Experimenting the design-based k-NN approach for mapping and estimation under forest management planning
Estimation and mapping of forest attributes are a fundamental support for forest management planning. This study describes a practical experimentation concerning the use of design-based k-Nearest Neighbors (k-NN) approach to estimate and map selected attributes in the framework of inventories at for...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Italian Society of Silviculture and Forest Ecology (SISEF)
2012-02-01
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| Series: | iForest - Biogeosciences and Forestry |
| Subjects: | |
| Online Access: | https://iforest.sisef.org/contents/?id=ifor0604-009 |
| _version_ | 1811228092009545728 |
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| author | Mattioli W Quatrini V Di Paolo S Di Santo D Giuliarelli D Angelini A Portoghesi L Corona P |
| author_facet | Mattioli W Quatrini V Di Paolo S Di Santo D Giuliarelli D Angelini A Portoghesi L Corona P |
| author_sort | Mattioli W |
| collection | DOAJ |
| description | Estimation and mapping of forest attributes are a fundamental support for forest management planning. This study describes a practical experimentation concerning the use of design-based k-Nearest Neighbors (k-NN) approach to estimate and map selected attributes in the framework of inventories at forest management level. The study area was the Chiarino forest within the Gran Sasso and Monti della Laga National Park (central Italy). Aboveground biomass and current annual increment of tree volume were selected as the attributes of interest for the test. Field data were acquired within 28 sample plots selected by stratified random sampling. Satellite data were acquired by a Landsat 5 TM multispectral image. Attributes from field surveys and Landsat image processing were coupled by k-NN to predict the attributes of interest for each pixel of the Landsat image. Achieved results demonstrate the effectiveness of the k-NN approach for statistical estimation, that is compatible with the produced forest attribute raster maps and also proves to be characterized, in the considered study case, by a precision double than that obtained by conventional inventory based on field sample plots only. |
| first_indexed | 2024-04-12T09:52:40Z |
| format | Article |
| id | doaj.art-00a840fb9a564df0be18fafe21b708ba |
| institution | Directory Open Access Journal |
| issn | 1971-7458 1971-7458 |
| language | English |
| last_indexed | 2024-04-12T09:52:40Z |
| publishDate | 2012-02-01 |
| publisher | Italian Society of Silviculture and Forest Ecology (SISEF) |
| record_format | Article |
| series | iForest - Biogeosciences and Forestry |
| spelling | doaj.art-00a840fb9a564df0be18fafe21b708ba2022-12-22T03:37:47ZengItalian Society of Silviculture and Forest Ecology (SISEF)iForest - Biogeosciences and Forestry1971-74581971-74582012-02-0151263010.3832/ifor0604-009604Experimenting the design-based k-NN approach for mapping and estimation under forest management planningMattioli W0Quatrini V1Di Paolo S2Di Santo D3Giuliarelli D4Angelini A5Portoghesi L6Corona P7Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, v. San Camillo de Lellis snc, I-01100 Viterbo (Italy)Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, v. San Camillo de Lellis snc, I-01100 Viterbo (Italy)Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, v. San Camillo de Lellis snc, I-01100 Viterbo (Italy)Gran Sasso and Monti della Laga National Park, Assergi, AQ (Italy)Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, v. San Camillo de Lellis snc, I-01100 Viterbo (Italy)Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, v. San Camillo de Lellis snc, I-01100 Viterbo (Italy)Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, v. San Camillo de Lellis snc, I-01100 Viterbo (Italy)Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, v. San Camillo de Lellis snc, I-01100 Viterbo (Italy)Estimation and mapping of forest attributes are a fundamental support for forest management planning. This study describes a practical experimentation concerning the use of design-based k-Nearest Neighbors (k-NN) approach to estimate and map selected attributes in the framework of inventories at forest management level. The study area was the Chiarino forest within the Gran Sasso and Monti della Laga National Park (central Italy). Aboveground biomass and current annual increment of tree volume were selected as the attributes of interest for the test. Field data were acquired within 28 sample plots selected by stratified random sampling. Satellite data were acquired by a Landsat 5 TM multispectral image. Attributes from field surveys and Landsat image processing were coupled by k-NN to predict the attributes of interest for each pixel of the Landsat image. Achieved results demonstrate the effectiveness of the k-NN approach for statistical estimation, that is compatible with the produced forest attribute raster maps and also proves to be characterized, in the considered study case, by a precision double than that obtained by conventional inventory based on field sample plots only.https://iforest.sisef.org/contents/?id=ifor0604-009Forest management planningk-Nearest NeighborsLandsatEstimationMapping |
| spellingShingle | Mattioli W Quatrini V Di Paolo S Di Santo D Giuliarelli D Angelini A Portoghesi L Corona P Experimenting the design-based k-NN approach for mapping and estimation under forest management planning iForest - Biogeosciences and Forestry Forest management planning k-Nearest Neighbors Landsat Estimation Mapping |
| title | Experimenting the design-based k-NN approach for mapping and estimation under forest management planning |
| title_full | Experimenting the design-based k-NN approach for mapping and estimation under forest management planning |
| title_fullStr | Experimenting the design-based k-NN approach for mapping and estimation under forest management planning |
| title_full_unstemmed | Experimenting the design-based k-NN approach for mapping and estimation under forest management planning |
| title_short | Experimenting the design-based k-NN approach for mapping and estimation under forest management planning |
| title_sort | experimenting the design based k nn approach for mapping and estimation under forest management planning |
| topic | Forest management planning k-Nearest Neighbors Landsat Estimation Mapping |
| url | https://iforest.sisef.org/contents/?id=ifor0604-009 |
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