Канал: EO College

Machine Learning for Sustainable Development - Global Glacier Mapping

Machine Learning for Sustainable Development - Global Glacier Mapping

Self-Supervised Learning - Contrastive Representation Learning

Self-Supervised Learning - Contrastive Representation Learning

Self-Supervised Learning - Pretext tasks

Self-Supervised Learning - Pretext tasks

Self-Supervised Learning - The SSL Pipeline

Self-Supervised Learning - The SSL Pipeline

Self-Supervised Learning - Supervised vs. Self-Supervised Learning

Self-Supervised Learning - Supervised vs. Self-Supervised Learning

Bayesian Estimation in Machine Learning - Training and Uncertainties

Bayesian Estimation in Machine Learning - Training and Uncertainties

Bayesian Estimation in Machine Learning - Maximum Likelihood and Maximum a Posteriori Estimators

Bayesian Estimation in Machine Learning - Maximum Likelihood and Maximum a Posteriori Estimators

Bayesian Estimation in Machine Learning - Introduction and Examples

Bayesian Estimation in Machine Learning - Introduction and Examples

Deep Learning for SAR - Speckle Reduction

Deep Learning for SAR - Speckle Reduction

Deep Learning for SAR - Introduction

Deep Learning for SAR - Introduction

Machine Learning for Sustainable Development - Mapping Smallholder Farms

Machine Learning for Sustainable Development - Mapping Smallholder Farms

Machine Learning for Sustainable Development - Why Machine Learning for Earth Observation?

Machine Learning for Sustainable Development - Why Machine Learning for Earth Observation?

AI and Data Science in Earth Observation - Societal Grand Challenges

AI and Data Science in Earth Observation - Societal Grand Challenges

AI and Data Science in Earth Observation - Introduction

AI and Data Science in Earth Observation - Introduction

AI and Data Science in Earth Observation - Methodological Research

AI and Data Science in Earth Observation - Methodological Research

AI and Data Science in Earth Observation - Large Scale Representative Annotated Datasets

AI and Data Science in Earth Observation - Large Scale Representative Annotated Datasets

Machine Learning for Sustainable Development - Deliver Tenure Security for All

Machine Learning for Sustainable Development - Deliver Tenure Security for All

Ethics in AI4EO - Basic Concepts

Ethics in AI4EO - Basic Concepts

Ethics in AI4EO - Applying Ethics to AI4EO

Ethics in AI4EO - Applying Ethics to AI4EO

From Text to Image and Back - Changing Captions

From Text to Image and Back - Changing Captions

From Text to Image and Back - Text to Images in Remote Sensing

From Text to Image and Back - Text to Images in Remote Sensing

From Text to Image and Back - Introduction

From Text to Image and Back - Introduction

Ethics in AI4EO - Case Study

Ethics in AI4EO - Case Study

Identifying Ethical Issues and Opportunities in AI4EO Research - 01

Identifying Ethical Issues and Opportunities in AI4EO Research - 01

Validation of large-scale Mapping Products

Validation of large-scale Mapping Products

A Workflow in the Cloud

A Workflow in the Cloud

Cloud-native Data Formats

Cloud-native Data Formats

OpenEO - A standardized API for EO Cloud Processing

OpenEO - A standardized API for EO Cloud Processing

STAC - A standardized Metadata Description for EO Data

STAC - A standardized Metadata Description for EO Data

What kind of Data can you find? And how?

What kind of Data can you find? And how?

The Role of Open Source Software in Geospatial

The Role of Open Source Software in Geospatial

The Open Science Journey

The Open Science Journey

Why do we need Open Science?

Why do we need Open Science?

The role of Data Cubes in EO

The role of Data Cubes in EO

Introduction to EO Processing Platforms

Introduction to EO Processing Platforms

Congratulations

Congratulations

Your Open Science Journey

Your Open Science Journey

Unlock Earth’s Secrets: Download Sentinel-1 Data with Copernicus!

Unlock Earth’s Secrets: Download Sentinel-1 Data with Copernicus!

