This building block is centered on the use of Convolutional Neural Networks (CNNs), including Siamese and Autoencoder architectures, to detect and identify individual jaguars based on unique features such as rosette patterns and morphology. These algorithms process camera-trap data efficiently, reducing the time required for analysis and providing critical insights for decision-making in conservation.

This building block provides the essential spatial intelligence for PyroSense, enabling a dynamic understanding of the geographical landscape. Its core purpose is to identify fire risk areas, pinpoint incident locations, and visualize resource deployment. This is crucial for strategic decision-making, allowing proactive resource allocation, and response planning. 

PyroSense utilizes a robust Geographic Information System (GIS) to power this function. The GIS integrates various spatial data layers, including topography, vegetation, infrastructure, etc. Initially, baseline risk maps are created by analyzing factors, guiding the placement of sensors and cameras.

Upon detection of a potential fire by environmental sensors or AI, the system immediately feeds the precise coordinates into the GIS. This real-time location data, combined with meteorological data (local and satellite), enables dynamic risk assessments. The GIS also serves as a central operational dashboard, visualizing the real-time positions of all deployed assets, including drones and first responder teams. This facilitates optimal resource allocation and coordination. This critical information is then communicated via a web application to stakeholders, providing clear visual situational awareness and supporting informed decision-making. 

This is the comprehensive intake mechanism for all information vital to PyroSense's platform. Its purpose is to gather real-time data, from multiple origins, ensuring the system has the input needed for accurate analysis and effective decision-making. 

PyroSense integrates an agnostic and highly compatible array of data:

1. Environmental IoT Sensors are strategically deployed, and continuously collect real-time CO2, temp. and humidity data. They are agnostic in type and protocol, compatible with MQTT, LoRa, Sigfox, and NBIoT, ensuring broad integration. For efficiency, they feature long-lasting batteries (up to 10 years), minimising maintenance.  

2. Fixed cameras and drones capture high-resolution images and live video. Integrated Vision AI processes this visual data in real-time to detect anomalies like smoke or fire. 

3. PyroSense gathers data from local weather stations and satellites. Combining granular local data with broad satellite coverage provides a comprehensive understanding of current weather.

4. GIS provides foundational spatial information, including maps of terrain, vegetation,  infrastructure, etc. 

5. Firemen Wearables monitor real-time biometrics. AI enhances data for risk pattern recognition, of fatigue or heat stress. Real-time alerts are sent to nearby teams or control centers, enabling proactive intervention.

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SMART Conservation Tool software

Once plants have been collected, they are transferred to our conservation nursery for propagation, or to our seed lab for viability testing and storage. We are seeing increased effectiveness of these methods with freshly collected seeds and cuttings making it quickly to our staff. As many of these individual plants were not previously known, these actions boost the genetic diversity of ex-situ collections, providing a safe place in the face of environmental degradation.

The Mamba tool allows us to collect plant material via seeds or cuttings from endangered species that we have identified and mapped in the previous building block. This tool has an effective range well over 1000m, making even the most inaccessible areas available for management actions. 

Drone tools have been instrumental as a first step in the assessment of cliff floras. Using drones to get unique viewpoints of these environments, we can now map the distribution and abundance of critically endangered endemic cliff species and expedite their conservation. Field surveys have been conducted in Hawaii, the Republic of Palau, and Madeira (Portugal) with extremely positive results.

This gender integration initiative embeds gender analysis into every aspect of conservation project planning, implementation, and evaluation. It ensures that women’s roles, needs, and aspirations, particularly in natural resource management and ecosystem restoration, are recognized and addressed. A key component is providing targeted training in sustainable practices that boost household food security and foster environmental stewardship.

Women are empowered to assume leadership roles as community leaders, educators, and advocates for sustainable resource management. This enhances their participation in decision-making, particularly where resource management impacts their livelihoods and local ecosystems. Facilitating their engagement in governance structures ensures that conservation strategies are inclusive and equitable.

Women also play a critical role in reducing human-wildlife conflicts, especially with jaguars in the Cerrado. By sharing knowledge of sustainable land-use practices, they help design conflict-mitigation strategies, such as “jaguar-proof” livestock enclosures or diversified livelihood approaches that reduce pressure on habitats. Integrating women’s perspectives into restoration efforts enhances biodiversity recovery and promotes social equity, making this approach transferable to conservation initiatives elsewhere.

The collaborative land management planning initiative creates comprehensive plans to conserve jaguar habitats while considering the livelihoods of local communities. It emphasizes participatory processes that actively involve all stakeholders: local community members, government agencies, NGOs, and wildlife conservation experts. Interactive workshops encourage participants to share insights on land use, conservation priorities, and resource management. These workshops serve both as platforms for gathering input and promoting awareness of jaguar conservation’s critical role within the broader ecosystem.

A key component is the inclusion of biodiversity assessments to systematically evaluate ecosystem health, focusing on jaguar populations and their habitats. Socio-economic factors -such as agricultural practices, local economic dependencies, and cultural values - are also considered to ensure plans are both ecologically and socially sustainable. A multi-stakeholder committee is established to ensure the effectiveness and longevity of these strategies. This committee fosters ongoing dialogue and provides mechanisms for adapting plans as environmental and social conditions evolve. This participatory, adaptive approach ensures a harmonious coexistence between jaguar habitats and sustainable economic activities, and is transferable to other regions facing similar land-use challenges.