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ICESat/GLAS canopy height sensitivity inferred from Airborne Lidar / Craig Mahoney in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 5 (May 2016)
[article]
Titre : ICESat/GLAS canopy height sensitivity inferred from Airborne Lidar Type de document : Article/Communication Auteurs : Craig Mahoney, Auteur ; Christopher Hopkinson, Auteur ; Alex Held, Auteur ; Natascha Kljun, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 351 - 363 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] altimétrie satellitaire par laser
[Termes IGN] analyse comparative
[Termes IGN] biomasse forestière
[Termes IGN] données ICEsat
[Termes IGN] données lidar
[Termes IGN] hauteur des arbres
[Termes IGN] semis de points
[Termes IGN] télémétrie laser aéroportéRésumé : (Auteur) Variations in laser properties and data acquisition times introduced inconsistencies in Geoscience Laser Altimeter System (GLAS) data. The effect of data inconsistencies, on two GLAS height retrieval methods, from three study sites, are investigated and validated against airborne laser scanning (ALS) percentile heights, from three data sources: all/first return point clouds, and raster canopy height models. GLAS/ALS controls were established as a basis against which the influence of laser number, transmission energy, and seasonality were assessed through comparison statistics. The favored GLAS height method best compared with ALS 95th percentile heights from an all return point cloud. Optimal GLAS data (R2 = 0.69, RMSE = 8.10 m) were noted when GLAS acquired data during summertime from high energy, laser three transmissions. As GLAS data can be used in global biomass assessments, there is a need to understand and quantify the influence of these data inconsistencies on canopy height estimates. Numéro de notice : A2016-410 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.5.351 En ligne : http://dx.doi.org/10.14358/PERS.82.5.351 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81276
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 5 (May 2016) . - pp 351 - 363[article]Forest above ground biomass inversion by fusing GLAS with optical remote sensing data / Xiaohuan Xi in ISPRS International journal of geo-information, vol 5 n° 4 (April 2016)
[article]
Titre : Forest above ground biomass inversion by fusing GLAS with optical remote sensing data Type de document : Article/Communication Auteurs : Xiaohuan Xi, Auteur ; Tingting Han, Auteur ; Cheng Wang, Auteur ; et al., Auteur Année de publication : 2016 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biomasse aérienne
[Termes IGN] classification par réseau neuronal
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] données ICEsat
[Termes IGN] forêt
[Termes IGN] hauteur de la végétation
[Termes IGN] image Landsat-TM
[Termes IGN] image optique
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] MNS ASTER
[Termes IGN] régression
[Termes IGN] Yunnan (Chine)Résumé : (auteur) Forest biomass is an important parameter for quantifying and understanding biological and physical processes on the Earth’s surface. Rapid, reliable, and objective estimations of forest biomass are essential to terrestrial ecosystem research. The Geoscience Laser Altimeter System (GLAS) produced substantial scientific data for detecting the vegetation structure at the footprint level. This study combined GLAS data with MODIS/BRDF (Bidirectional Reflectance Distribution Function) and ASTER GDEM data to estimate forest aboveground biomass (AGB) in Xishuangbanna, Yunnan Province, China. The GLAS waveform characteristic parameters were extracted using the wavelet method. The ASTER DEM was used to compute the terrain index for reducing the topographic influence on the GLAS canopy height estimation. A neural network method was applied to assimilate the MODIS BRDF data with the canopy heights for estimating continuous forest heights. Forest leaf area indices (LAIs) were derived from Landsat TM imagery. A series of biomass estimation models were developed and validated using regression analyses between field-estimated biomass, canopy height, and LAI. The GLAS-derived canopy heights in Xishuangbanna correlated well with the field-estimated AGB (R2 = 0.61, RMSE = 52.79 Mg/ha). Combining the GLAS estimated canopy heights and LAI yielded a stronger correlation with the field-estimated AGB (R2 = 0.73, RMSE = 38.20 Mg/ha), which indicates that the accuracy of the estimated biomass in complex terrains can be improved significantly by integrating GLAS and optical remote sensing data. Numéro de notice : A2016-820 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi5040045 En ligne : https://doi.org/10.3390/ijgi5040045 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82625
in ISPRS International journal of geo-information > vol 5 n° 4 (April 2016)[article]Regional 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)
[article]
Titre : Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne Lidar data: application on French Guiana Type de document : Article/Communication Auteurs : Ibrahim Fayad, Auteur ; Nicolas Baghdadi, Auteur ; Jean-Stéphane Bailly, Auteur ; Nicolas Barbier, Auteur ; Valéry Gond, Auteur ; Bruno Hérault, Auteur ; Mahmoud El-Hajj, Auteur ; Frédéric Fabre, Auteur ; José Perrin, Auteur Année de publication : 2016 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] données ICEsat
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tropicale
[Termes IGN] Guyane (département français)
[Termes IGN] hauteur des arbres
[Termes IGN] krigeage
[Termes IGN] régressionRésumé : (auteur) LiDAR data has been successfully used to estimate forest parameters such as canopy heights and biomass. Major limitation of LiDAR systems (airborne and spaceborne) arises from their limited spatial coverage. In this study, we present a technique for canopy height mapping using airborne and spaceborne LiDAR data (from the Geoscience Laser Altimeter System (GLAS)). First, canopy heights extracted from both airborne and spaceborne LiDAR were extrapolated from available environmental data. The estimated canopy height maps using Random Forest (RF) regression from airborne or GLAS calibration datasets showed similar precisions (~6 m). To improve the precision of canopy height estimates, regression-kriging was used. Results indicated an improvement in terms of root mean square error (RMSE, from 6.5 to 4.2 m) using the GLAS dataset, and from 5.8 to 1.8 m using the airborne LiDAR dataset. Finally, in order to investigate the impact of the spatial sampling of future LiDAR missions on canopy height estimates precision, six subsets were derived from the initial airborne LiDAR dataset. Results indicated that using the regression-kriging approach a precision of 1.8 m on the canopy height map was achievable with a flight line spacing of 5 km. This precision decreased to 4.8 m for flight line spacing of 50 km. Numéro de notice : A2016--121 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/rs8030240 En ligne : http://doi.org/10.3390/rs8030240 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84818
