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Titre : Impacts of drought on biomass and carbon fluxes in the Amazon rainforest : a modeling approach Type de document : Thèse/HDR Auteurs : Yitong Yao, Auteur ; Nicolas Viovy, Directeur de thèse ; Philippe Ciais, Directeur de thèse ; Emilie Joetzjer, Directeur de thèse Editeur : Bures-sur-Yvette : Université Paris-Saclay Année de publication : 2022 Importance : 300 p. Format : 21 x 30 cm Note générale : Bibliographie
These de doctorat de l’université Paris-Saclay, spécialité Surfaces continentalesLangues : Anglais (eng) Descripteur : [Termes IGN] Amazonie
[Termes IGN] arbre mort
[Termes IGN] biomasse forestière
[Termes IGN] changement climatique
[Termes IGN] distribution spatiale
[Termes IGN] dynamique de la végétation
[Termes IGN] forêt tropicale
[Termes IGN] modèle de simulation
[Termes IGN] placette d'échantillonnage
[Termes IGN] puits de carbone
[Termes IGN] sécheresse
[Termes IGN] stress hydrique
[Vedettes matières IGN] Végétation et changement climatiqueIndex. décimale : THESE Thèses et HDR Résumé : (Auteur) Les sécheresses ont eu un impact récurrent sur les forêts tropicales amazoniennes, amenuisant la capacité de puits de carbone de la biomasse forestière. La plupart des modèles globaux de surface terrestre utilisés pour les évaluations du budget mondial du carbone et les projections climatiques futures, n'intègrent pas la mortalité des arbres induite par la sécheresse. Leurs prévisions de la dynamique de la biomasse sont donc sujettes à de grandes incertitudes. Les faiblesses des modèles globaux sont liés à : (1) l’absence de la représentation explicite du transport hydraulique; (2) le manque d'équations basées sur les processus à travers la description de la façon dont une altération du système de transport hydraulique des arbres conduit à la mortalité ; (3) le manque de représentation de la mortalité à travers les tailles des arbres. Tout d'abord, j'ai implémenté une architecture hydraulique mécaniste qui a été conçue par E. Joetzjer, et un module de mortalité des arbres que j'ai conçu dans l'ORCHIDEE-CAN-NHA. Notre modèle a produit des taux annuels de mortalité des arbres comparables à ceux observés et a capturé la dynamique de la biomasse. Ce travail fournit une base pour des recherches ultérieures sur l'assimilation des données d'observation expérimentales afin de paramétrer la mortalité des arbres induite par la défaillance hydraulique. Deuxièmement, j'ai appliqué ORCHIDEE-CAN-NHA sur la forêt tropicale intacte de l'Amazonie. Le modèle a reproduit la sensibilité à la sécheresse de la croissance et de la mortalité de la biomasse aérienne (AGB) observée sur des réseaux de placettes d'inventaire forestier dans les forêts intactes d'Amazonie pour les deux récentes méga-sécheresses de 2005 et 2010. Dans le modèle, même si le changement climatique, avec des sécheresses devenant plus sévères, a eu tendance à intensifier la mortalité des arbres, l'augmentation de la concentration de CO2 a contribué à atténuer la perte de carbone due à la mortalité en supprimant la transpiration. Enfin, j'ai utilisé le modèle ORCHIDEE-CAN-NHA afin de simuler le futur du stockage du carbone dans la biomasse en Amazonie. La plupart des modèles climatiques (ISIMIP-2) projettent néanmoins de manière cohérente une tendance plus sèche dans le nord-est de l'Amazonie. La simulation forcée par le modèle climatique HadGEM dans le scénario RCP8.5 montre un assèchement plus prononcé dans l'est et le nord-est de l'Amazonie, avec un point d'intersection où le puits de carbone se transforme en source de carbone dans le bouclier guyanais et le centre-est de l'Amazonie, au milieu du 21e siècle. Cette étude permet de prédire l'évolution future de la dynamique de la biomasse de la forêt amazonienne avec un modèle amélioré basé sur les processus, capable de reproduire la mortalité induite par le changement climatique. Dans les sections conclusion et perspectives, des développements futurs et des priorités de recherche sont proposés, qui amélioreraient la fiabilité et les performances du modèle basé sur les processus présentés dans cette thèse, permettant de mieux capturer les mécanismes qui contrôlent l'évolution de la dynamique de la biomasse forestière face à des risques de sécheresse plus fréquents. Note de contenu : 1. General Introduction
1.1 The state of Amazon rainforest
1.2 The starting point for this PhD project
1.3 The drivers and occurrence of tree mortality
1.4 Mechanisms related to tree mortality
1.5 The performance of process-based models in simulating plant hydraulics
1.6 Simulating tree mortality
1.7 The past drought effects on forest biomass dynamics
1.8 The effect of elevated CO2 during drought
1.9 The future forest biomass carbon dynamics in Amazonian rainforest
1.10 The aim and research questions of this PhD project
