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Global sensitivity analysis of the L-MEB model for retrieving soil moisture / Zengyan Wang in IEEE Transactions on geoscience and remote sensing, vol 54 n° 5 (May 2016)
[article]
Titre : Global sensitivity analysis of the L-MEB model for retrieving soil moisture Type de document : Article/Communication Auteurs : Zengyan Wang, Auteur ; Tao Che, Auteur ; Yuei-An Liou, Auteur Année de publication : 2016 Article en page(s) : pp 2949 - 2962 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] analyse de sensibilité
[Termes IGN] bande L
[Termes IGN] densité de la végétation
[Termes IGN] humidité du sol
[Termes IGN] rugosité du sol
[Termes IGN] température au solRésumé : (Auteur) A global sensitivity analysis utilizing the extended Fourier amplitude sensitivity test is used to determine the parameter sensitivity of the L-band microwave emission of the biosphere (L-MEB) model. The results are analyzed from two perspectives of calibration and inversion. First, the parameters of surface soil moisture, soil roughness factor, vegetation optical depth at nadir, and effective land surface temperature are the four most sensitive parameters in the L-MEB model, demonstrating their possibility to be retrieved in the multiparameter retrieval approaches. Then, the high total sensitivity index (TSI) values of surface soil temperature in the analyses emphasize the importance of high-precision land surface temperature data in the surface soil moisture retrievals, especially for rougher or more vegetated surface conditions. Finally, our analysis indicates that TSI values are high for the soil surface roughness and vegetation optical depth model parameters but low for the vegetation structure, single scattering albedo, and soil roughness coefficient model parameters at incidence angles near nadir. This suggests that calibration experiments performed at small incidence angles may be appropriate for some but not all of the model parameters, which characterize the effect of soil surface roughness and vegetation on the terrestrial brightness temperature. Consequently, new calibration procedures that account for the different relative sensitivities of these model parameters at larger incidence angles may need to be developed in the future. Numéro de notice : A2016-847 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2509176 En ligne : https://doi.org/10.1109/TGRS.2015.2509176 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82928
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 5 (May 2016) . - pp 2949 - 2962[article]Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data / Elisa Schäfer in Ecological indicators, vol 64 (May 2016)
[article]
Titre : Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data Type de document : Article/Communication Auteurs : Elisa Schäfer, Auteur ; Janne Heiskanen, Auteur ; Vuokko Heikinheimo, Auteur ; Petri Pellikka, Auteur Année de publication : 2016 Article en page(s) : pp 49 - 58 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] arbre (flore)
[Termes IGN] biodiversité
[Termes IGN] canopée
[Termes IGN] forêt tropicale
[Termes IGN] image aérienne
[Termes IGN] Kenya
[Termes IGN] placette d'échantillonnage
[Termes IGN] segmentation d'imageRésumé : (auteur) With the ongoing global biodiversity loss, approaches to measuring and monitoring biodiversity are necessary for effective conservation planning, especially in tropical forests. Remote sensing has much potential for biodiversity mapping, and high spatial resolution imaging spectroscopy (IS) allows for direct prediction of tree species diversity based on spectral reflectance. The objective of this study was to test an approach for mapping tree species alpha diversity that takes advantage of an unsupervised object-based clustering. Tree species diversity of a tropical montane forest in the Taita Hills, Kenya, was mapped based on spectral variation of high spatial resolution IS data.
Airborne IS data and species data from 31 field plots were collected in the study area. Species diversity measures were obtained from the IS data by clustering spectrally similar image segments representing tree crowns. In order to do this, the image was segmented to objects that represented tree crowns. Three measures of species diversity were calculated based on the field data and on the clustering results, and the relationships were statistically analyzed.
According to the results, the approach succeeded well in revealing tree species diversity patterns. Especially, tree species richness was well predicted (RMSE = 3 species; r2 = 0.50) directly based on the clustering results. The optimal number of clusters was found to be close to the estimated number of tree species in the forest. Minimum tree size was an important determinant of the relationships, because only part of the trees are visible to the airborne sensor in the multi-layered closed canopy forest.
