Communities Archive - Page 14 of 81 - Blog

Hydrological time series forecasting with Neural Networks

April 20, 2022 by Sebastian Drost 2 Comments

Filed Under: 52°North, Deep Learning, Geostatistics Tagged With: Deep Learning, hydrology, Neural Networks, Time series forecasting

Bochum students explore deep learning techniques for rainfall runoff predictions

In recent years, the applicability of Machine Learning approaches for hydrological use cases has reached great attendance. Especially long short-term memory (LSTM) networks show comparable results to conceptual models when being applied to hydrological time series forecasting problems. Now, Interdisciplinary students from Bochum explored innovative deep learning techniques for rainfall-runoff modeling.

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Flood detection using Sentinel 1 images

November 5, 2021 by Sufian Zaabalawi Leave a Comment

Filed Under: 52°North, Earth Observation Tagged With: EO, Flood detection, ML, water recognition, Water Surface Classification

In a previous Blog-post, we implemented an application to identify water surfaces using Synthetic Aperture Radar (SAR) images produced by radar-based sensors. The main advantage of using this type of sensor is that it can overcome the limitation of optical spectral sensors in the case of clouds and weather conditions that block spectral reflectance. An example is the Sentinel 1 satellite, which uses microwaves that can penetrate haze, light rain and clouds to illuminate the earth and measure the backscatter and travel time of the transmitted waves reflected by objects on the ground. It has the clear advantage of being far less dependent on the weather and can acquire images at night to obtain near-real-time information and monitor the earth over a large area. Furthermore, SAR images provide a lower backscatter reflectance for water surfaces as compared to non-water surfaces. This significant difference can be used to distinguish water surfaces and other land areas.

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Water Surface Classification in Landsat 8 and Sentinel 1 Images

September 28, 2021 by Sufian Zaabalawi Leave a Comment

Filed Under: 52°North, Earth Observation Tagged With: Deep Learning algorithm, Landsat, Sentinel, Water Surface Classification

Deep Learning algorithms are being used more often to process remote sensing data. Data captured from satellite platforms requires reliable and generalized methods to periodically extract and analyse useful information. Environmental planners are becoming increasingly interested in applications, such as land cover mapping ranging from urban development to crop detection, to monitor climate change and wildfires.

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enviroCar App for iOS users – Final Blog Post

August 23, 2021 by Khyati Leave a Comment

Filed Under: 52°North, Citizen Science, Communities, enviroCar, GSoC Tagged With: envirocar, flutter, Google Summer of Code, gsoc2021

Introduction

enviroCar is a citizen science community that collects, shares, and analyzes floating car data for traffic management and the environment. It examines the open data and estimates the track count, average speed, relative speed, CO2 emission, fuel consumption, and hotspot analysis.

enviroCar app is a mobile application that provides features such as:

Recording tracks, exploring recorded tracks, and uploading tracks as open data for analysis.
Sharing data: Uploading data as open data for analysis that estimates CO2 emission, track count, average speed, relative speed, hotspot analysis.
Providing real-time data about the track, the distance covered, and the duration.

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