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Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data

Remote sensing (Basel, Switzerland), 2019-08, Vol.11 (17), p.1976

2019

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Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

Remote sensing (Basel, Switzerland), 2018-09, Vol.10 (9), p.1419

2018

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Identifying Plausible Labels from Noisy Training Data for a Land Use and Land Cover Classification Application in Amazônia Legal

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (12), p.2080

2024

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DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin

Remote sensing (Basel, Switzerland), 2022-10, Vol.14 (19), p.5000

2022

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Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest

Remote sensing (Basel, Switzerland), 2024-01, Vol.16 (3), p.561

2024

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A Hierarchical Deep-Learning Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data

Remote sensing (Basel, Switzerland), 2020-07, Vol.12 (13), p.2121

2020

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Time Series Analysis of Multisensor Data for Precision Viticulture—Assessing Microscale Variations in Plant Development with Respect to Irrigation and Topography

Remote sensing (Basel, Switzerland), 2024-04, Vol.16 (8), p.1419

2024

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Remote Sensing Exploration of Nb-Ta-LREE-Enriched Carbonatite (Epembe/Namibia)

Remote sensing (Basel, Switzerland), 2016-08, Vol.8 (8), p.620-620

2016

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A Deep Learning Approach for Calamity Assessment Using Sentinel-2 Data

Forests, 2020-12, Vol.11 (12), p.1239

2020

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Compositional variations of ignimbrite magmas in the Central Andes over the past 26 Ma — A multivariate statistical perspective

Lithos, 2016-10, Vol.262, p.713-728

2016

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The origin and crust/mantle mass balance of Central Andean ignimbrite magmatism constrained by oxygen and strontium isotopes and erupted volumes

Contributions to mineralogy and petrology, 2015-06, Vol.169 (6), p.461, Article 58

2015

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Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net

Journal of photogrammetry, remote sensing and geoinformation science, 2022-04, Vol.90 (2), p.103-121

2022

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Boosting for Mineral Prospectivity Modeling: A New GIS Toolbox

Natural resources research (New York, N.Y.), 2020-02, Vol.29 (1), p.71-88

2020

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Remote sensing of Carhuarazo volcanic complex using ASTER imagery in Southern Peru to detect alteration zones and volcanic structures - a combined approach of image processing in ENVI and ArcGIS/ArcScene

Geocarto international, 2010-12, Vol.25 (8), p.629-648

Brandmeier, Melanie

2010

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Automated recognition of quasi-planar ignimbrite sheets as paleosurfaces via robust segmentation of digital elevation models: an example from the Central Andes

Earth surface processes and landforms, 2014-08, Vol.39 (10), p.1386-1399

2014

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A remote sensing and geospatial statistical approach to understanding distribution and evolution of ignimbrites in the central andes with a focus on southern peru

Brandmeier, Melanie

2014

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Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

Identifying Plausible Labels from Noisy Training Data for a Land Use and Land Cover Classification Application in Amazônia Legal

DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin

Evaluating Different Deep Learning Approaches for Tree Health Classification Using High-Resolution Multispectral UAV Data in the Black Forest, Harz Region, and Göttinger Forest

A Hierarchical Deep-Learning Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data

Time Series Analysis of Multisensor Data for Precision Viticulture—Assessing Microscale Variations in Plant Development with Respect to Irrigation and Topography

Remote Sensing Exploration of Nb-Ta-LREE-Enriched Carbonatite (Epembe/Namibia)

A Deep Learning Approach for Calamity Assessment Using Sentinel-2 Data

Compositional variations of ignimbrite magmas in the Central Andes over the past 26 Ma — A multivariate statistical perspective

The origin and crust/mantle mass balance of Central Andean ignimbrite magmatism constrained by oxygen and strontium isotopes and erupted volumes

Classification of Tree Species and Standing Dead Trees with Lidar Point Clouds Using Two Deep Neural Networks: PointCNN and 3DmFV-Net

Boosting for Mineral Prospectivity Modeling: A New GIS Toolbox

Remote sensing of Carhuarazo volcanic complex using ASTER imagery in Southern Peru to detect alteration zones and volcanic structures - a combined approach of image processing in ENVI and ArcGIS/ArcScene

Automated recognition of quasi-planar ignimbrite sheets as paleosurfaces via robust segmentation of digital elevation models: an example from the Central Andes

A remote sensing and geospatial statistical approach to understanding distribution and evolution of ignimbrites in the central andes with a focus on southern peru

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