2. Spatial distribution of tropical soil heterotrophic respiration and the climatic driver on its inter-annual variability
3. Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA) and evaluation at
the Caxiuanã drought experiment
4. How drought events during the last Century have impacted biomass carbon in Amazonian rainforests
5. Future drought-induced tree mortality risk in Amazon rainforests
6. Conclusions and perspectivesNuméro de notice : 26947 Affiliation des auteurs : non IGN Thématique : FORET Nature : Thèse française Note de thèse : Thèse de doctorat : Surfaces continentales : Paris-Saclay : 2022 Organisme de stage : Laboratoire des Sciences du Climat et de l'Environnement LSCE nature-HAL : Thèse DOI : sans Date de publication en ligne : 14/11/2022 En ligne : https://theses.hal.science/tel-03850701/document Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102210 Road traffic crashes and emergency response optimization: a geo-spatial analysis using closest facility and location-allocation methods / Sulaiman Yunus in Geomatics, Natural Hazards and Risk, vol 13 (2022)
[article]
Titre : Road traffic crashes and emergency response optimization: a geo-spatial analysis using closest facility and location-allocation methods Type de document : Article/Communication Auteurs : Sulaiman Yunus, Auteur ; Ishaq A. Abdulkarim, Auteur Année de publication : 2022 Article en page(s) : pp 1535 - 1555 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] accident de la route
[Termes IGN] allocation
[Termes IGN] chemin le plus court, algorithme du
[Termes IGN] distribution spatiale
[Termes IGN] données localisées
[Termes IGN] équipement sanitaire
[Termes IGN] itinéraire
[Termes IGN] Nigéria
[Termes IGN] optimisation (mathématiques)
[Termes IGN] réseau routier
[Termes IGN] secours d'urgenceRésumé : (auteur) Increased occurrence of road traffic crashes in Kano metropolis has resulted in a steady loss of lives, injuries, and increased people's risk exposure. This study looked into the emergency response to road traffic crashes in Kano, with a view to improving efficiency by developing linkages and synergy between Emergency Healthcare Facilities (EHCF), ambulances, and crash hotspots. The geographical location and attributes of the major EHCF, crash hotspots along highway intersections, and the two existent ambulances at the Kano State Fire Service (KSFS) and Federal Road Safety Corp head offices (FRSC) were obtained using GPS surveying. Road traffic network data (vector format) was digitized from satellite image, from which two major road classes (highways and minor roads) were identified, as well as their respective speed limits. The length and speed constraints were used to calculate time distances. Nearest Neighbor and Network (closest facility, shortest route, and location-allocation) analyses were carried out. Location-allocation analysis was to determine based on defined criteria the best locations to allocate EHCF or ambulance for optimum coverage. The results demonstrated that EHCF, ambulances, and crash places have different distribution patterns with almost no linkages. Closest ambulance facility analysis revealed the FRSC ambulance takes 9.41 minutes to arrive to crash spot 18 (Maiduguri Road, following NNPC) and 7.52 minutes to arrive at AKTH, the nearest EHCF. Comparatively, getting to Court road incident scene (spot 16) and IRPH as the closest EHCF takes about 3 times the time it takes to get to spot 18 and 4 times the time it takes to get to AKTH. This means that practically almost all victims in the city suffocate before reaching to the hospital. This signifies that, in cases of demand for CPR at the incident scene, there are higher likelihood of dying as it is expected to be provided within the first four minutes after the crash. Based on a maximum of 4 minutes impedance cutoff from all directions towards the occurrences areas, location-allocation analysis found eight new locations to maximize coverage and improve efficiency. It is concluded that current road traffic crash emergency response system has been determined to be ineffective. As a result, more ambulances should be strategically placed to improve emergency response times. Numéro de notice : A2022-884 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/19475705.2022.2086829 Date de publication en ligne : 16/06/2022 En ligne : https://doi.org/10.1080/19475705.2022.2086829 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102209
in Geomatics, Natural Hazards and Risk > vol 13 (2022) . - pp 1535 - 1555[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)
[article]
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 TchèqueRésumé : (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
in Geomatics, Natural Hazards and Risk > vol 13 (2022) . - pp 610 - 620[article]
