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scientifique

Forest structure and fine root biomass influence soil CO2 efflux in temperate forests under drought / Antonios Apostolakis in Forests, vol 14 n° 2 (February 2023)  

Public [article]  inForests > vol 14 n° 2 (February 2023) . - n° 411 Titre : Forest structure and fine root biomass influence soil CO2 efflux in temperate forests under drought Type de document : Article/Communication Auteurs : Antonios Apostolakis, Auteur ; Ingo Schöning, Auteur ; Beate Michalzik, Auteur ; et al., Auteur Année de publication : 2023 Article en page(s) : n° 411 Langues : Anglais (eng) Descripteur : [Termes IGN] Allemagne [Termes IGN] biomasse forestière [Termes IGN] forêt tempérée [Termes IGN] puits de carbone [Termes IGN] qualité du sol [Termes IGN] sécheresse [Termes IGN] structure d'un peuplement forestier [Termes IGN] température au sol [Termes IGN] teneur en carbone [Termes IGN] teneur en eau de la végétation [Vedettes matières IGN] Végétation et changement climatique Numéro de notice : A2023-165 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.3390/f14020411 Date de publication en ligne : 17/12/2023 En ligne : https://doi.org/10.3390/f14020411 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102871 [article]

Exploring the influencing factors in identifying soil texture classes using multitemporal Landsat-8 and Sentinel-2 data / Yanan Zhou in Remote sensing, vol 14 n° 21 (November-1 2022)  

Public [article]  inRemote sensing > vol 14 n° 21 (November-1 2022) . - n° 5571 Titre : Exploring the influencing factors in identifying soil texture classes using multitemporal Landsat-8 and Sentinel-2 data Type de document : Article/Communication Auteurs : Yanan Zhou, Auteur ; Wei Wu, Auteur ; Hongbin Liu, Auteur Année de publication : 2022 Article en page(s) : n° 5571 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] carte d'occupation du sol [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] composition des sols [Termes IGN] données multitemporelles [Termes IGN] Extreme Gradient Machine [Termes IGN] Fleuve bleu (Chine) [Termes IGN] image Landsat-8 [Termes IGN] image Sentinel-MSI [Termes IGN] limon [Termes IGN] qualité du sol [Termes IGN] réflectance spectrale [Termes IGN] texture du sol Résumé : (auteur) Soil texture is a key soil property driving physical, chemical, biological, and hydrological processes in soils. The rapid development of remote sensing techniques shows great potential for mapping soil properties. This study highlights the effectiveness of multitemporal remote sensing data in identifying soil textural class by using retrieved vegetation properties as proxies of soil properties. The impacts of sensors, modeling resolutions, and modeling techniques on the accuracy of soil texture classification were explored. Multitemporal Landsat-8 and Sentinel-2 images were individually acquired at the same time periods. Three satellite-based experiments with different inputs, i.e., Landsat-8 data, Sentinel-2 data (excluding red-edge parameters), and Sentinel-2 data (including red-edge parameters) were conducted. Modeling was carried out at three spatial resolutions (10, 30, 60 m) using five machine-learning (ML) methods: random forest, support vector machine, gradient-boosting decision tree, categorical boosting, and super learner that combined the four former classifiers based on the stacking concept. In addition, a novel SHapley Addictive Explanation (SHAP) technique was introduced to explain the outputs of the ML model. The results showed that the sensors, modeling resolutions, and modeling techniques significantly affected the prediction accuracy. The models using Sentinel-2 data with red-edge parameters performed consistently best. The models usually gave better results at fine (10 m) and medium (30 m) modeling resolutions than at a coarse (60 m) resolution. The super learner provided higher accuracies than other modeling techniques and gave the highest values of overall accuracy (0.8429), kappa (0.7611), precision (0.8378), recall rate (0.8393), and F1-score (0.8398) at 30 m with Sentinel-2 data involving red-edge parameters. The SHAP technique quantified the contribution of each variable for different soil textural classes, revealing the critical roles of red-edge parameters in separating loamy soils. This study provides comprehensive insights into the effective modeling of soil properties on various scales using multitemporal optical images. Numéro de notice : A2022-856 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.3390/rs14215571 Date de publication en ligne : 04/11/2022 En ligne : https://doi.org/10.3390/rs14215571 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102104 [article]