In general, the object-based approach proved to be a viable alternative to a pixel-based clustering. The approach takes advantage of the capability of IS to detect spectral differences among tree crowns, but without the need for spectral training data, which is expensive to collect. With further development, the approach could be applied also for estimating beta diversity.Numéro de notice : A2016-346 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecolind.2015.12.026 En ligne : http://dx.doi.org/10.1016/j.ecolind.2015.12.026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81035
in Ecological indicators > vol 64 (May 2016) . - pp 49 - 58[article]Remote sensing technologies for enhancing forest inventories: A review / Joanne C. White in Canadian journal of remote sensing, vol 42 n° 5 ([01/05/2016])
[article]
Titre : Remote sensing technologies for enhancing forest inventories: A review Type de document : Article/Communication Auteurs : Joanne C. White, Auteur ; Nicholas C. Coops, Auteur ; Michael A. Wulder, Auteur ; Mikko Vastaranta, Auteur ; Thomas Hilker, Auteur ; Piotr Tompalski, Auteur Année de publication : 2016 Article en page(s) : pp 619 - 641 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] photogrammétrie numérique
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestre
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Forest inventory and management requirements are changing rapidly in the context of an increasingly complex set of economic, environmental, and social policy objectives. Advanced remote sensing technologies provide data to assist in addressing these escalating information needs and to support the subsequent development and parameterization of models for an even broader range of information needs. This special issue contains papers that use a variety of remote sensing technologies to derive forest inventory or inventory-related information. Herein, we review the potential of 4 advanced remote sensing technologies, which we posit as having the greatest potential to influence forest inventories designed to characterize forest resource information for strategic, tactical, and operational planning: airborne laser scanning (ALS), terrestrial laser scanning (TLS), digital aerial photogrammetry (DAP), and high spatial resolution (HSR)/very high spatial resolution (VHSR) satellite optical imagery. ALS, in particular, has proven to be a transformative technology, offering forest inventories the required spatial detail and accuracy across large areas and a diverse range of forest types. The coupling of DAP with ALS technologies will likely have the greatest impact on forest inventory practices in the next decade, providing capacity for a broader suite of attributes, as well as for monitoring growth over time. Numéro de notice : A2016--127 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1080/07038992.2016.1207484 En ligne : http://dx.doi.org/10.1080/07038992.2016.1207484 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85113
in Canadian journal of remote sensing > vol 42 n° 5 [01/05/2016] . - pp 619 - 641[article]Terrestrial laser scanning in forest inventories / Xinlian Liang in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
[article]
Titre : Terrestrial laser scanning in forest inventories Type de document : Article/Communication Auteurs : Xinlian Liang, Auteur ; Ville Kankare, Auteur ; Juha Hyyppä, Auteur Année de publication : 2016 Article en page(s) : pp 63 – 77 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestreRésumé : (auteur) Decision making on forest resources relies on the precise information that is collected using inventory. There are many different kinds of forest inventory techniques that can be applied depending on the goal, scale, resources and the required accuracy. Most of the forest inventories are based on field sample. Therefore, the accuracy of the forest inventories depends on the quality and quantity of the field sample. Conventionally, field sample has been measured using simple tools. When map is required, remote sensing materials are needed. Terrestrial laser scanning (TLS) provides a measurement technique that can acquire millimeter-level of detail from the surrounding area, which allows rapid, automatic and periodical estimates of many important forest inventory attributes. It is expected that TLS will be operationally used in forest inventories as soon as the appropriate software becomes available, best practices become known and general knowledge of these findings becomes more wide spread. Meanwhile, mobile laser scanning, personal laser scanning, and image-based point clouds became capable of capturing similar terrestrial point cloud data as TLS. This paper reviews the advances of applying TLS in forest inventories, discusses its properties with reference to other related techniques and discusses the future prospects of this technique. Numéro de notice : A2016-545 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2016.01.006 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.01.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81691