Titre : Télédétection et modélisation spatiale : Applications à la surveillance et au contrôle des maladies liées aux moustiques Type de document : Monographie Auteurs : Annelise Tran, Éditeur scientifique ; Eric Daudé, Éditeur scientifique ; Thibault Catry, Éditeur scientifique Editeur : Versailles : Quae Année de publication : 2022 Importance : 148 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-2-7592-3629-9 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse multicritère
[Termes IGN] cartographie des risques
[Termes IGN] distribution spatiale
[Termes IGN] image Landsat-8
[Termes IGN] image Landsat-ETM+
[Termes IGN] image multibande
[Termes IGN] image Terra-MODIS
[Termes IGN] maladie parasitaire
[Termes IGN] maladie tropicale
[Termes IGN] modélisation spatiale
[Termes IGN] Normalized Difference Water Index
[Termes IGN] surveillance sanitaire
[Termes IGN] température de l'air
[Termes IGN] TRMMRésumé : (éditeur) Mosquitoes are vectors of many disease-causing agents, such as malaria, dengue, chikungunya and yellow fever. According to the World Health Organisation, they cause several hundred thousand deaths each year. They are also the cause of zoonoses, such as Rift Valley fever and West Nile fever. In this context, there is a great need for operational tools to guide surveillance and control actions, both in the South - tropical and subtropical areas are the most affected by mosquito-borne diseases - and in the North, where the establishment of new species such as the tiger mosquito increases the risk of disease emergence. Earth observation imagery is of great interest to meet these needs: the spatial distribution and temporal dynamics of mosquitoes are influenced by climatic (temperature, precipitation, humidity) and environmental (availability of water areas, vegetation) variables, indicators of which can be derived from satellite imagery. Many recent studies have developed innovative methods combining remote sensing and spatial modelling to predict the spatial and temporal dynamics of mosquito vectors and associated diseases. Beyond the feasibility study, some of these methods have led to tools and processing chains that are now operational and used by public health actors and vector control operators. This book, intended for students and researchers as well as public health actors, presents a summary of this research work and these tools. Note de contenu : Introduction générale
Partie I- Informations spatiales pour la surveillance des moustiques vecteurs et des maladies associées
1- Liens entre moustiques vecteurs et environnement : apport des méthodes de télédétection satellite
2- Indices spectraux et classifications d’images multispectrales pour la cartographie du risque vectoriel
3- Estimation des températures de l’air à partir d’images satellite et de stations météorologiques
4- Du recensement au bâtiment : génération de populations synthétiques
5- Texture des images satellite et caractérisation des milieux urbains favorables aux moustiques vecteurs
Partie II- Analyser et prédire l’effet de variables environnementales sur la distribution et la dynamique des moustiques vecteurs
6- Modèles basés sur les données : cartographier la distribution spatiale des vecteurs
7- Modèles fondés sur les connaissances : exemple d’un outil d’évaluation multicritère pour la santé publique
8- Arbocarto : un modèle mécaniste fondé sur le cycle de vie des moustiques Aedes
9- Simulation spatiale du risque de propagation de la dengue à partir de modèles comportementaux vecteurs et hôtes
Conclusion générale et perspectivesNuméro de notice : 24096 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Recueil / ouvrage collectif DOI : 10.35690/978-2-7592-3629-9 En ligne : https://doi.org/10.35690/978-2-7592-3629-9 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102570 GIS-based study on the environmental sensitivity to pollution and susceptibility to eutrophication in Burullus Lake, Egypt / Muhammad A. El-Alfy in Marine geodesy, vol 44 n° 6 (November 2021)
[article]
Titre : GIS-based study on the environmental sensitivity to pollution and susceptibility to eutrophication in Burullus Lake, Egypt Type de document : Article/Communication Auteurs : Muhammad A. El-Alfy, Auteur ; Dina H. Darwish, Auteur ; Afifi I. Basiony, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 554 - 572 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de sensibilité
[Termes IGN] ArcGIS
[Termes IGN] distribution spatiale
[Termes IGN] Egypte
[Termes IGN] eutrophisation
[Termes IGN] pollution des eaux
[Termes IGN] régression logistique
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du sol
