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Laser scanning for the environmental sciences

1, 2009

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Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

IEEE transactions on geoscience and remote sensing, 2019-01, Vol.57 (1), p.574-586

2019

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IEEE_Xplore

Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval

IEEE transactions on geoscience and remote sensing, 2018-11, Vol.56 (11), p.6521-6536

2018

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IEEE_Xplore

Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

Remote sensing of environment, 2019-11, Vol.233, p.111383, Article 111383

2019

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Application of remote sensors in mapping rice area and forecasting its production: a review

Sensors (Basel, Switzerland), 2015-01, Vol.15 (1), p.769-791

2015

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Object detection in optical remote sensing images: A survey and a new benchmark

ISPRS journal of photogrammetry and remote sensing, 2020-01, Vol.159, p.296-307

2020

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Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

IEEE geoscience and remote sensing letters, 2017-05, Vol.14 (5), p.778-782

2017

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IEEE_Xplore

Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity

Remote sensing of environment, 2019-04, Vol.224, p.104-118

2019

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Sea ice extents continue to set new records: Arctic, Antarctic, and global results

Remote sensing of environment, 2021-12, Vol.267 (15), p.112753, Article 112753

2021

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Structure from Motion Photogrammetry in Forestry: a Review

Current forestry reports, 2019-09, Vol.5 (3), p.155-168

2019

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Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

IEEE transactions on geoscience and remote sensing, 2016-12, Vol.54 (12), p.7405-7415

2016

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IEEE_Xplore

The optical trapezoid model: A novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations

Remote sensing of environment, 2017-09, Vol.198, p.52-68

2017

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Performance of vegetation indices from Landsat time series in deforestation monitoring

ITC journal, 2016-10, Vol.52, p.318-327

2016

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Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

IEEE transactions on geoscience and remote sensing, 2017-02, Vol.55 (2), p.645-657

2017

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IEEE_Xplore

3-D Deep Learning Approach for Remote Sensing Image Classification

IEEE transactions on geoscience and remote sensing, 2018-08, Vol.56 (8), p.4420-4434

2018

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IEEE_Xplore

A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques

Sensors (Basel, Switzerland), 2016-08, Vol.16 (8), p.1298

2016

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When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

IEEE transactions on geoscience and remote sensing, 2018-05, Vol.56 (5), p.2811-2821

2018

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IEEE_Xplore

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

Remote sensing of environment, 2021-04, Vol.256, p.112313, Article 112313

2021

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Patterns and drivers of recent disturbances across the temperate forest biome

Nature communications, 2018-10, Vol.9 (1), p.4355-9, Article 4355

2018

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Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

ISPRS journal of photogrammetry and remote sensing, 2017-04, Vol.126, p.225-244

2017

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Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

Remote sensing of environment, 2019-10, Vol.232, p.111291, Article 111291

2019

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Use of unmanned aerial vehicles for efficient beach litter monitoring

Marine pollution bulletin, 2018-06, Vol.131 (Pt A), p.662-673

2018

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DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.1194-1206

2021

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Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series

Remote sensing of environment, 2015-11, Vol.169, p.320-334

2015

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Assessing change in national forest monitoring capacities of 99 tropical countries

Forest ecology and management, 2015-09, Vol.352, p.109-123

2015

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Laser scanning for the environmental sciences

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval

Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

Application of remote sensors in mapping rice area and forecasting its production: a review

Object detection in optical remote sensing images: A survey and a new benchmark

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity

Sea ice extents continue to set new records: Arctic, Antarctic, and global results

Structure from Motion Photogrammetry in Forestry: a Review

Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images

The optical trapezoid model: A novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations

Performance of vegetation indices from Landsat time series in deforestation monitoring

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

3-D Deep Learning Approach for Remote Sensing Image Classification

A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future

Patterns and drivers of recent disturbances across the temperate forest biome

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

Use of unmanned aerial vehicles for efficient beach litter monitoring

DASNet: Dual Attentive Fully Convolutional Siamese Networks for Change Detection in High-Resolution Satellite Images

Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series

Assessing change in national forest monitoring capacities of 99 tropical countries

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