ARSET - Soil Moisture Products – The Soil Moisture Active Passive (SMAP)

ARSET - Soil Moisture Products – The Soil Moisture Active Passive (SMAP)

ARSET - Common Spectral Vegetation Indices

ARSET - Common Spectral Vegetation Indices

ARSET - Vegetation Biophysical Variables - Overview

ARSET - Vegetation Biophysical Variables - Overview

ARSET - Vegetation Biophysical Variables – Leaf Area Index (LAI)

ARSET - Vegetation Biophysical Variables – Leaf Area Index (LAI)

ARSET - Vegetation Biophysical Variables - Fraction of green Vegetation Cover (fCover)

ARSET - Vegetation Biophysical Variables - Fraction of green Vegetation Cover (fCover)

ARSET - Vegetation Biophysical Variables – calibration and performance assessment

ARSET - Vegetation Biophysical Variables – calibration and performance assessment

ARSET - Vegetation Biophysical Variables - fAPAR

ARSET - Vegetation Biophysical Variables - fAPAR

ARSET - Vegetation Biophysical Variables – Canopy Chlorophyll Content (CCC)

ARSET - Vegetation Biophysical Variables – Canopy Chlorophyll Content (CCC)

Cubes & Clouds. Cloud Native Open Data Science for Earth Observation

Cubes & Clouds. Cloud Native Open Data Science for Earth Observation

ESA Land Training 2019 - Unsupervised classification

ESA Land Training 2019 - Unsupervised classification

ESA Land Training 2019 - Supervised classification

ESA Land Training 2019 - Supervised classification

Towards Zero Hunger - Food Systems, Society and Economy

Towards Zero Hunger - Food Systems, Society and Economy

Towards Zero Hunger - Food Systems, Climate and Environment

Towards Zero Hunger - Food Systems, Climate and Environment

Towards Zero Hunger - Food Security and Food Systems

Towards Zero Hunger - Food Security and Food Systems

Towards Zero Hunger - Geo-spatial Data for Food Security

Towards Zero Hunger - Geo-spatial Data for Food Security

Towards Zero Hunger - Challenges in Food Security

Towards Zero Hunger - Challenges in Food Security

Towards Zero Hunger - The yield gap

Towards Zero Hunger - The yield gap

How to use EarthDataLab to do large-scale computations

How to use EarthDataLab to do large-scale computations

How to use Recurrence Quantification Analysis to detect defforestation in Sentinel-1 data

How to use Recurrence Quantification Analysis to detect defforestation in Sentinel-1 data

How to load GDAL datasets in the EarthDataLab data cube

How to load GDAL datasets in the EarthDataLab data cube

Woody Cover Mapping - Tutorial (3/4): Model Training

Woody Cover Mapping - Tutorial (3/4): Model Training

Woody Cover Mapping - Introduction

Woody Cover Mapping - Introduction

Woody Cover Mapping - Tutorial (2/4): Spatial Cross-Validation

Woody Cover Mapping - Tutorial (2/4): Spatial Cross-Validation

Woody Cover Mapping - Tutorial (1/4): Hyperparameter Tuning

Woody Cover Mapping - Tutorial (1/4): Hyperparameter Tuning

Woody Cover Mapping - Tutorial (4/4): Prediction of Woody Cover

Woody Cover Mapping - Tutorial (4/4): Prediction of Woody Cover

Woody Cover Mapping - Welcome

Woody Cover Mapping - Welcome

Slangbos Mapping - Introduction to mlr3 for machine-learning algorithms in R

Slangbos Mapping - Introduction to mlr3 for machine-learning algorithms in R

Slangbos Mapping - Welcome

Slangbos Mapping - Welcome

Slangbos Mapping - Slangbos Mapping Tutorial 1/3

Slangbos Mapping - Slangbos Mapping Tutorial 1/3

Slangbos Mapping - Introduction to the problem of slangbos encroachment in a savanna environment

Slangbos Mapping - Introduction to the problem of slangbos encroachment in a savanna environment

