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Satellite data as indicators of tree biomass growth and forest dieback in a Mediterranean holm oak forest / Romà Ogaya in Annals of Forest Science, vol 72 n° 1 (January 2015)
[article]
Titre : Satellite data as indicators of tree biomass growth and forest dieback in a Mediterranean holm oak forest Type de document : Article/Communication Auteurs : Romà Ogaya, Auteur ; Adrià Barbeta, Auteur ; Corina Başnou, Auteur ; Josep Peñuelas, Auteur Année de publication : 2015 Article en page(s) : pp 135 - 144 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] biomasse forestière
[Termes IGN] climat méditerranéen
[Termes IGN] croissance des arbres
[Termes IGN] données météorologiques
[Termes IGN] Enhanced vegetation index
[Termes IGN] évapotranspiration
[Termes IGN] forêt méditerranéenne
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Terra-MODIS
[Termes IGN] indice de végétation
[Termes IGN] précipitation
[Termes IGN] Quercus ilexRésumé : (auteur) Context : In the framework of climate change, decreased tree growth and enhanced mortality induced by hot and dry conditions are increasing in many forests around the world, and particularly in Mediterranean forests.
Aims : Our aim was to estimate tree growth and mortality in a Mediterranean holm oak forest, using remote sensing data from MODIS.
Methods : We monitored annual increases of aboveground biomass by measuring tree basal area, and we determined tree mortality by counting dead stems. We analyzed the relationships between forest growth and mortality with mean annual values of some MODIS products and meteorological data.
Results : Mortality and increases of aboveground biomass correlated well with precipitation, September standardized precipitation/evapotranspiration indices (SPEI), and some MODIS products such as NDVI and enhanced vegetation index EVI. Other MODIS products such as gross primary production (GPP) and net photosynthesis, however, showed no clear relationship with tree mortality or measured increases of biomass.
Conclusion : The MODIS products as proxies of ecosystemic productivity (gross primary productivity, net photosynthesis) were weakly correlated with biomass increase, and did not reflect the mortality following the drought of autumn 2011. Nevertheless, NDVI and EVI were efficient indicators of forest productivity and diebackNuméro de notice : A2015-383 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1007/s13595-014-0408-y Date de publication en ligne : 18/09/2014 En ligne : https://doi.org/10.1007/s13595-014-0408-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76875
in Annals of Forest Science > vol 72 n° 1 (January 2015) . - pp 135 - 144[article]Spatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: a case study in the city of Saskatoon (SK, Canada) / Li Shen in Open geosciences, vol 7 n° 1 (January 2015)
[article]
Titre : Spatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: a case study in the city of Saskatoon (SK, Canada) Type de document : Article/Communication Auteurs : Li Shen, Auteur ; Xulin Guo, Auteur ; Kang Xiao, Auteur Année de publication : 2015 Article en page(s) : pp 27 - 39 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Canada
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Landsat
[Termes IGN] image Terra-MODIS
[Termes IGN] milieu urbain
[Termes IGN] régression linéaire
[Termes IGN] température au sol
[Termes IGN] température de l'air
[Termes IGN] température de luminanceRésumé : (auteur) The purpose of this study is to spatiotemporally explore the characteristics of urban temperatures based on multi-temporal satellite data and historical in situ measurements. As one of the most rapidly urbanized cities in Canada, Saskatoon (SK) was selected as our study area. Surface brightness retrieving, Pearson correlation, linear regression modeling, and buffer analysis were applied to different satellite datasets. The results indicate that both Landsat and MODIS data can yield pronounced estimations of daily air temperature with a significantly adjusted R2 of 0.803 and 0.518 at the spatial scales of 120m and 1000 m, respectively. MODIS monthly LST data is highly suitable for monitoring the trend of monthly urban air temperature throughout summer (June, July, and August) due to a high average R2 of 0.8 (P Numéro de notice : A2015-436 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1515/geo-2015-0005 En ligne : https://doi.org/10.1515/geo-2015-0005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77036
in Open geosciences > vol 7 n° 1 (January 2015) . - pp 27 - 39[article]Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data / Jukka Miettinen in Global ecology and conservation, vol 2 (December 2014)
[article]
Titre : Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data Type de document : Article/Communication Auteurs : Jukka Miettinen, Auteur ; Hans-Jürgen Stibig, Auteur ; Frédéric Achard, Auteur Année de publication : 2014 Article en page(s) : pp 24 - 36 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Asie du sud-est
[Termes IGN] forêt tropicale
[Termes IGN] image à haute résolution
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Sentinel-MSI
[Termes IGN] surveillance forestièreRésumé : (auteur) In this review paper, we present geographical, ecological and historical aspects of Southeast Asia from the perspective of forest degradation monitoring and critically discuss available approaches for large area forest degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5–30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of forest degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of forest types and forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that forest degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on forest degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional forest degradation monitoring in Southeast Asia. Numéro de notice : A2014-762 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.gecco.2014.07.007 En ligne : http://www.sciencedirect.com/science/article/pii/S2351989414000134 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76413
in Global ecology and conservation > vol 2 (December 2014) . - pp 24 - 36[article]Estimating fractional land cover in semi-arid central Kalahari: the impact of mapping method (spectral unmixing vs. object-based image analysis) and vegetation morphology / Niti B. Mishra in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)
[article]
Titre : Estimating fractional land cover in semi-arid central Kalahari: the impact of mapping method (spectral unmixing vs. object-based image analysis) and vegetation morphology Type de document : Article/Communication Auteurs : Niti B. Mishra, Auteur ; K.A. Crews, Auteur Année de publication : 2014 Article en page(s) : pp 860-877 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de mélange spectral d’extrémités multiples