[Termes IGN] variation saisonnièreRésumé : (auteur) Sensitivity to pollution in Burullus Lake was estimated based on the proximity analysis. The category of sensitivity was based on six factors including: agricultural areas, industrial areas, drains, Elboughaz, urban areas and fish farms. A statistical model was developed to estimate trophic state index (TSI) based on laboratory measurements of water samples at two different periods of time (Mach 2020 and June 2020) (R2 = 0.96 and 0.94, respectively). The important factors that were considered at the first period were chlorophyll, phosphate PO4 and oxidizable organic matter OOM. In the second period, the considered factors were ammonia NH4, silicates SiO4, and dissolved oxygen (DO). The category of TSI varied from oligotrophic to hyper-eutrophic conditions in March 2020, whereas it varied from eutrophic to hyper-eutrophic in June 2020. The eutrophication condition was higher in June than in March. This may be attributed to the huge amount of wastewaters, their contaminant load and season. The compatibility between sensitivity model and the obtained results in March 2020 was about 54.5%, whereas it was about 27.3% in June 2020. This reveals that the lake is highly sensitive to pollution and therefore it needs to be monitored regularly. Numéro de notice : A2021-818 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/01490419.2021.1954111 Date de publication en ligne : 27/07/2021 En ligne : https://doi.org/10.1080/01490419.2021.1954111 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98908
in Marine geodesy > vol 44 n° 6 (November 2021) . - pp 554 - 572[article]Identifying surface urban heat island drivers and their spatial heterogeneity in China’s 281 cities: An empirical study based on multiscale geographically weighted regression / Lu Niu in Remote sensing, vol 13 n° 21 (November-1 2021)PermalinkA novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery / Lan Xun in ISPRS Journal of photogrammetry and remote sensing, Vol 181 (November 2021)PermalinkA topic model based framework for identifying the distribution of demand for relief supplies using social media data / Ting Zhang in International journal of geographical information science IJGIS, vol 35 n° 11 (November 2021)PermalinkSpatial biodiversity modeling using high-performance computing cluster: A case study to access biological richness in Indian landscape / Hariom Singh in Geocarto international, vol 36 n° 18 ([01/10/2021])PermalinkConiferous and broad-leaved forest distinguishing using L-band polarimetric SAR data / Fang Shang in IEEE Transactions on geoscience and remote sensing, Vol 59 n° 9 (September 2021)PermalinkUnsupervised band selection of hyperspectral data based on mutual information derived from weighted cluster entropy for snow classification / Divyesh Varade in Geocarto international, vol 36 n° 15 ([15/08/2021])PermalinkRemote sensing method for extracting topographic information on tidal flats using spatial distribution features / Yang Lijun in Marine geodesy, vol 44 n° 5 (September 2021)PermalinkMapping sandy land using the new sand differential emissivity index from thermal infrared emissivity data / Shanshan Chen in IEEE Transactions on geoscience and remote sensing, Vol 59 n° 7 (July 2021)PermalinkRole of maximum entropy and citizen science to study habitat suitability of jacobin cuckoo in different climate change scenarios / Priyinka Singh in ISPRS International journal of geo-information, vol 10 n° 7 (July 2021)PermalinkSimulating multi-exit evacuation using deep reinforcement learning / Dong Xu in Transactions in GIS, Vol 25 n° 3 (June 2021)PermalinkA deep learning model using satellite ocean color and hydrodynamic model to estimate chlorophyll-a concentration / Daeyong Jin in Remote sensing, vol 13 n°10 (May-2 2021)PermalinkEvaluation of light pollution in global protected areas from 1992 to 2018 / Haowei Mu in Remote sensing, vol 13 n° 9 (May-1 2021)PermalinkIdentifying urban neighborhoods with higher potential for social investment using GIS-FIS approach / Hossein Aghajani in Applied geomatics, vol 13 n° 1 (May 2021)PermalinkAn analysis of the spatial and temporal distribution of large‐scale data production events in OpenStreetMap / A. Yair Grinberger in Transactions in GIS, Vol 25 n° 2 (April 2021)PermalinkTime-series snowmelt detection over the Antarctic using Sentinel-1 SAR images on Google Earth Engine / Dong Liang in Remote sensing of environment, Vol 256 (April 2020)PermalinkComparison of two parameter recovery methods for the transformation of Pinus sylvestris yield tables into a diameter distribution model / Francisco Mauro in Annals of Forest Science, vol 78 n° 1 (March 2021)PermalinkGIS-based spatial landslide distribution analysis of district Neelum, AJ&K, Pakistan / Shah Naseer in Natural Hazards, vol 106 n° 1 (March 2021)PermalinkSuitability assessment of urban land use in Dalian, China using PNN and GIS / Ziqian Kang in Natural Hazards, vol 106 n° 1 (March 