Slangbos Mapping - Slangbos Mapping Tutorial 2/3

Slangbos Mapping - Slangbos Mapping Tutorial 2/3

Slangbos Mapping - Slangbos Mapping Tutorial 3/3

Slangbos Mapping - Slangbos Mapping Tutorial 3/3

Slangbos Mapping - Summary

Slangbos Mapping - Summary

Soil Moisture Estimation - Lab: Measuring soil moisture

Soil Moisture Estimation - Lab: Measuring soil moisture

Soil Moisture Estimation: Lecture

Soil Moisture Estimation: Lecture

Soil Moisture Estimation: In the field - How to read out soil moisture information

Soil Moisture Estimation: In the field - How to read out soil moisture information

Soil Moisture Estimation - In the field: Introduction to the Roda forest

Soil Moisture Estimation - In the field: Introduction to the Roda forest

Soil Moisture Estimation - Practical: Use in situ data to estimate soil moisture from Sentinel-1

Soil Moisture Estimation - Practical: Use in situ data to estimate soil moisture from Sentinel-1

Soil Moisture Estimation: In the field - Why we measure soil moisture

Soil Moisture Estimation: In the field - Why we measure soil moisture

Crop Monitoring: Biophysical Parameters - Leaf Area Index (LAI)

Crop Monitoring: Biophysical Parameters - Leaf Area Index (LAI)

Land Ownership and Management: Locating Potential Land Grabs with Remote Sensing I

Land Ownership and Management: Locating Potential Land Grabs with Remote Sensing I

Urban Land Cover Mapping: Classifying urban areas using Sentinel-2 data I

Urban Land Cover Mapping: Classifying urban areas using Sentinel-2 data I

Mapping Slums: Mapping Slums with RS and Additional Spatial Datasets

Mapping Slums: Mapping Slums with RS and Additional Spatial Datasets

Biomass Estimation: Plot to Map Quality

Biomass Estimation: Plot to Map Quality

Crop Monitoring: Biophysical Parameters - Tutorial Walkthrough II

Crop Monitoring: Biophysical Parameters - Tutorial Walkthrough II

Urban Land Cover Mapping: Urban Monitoring LST with MODIS Data

Urban Land Cover Mapping: Urban Monitoring LST with MODIS Data

Urban Land Cover Mapping: Lecture on Urban Monitoring

Urban Land Cover Mapping: Lecture on Urban Monitoring

Urban Land Cover Mapping: Introduction to Urban Monitoring Use Cases

Urban Land Cover Mapping: Introduction to Urban Monitoring Use Cases

Food Security: Personal Introduction

Food Security: Personal Introduction

Urban Land Cover Mapping: Lecture about Urban Monitoring with MODIS Data based LST

Urban Land Cover Mapping: Lecture about Urban Monitoring with MODIS Data based LST

Mapping Slums: Fitting the Model

Mapping Slums: Fitting the Model

Basics of Remote Sensing: Pixel-based Classification using the Feature Space

Basics of Remote Sensing: Pixel-based Classification using the Feature Space

Urban Land Cover Mapping: Introduction to Urban Monitoring

Urban Land Cover Mapping: Introduction to Urban Monitoring

Mapping Slums: Validating of Results

Mapping Slums: Validating of Results

Land Cover Classifications: What is the Feature Space?

Land Cover Classifications: What is the Feature Space?

Mapping Slums - Running the Random Forest Model

Mapping Slums - Running the Random Forest Model

Urban Land Cover Monitoring: Classifying urban areas using Sentinel-2 data I

Urban Land Cover Monitoring: Classifying urban areas using Sentinel-2 data I

Biomass Estimation: LiDAR for Biomass Estimation

Biomass Estimation: LiDAR for Biomass Estimation

Mapping Slums: Visualization of the Model in QGIS

Mapping Slums: Visualization of the Model in QGIS

Food Security: Remote Sensing in Agriculture

Food Security: Remote Sensing in Agriculture

Crop Monitoring: Biophysical Parameters - Validation of LAI and other Vegetation Properties

Crop Monitoring: Biophysical Parameters - Validation of LAI and other Vegetation Properties