Assessment of land suitability potentials for winter wheat cultivation by using a multi criteria decision Support-Geographic information system (MCDS-GIS) approach in Al-Yarmouk Basin (Syria) / Safwan Mohammed in Geocarto international, vol 37 n° 6 ([01/04/2022])  

Public [article]  inGeocarto international > vol 37 n° 6 [01/04/2022] . - pp 1645 - 1663 Titre : Assessment of land suitability potentials for winter wheat cultivation by using a multi criteria decision Support-Geographic information system (MCDS-GIS) approach in Al-Yarmouk Basin (Syria) Type de document : Article/Communication Auteurs : Safwan Mohammed, Auteur ; Karam Alsafadi, Auteur ; Haidar Ali, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 1645 - 1663 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] analyse multicritère [Termes IGN] blé (céréale) [Termes IGN] cultures [Termes IGN] données météorologiques [Termes IGN] état du sol [Termes IGN] MNS SRTM [Termes IGN] outil d'aide à la décision [Termes IGN] qualité du sol [Termes IGN] Syrie [Termes IGN] système d'information géographique Résumé : (auteur) In the last few years, the agricultural sector in Syria has suffered from major problems related to land degradation. To cope with this problem, a land suitability assessment has become an essential tool for sustainable land use management. The present research qualitatively evaluated the suitability of land in the Al-Yarmouk Basin (S-Syria) for rainfed winter wheat (Triticum aestivum) cultivation. In this study, a regional spatial approach involving three steps was developed, based on the method proposed by Sys et al. In the first step, a soil survey was carried out and 107 soil profiles were described, sampled and analyzed. In the second step, climatic gridded datasets from 1984–2014 MRm at a high spatial resolution (30 meters) and the Digital Elevation Model (DEM) were clipped from NASA's Shuttle Radar Topography Mission (SRTM) and prepared for the study area. In the third step, a land suitability assessment was performed using the geographical information system (GIS) and multi criteria decision support (MCDS). Soil survey outcomes showed that the study area was dominated by five soil orders: Mollisols, Inceptisols, Vertisols, Entisols and Aridisols. Also, results from the Sys model illustrated that more than 23.8% of the study area is highly suitable (S1–0) for wheat production without any limitations, whereas 38.7% and 37.5% are highly suitable (S1–1) and moderately suitable (S2), respectively. Also, the study emphasizes the important role of topographical factors in the study area for wheat cultivation. All in all, this research suggests W-Syria as a potential region for wheat cultivation, instead of the eastern area which is subject to climate change and a shortage of water. Integrating the Sys-approach and the GIS framework offers a good tool for policy-makers to apply in Syria for land suitability assessments. Numéro de notice : A2022-474 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2020.1790674 Date de publication en ligne : 15/07/2020 En ligne : https://doi.org/10.1080/10106049.2020.1790674 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100821 [article]

Spatial distribution of lead (Pb) in soil: a case study in a contaminated area of the Czech Republic / Nicolas Francos in Geomatics, Natural Hazards and Risk, vol 13 (2022)  

Public [article]  inGeomatics, Natural Hazards and Risk > vol 13 (2022) . - pp 610 - 620 Titre : Spatial distribution of lead (Pb) in soil: a case study in a contaminated area of the Czech Republic Type de document : Article/Communication Auteurs : Nicolas Francos, Auteur ; Asa Gholizadeh, Auteur ; Eyal Ben-Dor, Auteur Année de publication : 2022 Article en page(s) : pp 610 - 620 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de groupement [Termes IGN] autocorrélation spatiale [Termes IGN] contamination [Termes IGN] distribution spatiale [Termes IGN] image infrarouge [Termes IGN] interpolation spatiale [Termes IGN] krigeage [Termes IGN] plomb [Termes IGN] qualité du sol [Termes IGN] République Tchèque Résumé : (auteur) For decades, the Příbram district in the Czech Republic has been affected by industrial and mining activities, which are the main sources of heavy metal pollutants and negatively affect soil quality. A recent study examined visible–near-infrared (VNIR), shortwave-infrared (SWIR), and X-ray fluorescence (XRF) spectroscopy to model soil lead (Pb) content in a selected area located in Příbram. Following that study, and using the data, we examined the spatial distribution of Pb content in the soil, with a combination of traditional techniques (Moran’s I, hotspot analysis, and Kriging). One of the novel points of this work is the use of the Getis–Ord hotspot analysis before the execution of Kriging interpolation to better emphasize clustering patterns. The results indicated that Pb was a spatially dependent soil property and through extensive in-situ sampling, it was possible to generate an accurate interpolation model. The high-Pb hotspots coincided with topographic obstacles that were modeled using topographic profiles extracted from Google Earth, indicating that Pb content does not always exhibit a direct relationship with topographic height as a result of runoff, due to the contribution of topographic steps. This observation provides a new perspective on the relationship between Pb content and topographic patterns. Numéro de notice : A2022-872 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475705.2022.2039786 Date de publication en ligne : 23/02/2022 En ligne : https://doi.org/10.1080/19475705.2022.2039786 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102166 [article]