2021)PermalinkWhat factors shape spatial distribution of biomass in riparian forests? Insights from a LiDAR survey over a large area / Leo Huylenbroeck in Forests, vol 12 n° 3 (March 2021)PermalinkEmotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model / Yizhuo Li in International journal of geographical information science IJGIS, vol 35 n° 2 (February 2021)PermalinkGeographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling / Stefanos Georganos in Geocarto international, vol 36 n° 2 ([01/02/2021])PermalinkA density-based algorithm for the detection of individual trees from LiDAR data / Melissa Latella in Remote sensing, Vol 13 n° 2 (January-2 2021)PermalinkChinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data / Yunhao Zheng in Computers, Environment and Urban Systems, vol 85 (January 2021)PermalinkLANet: Local attention embedding to improve the semantic segmentation of remote sensing images / Lei Ding in IEEE Transactions on geoscience and remote sensing, vol 59 n° 1 (January 2021)PermalinkPermalinkSpatial characterization and distribution modelling of Ensete ventricosum (wild and cultivated) in Ethiopia / Meron Awoke Eshetae in Geocarto international, vol 36 n° 1 ([01/01/2021])PermalinkThe use of deep machine learning for the automated selection of remote sensing data for the determination of areas of arable land degradation processes distribution / Dimitri I. Rukhovitch in Remote sensing, vol 13 n° 1 (January-1 2021)PermalinkUsing remote sensing and modeling to monitor and understand harmful algal blooms. Application to Karaoun Reservoir (Lebanon) / Najwa Sharaf (2021)PermalinkBioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates / Robert E. Keane in Forest ecology and management, vol 477 ([01/12/2020])PermalinkEvaluating geo-tagged Twitter data to analyze tourist flows in Styria, Austria / Johannes Scholz in ISPRS International journal of geo-information, vol 9 n° 11 (November 2020)PermalinkMapping tree species deciduousness of tropical dry forests combining reflectance, spectral unmixing, and texture data from high-resolution imagery / Astrid Helena Huechacona-Ruiz in Forests, vol 11 n°11 (November 2020)PermalinkUsing climate-sensitive 3D city modeling to analyze outdoor thermal comfort in urban areas / Rabeeh Hosseinihaghighi in ISPRS International journal of geo-information, vol 9 n° 11 (November 2020)PermalinkEvaluating the impact of declining tsetse fly (Glossina pallidipes) habitat in the Zambezi valley of Zimbabwe / Farai Matawa in Geocarto international, vol 35 n° 12 ([01/09/2020])PermalinkGeovisualization and harmonic analysis for the exploratory search of localized cyclic recurrences in spatio-temporal event data / Jacques Gautier in Geomatica, vol 74 n° 3 (September 2020)PermalinkHow do species and data characteristics affect species distribution models and when to use environmental filtering? / Lukáš Gábor in International journal of geographical information science IJGIS, vol 34 n° 8 (August 2020)PermalinkLos Angeles as a digital place: The geographies of user‐generated content / Andrea Ballatore in Transactions in GIS, Vol 24 n° 4 (August 2020)PermalinkTourism land use simulation for regional tourism planning using POIs and cellular automata / Hong Shi in Transactions in GIS, Vol 24 n° 4 (August 2020)PermalinkFine-scale dasymetric population mapping with mobile phone and building use data based on grid Voronoi method / Zhenzhong Peng in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)PermalinkModelling housing rents using spatial autoregressive geographically weighted regression: a case study in cracow, Poland / Mateusz Tomal in ISPRS International journal of geo-information, vol 9 n° 6 (June 2020)PermalinkUsing GIS for disease mapping and clustering in Jeddah, Saudi Arabia / Abdulkader Murad in ISPRS International journal of geo-information, vol 9 n° 5 (May 2020)PermalinkAnalysing performance of SLEUTH model calibration using brute force and genetic algorithm–based methods / Ankita Saxena in Geocarto international, vol 35 n° 3 ([01/03/2020])PermalinkSpecies richness influences the spatial distribution of trees in European forests / Cristina Bastias in Oikos, vol 129 n° 3 (March 2020)PermalinkSpectral–spatial–temporal MAP-based sub-pixel mapping for land-cover change detection / Da He in IEEE Transactions on geoscience and remote sensing, vol 58 n° 3 (March 2020)PermalinkThe application of bidirectional reflectance distribution function data to recognize the spatial heterogeneity of mixed pixels in vegetation remote sensing: a simulation study / Yanan Yan in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 3 (March 2020)PermalinkUber movement data: a proxy for average one-way commuting times by car / Yeran Sun in ISPRS International journal of geo-information, vol 9 n° 3 (March 2020)Permalink