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Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM / Nitika Dangwal in Geocarto international, vol 31 n° 5 - 6 (May - June 2016)
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Titre : Monitoring of water stress in wheat using multispectral indices derived from Landsat-TM Type de document : Article/Communication Auteurs : Nitika Dangwal, Auteur ; N.R. Patel, Auteur ; Mamta Kumari, Auteur ; S.K. Saha, Auteur Année de publication : 2016 Article en page(s) : pp 682 - 693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] image Landsat-TM
[Termes IGN] indice d'humidité
[Termes IGN] indice de stress
[Termes IGN] irrigation
[Termes IGN] surveillance agricole
[Termes IGN] teneur en eau de la végétationRésumé : (Auteur) Detection of crop water stress is crucial for efficient irrigation water management. Potential of Satellite data to provide spatial and temporal dynamics of crop growth conditions makes it possible to monitor crop water stress at regional level. This study was conducted in parts of western Uttar Pradesh and Haryana. Multi-temporal Landsat data were used for detecting wheat crop water stress using vegetation indices (VIs), viz. vegetation water stress index (VWSI) and land surface wetness index water stress factor (Ws_LSWI). The estimated water stress from satellite data-based VIs was validated by water stress factor (Ws) derived from flux-tower data. The study observed Ws_LSWI to be better index for water stress detection. The results indicated that Ws_LSWI was superior over other index showing RMSE = 0.12, R2 = 0.65, whereas VWSI showed overestimated values with mean RD 4%. Numéro de notice : A2016-174 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1073369 Date de publication en ligne : 01/09/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1073369 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80518
in Geocarto international > vol 31 n° 5 - 6 (May - June 2016) . - pp 682 - 693[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2016031 RAB Revue Centre de documentation En réserve L003 Disponible Pipeline intergrity management from space : transmision pipeline monitoring using Copernicus / Jan Ridder in GIM international, vol 30 n° 5 (May 2016)
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Titre : Pipeline intergrity management from space : transmision pipeline monitoring using Copernicus Type de document : Article/Communication Auteurs : Jan Ridder, Auteur Année de publication : 2016 Article en page(s) : pp 25 - 27 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] canalisation
[Termes IGN] image radar moirée
[Termes IGN] image Sentinel-SAR
[Termes IGN] surveillanceRésumé : (éditeur) Pipeline operators are responsible for the safe transport of oil and gas through high-pressure transmission pipelines. In the Western world, these transmission pipelines are buried in the public space at a depth of about 1.5 metres. Operators are concerned with monitoring the integrity of their pipelines on a regular or even continuous basis, as pipeline failures can cause severe damage to people, infrastructure and the natural and built environment. This article discusses the use of Copernicus Sentinel-1 satellite radar imagery to provide pipeline operators with a continuous source of information for monitoring and managing their assets from space. Numéro de notice : A2016-211 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80674
in GIM international > vol 30 n° 5 (May 2016) . - pp 25 - 27[article]Remote sensing technologies for enhancing forest inventories: A review / Joanne C. White in Canadian journal of remote sensing, vol 42 n° 5 ([01/05/2016])
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Titre : Remote sensing technologies for enhancing forest inventories: A review Type de document : Article/Communication Auteurs : Joanne C. White, Auteur ; Nicholas C. Coops, Auteur ; Michael A. Wulder, Auteur ; Mikko Vastaranta, Auteur ; Thomas Hilker, Auteur ; Piotr Tompalski, Auteur Année de publication : 2016 Article en page(s) : pp 619 - 641 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] image optique
[Termes IGN] image satellite
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] photogrammétrie numérique
[Termes IGN] télémétrie laser aéroporté
[Termes IGN] télémétrie laser terrestre
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Forest inventory and management requirements are changing rapidly in the context of an increasingly complex set of economic, environmental, and social policy objectives. Advanced remote sensing technologies provide data to assist in addressing these escalating information needs and to support the subsequent development and parameterization of models for an even broader range of information needs. This special issue contains papers that use a variety of remote sensing technologies to derive forest inventory or inventory-related information. Herein, we review the potential of 4 advanced remote sensing technologies, which we posit as having the greatest potential to influence forest inventories designed to characterize forest resource information for strategic, tactical, and operational planning: airborne laser scanning (ALS), terrestrial laser scanning (TLS), digital aerial photogrammetry (DAP), and high spatial resolution (HSR)/very high spatial resolution (VHSR) satellite optical imagery. ALS, in particular, has proven to be a transformative technology, offering forest inventories the required spatial detail and accuracy across large areas and a diverse range of forest types. The coupling of DAP with ALS technologies will likely have the greatest impact on forest inventory practices in the next decade, providing capacity for a broader suite of attributes, as well as for monitoring growth over time. Numéro de notice : A2016--127 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1080/07038992.2016.1207484 En ligne : http://dx.doi.org/10.1080/07038992.2016.1207484 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85113
