Intelligent system for remote mapping, monitoring and analysis of mountain ecosystems
Concept
TREVO AeroSense Drone— is a multifunctional unmanned platform for remote sensing of the Earth, designed for high-precision mapping, monitoring and analysis of the state of mountain watersheds.
The system is the "eyes" of the projectDREVO Living Mountains, ensuring regular receipt of spatial data for all nine cascades, as well as operational monitoring of natural processes and the effectiveness of restoration measures.
The main principle:
Every square meter of the mountain ecosystem must be measurable, observable and analyzed throughout the project life cycle.
Main tasks
DREVO AeroSense Drone provides:
high-precision mapping of the territory;
creation of digital elevation models;
monitoring the condition of forests;
soil and vegetation analysis;
water resources control;
detection of natural hazards;
digital twin support;
operational support of restoration works.
System architecture
The complex consists of several interconnected modules.
Navigation module
Uses:
GNSS RTK;
inertial system (INS);
laser altimeters;
visual navigation;
automatic route generation.
Provides centimeter-level positioning accuracy during surveying.
LiDAR module
The main tool for creating a digital terrain model.
Allows you to receive:
digital elevation model (DTM);
digital surface model (DSM);
height of trees;
forest canopy density;
biomass volume;
microrelief;
hidden ravines;
potential erosion zones.
Laser scanning works effectively even under the forest canopy.
Photogrammetric system
Uses ultra-high definition cameras.
Created:
orthophoto plans;
3D models;
vegetation maps;
damage maps;
models of engineering structures.
Multispectral system
Allows you to analyze the condition of plants.
The following are determined:
NDVI index;
humidity index;
plant stress;
vegetation density;
development of young plantings;
forest degradation.
Hyperspectral module
Provides deep spectral analysis.
Used for:
identification of plant species;
soil condition assessment;
disease detection;
analysis of organic matter content;
search for contamination;
detection of invasive species.
Thermal imaging system
Allows you to define:
temperature anomalies;
forest fires;
hidden smoldering areas;
water stress of plants;
groundwater outlets;
potential spring zones.
Atmospheric module
Measures:
air temperature;
humidity;
pressure;
aerosol concentration;
wind direction;
wind speed.
Supports workDREVO Cloud & Mist System.
Gas analysis module (optional)
Can be used to measure:
CO₂;
CH₄;
NH₃;
H₂S;
volatile organic compounds;
other atmospheric impurities depending on the installed equipment.
Control of nine cascades
Cascade 1 - Ridges
CONTROL:
snow reserve;
fog;
wind erosion;
state of watersheds.
Cascade 2 - Upper Slopes
Analysis:
infiltration;
microterraces;
erosion;
young plantings.
Cascade 3 - Middle slopes
CONTROL:
forest structures;
biomass;
humidity;
development of the forest "sponge".
Cascade 4 - Ravines
Detection:
new ravines;
sediments;
destruction of riverbeds;
efficiency of thresholds.
Cascade 5 - Foothills
CONTROL:
infiltration basins;
agricultural lands;
humidity level;
agroforestry systems.
Cascade 6 - Floodplains
Monitoring:
seasonal flooding;
steel;
floodplain forests;
changes in riverbeds.
Cascade 7 - Estuary
CONTROL:
delta;
lagoon;
sediment distribution;
water quality (based on indirect spectral features and in combination with ground-based measurements).
Cascade 8 - Coastal Zone
Analysis:
dune;
coastline;
erosion;
coastal vegetation.
Cascade 9 - Sea
Monitoring:
coastal sea meadows;
water turbidity;
algal blooms;
state of the coastal strip.
Automatic detection
Artificial intelligence is capable of automatically identifying:
illegal logging;
new roads;
erosion;
slide;
drying up of springs;
drying out of forests;
fire sources;
damage to infrastructure;
invasive plants.
Working with robotic systems
DREVO AeroSense Drone interacts with:
DREVO Mountain Rover
Transferring coordinates:
landings;
engineering works;
repairs;
examinations.
DREVO Cloud & Mist System
Defines:
overheating zones;
areas with low humidity;
areas requiring localized hydration.
Living Mountain Observatory
Transmits data in real time.
Mountain Digital Twin
Automatically updates the digital twin of the terrain.
Planning of restoration work
Based on the footage, the system automatically suggests:
forest planting sites;
microterrace arrangement;
construction of cascades;
restoration of springs;
placement of fire barriers;
wetland restoration zones.
Long-term monitoring
Periodic overflights allow us to evaluate:
forest growth;
change in soil cover;
biomass accumulation;
restoration of hydrology;
biodiversity dynamics;
effectiveness of environmental protection measures.
All data is stored in a single observation history.
Integration
DREVO AeroSense Drone is the primary source of spatial data for:
DREVO Mountain Sponge;
Mountain Springs Recovery;
Mountain Forest Corridors;
DREVO Cloud & Mist System;
Living Mountain Observatory;
Mountain Digital Twin;
WOOD AI;
DREVO Mountain Rover;
DREVO Smart Agriculture;
Atlantic & Mediterranean Coastal Water and Soil Resilience Initiative (AMCWSRI).
Expected results
After the implementation of the system the following is achieved:
creation of high-precision maps of the entire territory;
continuous updating of the digital twin;
early detection of natural hazards;
increasing the efficiency of ecosystem restoration;
reducing the cost of field surveys;
increasing the accuracy of engineering solutions;
accumulation of an objective spatial data base for long-term project management.
Project mission
TREVO AeroSense Droneis a remote viewing system of the projectDREVO Living MountainsTogether withLiving Mountain Observatory, Mountain Digital Twin And WOOD AIIt forms a unified intelligent platform for managing mountain watersheds. Through regular remote mapping and analysis of natural processes, the project enables not only monitoring changes but also timely risk forecasting, adjusting restoration measures, and making decisions based on objective spatial data.