Global River Obstruction by Kaggle | Other

About this Dataset

Global River Obstruction

30549 Structures Mapped

About this dataset

This incredible Global River Obstructions Database v1.1 (GROD v1.1) dataset contains detailed information about 30549 human-made obstructions that have been identified all over the world and are preventing the longitudinal flow of their respective rivers. Through extensive mapping on Google Earth Engine Satellite Maps, these obstructions have been classified into six different types - Dam, Lock, Low head dam, Channel dam, Partial dam 1 and Partial dam 2 - which provide a useful insight on identifying the cause of obstruction in a certain riverway. With this data set at hand it is possible to identify not only the location and type of each obstruction but also its distance from the nearest sword reach just with three simple columns: Type, Lon & Lat, Distance_to_Sword! Make sure to investigate further to maximize your understanding of global river obstructions and plan accordingly with this powerful tool of ours!

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How to use the dataset

The Global River Obstructions Database (GROD) v1.1 is a comprehensive dataset of 30549 human-made obstructions that hinder the longitudinal flow of global rivers. With this dataset, you can identify and analyze these river obstructions on an international scale. In this guide, we will show you how to properly access and use the GROD v1.1 database so that you can expand your research capabilities substantially!

Research Ideas

To identify potential areas for sustainable hydropower generation and to develop new mitigation measures for existing obstacles that create unnecessary losses of river flow.

To detect possible locations where removed obstructions could be relocated to so they can be used more efficiently and minimize their impact on the natural environment of the rivers, like maximizing fish migration or reducing sedimentation issues.

To develop an automated system that can identify human-made obstructions from satellite images, using artificial intelligence (AI) and machine learning algorithms, in order to provide continuous monitoring of rivers worldwide

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: GROD_v1.1.csv

Column name	Description
type	The type of obstruction present in the river. (String)
lon	The longitude coordinate of the obstruction. (Float)
lat	The latitude coordinate of the obstruction. (Float)
distance_to_sword	The estimated distance of an obstruction from its source of origin on a river's sword reach. (Float)

File: grod_v1.0.csv

Column name	Description
type	The type of obstruction present in the river. (String)
lon	The longitude coordinate of the obstruction. (Float)
lat	The latitude coordinate of the obstruction. (Float)
distance_to_sword	The estimated distance of an obstruction from its source of origin on a river's sword reach. (Float)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Grod V1–0

@kaggle.thedevastator_rivers_obstructed_by_human_made_structures_v1_1.grod_v1_0

1.2 MB
30518 rows
6 columns


CREATE TABLE grod_v1_0 (
  "grod_id" BIGINT,
  "type" VARCHAR,
  "lon" DOUBLE,
  "lat" DOUBLE,
  "sword_reach_id" DOUBLE,
  "distance_to_sword" DOUBLE
);

Grod V1–1

@kaggle.thedevastator_rivers_obstructed_by_human_made_structures_v1_1.grod_v1_1

1.2 MB
30549 rows
6 columns


CREATE TABLE grod_v1_1 (
  "grod_id" BIGINT,
  "type" VARCHAR,
  "lon" DOUBLE,
  "lat" DOUBLE,
  "sword_reach_id" DOUBLE,
  "distance_to_sword" DOUBLE
);