Research combining ecological restoration with advanced digital management systems successfully completed its acceptance phase on December 3 at the Baorixile mining operations in Inner Mongolia’s northeastern region. CHN Energy Baorixile Energy, the facility operator, implemented a project titled “Carbon Measurement of Mining-Area Restoration Ecosystems Based on RS and GIS and Its Application in Digital Ranching.” This initiative demonstrates an innovative model designed to address environmental rehabilitation while establishing productive land use on restored terrain.

Project Implementation and Scope

The research focused on the Baorixile open-pit mining site, combining two interconnected components. The ecological restoration component emphasized vegetation recovery and soil improvement. To measure restoration effectiveness, the project deployed remote sensing (RS) technology alongside geographic information system (GIS) applications. These tools created a quantifiable system for assessing carbon storage capacity within restored environmental areas.

Monitoring infrastructure reveals significant results in carbon sequestration. Data from the restoration monitoring system indicates that carbon stock levels at the northern waste dump section have accumulated to approximately 87,500 tons, demonstrating measurable environmental benefit from restoration efforts.

Digital Ranching System Development

Complementing the ecological work, the project established a digital ranch covering roughly 100 mu—approximately 0.0667 hectares—on the 735 platform within the mining area. This component represents an innovative application of technology to land management and agricultural productivity.

The digital ranch employs a monitoring framework utilizing drone-based remote sensing combined with ground-level sensor networks. These systems continuously track forage growth conditions across the ranching area. Smart wearable devices on livestock document grazing consumption patterns.

The system’s strength lies in its analytical capacity. By comparing grassland conditions with livestock grazing data collected through wearable technology, ranch managers gain objective information for informed decisions. This data-driven approach enables dynamic adjustments to carrying capacity—the maximum sustainable number of livestock that can graze available forage—ensuring environmental sustainability while optimizing productive use of restored land.

Integration and Broader Applications

The project’s most significant innovation involves comprehensive integration into what researchers describe as an integrated sky–air–ground monitoring system. Sky-based observations come through drone remote sensing, air-based measurements through atmospheric monitoring, and ground-level data from on-site sensors and livestock tracking. This architecture creates a holistic understanding of post-restoration conditions and management status.

The methodology extends beyond the immediate mining operation. By demonstrating how restored mining land converts into productive digital ranching operations while maintaining ecological monitoring, the project provides a practical reference model for land use planning and environmental management. This framework could prove valuable for other mining areas and resource-based regions facing similar post-extraction rehabilitation challenges.

The project represents a convergence of environmental responsibility with technological innovation. Rather than treating ecological restoration and land productivity as competing objectives, the model integrates them into a unified system where restoration creates value, digital monitoring ensures sustainability, and land use becomes both environmentally conscious and economically productive. This approach addresses critical concerns in regions dependent on resource extraction, demonstrating that mining operations can incorporate meaningful environmental stewardship while developing alternative economic uses for affected lands.

CHN Energy’s Baorixile Mine Turns Wasteland Into Data-Driven Pasture After Passing Key Acceptance

On December 3, a research project fusing ecological restoration with digital ranching at the Baorixile open-pit coal mine in Hulunbuir, Inner Mongolia, cleared its formal acceptance review, according to operator CHN Energy Baorixile Energy. The milestone recognizes that the once-scarred landscape—created by one of Asia’s largest open-pit coal operations—has met technical and environmental standards through remote sensing, ground sensors, and smart livestock management.

What distinguishes the initiative is its dual purpose: heal the mine’s degraded surface and make restored land productive without compromising new ecological gains. Project engineers call the approach “ecological restoration + digital ranch,” a model they contend can be replicated across resource-exhausted sites nationwide.

Launched under the title “Carbon Measurement of Mining-Area Restoration Ecosystems Based on RS and GIS and Its Application in Digital Ranching,” the effort moves beyond traditional backfilling and planting. It combines rigorous carbon-stock accounting with an Internet-of-Things pasture that continuously monitors forage growth and animal behavior. CHN Energy’s acceptance announcement framed the work as proof of concept for “integrated sky–air–ground monitoring” systems capable of tracking rehabilitation, pasture health, and carbon sequestration in real time CHN Energy statement.

The ecological restoration component targets two high-impact zones: exterior dumps where overburden once towered above the steppe and the mine’s sprawling benches cut into the earth’s surface. Technicians deployed drone-based multispectral cameras and satellite feeds to map vegetation cover, soil moisture, and terrain roughness. Layered datasets were imported into geographic information system (GIS) software to calculate carbon storage with finer resolution than traditional field plots allow. Early results suggest the northern waste-dump platform stores roughly 87,500 tons of carbon—an important indicator of the site’s ability to absorb atmospheric CO₂ after coal extraction.