in ISPRS Journal of photogrammetry and remote sensing > vol 115 (May 2016) . - pp 63 – 77[article]On the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters / Cédric Vega in Remote sensing of environment, vol 175 (15 March 2016)
[article]
Titre : On the interest of penetration depth, canopy area and volume metrics to improve Lidar-based models of forest parameters Type de document : Article/Communication Auteurs : Cédric Vega , Auteur ; Jean-Pierre Renaud , Auteur ; Sylvie Durrieu, Auteur ; Marc Bouvier, Auteur Année de publication : 2016 Projets : FORESEE / Bigot-de-Morogues, Francis Article en page(s) : pp 32 - 42 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] biomasse aérienne
[Termes IGN] classification ascendante hiérarchique
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] feuillu
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] métrique
[Termes IGN] modèle numérique de surface de la canopée
[Termes IGN] modèle numérique de terrain
[Termes IGN] semis de points
[Termes IGN] surface terrièreRésumé : (auteur) We proposed a new area-based approach to process Lidar point clouds and develop new sets of metrics to improve models dedicated to predict forest parameters. First, we introduced point normalization based on penetration depth below the outer canopy layer to avoid biases introduced by ground normalization and canopy surface heterogeneity during metric computation. Second, we proposed computation of area and volume metrics from canopy surface models computed from both first and last returns to better characterize the 3D plot heterogeneity. The set of proposed metrics were combined with traditional ones, based on point height above ground level, to measure their contribution to models of basal area (BA) and aboveground volume (AGV). The modeling framework included a wide range of forest types, canopy structures and Lidar characteristics. Models were developed for all sites grouped together or separately. In each case, the set of metrics was submitted to a hierarchical clustering process to select the best variables to be included in the models that were further established using a best-subset method. Overall, the introduction of the proposed metrics allowed a reduction in models root mean squared error from − 0.06% to 19.58% according to forest types and target forest parameters. Best improvements were achieved for broadleaved forests, showing the potential of the proposed metrics to efficiently characterize the structure of such porous forest canopies. Numéro de notice : A2016--089 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2015.12.039 Date de publication en ligne : 07/01/2016 En ligne : http://doi.org/10.1016/j.rse.2015.12.039 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84582
in Remote sensing of environment > vol 175 (15 March 2016) . - pp 32 - 42[article]An evolutionary ecology perspective to address forest pathology challenges of today and tomorrow / Marie-Laure Desprez-Loustau in Annals of Forest Science, vol 73 n° 1 (March 2016)PermalinkAssessing the contribution of woody materials to forest angular gap fraction and effective leaf area index using terrestrial laser scanning data / Guang Zheng in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)PermalinkGéo-poppy, un serveur web SIG portable pour le recueil de données terrain / Julien Ancelin in Géomatique expert, n° 109 (mars - avril 2016)PermalinkA GEOBIA framework for the implementation of national and international forest definitions using very high spatial resolution optical satellite data / M. Tompoulidou in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)PermalinkNew modelling approaches to predict wood properties from its cellular structure: image-based representation and meshless methods / Patrick Perré in Annals of Forest Science, vol 73 n° 1 (March 2016)PermalinkRegional scale rain-forest height mapping using regression-kriging of spaceborne and airborne Lidar data: application on French Guiana / Ibrahim Fayad in Remote sensing, vol 8 n° 3 (March 2016)PermalinkMangrove forest characterization in Southeast Côte d’Ivoire / Isimemen Osemwegie in Open journal of forestry, vol 6 n° 3 (February 2016)PermalinkPan-tropical hinterland forests: mapping minimally disturbed forests / Alexandra Tyukavina in Global ecology and biogeography, vol 25 n° 2 (February 2016)PermalinkTerrestrial laser scanning in forest inventories / Xinlian Liang in GIM international, vol 30 n° 2 (February 2016)PermalinkUse of models in large-area forest surveys: comparing model-assisted, model-based and hybrid estimation / Göran Stahl in Forest ecosystems, vol 3 (2016)PermalinkPermalinkApplication of topo-edaphic factors and remotely sensed vegetation indices to enhance biomass estimation in a heterogeneous landscape in the Eastern Arc mountains of Tanzania / Mercy Ojoyi in Geocarto international, vol 31 n° 1 - 2 (January - February 2016)PermalinkApplication des techniques de photogrammétrie par drone à la caractérisation des ressources forestières / Jonathan Lisein (2016)PermalinkPermalinkAssessment