GIS in soil survey and soil mapping / Perparim Ameti in Geodesy and cartography, vol 47 n° 2 (July 2021)  

Public [article]  inGeodesy and cartography > vol 47 n° 2 (July 2021) . - pp 80 - 88 Titre : GIS in soil survey and soil mapping Type de document : Article/Communication Auteurs : Perparim Ameti, Auteur ; Besim Ajvasi, Auteur Année de publication : 2021 Article en page(s) : pp 80 - 88 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] carte pédologique [Termes IGN] géodatabase [Termes IGN] Kosovo [Termes IGN] lever mobile [Termes IGN] planification [Termes IGN] qualité du sol [Termes IGN] SIG nomade [Termes IGN] système d'information géographique [Termes IGN] utilisation du sol Résumé : (auteur) The main goal of this paper is to present a methodology for land evaluation by supporting decision-makers with reliable information for the land-use planning process. One of the focuses of this paper is given to the survey process and interpretation between soil survey, soil survey interpretation, and physical land evaluation. Such processes are realized using mobile mapping tools with integrated Global Position Systems (GPS) and Geographic Information Systems (GIS). Both have increased the efficiency of data communication technologies by enabling real-time communication between people located in the field and office as well. For the soil classification as a key component of soil surveys is used World Reference Base (WRB) for Soil Resources. This is a common tool to summarize the wealth of information from soil profiles for the purpose of land evaluation. The final results showed a soil classification map. Such results are derived from many activities, since it includes a preliminary land evaluation, field soil survey with auger holes and profiles as well. This methodology is used for the first time in the selected study area. Numéro de notice : A2021-567 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3846/gac.2021.12116 Date de publication en ligne : 15/07/2021 En ligne : https://doi.org/10.3846/gac.2021.12116 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98137 [article]

Cultivation profile: a visual evaluation method of soil structure adapted to the analysis of the impacts of mechanical site preparation in forest plantations / Catherine Collet in European Journal of Forest Research, vol 140 n° 1 (February 2021)  

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An integration of bioclimatic, soil, and topographic indicators for viticulture suitability using multi-criteria evaluation: a case study in the Western slopes of Jabal Al Arab—Syria / Karam Alsafadi in Geocarto international, vol 35 n° 13 ([01/10/2020])  

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Services écosystémiques et protection des sols / Carole Hermon (2018)    

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Optimizing the bioindication of forest soil acidity, nitrogen and mineral nutrition using plant species / Paulina E. Pinto in Ecological indicators, vol 71 (December 2016)  

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Using high-resolution, multispectral imagery to assess the effect of soil properties on vegetation reflectance at an abandoned feedlot / Prosper Gbolo in Geocarto international, vol 30 n° 7 - 8 (August - September 2015)  

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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)  

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Potential indicators of soil quality in temperate forest ecosystems: a case study in the Basque Country / Nahia Gartzia-Bengoetxea in Annals of Forest Science, Vol 66 n° 3 (April - May 2009)  

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Les sites pollués / Paul Lecomte (1998)

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Agriculture, le déterminisme climatique de la maturation du raisin, Application au zonage de la teneur en sucre dans la communauté européenne / C. Riou (1994)

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Remote sensing of soils in the eastern Palouse region with Landsat Thematic Mapper / B.E. Frazier in Remote sensing of environment, vol 28 n° 1 (April - June 1989)  

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