[Termes IGN] classification orientée objet
[Termes IGN] image Geoeye
[Termes IGN] indice de végétation
[Termes IGN] Kalahari, désert du
[Termes IGN] occupation du sol
[Termes IGN] photosynthèseRésumé : (Auteur) Focusing on the central Kalahari, this study utilized fractional cover of photosynthetic vegetation (fPV), non-photosynthetic vegetation (fNPV) and bare soil (fBS), derived in situ and estimated from GeoEye-1 imagery using Multiple Endmember Spectral Mixture Analysis (MESMA) and object-based image analysis (OBIA) to determine superior method for fractional cover estimation and the impact of vegetation morphology on the estimation accuracy. MESMA mapped fractional cover by testing endmember models of varying complexity. Based on OBIA, image was segmented at five segmentation scales followed by classification. MESMA provided more accurate fractional cover estimates than OBIA. The increasing segmentation scale in OBIA resulted in a consistent increase in error. Different vegetation morphology types showed varied responses to the changing segmentation scale, reflecting their unique ecology and physiognomy. While areas under woody cover produced lower error even at coarse segmentation scales, those with herbaceous cover provided low error only at the fine segmentation scale. Numéro de notice : A2014-470 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.868041 En ligne : https://doi.org/10.1080/10106049.2013.868041 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74047
in Geocarto international > vol 29 n° 7 - 8 (November - December 2014) . - pp 860-877[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2014041 RAB Revue Centre de documentation En réserve L003 Disponible Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects / Kiyun Yu in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)
[article]
Titre : Estimating leaf chlorophyll of barley at different growth stages using spectral indices to reduce soil background and canopy structure effects Type de document : Article/Communication Auteurs : Kiyun Yu, Auteur ; Victoria Lenz-Wiedemann, Auteur ; X. Chen, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 58 – 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture de précision
[Termes IGN] croissance des arbres
[Termes IGN] exitance spectrale
[Termes IGN] indice de végétation
[Termes IGN] indice foliaire
[Termes IGN] orge (céréale)
[Termes IGN] réflectance spectrale
[Termes IGN] surveillance de la végétation
[Termes IGN] teneur en chlorophylle des feuillesRésumé : (Auteur) Monitoring in situ chlorophyll (Chl) content in agricultural crop leaves is of great importance for stress detection, nutritional state diagnosis, yield prediction and studying the mechanisms of plant and environment interaction. Numerous spectral indices have been developed for chlorophyll estimation from leaf- and canopy-level reflectance. However, in most cases, these indices are negatively affected by variations in canopy structure and soil background. The objective of this study was to develop spectral indices that can reduce the effects of varied canopy structure and growth stages for the estimation of leaf Chl. Hyperspectral reflectance data was obtained through simulation by a radiative transfer model, PROSAIL, and measurements from canopies of barley comprising different cultivars across growth stages using spectroradiometers. We applied a comprehensive band-optimization algorithm to explore five types of spectral indices: reflectance difference (RD), reflectance ratio (RR), normalized reflectance difference (NRD), difference of reflectance ratio (DRR) and ratio of reflectance difference (RRD). Indirectly using the multiple scatter correction (MSC) theory, we hypothesized that RRD can eliminate adverse effects of soil background, canopy structure and multiple scattering. Published indices and multivariate models such as optimum multiple band regression (OMBR), partial least squares regression (PLSR) and support vector machines for regression (SVR) were also employed. Results showed that the ratio of reflectance difference index (RRDI) optimized for simulated data significantly improved the correlation with Chl (R2 = 0.98, p Numéro de notice : A2014-524 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2014.08.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2014.08.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74136
in ISPRS Journal of photogrammetry and remote sensing > vol 97 (November 2014) . - pp 58 – 77[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2014111 RAB Revue Centre de documentation En réserve L003 Disponible Fusion of imaging spectroscopy and airborne laser scanning data for characterization of forest ecosystems – A review / Hossein Torabzadeh in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkModelling electrical conductivity of soil from backscattering coefficient of microwave remotely sensed data using artificial neural network / Walaiporn Phonphan in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)PermalinkMorphometric analysis of Upper Tons basin from Northern Foreland of Peninsular India using CARTOSAT satellite and GIS / Sandeep Kumar Yadav in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)PermalinkPer-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery / Mustafa Neamah Jebur in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)PermalinkSpectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal / I.D. Sanches in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkTracking seasonal changes of leaf and canopy light use efficiency in a Phlomis fruticosa Mediterranean ecosystem using field measurements and multi-angular satellite hyperspectral imagery / S. Stagakis in ISPRS Journal of photogrammetry and remote sensing, vol 97 (November 2014)PermalinkUse of high-resolution satellite data, GIS and NRCS-CN technique for the estimation of rainfall-induced run-off in small catchment of Jharkhand India / Anamika Shalini Tirkey in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)PermalinkAnalyse multi-temporelle des marges fluviales fréquemment inondées à partir d’images satellites Pléiades / Vincent Wawrzyniak in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)PermalinkApport de l'imagerie satellitaire à haute et très haute résolution pour la recherche d'indices de drainage superficiel : Application aux aires d'alimentation de captage (AAC) d'eau potable / Sébastien Rucquoi in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)PermalinkApport de l'imagerie très haute résolution spatiale pour la caractérisation de la densité urbaine / Laurent Bouffier in Revue Française de Photogrammétrie et de Télédétection, n° 208 (Octobre 2014)Permalink