Find, identify, and digitally map fish with the DREVO River Rover Scout

Find, identify, and digitally map fish with the DREVO River Rover Scout

WOOD Fish Mapping— a specialized system for detection, identification and long-term monitoring of fish, integrated into the platformDREVO River Rover ScoutIt allows you to createdynamic digital map of fish resourcesfor each river, lake and reservoir.

The main task is to move from random surveys tocontinuous digital census of fish populations.

"It is impossible to preserve fish if you do not know where they live, spawn, and migrate."

Main objectives

Creating a fish distribution map.

Determination of population sizes.

Search for spawning grounds.

Search for wintering pits.

Search for feeding places.

Migration monitoring.

Identification of invasive species.

Creation of a digital passport for especially valuable individuals.

River Rover Scout Equipment

Sonar complex

Used:

multibeam echo sounder;

side-scan sonar;

high frequency sonar;

3D mapping of fish schools.

Underwater computer vision

Cameras:

colored;

low-lit;

infrared (where applicable);

all-round visibility.

Artificial intelligence determines:

view;

size;

approximate age class;

health condition;

presence of damage.

Hydroacoustic identification

The following are analyzed:

movement of jambs;

swimming speed;

nature of behavior;

cluster density.

This allows one to estimate numbers even in conditions of limited visibility.

Ecological module

The following are measured simultaneously:

water temperature;

oxygen content;

flow speed;

depth;

pH;

electrical conductivity;

turbidity.

This helps explain the distribution of fish across sections of the river.

What is displayed on the digital map

Species composition

For each section the following are displayed:

main types;

relative abundance;

seasonal dynamics.

Age structure

Division into groups:

young;

immature;

adults;

large producers of offspring.

Dimensions

The map shows:

medium length;

maximum length;

size distribution.

Spawning grounds

The following are automatically selected:

active;

potential;

degraded;

restored.

Wintering pits

The following are determined:

depth;

temperature;

oxygen regime;

fish density.

Feeding areas

The map shows:

places of invertebrate concentration;

aquatic vegetation;

flooded wood;

areas with high biodiversity.

DREVO AI Fish

Artificial intelligence analyzes:

change in numbers;

spawning success;

growth rate;

mortality;

influence of temperature;

influence of pollution;

migration routes.

Fish Digital Passport

For large, long-lived or especially valuable individuals, a digital passport is created.

It includes:

unique DREVO Fish ID;

view;

estimated age;

dimensions;

mass (estimated);

place of discovery;

history of repeated observations;

health condition;

genetic value (if research is available).

Habitat map

Each section of the river is classified according to its ecological function.

Spawning areas

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Juvenile rearing areas

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Feeding zones

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Wintering areas

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Migration corridors

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Rare habitats

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Living Mountain Observatory

All data is automatically transferred to a single monitoring system.

Tracked:

seasonal changes;

impact of floods;

consequences of droughts;

restoration after River Rover Restore work.

Mountain Digital Twin

For each body of water, a digital model is created containing:

depth map;

current map;

fish habitat map;

history of changes;

forecast of population development.

Integration with DREVO

Additional DREVO innovations

Fish AI Recognition

Automatic recognition of fish species by body shape, coloration and movement patterns.

Acoustic Fish Census

Estimating the size of schools using hydroacoustics without the need for fishing.

Spawning Activity Detection

Determination of active spawning grounds by fish behavior and changes in hydroacoustic signal.

Fish Health Monitoring

Assessment of the population status based on activity, swimming speed, external features and environmental parameters.

Ecological Suitability Map

Automatic ranking of each section of the river according to its suitability for specific fish species, taking into account temperature, depth, current, oxygen, bottom structure and the presence of cover.

The main principle

Every river should have not only a depth map, but also a life map.

In the ecosystemDREVO Living MountainssystemWOOD Fish Mappingtransforms every river, lake, and reservoir into a digital ecological model that displays not only hydrological parameters but also fish distribution, life cycles, migration routes, and population status. This enables scientifically informed decisions on restoring aquatic ecosystems and preserving fish resources for decades to come.