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Remote sensing of plant biodiversity / Jeannine Cavender-Bares (2020)  

Public Titre : Remote sensing of plant biodiversity Type de document : Monographie Auteurs : Jeannine Cavender-Bares, Éditeur scientifique ; John A. Gamon, Éditeur scientifique ; Philip A. Townsend, Éditeur scientifique Editeur : Springer Nature Année de publication : 2020 Importance : 581 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-33157-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biodiversité [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] écosystème [Termes IGN] espèce exotique envahissante [Termes IGN] hybridation naturelle (végétation) [Termes IGN] image hyperspectrale [Termes IGN] protection du paysage [Termes IGN] surveillance de la végétation Résumé : (éditeur) This Open Access volume aims to methodologically improve our understanding of biodiversity by linking disciplines that incorporate remote sensing, and uniting data and perspectives in the fields of biology, landscape ecology, and geography. The book provides a framework for how biodiversity can be detected and evaluated—focusing particularly on plants—using proximal and remotely sensed hyperspectral data and other tools such as LiDAR. The volume, whose chapters bring together a large cross-section of the biodiversity community engaged in these methods, attempts to establish a common language across disciplines for understanding and implementing remote sensing of biodiversity across scales. The first part of the book offers a potential basis for remote detection of biodiversity. An overview of the nature of biodiversity is described, along with ways for determining traits of plant biodiversity through spectral analyses across spatial scales and linking spectral data to the tree of life. The second part details what can be detected spectrally and remotely. Specific instrumentation and technologies are described, as well as the technical challenges of detection and data synthesis, collection and processing. The third part discusses spatial resolution and integration across scales and ends with a vision for developing a global biodiversity monitoring system. Topics include spectral and functional variation across habitats and biomes, biodiversity variables for global scale assessment, and the prospects and pitfalls in remote sensing of biodiversity at the global scale. Note de contenu : 1- The use of remote sensing to enhance biodiversity monitoring and detection: A critical challenge for the twenty-first century 2- Applying remote sensing to biodiversity science 3- Scaling functional traits from leaves to canopies 4- The Laegeren site: An augmented forest laboratory 5- Lessons learned from spectranomics: Wet tropical forests 6- Remote sensing for early, detailed, and accurate detection of forest disturbance and decline for protection of biodiversity 7- Linking leaf spectra to the plant tree of life 8- Linking foliar traits to belowground processes 9- Using remote sensing for modeling and monitoring species distributions 10- Remote sensing of geodiversity as a link to biodiversity 11- Predicting patterns of plant diversity and endemism in the tropics using remote sensing data: A study case from the Brazilian Atlantic Forest 12- Remote detection of invasive alien species 13- A range of earth observation techniques for assessing plant diversity 14- How the optical properties of leaves modify the absorption and scattering of energy and enhance leaf functionality 15- Spectral field campaigns: Planning and data collection 16- Consideration of scale in remote sensing of biodiversity 17- Integrating biodiversity, remote sensing, and auxiliary information for the study of ecosystem functioning and conservation at large spatial scales 18- Essential biodiversity variables: Integrating in-situ observations and remote sensing through modeling Numéro de notice : 25919 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Monographie En ligne : https://link.springer.com/book/10.1007%2F978-3-030-33157-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96126

Mapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS / D.A. Fuentes in Remote sensing of environment, vol 103 n° 3 (15 August 2006)  

Public [article]  inRemote sensing of environment > vol 103 n° 3 (15 August 2006) . - pp 312 - 323 Titre : Mapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS Type de document : Article/Communication Auteurs : D.A. Fuentes, Auteur ; John A. Gamon, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 312 - 323 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] Californie (Etats-Unis) [Termes IGN] circulation atmosphérique [Termes IGN] dioxyde de carbone [Termes IGN] données de terrain [Termes IGN] écosystème [Termes IGN] image AVIRIS [Termes IGN] image hyperspectrale [Termes IGN] indice de végétation [Termes IGN] réflectance spectrale [Termes IGN] sécheresse [Termes IGN] vapeur d'eau Résumé : (Auteur) Using simple models derived from spectral reflectance, we mapped the patterns of ecosystem CO2 and water fluxes in a semi-arid site in southern California during a period of extreme disturbance, marked by drought and fire. Employing a combination of low (not, vert, similar 2 km) and high (not, vert, similar 16 km) altitude images from the hyperspectral Airborne Visible Infrared Imaging Spectrometer (AVIRIS), acquired between April 2002 and September 2003, and ground data collected from an automated tram system, several vegetation indices were calculated for Sky Oaks field station, a FLUXNET and SpecNet site located in northern San Diego County (CA, USA). Based on the relationships observed between the fluxes measured by the eddy covariance tower and the vegetation indices, net CO2 and water vapor flux maps were derived for the region around the flux tower. Despite differences in the scale of the images (from not, vert, similar 2 m to 16 m pixel size) as well as marked differences in environmental conditions (drought in 2002, recovery in early 2003, and fire in mid 2003), net CO2 and water flux modeled from AVIRIS-derived reflectance indices (NDVI, PRI and WBI) effectively tracked changes in tower fluxes across both drought and fire, and readily revealed spatial variation in fluxes within this landscape. After an initial period of net carbon uptake, drought and fire caused the ecosystem to lose carbon to the atmosphere during most of the study period. Our study shows the power of integrating optical and flux data in LUE models to better understand factors driving surface-atmosphere carbon and water vapor flux cycles, one of the main goals of SpecNet. Numéro de notice : A2006-333 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.10.028 En ligne : https://doi.org/10.1016/j.rse.2005.10.028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28057 [article]

vol 103 n° 3 - 15 August 2006 - Spectral network (Bulletin de Remote sensing of environment) / John A. Gamon  

