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Refinado por: assunto: Environmental Sciences remover assunto: Imaging Science & Photographic Technology remover
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1
Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry
Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry
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Measuring Urban Subsidence in the Rome Metropolitan Area (Italy) with Sentinel-1 SNAP-StaMPS Persistent Scatterer Interferometry

Delgado Blasco, José ; Foumelis, Michael ; Stewart, Chris ; Hooper, Andrew

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.129 [Periódico revisado por pares]

Basel: MDPI AG

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2
Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity
Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity
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Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity

Kääb, Andreas ; Winsvold, Solveig ; Altena, Bas ; Nuth, Christopher ; Nagler, Thomas ; Wuite, Jan

Remote sensing (Basel, Switzerland), 2016-07, Vol.8 (7), p.598 [Periódico revisado por pares]

MDPI AG

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3
Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8
Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8
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Glacier Remote Sensing Using Sentinel-2. Part II: Mapping Glacier Extents and Surface Facies, and Comparison to Landsat 8

Paul, Frank ; Winsvold, Solveig H ; Kaeaeb, Andreas ; Nagler, Thomas ; Schwaizer, Gabriele

Remote sensing (Basel, Switzerland), 2016-07, Vol.8 (7), p.575-575 [Periódico revisado por pares]

Basel: MDPI AG

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4
Coupling the Relationship between Land Subsidence and Groundwater Level, Ground Fissures in Xi’an City Using Multi-Orbit and Multi-Temporal InSAR
Coupling the Relationship between Land Subsidence and Groundwater Level, Ground Fissures in Xi’an City Using Multi-Orbit and Multi-Temporal InSAR
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Coupling the Relationship between Land Subsidence and Groundwater Level, Ground Fissures in Xi’an City Using Multi-Orbit and Multi-Temporal InSAR

Zhang, Xing ; Cheng, Zhengfeng ; Xu, Bei ; Gui, Rong ; Hu, Jun ; Yang, Changjiang ; Yang, Qiuhong ; Xiong, Tao

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (14), p.3567 [Periódico revisado por pares]

Basel: MDPI AG

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5
Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin–Tungsten Deposits: Simulation under Indoor Conditions
Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin–Tungsten Deposits: Simulation under Indoor Conditions
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Machine Learning for Mineral Identification and Ore Estimation from Hyperspectral Imagery in Tin–Tungsten Deposits: Simulation under Indoor Conditions

Lobo, Agustin ; Garcia, Emma ; Barroso, Gisela ; Martí, David ; Fernandez-Turiel, Jose-Luis ; Ibáñez-Insa, Jordi

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (16), p.3258 [Periódico revisado por pares]

Basel: MDPI AG

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6
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
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Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Ghorbanzadeh, Omid ; Blaschke, Thomas ; Gholamnia, Khalil ; Meena, Sansar ; Tiede, Dirk ; Aryal, Jagannath

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196 [Periódico revisado por pares]

Basel: MDPI AG

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7
Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique
Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique
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Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique

Yang, Qin ; Ke, Yinghai ; Zhang, Dongyi ; Chen, Beibei ; Gong, Huili ; Lv, Mingyuan ; Zhu, Lin ; Li, Xiaojuan

Remote sensing (Basel, Switzerland), 2018-07, Vol.10 (7), p.1006 [Periódico revisado por pares]

MDPI AG

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8
Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks
Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks
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Estimating impervious surfaces from medium spatial resolution imagery using the self-organizing map and multi-layer perceptron neural networks

Hu, Xuefei ; Weng, Qihao

Remote sensing of environment, 2009-10, Vol.113 (10), p.2089-2102 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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9
Comparison of Different Algorithms to Map Hydrothermal Alteration Zones Using ASTER Remote Sensing Data for Polymetallic Vein-Type Ore Exploration: Toroud–Chahshirin Magmatic Belt (TCMB), North Iran
Comparison of Different Algorithms to Map Hydrothermal Alteration Zones Using ASTER Remote Sensing Data for Polymetallic Vein-Type Ore Exploration: Toroud–Chahshirin Magmatic Belt (TCMB), North Iran
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Comparison of Different Algorithms to Map Hydrothermal Alteration Zones Using ASTER Remote Sensing Data for Polymetallic Vein-Type Ore Exploration: Toroud–Chahshirin Magmatic Belt (TCMB), North Iran

Noori, Lida ; Pour, Amin ; Askari, Ghasem ; Taghipour, Nader ; Pradhan, Biswajeet ; Lee, Chang-Wook ; Honarmand, Mehdi

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.495 [Periódico revisado por pares]

Basel: MDPI AG

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10
An Enhanced Contextual Fire Detection Algorithm for MODIS
An Enhanced Contextual Fire Detection Algorithm for MODIS
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An Enhanced Contextual Fire Detection Algorithm for MODIS

Giglio, Louis ; Descloitres, Jacques ; Justice, Christopher O. ; Kaufman, Yoram J.

Remote sensing of environment, 2003-10, Vol.87 (2), p.273-282 [Periódico revisado por pares]

New York, NY: Elsevier Inc

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