Centre de documentation
scientifique

Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery / Kasper Johansen in ISPRS Journal of photogrammetry and remote sensing, vol 165 (July 2020)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 165 (July 2020) . - pp 28 - 40 Titre : Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery Type de document : Article/Communication Auteurs : Kasper Johansen, Auteur ; Qibin Duan, Auteur ; Yu-Hsuan Tu, Auteur ; et al., Auteur Année de publication : 2020 Article en page(s) : pp 28 - 40 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Australie [Termes IGN] carte de la végétation [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] données multitemporelles [Termes IGN] image captée par drone [Termes IGN] image multibande [Termes IGN] image Worldview [Termes IGN] production agricole végétale [Termes IGN] surveillance de la végétation Résumé : (auteur) Australia is one of the world’s largest producers of macadamia nuts. As macadamia trees can take up to 15 years to mature and produce maximum yield, it is important to optimize tree condition. Field based assessment of macadamia tree condition is time-consuming and often inconsistent. Using remotely sensed imagery may allow for faster, more extensive, and more consistent assessment of macadamia tree condition. To identify individual macadamia tree crowns, high spatial resolution imagery is required. Hence, the objective of this work was to develop and test an approach to map the condition of individual macadamia tree crowns using both multi-spectral Unmanned Aerial Vehicle (UAV) and WorldView-3 imagery for different macadamia varieties and three different sites located near Bundaberg, Australia. A random forest classifier, based on all available spectral bands and selected vegetation indices was used to predict five condition categories, ranging from excellent (category 1) to poor (category 5). Various combinations of the developed models were tested between the three sites and over time. The results showed that the multi-spectral WorldView-3 imagery produced the lowest out of bag (OOB) classification errors in most cases. However, for both the UAV and the WorldView-3 imagery, more than 98.5% of predicted macadamia condition categories were either correctly mapped or offset by a single category out of the five condition categories (excellent, good, moderate, fair and poor) for trees of the same variety and at one point in time. Multi-temporally, the WorldView-3 imagery performed better than the UAV data for predicting the condition of the same macadamia tree variety. Applying a model from one site to another site with the same macadamia tree variety produced OOB classification between 31.20 and 42.74%, but with >98.63% of trees predicted within a single condition category. Importantly, models trained based on one type of macadamia tree variety could not be successfully applied to a site with another variety. The developed classification models may be used as a decision and management support tool for the macadamia industry to inform management practices and improve on-demand irrigation, fertilization, and pest inspection at the individual tree level. Numéro de notice : A2020-277 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.04.01 Date de publication en ligne : 20/05/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.04.017 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95093 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2020071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2020073	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2020072	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

Assessment of Sentinel-1A data for rice crop classification using random forests and support vector machines / Nguyen-Thanh Son in Geocarto international, vol 33 n° 6 (June 2018)  

Public [article]  inGeocarto international > vol 33 n° 6 (June 2018) . - pp 587 - 601 Titre : Assessment of Sentinel-1A data for rice crop classification using random forests and support vector machines Type de document : Article/Communication Auteurs : Nguyen-Thanh Son, Auteur ; Chi-Farn Chen, Auteur ; Cheng-Ru Chen ; et al., Auteur Année de publication : 2018 Article en page(s) : pp 587 - 601 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] image Sentinel-SAR [Termes IGN] Oryza (genre) [Termes IGN] polarimétrie radar [Termes IGN] production agricole végétale [Termes IGN] Viet Nam Résumé : (Auteur) This study developed an approach to map rice-cropping systems in An Giang and Dong Thap provinces, South Vietnam using multi-temporal Sentinel-1A (S1A) data. The data were processed through four steps: (1) data pre-processing, (2) constructing smooth time series VH backscatter data, (3) rice crop classification using random forests (RF) and support vector machines (SVM) and (4) accuracy assessment. The results indicated that the smooth VH backscatter profiles reflected the temporal characteristics of rice-cropping patterns in the study region. The comparisons between the classification results and the ground reference data indicated that the overall accuracy and Kappa coefficient achieved from RF were 86.1% and 0.72, respectively, which were slightly more accurate than SVM (overall accuracy of 83.4% and Kappa coefficient of 0.67). These results were reaffirmed by the government’s rice area statistics with the relative error in area (REA) values of 0.2 and 2.2% for RF and SVM, respectively. Numéro de notice : A2018-142 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2017.1289555 Date de publication en ligne : 13/02/2017 En ligne : https://doi.org/10.1080/10106049.2017.1289555 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89700 [article]