in Canadian journal of remote sensing > vol 42 n° 5 [01/05/2016] . - pp 619 - 641[article]vol 115 - May 2016 - State-of-the-art in photogrammetry, remote sensing and spatial information science (Bulletin de ISPRS Journal of photogrammetry and remote sensing) / Christian Heipke
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[n° ou bulletin]
est un bulletin de ISPRS Journal of photogrammetry and remote sensing / International society for photogrammetry and remote sensing (1980 -) (1990 -)
Titre : vol 115 - May 2016 - State-of-the-art in photogrammetry, remote sensing and spatial information science Type de document : Périodique Auteurs : Christian Heipke, Éditeur scientifique ; Marguerite Madden, Éditeur scientifique ; Zhilin Li, Éditeur scientifique ; Ian J. Dowman, Éditeur scientifique Année de publication : 2016 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale
[Termes IGN] image spatiale
[Termes IGN] photogrammétrie numérique
[Termes IGN] télédétectionNuméro de notice : 081-201605 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : http://www.sciencedirect.com/science/journal/09242716/115 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27168 [n° ou bulletin] Contient
- Information from imagery: ISPRS scientific vision and research agenda / Jun Chen in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Remote sensing platforms and sensors: A survey / Charles K. Toth in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Sensor modelling and camera calibration for close-range photogrammetry / Thomas Luhmann in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Recent developments in large-scale tie-point matching / Wilfried Hartmann in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Terrestrial laser scanning in forest inventories / Xinlian Liang in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Persistent Scatterer Interferometry: A review / Michele Crosetto in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Geospatial big data handling theory and methods: A review and research challenges / Songnian Li in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
- Rethinking big data: A review on the data quality and usage issues / Jianzheng Liu in ISPRS Journal of photogrammetry and remote sensing, vol 115 (May 2016)
Supporting polio eradication with Pléiades satellite imagery : reaching every household in Nigeria / Frédérique Coumans in GIM international, vol 30 n° 5 (May 2016)
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Titre : Supporting polio eradication with Pléiades satellite imagery : reaching every household in Nigeria Type de document : Article/Communication Auteurs : Frédérique Coumans, Auteur Année de publication : 2016 Article en page(s) : pp 17 - 19 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse d'image orientée objet
[Termes IGN] eCognition
[Termes IGN] hameau
[Termes IGN] image Pléiades
[Termes IGN] maladie infectieuse
[Termes IGN] Nigéria
[Termes IGN] positionnement par GPSRésumé : (documentaliste) A partir de images Pléiades traitées pour en extraire tous les hameaux, et grâce aux smartphones équipés de récepteurs GPS, les infirmiers ont fait au Nigeria, la campagne de vaccination contre la poliomyélite, en pouvant se situer en temps réel. Numéro de notice : A2016-200 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80642
in GIM international > vol 30 n° 5 (May 2016) . - pp 17 - 19[article] PermalinkCombined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery / Taoyang Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)
PermalinkEstimating forest and woodland aboveground biomass using active and passive remote sensing / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)
PermalinkForest above ground biomass inversion by fusing GLAS with optical remote sensing data / Xiaohuan Xi in ISPRS International journal of geo-information, vol 5 n° 4 (April 2016)
PermalinkInterferometric processing of Sentinel-1 TOPS Data / Néstor Yagüe-Martínez in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)
PermalinkA meta-analysis and review of the literature on the k-Nearest Neighbors technique for forestry applications that use remotely sensed data / Gherardo Chirici in Remote sensing of environment, vol 176 (April 2016)
PermalinkAutomatic detection and reconstruction of 2-D/3-D building shapes from spaceborne TomoSAR point clouds / Muhammad Shahzad in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
PermalinkComparative analysis on utilisation of linear spectral unmixing and band ratio methods for processing ASTER data to delineate bauxite over a part of Chotonagpur plateau, Jharkhand, India / Arindam Guha in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)
PermalinkComparison of three Landsat TM compositing methods: A case study using modeled tree canopy cover / Bonnie Ruefenacht in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 3 (March 2016)
PermalinkData fusion technique using wavelet transform and Taguchi methods for automatic landslide detection from airborne laser scanning data and QuickBird satellite imagery / Biswajeet Pradhan in IEEE Transactions on geoscience and remote sensing, vol 54 n° 3 (March 2016)
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