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National forest cover change in Congo Basin: deforestation, reforestation, degradation and regeneration for the years 1990, 2000 and 2005

Global change biology, 2013-04, Vol.19 (4), p.1173-1187

2013

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The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests

Remote sensing (Basel, Switzerland), 2016-12, Vol.8 (12), p.986-986

2016

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Mapping Canopy Cover in African Dry Forests from the Combined Use of Sentinel-1 and Sentinel-2 Data: Application to Tanzania for the Year 2018

Remote sensing (Basel, Switzerland), 2022-03, Vol.14 (6), p.1522

2022

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Spatial patterns of logging-related disturbance events: a multi-scale analysis on forest management units located in the Brazilian Amazon

Landscape ecology, 2020-09, Vol.35 (9), p.2083-2100

2020

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Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia

International journal of applied earth observation and geoinformation, 2023-12, Vol.125, p.103524, Article 103524

2023

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Towards Operational Monitoring of Forest Canopy Disturbance in Evergreen Rain Forests: A Test Case in Continental Southeast Asia

Remote sensing (Basel, Switzerland), 2018-04, Vol.10 (4), p.544

2018

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A labelled dataset to classify direct deforestation drivers from Earth Observation imagery in Cameroon

Scientific data, 2024-05, Vol.11 (1), p.564-8, Article 564

2024

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Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2

Remote sensing of environment, 2021-02, Vol.253, p.112232-112232, Article 112232

2021

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From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

Remote sensing of environment, 2021-12, Vol.266, p.112708, Article 112708

2021

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A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations

International journal of remote sensing, 2014-04, Vol.35 (7), p.2440-2471

2014

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Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model

Environmental modelling & software : with environment data news, 2024-01, Vol.172, p.105931, Article 105931

2024

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Pl@ntNet Crops: merging citizen science observations and structured survey data to improve crop recognition for agri-food-environment applications

Environmental research letters, 2023-02, Vol.18 (2), p.25005

2023

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A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations: SPOT-VEGETATION - 15 Years of Success: What's Next?

International journal of remote sensing, 2014, Vol.35 (7), p.2440-2471

2014

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LUCAS Copernicus 2018: Earth-observation-relevant in situ data on land cover and use throughout the European Union

Earth system science data, 2021-03, Vol.13 (3), p.1119-1133

2021

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Accuracy Assessment of the First Eu-Wide Crop Type Map with Lucas Data

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, p.1990-1993

2021

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IEEE_Xplore

Assessing forest degradation from selective logging using time series of fine spatial resolution imagery in Republic of Congo

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015, p.2044-2047

2015

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IEEE_Xplore

Projet ReCaREDD: atelier sur le suivi de la dégradation forestière par télédétection : Brazzaville, République du Congo 23-25 Mai 2016

2016

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Phenology of the natural vegetation: A land cover specific approach for a reference dataset in Central Africa

2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011, p.257-260

2011

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IEEE_Xplore

Statistics of TanDEM-X DSM, coherence and backscatter for the characterization of tropical forest structural configuration

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015, p.1805-1808

2015

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IEEE_Xplore

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National forest cover change in Congo Basin: deforestation, reforestation, degradation and regeneration for the years 1990, 2000 and 2005

The Potential of Sentinel Satellites for Burnt Area Mapping and Monitoring in the Congo Basin Forests

Mapping Canopy Cover in African Dry Forests from the Combined Use of Sentinel-1 and Sentinel-2 Data: Application to Tanzania for the Year 2018

Spatial patterns of logging-related disturbance events: a multi-scale analysis on forest management units located in the Brazilian Amazon

Automatic detection of charcoal kilns on Very High Resolution images with a computer vision approach in Somalia

Towards Operational Monitoring of Forest Canopy Disturbance in Evergreen Rain Forests: A Test Case in Continental Southeast Asia

A labelled dataset to classify direct deforestation drivers from Earth Observation imagery in Cameroon

Comparing land surface phenology of major European crops as derived from SAR and multispectral data of Sentinel-1 and -2

From parcel to continental scale – A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observations

A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations

Automatic classification of land cover from LUCAS in-situ landscape photos using semantic segmentation and a Random Forest model

Pl@ntNet Crops: merging citizen science observations and structured survey data to improve crop recognition for agri-food-environment applications

A global NDVI and EVI reference data set for land-surface phenology using 13 years of daily SPOT-VEGETATION observations: SPOT-VEGETATION - 15 Years of Success: What's Next?

LUCAS Copernicus 2018: Earth-observation-relevant in situ data on land cover and use throughout the European Union

Accuracy Assessment of the First Eu-Wide Crop Type Map with Lucas Data

Assessing forest degradation from selective logging using time series of fine spatial resolution imagery in Republic of Congo

Mapping global forest cover of the year 2020 to support the EU regulation on deforestation-free supply chains

Projet ReCaREDD: atelier sur le suivi de la dégradation forestière par télédétection : Brazzaville, République du Congo 23-25 Mai 2016

Phenology of the natural vegetation: A land cover specific approach for a reference dataset in Central Africa

Statistics of TanDEM-X DSM, coherence and backscatter for the characterization of tropical forest structural configuration

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