of forest canopy vertical structure with multi - scale remote sensing : from the plot to the large area / Phil Wilkes (2016)PermalinkAssessment of the cover changes and the soil loss potential in European forestland: First approach to derive indicators to capture the ecological impacts on soil-related forest ecosystems / P. Borrelli in Ecological indicators, vol 60 (January 2016)PermalinkPermalinkCompressive sensing for multibaseline polarimetric SAR tomography of forested areas / Xinwu Li in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkPermalinkForest stand segmentation using airborne lidar data and very high resolution multispectral imagery / Clément Dechesne (2016)PermalinkLa forêt en chiffres et en cartes / Institut national de l'information géographique et forestière (2012 -) (2016)PermalinkGini coefficient predictions from airborne lidar remote sensing display the effect of management intensity on forest structure / Rubén Valbuena in Ecological indicators, vol 60 (January 2016)PermalinkIn-Tree: Note de synthèse « Une peste végétale n’est pas toujours une peste végétale » / Frank Krumm (2016)PermalinkLes indicateurs de gestion durable des forêts françaises métropolitaines, édition 2015, Tome 1. Résultats / Institut national de l'information géographique et forestière (2012 -) (2016)PermalinkLes indicateurs de gestion durable des forêts françaises métropolitaines, édition 2015, Tome 2. Notice méthodologique : Caractéristiques techniques des données, méthode de calcul et pistes d'amélioration / Ministère de l’Agriculture, de l’Agroalimentaire et de la Forêt (France) (2016)PermalinkMicrowave unmixing with video segmentation for inferring broadleaf and needleleaf brightness temperatures and abundances from mixed forest observations / Lingjia Gu in IEEE Transactions on geoscience and remote sensing, vol 54 n° 1 (January 2016)PermalinkModélisation de la structure en diamètre des reboisements et des peuplements naturels de Cèdre de l’Atlas (Cedrus atlantica Manetti) du Djurdjura (Algérie) / Khellaf Rabhi in Revue forestière française, vol 68 n° 1 (janvier 2016)PermalinkNational Forest Inventories : assessment of wood availability and use, ch. Progress towards harmonised assessment of availability and use of wood resources in Europe / Claude Vidal (2016)PermalinkPilot project on the system for evaluation of the management of forests (SEMAFOR) / Organisation des Nations Unies pour l'alimentation et l'agriculture (Rome, Italie) (2016)PermalinkRadar based classification prior to biomass retrieval from P-Band SAR data / Pierre-Louis Frison (2016)PermalinkUne strate herbacée monopoliste : quelle concurrence vis-à-vis de l’eau pour le peuplement adulte ? / Rémy Gobin in Rendez-vous techniques, n° 48-49 (été automne 2015)PermalinkThe ill wind that blew some good / Miroslav Holubec in GEO: Geoconnexion international, vol 15 n° 1 (January 2016)PermalinkTowards a system combining SAR and optical Sentinel data to monitor gold mining in the Guiana shield / Mathieu Rahm (2016)PermalinkCanopy density model: A new ALS-derived product to generate multilayer crown cover maps / António Ferraz in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)PermalinkIs Close-to-Nature Silviculture (CNS) an adequate concept to adapt forests to climate change? / Peter Spathelf in Landbauforschung, vol 65 n° 3-4 (December 2015)PermalinkA meta-analysis of functional group responses to forest recovery outside of the tropics / Rebecca Spake in Conservation biology, vol 29 n° 6 (December 2015)PermalinkResidual vegetation patches within natural boreal wild fires: Characterizing by pattern metrics, land cover expec tations and proximity to firebreak features / Yikalo H. Araya in Geomatica, vol 69 n° 4 (December 2015)PermalinkSemi-supervised SVM for individual tree crown species classification / Michele Dalponte in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)PermalinkXylem and soil CO2 fluxes in a Quercus pyrenaica Willd. coppice: root respiration increases with clonal size / Roberto Salomón in Annals of Forest Science, vol 72 n° 8 (December 2015)PermalinkChoice experiment assessment of public preferences for forest structural attributes / Marek Giergiczny in Ecological economics, vol 119 (November 2015)PermalinkAccelerated deforestation driven by large-scale land acquisitions in Cambodia / Kyle Frankel Davis in Nature geoscience, vol 8 n° 10 (October 2015)PermalinkCaring for the planet’s lungs / Judith Metschies in GEO: Geoconnexion international, vol 14 n° 9 (October 2015)PermalinkInvestigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas / Timothy Dube in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)PermalinkLand cover changes assessment using object-based image analysis in the Binah River watershed (Togo and Benin) / Hèou Maléki Badjana in Earth and space science, vol 2 n° 10 (October 2015)PermalinkManaging tree plantations as novel socioecological systems: Australian and North American perspectives / David Lindenmayer in Canadian Journal of Forest Research, vol 45 n° 10 (October 2015)Permalink