Remote Sensing
Articles & Tutorials
Using GeoSpatial Data Analytics: A Friendly Guide to Folium and Rasterio
Support Vector machines for classification in remote sensing
Satelite imagery access and analysis in Python & Jupyter
Intro RSGISLib, GDAL, and ScikitLearn
NDVI, NDBI & NDWI Calculation Using Landsat 7, 8
Earth Observation in Support of Malaria Control and Epidemiology: MALAREO Monitoring Approaches
Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review
Intro to Geographic Data Science (Colab notebooks, code)
Quantitative Detection of Water Bodies using Deep Learning
Understanding Image Data and Color Histograms in Satellite Imagery
Swimming pool detection and classification using deep learning
Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review
Containing the spread of malaria with geospatial tech
Data Science and Satellite Imagery
Satellite imagery analysis with Python
Deep learning for satellite imagery via image segmentation
Deep Learning with Satellite Data
10 Python image manipulation tools
Image Classification Techniques in Remote Sensing
Satellite imagery access and analysis in Python & Jupyter notebooks
Sentinel 2 Bands and Combinations
LandCoverNet Dataset Documentation
Previous computer vision road mapping project
How a team of scientists studying drought helped build the world’s leading famine prediction model
NDVI, Mapping a Function over a Collection, Quality Mosaicking
Using Satellite Imagery to Predict Changes in Income and Population
Mapping New Informal Settlements for Humanitarian Aid through Machine Learning
Visualizing Built-Up Areas Using Satellite Images
Google Environmental Insights Explorer for solar rooftop potential
A Beginner’s Guide to Segmentation in Satellite Images
Neural Network for Satellite Data Classification Using Tensorflow in Python
Deep learning for Geospatial data applications — Multi-label Classification
Crop Classification with Multi-Temporal Satellite Imagery
Deep learning for satellite imagery via image segmentation
Applying Deep Learning on Satellite Imagery Classification.
Metrics to Evaluate your Semantic Segmentation Model
How to create a DataBlock for Multispectral Satellite Image Segmentation with the Fastai-v2
Data Science and Satellite Imagery
How to use a pre-trained model (VGG) for image classification
Understanding Image Data and Color Channels in Satellite Imagery
Land-cover maps of Europe from the Cloud
An Image Processing Tool to Generate Ground Truth Data from Satellite Images using Deep Learning
Creating an Interactive Yield Prediction App Using Google Earth Engine and Jupyter Notebook
Сrор field boundary detection: approaches overview and main challenges
More accurate and flexible cloud masking for Sentinel-2 images
Multi-Class Metric Made Simple,Part I:Precision and Recall
Application of NDVI on Pasture
Vegetation indices and when to use them
Dealing with Geospatial Raster Data in Python with Rasterio
Use Google Earth Engine and Python API to Export Images to Roboflow
Build Multi Label Image Classification Model with Python
What is imbalance in image segmentation
Videos
How to download ESA Sentinel 2 images
Hands-on Satellite Imagery Analysis | Scipy 2019 Tutorial | Samapriya Roy, Sara Safavi
Hands-on Satellite Imagery Analysis | SciPy 2018 Tutorial | Sara Safavi, Dana Bauer
Repos
Resources for performing deep learning (DL) on satellite imagery
Surface Water Mapping by Deep Learning
Combining satellite imagery and machine learning to predict poverty
Code to download satellite images for some Sub-Saharan African cities
QuickOSM allows you to work quickly with OSM data in QGIS thanks to Overpass API.
Research Papers
Automatic Extraction of Water Bodies from Landsat Imagery Using Perceptron Models
Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree
Detection and Characterization of Small Water Bodies
Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification
Deep Landscape Features for Improving Vector-borne Disease Prediction
Automated Mapping of Water Bodies Using Landsat Multispectral Data
Automatic Extraction of Water Bodies from Landsat Imagery Using Perceptron Model
Land cover classification from fused DSM and UAV images using convolutional neural networks
EXPLORING CAPABILITIES OF SENTINEL-2 FOR VEGETATION MAPPING USING RANDOM FOREST
ClusterNet: unsupervised generic feature learning for fast interactive satellite image segmentation
Desert locust detection using Earth observation satellite data in Mauritania
Locusts and remote sensing: a review
Joint use of Sentinel-1 and Sentinel-2 for land cover classification: A machine learning approach
Exploring Capabilities Of Sentinel-2 For Vegetation Mapping Using Random Forest
Deep Transfer Learning for Crop Yield Prediction with Remote Sensing Data
Wheat Crop Yield Prediction Using Deep LSTM Model
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data
Measuring Vegetation from Satellite Imagery with NDVI
Handbook of Drought Indicators and Indices
Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali
Weekly supervised deep learning for segmentation of remote sensing imagery
Water body Extraction Methods Study Based on RS and GIS
Seeing through the clouds with DeepWaterMap
Ensemble Classification Technique for Water Detection in Satellite Images
Monitoring the Water Quality of Small Water Bodies Using High Resolution Remote Data Sensing
The application of drones for mosquito larval habitat identification in rural environments
Water Level Measurements from Drones: A Pilot Case Study at a Dam Site
Data Fusion for Multi-Temporal Mapping of Built-Up Areas in Sub-Saharan Africa
Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review
Unsupervised Sub-Pixel Water Body Mapping with Sentinel-3 OLCI Image
Techniques of Artificial Intelligence for Space Applications