Crop Monitoring: Biophysical Parameters - Introduction to biophysical parameters

Crop Monitoring: Biophysical Parameters - Introduction to biophysical parameters

Crop Monitoring: Biophysical Parameters - Tutorial Walkthrough II

Crop Monitoring: Biophysical Parameters - Tutorial Walkthrough II

Crop Monitoring: Biophysical Parameters - Remote Chlorophyll Estimation

Crop Monitoring: Biophysical Parameters - Remote Chlorophyll Estimation

Urban Land Cover Mapping: Lecture on Urban Monitoring with GHSL

Urban Land Cover Mapping: Lecture on Urban Monitoring with GHSL

Food Security: Calibrating the radar image

Food Security: Calibrating the radar image

Food Security: Data Preparation in QGIS

Food Security: Data Preparation in QGIS

Basics of Remote Sensing: Preprocessing Steps of Optical Data

Basics of Remote Sensing: Preprocessing Steps of Optical Data

Crop Monitoring: Biophysical Parameters - Validation of Spectral Surface Properties

Crop Monitoring: Biophysical Parameters - Validation of Spectral Surface Properties

Food Security: Digitize field boundaries using QGIS

Food Security: Digitize field boundaries using QGIS

Carbon Accounting: Carbon Accounting REDD+ Measuring Reporting and Verification

Carbon Accounting: Carbon Accounting REDD+ Measuring Reporting and Verification

Land Cover Classifications: Introduction to Classification Types

Land Cover Classifications: Introduction to Classification Types

Carbon Accounting: Policy Environment

Carbon Accounting: Policy Environment

Sensor Accuracy: Introduction to Accuracy in Remote Sensing

Sensor Accuracy: Introduction to Accuracy in Remote Sensing

Mapping Slums - Mapping Slums Data Preparation in QGIS

Mapping Slums - Mapping Slums Data Preparation in QGIS

Food Security: Statstical Analysis in R

Food Security: Statstical Analysis in R

Food Security: Comparing Backscatter Values and Ground Truth

Food Security: Comparing Backscatter Values and Ground Truth

Urban Land Cover Mapping: Classifying urban areas using Sentinel-2 data II

Urban Land Cover Mapping: Classifying urban areas using Sentinel-2 data II

Basics of Remote Sensing: Temporal signatures

Basics of Remote Sensing: Temporal signatures

Food Security: Preprocessing of Sentinel-1 data with SNAP

Food Security: Preprocessing of Sentinel-1 data with SNAP

Land Cover Data & Uses: Choosing the right Land Cover Product

Land Cover Data & Uses: Choosing the right Land Cover Product

Urban Land Cover Mapping: Urban Monitoring using Global Human Settlement data on Google Earth Engine

Urban Land Cover Mapping: Urban Monitoring using Global Human Settlement data on Google Earth Engine

Food Security: Analyze Radar Backscatter

Food Security: Analyze Radar Backscatter

Mapping Slums: Visualization and Preprocessing

Mapping Slums: Visualization and Preprocessing

Biomass Estimation: Biomass Monitoring with LiDAR

Biomass Estimation: Biomass Monitoring with LiDAR

Food Security: Introduction and Data Download

Food Security: Introduction and Data Download

Urban Land Cover Mapping: Urban Land Cover Mapping in Google Earth Engine

Urban Land Cover Mapping: Urban Land Cover Mapping in Google Earth Engine

Urban Land Cover Mapping: Assessment of Changes using the Global Human Settlement Layers

Urban Land Cover Mapping: Assessment of Changes using the Global Human Settlement Layers

Land Ownership and Management: Assessing Land Tenure Regimes Introduction

Land Ownership and Management: Assessing Land Tenure Regimes Introduction

Land Cover Data & Uses: Training Data Selection

Land Cover Data & Uses: Training Data Selection

Commodity Mapping: Remote Sensing for Commodity Mapping

Commodity Mapping: Remote Sensing for Commodity Mapping

Basics of Remote Sensing: Spectral Resolution

Basics of Remote Sensing: Spectral Resolution

Land Ownership and Management: Locating Potential Land Grabs with Remote Sensing II

Land Ownership and Management: Locating Potential Land Grabs with Remote Sensing II