Optimal management of larch (Larix olgensis A. Henry) plantations in Northeast China when timber production and carbon stock are considered / Wei Peng in Annals of Forest Science, vol 75 n° 1 (March 2018)  

Public [article]  inAnnals of Forest Science > vol 75 n° 1 (March 2018) Titre : Optimal management of larch (Larix olgensis A. Henry) plantations in Northeast China when timber production and carbon stock are considered Type de document : Article/Communication Auteurs : Wei Peng, Auteur ; Timo Pukkala, Auteur ; Xingji Jin, Auteur ; Fengri Li, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Chine [Termes IGN] éclaircie (sylviculture) [Termes IGN] économie forestière [Termes IGN] Larix olgensis [Termes IGN] modèle dynamique [Termes IGN] plantation forestière [Termes IGN] production agricole végétale [Termes IGN] puits de carbone [Termes IGN] ressources forestières [Termes IGN] volume en bois [Vedettes matières IGN] Végétation et changement climatique Résumé : (Auteur) Key message : The optimal management of larch (Larix olgensis) plantations in Northeast China consisted of 2 or 3 thinnings and a rotation length of 55–61 years when economic profitability, wood production, and carbon sequestration were simultaneously maximized. Wood production ranged from 5.4 to 11.7 m3 ha−1 a−1, depending on site quality. Context: L. olgensis is an important tree species in the northeast forest region of China, playing a significant role in the establishment of fast-growing and high-yielding plantation forests in China. However, the management of these plantations has not been optimized in previous studies. Aims: The objective of the study was to find the optimal combinations of thinning times, thinning types, and rotation length for L. olgensis stands when both timber production and carbon stock are considered. Methods: First, a growth and yield model was developed to simulate the dynamics of larch plantations. Then, the models were linked with the Hooke and Jeeves optimization algorithm to optimize forest management for two commonly used planting densities and three site qualities. Results: Two thinnings were found to be suitable for larch plantations when the stand density at 10 years was 2125 trees/ha (corresponding to a planting density of 2500 trees/ha) whereas three thinnings were recommended when the density at 10 years was 2800 trees/ha (planting density of 3300 trees/ha). When the stand density was 2800 trees/ha, the optimal rotation length was 61, 58, and 55 years for site indices (SI) 12, 16, and 20 m (dominant height at 30 years), respectively. The mean annual wood production was 5.4 m3 ha−1 for SI 12, 8.2 m3 ha−1 for SI 16, and 11.7 m3 ha−1 for SI 20. The results were nearly the same for the lower initial stand density. The better the site quality of the stand, the earlier the thinnings were conducted. Conclusion: In multifunctional forestry, optimal rotation lengths of larch plantations were 10–20 years longer than advised in the current silvicultural recommendations for Northeast China. Numéro de notice : A2018-320 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-018-0739-1 Date de publication en ligne : 04/06/2018 En ligne : https://doi.org/10.1007/s13595-018-0739-1 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90455 [article]

Towards assessment of cork production through National Forest Inventories / Maria Pasalodos-Tato in Forestry, an international journal of forest research, vol 91 n° 1 (January 2018)  

