Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing . vol 80 n° 5Paru le : 01/05/2014 ISBN/ISSN/EAN : 0099-1112 |
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Ajouter le résultat dans votre panierAn extended approach for biomass estimation in a mixed vegetation area using ASAR and TM data / Minfeng Xing in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
[article]
Titre : An extended approach for biomass estimation in a mixed vegetation area using ASAR and TM data Type de document : Article/Communication Auteurs : Minfeng Xing, Auteur ; Binbin He, Auteur ; Xingwen Quan, Auteur ; Xiaowen Li, Auteur Année de publication : 2014 Article en page(s) : pp 429 - 438 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biomasse (combustible)
[Termes IGN] image Envisat-ASAR
[Termes IGN] image Landsat-TM
[Termes IGN] télédétection en hyperfréquence
[Termes IGN] végétationRésumé : (Auteur) The use of microwave remote sensing for estimating vegeta-tion biomass is limited in arid regions because of the het-erogeneous distribution of vegetation, variable scattering mechanisms from different vegetation components, and the strong influence from underlying ground surface. In order to minimize this problem, a synergistic method of optical and microwave remote sensing data for the retrieval of aboveg-round biomass (agb) based on the modified water cloud model (WCM) was developed in this paper. Vegetation cover-age which can be easily estimated from optical data as ad-ditional information was combined in this method. Dimidiate pixel model (dpm) and phenological subtraction methodology (psm) were used to estimate vegetation coverage and differen--tiate vegetation types in the sub-pixel domain, respectively. The percentage cover of unmixed vegetation was incorporated to minimize problems associated with heterogeneous vegeta-tion and sparse vegetation cover. Finally, the accuracy and sources of error in this novel AGB retrieval method were evalu-ated. The results showed that the predicted AGB correlated with the measured AGB (R2 = 0.8007; RMSE = 0.2808 kg/m2). Numéro de notice : A2014-241 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.5.429 En ligne : https://doi.org/10.14358/PERS.80.5.429 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33144
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 5 (May 2014) . - pp 429 - 438[article]Laboratory measurements of plant drying: Implications to estimate moisture content from radiative transfer models in two temperate species / Sara Jurdao in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
[article]
Titre : Laboratory measurements of plant drying: Implications to estimate moisture content from radiative transfer models in two temperate species Type de document : Article/Communication Auteurs : Sara Jurdao, Auteur ; Marta Yebra, Auteur ; Patricia Oliva, Auteur ; Emilio Chuvieco, Auteur Année de publication : 2014 Article en page(s) : pp 451 - 459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] chlorophylle
[Termes IGN] Fagus (genre)
[Termes IGN] incendie de forêt
[Termes IGN] indice d'humidité
[Termes IGN] Leaf Area Index
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Quercus pedunculata
[Termes IGN] réflectance végétale
[Termes IGN] risque majeur
[Termes IGN] teneur en eau de la végétationRésumé : (Auteur) The estimation of live fuel moisture content (LFMC) is necessary for fire danger assessment. Several studies have successfully used satellite imagery to estimate LFMC, both using empirical and simulation approaches (Yebra et al., 2013). The latter are based on Radiative Transfer Models (BTM). They are generally more robust and easier to generalize, but they rely heavily on the proper parameterization. Since some of the input parameters are associated with different physiological processes, a better understanding of how those parameters co-vary is necessary for constraining the simulation scenarios, thus avoiding combinations of parameters that are unlikely to occur (for instance, in temperate ecosystems, it is unlikely to find simultaneously high values of leaf chlorophyll and low values of leaf moisture). To improve parameterization of RTM models for LFMC estimation, we conducted a laboratory experiment to measure trends in leaf and canopy variables of two tree species broadly distributed in Eurosiberian climates: Beech (Fagus sylvatica L.) and pedunculate Oak (Quercus robur L.). Measurements of LFMC, equivalent water thickness (EWT), dry matter content (DMC), chlorophyll (ClHh), leaf area index (LAl), leaf angle distribution (LIDF), crown height to width ratio (CHW) and plant reflectance were performed. Significant positive correlations were found between LFMC and EWT (Rs >0.5), and negative ones were found between both parameters and CMb (Rs Numéro de notice : A2014-242 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.5.451 En ligne : https://doi.org/10.14358/PERS.80.5.451 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33145
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 5 (May 2014) . - pp 451 - 459[article]Wetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar / Lian P. Rampi in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 5 (May 2014)
[article]
Titre : Wetland mapping in the upper midwest United States: An object-based approach integrating Lidar and imagery radar Type de document : Article/Communication Auteurs : Lian P. Rampi, Auteur ; Joseph F. Knight, Auteur ; Keith C. Pelletier, Auteur Année de publication : 2014 Article en page(s) : pp 439 - 449 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] classification orientée objet
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] image à haute résolution
[Termes IGN] image aérienne
[Termes IGN] image multibande
[Termes IGN] image radar
[Termes IGN] marais
[Termes IGN] Minnesota (Etats-Unis)Résumé : (Auteur) This study investigated the effectiveness of using high resolution data to map wetlands in three ecoregions in Minnesota. High resolution data included multispectral leaf-off aerial imagery and lidar elevation data. These data were integrated using an Object-Based Image Analysis (OBIA) approach. Results for each study area were compared against field and image interpreted reference data using error matrices, accuracy estimates, and the kappa statistic. Producer's and user's accuracies were in the range of 92 to 96 percent and 91 to 96 percent, respectively, and overall accuracies ranged from 96-98 percent for wetlands larger than 0.20 ha (0.5 acres). The results of this study may allow for increased accuracy of mapping wetlands efforts over traditional remote sensing methods. Numéro de notice : A2014-243 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.5.439 En ligne : https://doi.org/10.14358/PERS.80.5.439 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33146
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 5 (May 2014) . - pp 439 - 449[article]