Public [n° ou bulletin]  Titre : vol 103 n° 3 - 15 August 2006 - Spectral network Type de document : Périodique Auteurs : John A. Gamon, Éditeur scientifique Année de publication : 2006 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Télédétection Numéro de notice : 110-0613 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : https://www.sciencedirect.com/journal/remote-sensing-of-environment/vol/100/issu [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=10412 [n° ou bulletin]

Contient

• Spectral Network (SpecNet): what is it and why do we need it? / John A. Gamon in Remote sensing of environment, vol 103 n° 3 (15 August 2006)  
• Comparison of spectral indices obtained using multiple spectroradiometers / K.L. Castro-Esau in Remote sensing of environment, vol 103 n° 3 (15 August 2006)  
• Mapping carbon and water vapor fluxes in a chaparral ecosystem using vegetation indices derived from AVIRIS / D.A. Fuentes in Remote sensing of environment, vol 103 n° 3 (15 August 2006)  

Spectral Network (SpecNet): what is it and why do we need it? / John A. Gamon in Remote sensing of environment, vol 103 n° 3 (15 August 2006)  

Public [article]  inRemote sensing of environment > vol 103 n° 3 (15 August 2006) . - pp 227 - 235 Titre : Spectral Network (SpecNet): what is it and why do we need it? Type de document : Article/Communication Auteurs : John A. Gamon, Auteur ; A.F. Rahman, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 227 - 235 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] atmosphère terrestre [Termes IGN] circulation atmosphérique [Termes IGN] image optique Résumé : (Auteur) Effective integration of optical remote sensing with flux measurements across multiple scales is essential for understanding global patterns of surface-atmosphere fluxes of carbon and water vapor. SpecNet (Spectral Network) is an international network of cooperating investigators and sites linking optical measurements with flux sampling for the purpose of improving our understanding of the controls on these fluxes. An additional goal is to characterize disturbance impacts on surface-atmosphere fluxes. To reach these goals, key SpecNet objectives include the exploration of scaling issues, development of novel sampling tools, standardization and intercomparison of sampling methods, development of models and statistical methods that relate optical sampling to fluxes, exploration of component fluxes, validation of satellite products, and development of an informatics approach that integrates disparate data sources across scales. Examples of these themes are summarized in this review. Copyright Elsevier Numéro de notice : A2006-330 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.04.003 En ligne : https://doi.org/10.1016/j.rse.2006.04.003 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28054 [article]

Remote sensing in BOREAS [BOReal Ecosystem Atmosphere Study]: Lessons learned / John A. Gamon in Remote sensing of environment, vol 89 n° 2 (30/01/2004)  

Public [article]  inRemote sensing of environment > vol 89 n° 2 (30/01/2004) . - pp 139 - 162 Titre : Remote sensing in BOREAS [BOReal Ecosystem Atmosphere Study]: Lessons learned Type de document : Article/Communication Auteurs : John A. Gamon, Auteur ; K.F. Huemmrich, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 139 - 162 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] bilan du carbone [Termes IGN] biométrie [Termes IGN] biosphère [Termes IGN] carte d'occupation du sol [Termes IGN] classification [Termes IGN] climat froid [Termes IGN] flore locale [Termes IGN] forêt boréale [Termes IGN] milieu naturel [Termes IGN] mode d'occupation du sol [Termes IGN] zone boréale Résumé : (Auteur) The Boreal Ecosystem Atmosphere Study (BOREAS) was a large, multiyear internationally supported study designed to improve our understanding of the boreal forest biome and its interactions with the atmosphere, biosphere, and the carbon cycle in the face of global climate change. In the initial phase of this study (early 1990s), remote sensing played a key role by providing products needed for planning and modeling. During and after the main BOREAS field campaigns (1994 and 1996), innovative remote sensing approaches and analyses expanded our understanding of the boreal forest in four key areas: (1) definition of vegetation structure, (2) landcover classification, (3) assessment of the carbon balance, and (4) links between surface properties, weather, and climate. In addition to six BOREAS special issues and over 500 journal papers, a principal legacy of BOREAS is its well-documented and publicly available database, which provides a lasting scientific resource and opportunity to further advance our understanding of this critical northern biome. Numéro de notice : A2004-024 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.08.017 En ligne : https://doi.org/10.1016/j.rse.2003.08.017 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26552 [article]