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Towards linking aboveground vegetation properties and soil microbial communities using remote sensing / Yuki Hamada in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 4 (April 2014) . - pp 311 - 321 Titre : Towards linking aboveground vegetation properties and soil microbial communities using remote sensing Type de document : Article/Communication Auteurs : Yuki Hamada, Auteur ; Jack A. Gilbert, Auteur ; Peter Larsen, Auteur ; Madeline J. Nogaard, Auteur Année de publication : 2014 Article en page(s) : pp 311 - 321 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] biogéographie [Termes IGN] biologie [Termes IGN] biotope [Termes IGN] écosystème [Termes IGN] micro-organisme [Termes IGN] qualité du sol [Termes IGN] sous-sol [Termes IGN] surface du sol [Termes IGN] télédétection spatiale Résumé : (Auteur) Despite their vital role in terrestrial ecosystem function, the distributions and dynamics of soil microbial communities (SMCs) are poorly understood. Vegetation and soil properties are the primary factors that influence SMCs. This paper discusses the potential effectiveness of remote sensing science and technologies for mapping SMC biogeography by characterizing surface biophysical properties (e.g., plant traits and community composition) strongly correlated with SMCs. Using remotely sensed biophysical properties to predict SMC distributions is extremely challenging because of the intricate interactions between biotic and abiotic factors and between above- and below-ground ecosystems. However, the integration of biophysical and soil remote sensing with geospatial information about the environment holds great promise for mapping SMC biogeography. Additional research needs involve microbial taxonomic definition, soil environmental complexity, and scaling strategies. The collaborative effort of experts from diverse disciplines is essential to linking terrestrial surface biosphere observations with subsurface microbial community distributions using remote sensing. Numéro de notice : A2014-209 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.4.311 En ligne : https://doi.org/10.14358/PERS.80.4.311 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33112 [article]

Geostatistical methods for predicting soil moisture continuously in a subalpine basin / Katherine E. Williams in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 4 (April 2014) . - pp 333 - 341 Titre : Geostatistical methods for predicting soil moisture continuously in a subalpine basin Type de document : Article/Communication Auteurs : Katherine E. Williams, Auteur ; Sharolyn Anderson, Auteur Année de publication : 2014 Article en page(s) : pp 333 - 341 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] Colorado (Etats-Unis) [Termes IGN] données lidar [Termes IGN] données localisées 3D [Termes IGN] géostatistique [Termes IGN] humidité du sol [Termes IGN] hydrographie de surface [Termes IGN] image Ikonos [Termes IGN] pente [Termes IGN] régression géographiquement pondérée Résumé : (Auteur) This study presents spatial statistical methods for examining the distribution of soil moisture in a sub-alpine environment. The high local variability of soil moisture is not well characterized by spatial interpolation from dispersed data points. Interpolation using only field samples from Loch Vale, Rocky Mountain National Park, Colorado produced coarse estimates that followed mean soil moisture trends, but failed to capture local mid-slope variation. A properly specified regression model was identified by using dispersed field samples and ancillary data derived from Ikonos-2 and lidar data. This model predicted soil moisture patterns at a much finer spatial resolution. An intensive field campaign provided independent soil moisture measurements that were used to assess the model's accuracy. The modeled soil moisture estimates captured local variability associated with topographic terrain differences along mid-slope areas. Numéro de notice : A2014-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.4.333 En ligne : https://doi.org/10.14358/PERS.80.4.333 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33113 [article]

Monitoring agricultural soil sealing in peri-urban areas using remote sensing / Shiliang Su in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 4 (April 2014) . - pp 367 - 372 Titre : Monitoring agricultural soil sealing in peri-urban areas using remote sensing Type de document : Article/Communication Auteurs : Shiliang Su, Auteur ; Rui Xiao, Auteur ; Yuan Zhang, Auteur Année de publication : 2014 Article en page(s) : pp 367 - 372 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] croissance urbaine [Termes IGN] image aérienne [Termes IGN] impact sur l'environnement [Termes IGN] occupation du sol [Termes IGN] périphérie urbaine [Termes IGN] revêtement [Termes IGN] Shanghai (Chine) [Termes IGN] surface cultivée [Termes IGN] surface imperméable [Termes IGN] surveillance agricole [Termes IGN] urbanisation Résumé : (Auteur) Soil degradation by expansion-driven sealing increases at an unexpected rate globally, but the dynamics of agricultural soil sealing in peri-urban areas remain poorly understood. This study used aerial photographs to monitor patterns of built-up land expansion and subsequent agricultural soil sealing between 1994 and 2006 in peri-urban areas of Shanghai, China. Results indicated that a total of 152,706.5 ha of agricultural soils were sealed. In particular, residential land and industrial land were the major contributors. Buffer analysis demonstrated that agricultural soils with high proximity to roads and urban centers are more vulnerable to be sealed. Percentage of sealed agricultural soils of total agricultural soils had linear relationships with population growth and economic development. These results quantitatively document the impacts of urbanization on agricultural soil sealing. From a management perspective, we argue that the protection of agricultural soils should be integrated with urban planning efforts in China. Numéro de notice : A2014-211 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.4.367 En ligne : https://doi.org/10.14358/PERS.80.4.367 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33114 [article]