freely available data, both remote sensing (LiDAR data provided by the Spanish National Plan for Aerial Ortophotography - PNOA - and Landsat vegetation spectral indices) and field data (from the National Forest Inventory) to estimate stand dendrometric and aboveground biomass variables of the most productive tree species in a pilot area in Galicia (northwestern Spain). The results suggest that the models can accurately predict dendrometric and biomass variables at plot level with an R2 ranging from 0.49 to 0.65 for basal area, from 0.65 to 0.95 for dominant height, from 0.48 to 0.68 for crown biomass and from 0.55 to 0.82 for stem biomass. Our results support the use of this approach to reduce the cost of forest inventories and provide a useful tool for stakeholders to map forest stand variables and biomass stocks. |
| first_indexed | 2024-04-13T06:58:00Z |
| format | Article |
| id | doaj.art-aaf8ff1094d24a07a1bc9a557c64bd35 |
| institution | Directory Open Access Journal |
| issn | 1971-7458 1971-7458 |
| language | English |
| last_indexed | 2024-04-13T06:58:00Z |
| publishDate | 2017-06-01 |
| publisher | Italian Society of Silviculture and Forest Ecology (SISEF) |
| record_format | Article |
| series | iForest - Biogeosciences and Forestry |
| spelling | doaj.art-aaf8ff1094d24a07a1bc9a557c64bd352022-12-22T02:57:12ZengItalian Society of Silviculture and Forest Ecology (SISEF)iForest - Biogeosciences and Forestry1971-74581971-74582017-06-0110159059610.3832/ifor1989-0101989Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory dataJiménez E0Vega JA1Fernández-Alonso JM2Vega-Nieva D3Ortiz L4López-Serrano PM5López-Sánchez CA6Centro de Investigación Forestal - Lourizán, PO Box 127, 36080 Pontevedra (Spain)Centro de Investigación Forestal - Lourizán, PO Box 127, 36080 Pontevedra (Spain)Centro de Investigación Forestal - Lourizán, PO Box 127, 36080 Pontevedra (Spain)Facultad de Ciencias Forestales - Universidad Juárez del Estado de Durango (México) Río Papaloapan, Valle del Sur, 34120 Durango, Dgo. (México)Departmento de Ingeniería de Recursos Naturales y Medio Ambiente, Universidad de Vigo, Campus A Xunqueira, Pontevedra, 36005 (Spain)Facultad de Ciencias Forestales - Universidad Juárez del Estado de Durango (México) Río Papaloapan, Valle del Sur, 34120 Durango, Dgo. (México)Facultad de Ciencias Forestales - Universidad Juárez del Estado de Durango (México) Río Papaloapan, Valle del Sur, 34120 Durango, Dgo. (México)Assessing biomass is critical for accounting bioenergy potentials and monitoring forest ecosystem responses to global change and disturbances. Remote sensing, especially Light Detection and Ranging (LiDAR) data combined with field data, is being increasingly used for forest inventory purposes. We evaluated the feasibility of the combined use of freely available data, both remote sensing (LiDAR data provided by the Spanish National Plan for Aerial Ortophotography - PNOA - and Landsat vegetation spectral indices) and field data (from the National Forest Inventory) to estimate stand dendrometric and aboveground biomass variables of the most productive tree species in a pilot area in Galicia (northwestern Spain). The results suggest that the models can accurately predict dendrometric and biomass variables at plot level with an R2 ranging from 0.49 to 0.65 for basal area, from 0.65 to 0.95 for dominant height, from 0.48 to 0.68 for crown biomass and from 0.55 to 0.82 for stem biomass. Our results support the use of this approach to reduce the cost of forest inventories and provide a useful tool for stakeholders to map forest stand variables and biomass stocks.https://iforest.sisef.org/contents/?id=ifor1989-010Biomass MapsForest InventoryLiDARLandsat Vegetation Indices |
| spellingShingle | Jiménez E Vega JA Fernández-Alonso JM Vega-Nieva D Ortiz L López-Serrano PM López-Sánchez CA Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data iForest - Biogeosciences and Forestry Biomass Maps Forest Inventory LiDAR Landsat Vegetation Indices |
| title | Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data |
| title_full | Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data |
| title_fullStr | Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data |
| title_full_unstemmed | Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data |
| title_short | Estimation of aboveground forest biomass in Galicia (NW Spain) by the combined use of LiDAR, LANDSAT ETM+ and National Forest Inventory data |
| title_sort | estimation of aboveground forest biomass in galicia nw spain by the combined use of lidar landsat etm and national forest inventory data |
| topic | Biomass Maps Forest Inventory LiDAR Landsat Vegetation Indices |
| url | https://iforest.sisef.org/contents/?id=ifor1989-010 |
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