Public [article]  inForestry, an international journal of forest research > vol 91 n° 1 (January 2018) . - pp 110 - 120 Titre : Towards assessment of cork production through National Forest Inventories Type de document : Article/Communication Auteurs : Maria Pasalodos-Tato, Auteur ; Iciar A. Alberdi, Auteur ; Isabel Canellas, Auteur ; Mariola Sánchez-González, Auteur Année de publication : 2018 Article en page(s) : pp 110 - 120 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] diamètre à hauteur de poitrine [Termes IGN] Espagne [Termes IGN] inventaire forestier étranger (données) [Termes IGN] production agricole végétale [Vedettes matières IGN] Inventaire forestier Résumé : (Auteur) The economic importance of cork in the Mediterranean region demands an accurate assessment of its production. Cork production is currently estimated by aggregating information provided by Regional Forest Services, but this approach results in a lack of robustness at the national level. The objective of the present study is to analyse the role of the Spanish National Forest Inventory (SNFI) as a potential source of data for quantifying cork weight at national level and the scope of National Forest Inventory data to define national trends in cork yield as well as to characterize the main types of cork producing forest stands in Spain. Data from the Second and Third SNFI are used together with the Spanish Forest Map. The results point to the suitability of SNFI to quantify cork production as long as the two main variables defining cork weight, namely cork thickness and debarking height, were correctly recorded in inventories. Although the Second SNFI complied with these requirements, from the Third SNFI the methodology changed, preventing the accurate estimation of cork weight. Based on this study recommendations are made to improve the estimation of cork weight at national level, e.g. to measure cork thickness in all the cork oaks in the plot and to take a sample of cork from the inventoried trees. This information would also make it possible to assess the cork quality in terms of cork thickness growth and to classify cork production in terms of suitability for producing high quality cork products. Numéro de notice : A2018-632 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1093/forestry/cpx036 Date de publication en ligne : 03/10/2017 En ligne : https://doi.org/10.1093/forestry/cpx036 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93232 [article]

Forêtdavenir / Jérémy Abgrall in Forêt entreprise, n° 235 (juillet - août 2017)

Public [article]  inForêt entreprise > n° 235 (juillet - août 2017) . - 2 p. Titre : Forêtdavenir Type de document : Article/Communication Auteurs : Jérémy Abgrall, Auteur ; Henri Husson, Auteur Année de publication : 2017 Article en page(s) : 2 p. Langues : Français (fre) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] Centre régional de la propriété forestière [Termes IGN] Landes de Gascogne [Termes IGN] peuplement forestier [Termes IGN] production agricole végétale [Termes IGN] sylviculture Résumé : (éditeur) Face à une demande en bois en augmentation en Gironde, notamment en bois énergie et aux besoins de remise en valeur de peuplements pauvres, le projet Forêtdavenir est mis en œuvre sur les territoires de l'Est de la Gironde dans le cadre de I'AMI Dynamic Bois initié par I'ADEME en 2015. Numéro de notice : A2017-909 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89559 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
IFN-001-P001952	PER	Revue	Nogent-sur-Vernisson	Salle périodiques	Exclu du prêt

Evaluating the productivity of four main tree species in Germany under climate change with static reduced models / Martin Gutsch in Annals of Forest Science, vol 73 n° 2 (June 2016)  

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Integrating risk preferences in forest harvest scheduling / Kyle J. Eyvindson in Annals of Forest Science, vol 73 n° 2 (June 2016)  

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Regional dynamics of terrestrial vegetation productivity and climate feedbacks for territory of Ukraine / Dmytro Movchan in International journal of geographical information science IJGIS, vol 29 n° 8 (August 2015)  

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Alley coppice—a new system with ancient roots / Christopher D. Morhart in Annals of Forest Science, vol 71 n° 5 (July - August 2014)  

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La forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2013)    

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MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA / R.H. Waring in Remote sensing of environment, vol 103 n° 2 (30/07/2006)  

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Analyse multidate et multiresolution pour l'étude de la productivité végétale en zone climatique tempérée : bassin versant "arroyo Sanchez", Uruguay / F. Anno in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 170 (Avril 2003)

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Assessment of remote sensing tools fo the estimation of photosynthesis and primary production present and future potential / Gérard Guyot (1995)

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L'instrument Végétation à bord de Spot-IV [Spot 4] / Frédéric Achard (1992)

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Eléments d'agronomie / J.P. Poupard (1982)

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