Mapping Slums - Introduction II

Mapping Slums - Introduction II

Land Ownership and Management: Land Management Introduction

Land Ownership and Management: Land Management Introduction

Mapping Slums - Ideas and Concepts

Mapping Slums - Ideas and Concepts

Land Ownership and Management: Locating Potential Land Grabs with Remote Sensing III

Land Ownership and Management: Locating Potential Land Grabs with Remote Sensing III

Land Ownership and Management: Land Tenure and Remote Sensing

Land Ownership and Management: Land Tenure and Remote Sensing

Land Ownership and Management: Detecting Changes in Land Tenure

Land Ownership and Management: Detecting Changes in Land Tenure

Land Ownership and Management: Introduction to Locating Potential Land Grabs with Remote Sensing

Land Ownership and Management: Introduction to Locating Potential Land Grabs with Remote Sensing

Land Ownership and Management: Land Ownership Use Cases Introduction

Land Ownership and Management: Land Ownership Use Cases Introduction

Land Ownership and Management: Assessing Land Tenure Regimes I

Land Ownership and Management: Assessing Land Tenure Regimes I

Mapping Slums: Visually Detecting Slums II

Mapping Slums: Visually Detecting Slums II

Land Ownership and Management: Assessing Land Tenure Regimes II

Land Ownership and Management: Assessing Land Tenure Regimes II

Mapping Slums: Visually Detecting Slums I

Mapping Slums: Visually Detecting Slums I

Land Ownership and Management: What is Land Tenure?

Land Ownership and Management: What is Land Tenure?

Accuracy in AGB maps: Introducing Plot-to-Map tool

Accuracy in AGB maps: Introducing Plot-to-Map tool

Commodity Mapping: Introduction to Commodity Mapping

Commodity Mapping: Introduction to Commodity Mapping

Mapping Slums: Introduction

Mapping Slums: Introduction

Lake and River Ice - Case Study: Ice Road

Lake and River Ice - Case Study: Ice Road

Lake and River Ice - Case Study: Lake Ice

Lake and River Ice - Case Study: Lake Ice

Lake and River Ice - Case Study: River Ice

Lake and River Ice - Case Study: River Ice

Land Ownership and Management: Introduction to Detecting Changes in Land Tenure

Land Ownership and Management: Introduction to Detecting Changes in Land Tenure

Droughts - Monitoring Drought Impact 2

Droughts - Monitoring Drought Impact 2

Fire Monitoring: Fire Intensity and Burn Severity II

Fire Monitoring: Fire Intensity and Burn Severity II

Drought Monitoring - Calculate the SVI for Drought Monitoring using Google Earth Engine

Drought Monitoring - Calculate the SVI for Drought Monitoring using Google Earth Engine

Drought Monitoring - Calculation of Precipitation Anomalies based on CHIRPS with Google Earth Engine

Drought Monitoring - Calculation of Precipitation Anomalies based on CHIRPS with Google Earth Engine

Fire Monitoring: Introduction to Fire Intensity and Burn Severity

Fire Monitoring: Introduction to Fire Intensity and Burn Severity

Fire Monitoring - Introduction

Fire Monitoring - Introduction

Fire Monitoring: Fire Intensity and Burn Severity I

Fire Monitoring: Fire Intensity and Burn Severity I

Fire Monitoring: Fire monitoring with Remote Sensing

Fire Monitoring: Fire monitoring with Remote Sensing

Drought Monitoring: Introduction

Drought Monitoring: Introduction

Drought Monitoring - Welcome

Drought Monitoring - Welcome

Drought Monitoring - Role of Earth Observation

Drought Monitoring - Role of Earth Observation

Forest Monitoring: Time Series Methods for Forest Monitoring

Forest Monitoring: Time Series Methods for Forest Monitoring

Forest Monitoring: Introduction to Forest Monitoring

Forest Monitoring: Introduction to Forest Monitoring

Land Degradation: Introduction to SDGs and Land Degradation Quantification

Land Degradation: Introduction to SDGs and Land Degradation Quantification

Land Degradation: Preparation of land degradation sub-indicators

Land Degradation: Preparation of land degradation sub-indicators

Land Degradation: Introduction to the Trends.Earth QGIS plugin

Land Degradation: Introduction to the Trends.Earth QGIS plugin

Land Degradation: Calculation of final SDG 15.3.1 indicators

Land Degradation: Calculation of final SDG 15.3.1 indicators

Flood Mapping: Introduction

Flood Mapping: Introduction

Flood Mapping: Severe flash flooding event in Iran 2019

Flood Mapping: Severe flash flooding event in Iran 2019

Flood Mapping: The Modified Normalized Difference Water Index (MNDWI) after Xu 2006