in Remote sensing > vol 8 n° 3 (March 2016)[article]ZY-3 block adjustment supported by GLAS laser altimetry data / Guoyuan Li in Photogrammetric record, vol 31 n° 153 (March - May 2016)
[article]
Titre : ZY-3 block adjustment supported by GLAS laser altimetry data Type de document : Article/Communication Auteurs : Guoyuan Li, Auteur ; Xinming Tang, Auteur ; Xiaoming Gao, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 88 - 107 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] altimétrie satellitaire par laser
[Termes IGN] compensation par bloc
[Termes IGN] données altimétriques
[Termes IGN] données ICEsat
[Termes IGN] image ZiYuan-3Résumé : (Auteur) ZY-3 is the first Chinese civilian high-resolution stereo-mapping satellite, designed for 1:50 000 scale mapping. Although ZY-3 has a very high accuracy for direct image geolocation without ground control points (GCPs), the use of some GCPs is still indispensable for stereo mapping. A novel method is proposed whereby spaceborne Geoscience Laser Altimeter System (GLAS) laser altimetry datasets are viewed as generalised height control points to support a ZY-3 block adjustment. This method separates planimetric and height control, integrating the latter with GLAS data such that, without other GCPs, the vertical accuracy of ZY-3 images can be improved significantly. Both flat and mountainous terrain were selected to evaluate the proposed method. The results show that by adding two GLAS height control points for a single image, or spaced every 50 km in the along-track (orbital) direction for block images, the vertical accuracy can satisfy the requirements of 1:50 000 scale mapping, thus reducing the need for field surveying. Additionally, the method will be valuable for integrating spaceborne laser altimetry data and optical images for global mapping without any GCPs. Numéro de notice : A2016-163 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/phor.12138 Date de publication en ligne : 01/03/2016 En ligne : https://doi.org/10.1111/phor.12138 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80464
in Photogrammetric record > vol 31 n° 153 (March - May 2016) . - pp 88 - 107[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 106-2016011 RAB Revue Centre de documentation En réserve L003 Disponible Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination / Jean-Samuel Proulx-Bourque in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 9 (September 2015)
[article]
Titre : Filtering Global land and surface altimetry data (GLA14) for elevation accuracy determination Type de document : Article/Communication Auteurs : Jean-Samuel Proulx-Bourque, Auteur ; Ramata Magagi, Auteur ; Norman T. O’Neill, Auteur Année de publication : 2015 Article en page(s) : pp 701 - 707 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] altimétrie satellitaire par radar
[Termes IGN] altitude
[Termes IGN] Canada
[Termes IGN] données altimétriques
[Termes IGN] données ICEsat
[Termes IGN] filtrage numérique d'imageRésumé : (auteur) This paper presents a filtering method for ICESat Global Land Surface Altimetry data (GLA14), which is based on indicators to detect potentially contaminated GLA14 elevation points. Potential contamination sources include attitude miscalculation, saturated echoes, equipment noise, the atmosphere, and variable elevation within footprints. For a study site located in Northern Canada, this multi-indicator filter provided a 19 percent reduction in the root mean square error for elevation, when compared to Canadian Digital Elevation Data (CDED). This result demonstrates the method’s ability to provide an improved dataset for vertical accuracy evaluation, with respect to unfiltered GLA14 data. The improvement was achieved with a rejection rate of 69 percent. However, due to the high density of the unfiltered GLA14 data over the study site, a spatially homogeneous distribution of elevation points was maintained, even after filtering. Results also showed the rejection efficiency of most indicators, as well as their complementarity. Numéro de notice : A2015-984 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.9.701 En ligne : https://doi.org/10.14358/PERS.81.9.701 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80265
in Photogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 9 (September 2015) . - pp 701 - 707[article]Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan / Masato Hayashi in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)PermalinkA multi-scale approach to mapping canopy height / Gordon M. Green in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 2 (February 2013)PermalinkUpdating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D / Emilie Le Hir in Journal of The Remote Sensing Society of Japan, vol 32 n° 1 (January 2012)PermalinkImproving the assessment of ICESat water altimetry accuracy accounting for autocorrelation / Hani Abdallah in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 6 (November 2011)PermalinkForestry applications for satellite lidar remote sensing / J. Rosette in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)PermalinkPredicting southeastern forest canopy heights and fire fuel models using GLAS data / M. Ashworth in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 8 (August 2010)PermalinkDefinition of ICESat selection criteria for their use as height references for TanDEM-X / J. Gonzalez in IEEE Transactions on geoscience and remote sensing, vol 48 n° 6 (June 2010)PermalinkUncertainty within satellite LiDAR estimations of vegetation and topography / J. Rosette in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkAssessment of terrain elevation derived from satellite laser altimetry over mountainous forest areas using airborne lidar data / Q. Chen in ISPRS Journal of photogrammetry and remote sensing, vol 65 n° 1 (January - February 2010)PermalinkUpdating and improving the accuracy of a large 3D database through the careful use of GCPs and Icesat data : Example of REFERENCE3D / Emilie Le Hir (2010)Permalink