Flood Mapping: The Modified Normalized Difference Water Index (MNDWI) after Xu 2006

Flood Mapping: Sentinel-2 thresholding in the EO Browser

Flood Mapping: Sentinel-2 thresholding in the EO Browser

Agriculture - SAR Interaction with Soil Roughness

Agriculture - SAR Interaction with Soil Roughness

Agriculture - SAR Interaction with Soil Moisture

Agriculture - SAR Interaction with Soil Moisture

Agriculture - SAR Interaction with Crop Canopies

Agriculture - SAR Interaction with Crop Canopies

Canada and Radar - The RADARSAT Constellation Mission

Canada and Radar - The RADARSAT Constellation Mission

Canada and Radar - The RADARSAT Program

Canada and Radar - The RADARSAT Program

Canada and Radar - Application Examples

Canada and Radar - Application Examples

Canada and Radar - The RADARSAT Program in Brief

Canada and Radar - The RADARSAT Program in Brief

Canada and Radar - Canada's Pathway to the RADARSAT Program

Canada and Radar - Canada's Pathway to the RADARSAT Program

Canada and Radar - Early Canadian Radar Connections

Canada and Radar - Early Canadian Radar Connections

Canada and Radar - Context of Canada's geography, environment and radar remote sensing

Canada and Radar - Context of Canada's geography, environment and radar remote sensing

Canada and Radar - Overview of the MOOC: Winter-Water-Warming: Canadian SAR Applications

Canada and Radar - Overview of the MOOC: Winter-Water-Warming: Canadian SAR Applications

Agriculture - Pre-Processing of Satellite Data for Annual Crop Inventory

Agriculture - Pre-Processing of Satellite Data for Annual Crop Inventory

Agriculture - Canada's Annual Crop Inventory (ACI)

Agriculture - Canada's Annual Crop Inventory (ACI)

Agriculture - Agriculture and Earth Observation

Agriculture - Agriculture and Earth Observation

Agriculture - Earth Observation Operations at AAFC

Agriculture - Earth Observation Operations at AAFC

Sea Ice - from SAR Image to Sea Ice Charts

Sea Ice - from SAR Image to Sea Ice Charts

Sea Ice - Operational use of SAR at Canadian Ice Service

Sea Ice - Operational use of SAR at Canadian Ice Service

Sea Ice - Radar Remote Sensing Operations at Canadian Ice Service

Sea Ice - Radar Remote Sensing Operations at Canadian Ice Service

Lake and River Ice - Fieldwork

Lake and River Ice - Fieldwork

Lake and River Ice - Radar and Ice Interactions

Lake and River Ice - Radar and Ice Interactions

Lake and River Ice - The Radar Advantage

Lake and River Ice - The Radar Advantage

Lake and River Ice - Significance of Lake and River Ice

Lake and River Ice - Significance of Lake and River Ice

Lake and River Ice - Canada Centre for Remote Sensing

Lake and River Ice - Canada Centre for Remote Sensing

Lake and River Ice - Concluding Remarks

Lake and River Ice - Concluding Remarks

Lake and River Ice - Introduction to the Case Studies: Lake Ice, River Ice and Seasonal Ice Roads

Lake and River Ice - Introduction to the Case Studies: Lake Ice, River Ice and Seasonal Ice Roads

Land in Focus Trailer

Land in Focus Trailer

The Radar Equation

The Radar Equation

The influence of the incidence angle on the radar backscatter signal

The influence of the incidence angle on the radar backscatter signal