Ground truthing followed from dozens of sensor stations planted across reclaimed terrain. Each node tracks soil temperature, humidity, and nutrient cycles, feeding a database that lets researchers verify how quickly replanted grasses and shrubs lock away carbon. By comparing satellite observations with sensor readings, the team can identify micro-areas lagging in recovery and adjust seeding or irrigation plans before entire slopes backslide.

Restoration is only half the work. On the 735-meter platform inside the mine’s boundary, CHN Energy established a 100-mu digital ranch—about 6.7 hectares—turning reclaimed land into a laboratory for precision grazing. Drones conduct weekly flights translating chlorophyll signatures into forage density maps. Collar-type wearables on cattle log steps taken, bite counts, and daily weight gain. An algorithm cross-references animal metrics with vegetation growth to recommend sustainable stocking rates. When forage dips below a preset threshold, an alert prompts herders to reduce stocking rates or rotate pens, maintaining ecological balance that manual observation cannot achieve.

The operation centers on an integrated “sky–air–ground” architecture: drones and satellites in the sky, meteorological sensors in the air, and IoT devices on the ground. Data synchronize through a cloud platform where managers view restoration progress and livestock performance on a single dashboard. If a cold snap threatens young saplings, the system flags the risk in the same interface that warns herders of forage stress, enabling coordinated responses.

Passing acceptance confirms the project met technical indices laid out at inception, including vegetation coverage targets, carbon-stock benchmarks, and system stability requirements. While the review was internal to CHN Energy, the company states that third-party experts in reclamation science and digital agriculture participated, lending credibility to findings. The recognition matters because Baorixile exemplifies Chinese coal’s outsized environmental footprint; demonstrating successful rehabilitation here signals to hundreds of smaller mines that digital oversight can accelerate and prove their own greening efforts.

From a governance perspective, the initiative aligns with China’s push toward measurable, reportable, and verifiable (MRV) carbon accounting schemes. By quantifying carbon sinks in restored mines, operators may eventually earn carbon credits or satisfy offset requirements, though the national framework for mining-land carbon markets remains in development. Baorixile’s experience supplies empirical data and monitoring protocols for regulators drafting those rules.

Economic efficiency represents another advantage. Traditional land reclamation often stops at revegetation, leaving local governments uncertain how to utilize the new greenery. By embedding a revenue-generating ranch within the ecological plan, CHN Energy illustrates a pathway for post-mine economies to develop without clearing fresh grassland elsewhere. The scale is modest—100 mu in the shadow of a 60-square-kilometre pit—but proponents argue that scalable technology, not size alone, proves the concept.

Challenges remain. Remote sensing can misread vegetation under heavy cloud cover, sensor maintenance in severe winters is costly, and aligning data standards across hardware vendors requires coordination. It also remains unclear how performance will hold once grazing herds expand beyond pilot numbers. According to project managers, the acceptance phase focused on system operability; long-term biodiversity and soil-health audits will follow over several growing seasons to demonstrate durability.

The success positions Baorixile as an important testbed. Inner Mongolia accounts for roughly one-quarter of China’s coal output, and many of its pits share similar climatic and geological traits. Replicability therefore matters: techniques developed here—seeding mixes suited to semi-arid grassland, drone flight paths optimized for rugged topography, IoT collars designed for extreme temperature swings—can transfer to neighboring mines with limited customization.

Comparison with overseas restoration shows convergence toward tech-enabled oversight. Australia’s Bowen Basin and the Powder River Basin in the United States increasingly use drones and GIS to track spoil-heap vegetation, but the Baorixile program adds a livestock component rare in those models. By merging carbon-stock verification with grazing analytics, CHN Energy not only restores the land but closes a feedback loop between ecological metrics and economic returns.

Looking ahead, company engineers say they are exploring blockchain to secure data integrity—a feature that could strengthen stakeholder confidence in carbon claims—and experimenting with mixed-species grazing to enhance biodiversity. Both ideas align with China’s “dual-carbon” goals of peaking emissions before 2030 and achieving neutrality by 2060, but adoption will depend on cost and policy incentives.

The December acceptance gives the Baorixile mine a new identity: no longer just a coal producer, but a living case study in how digital tools transform post-mining liabilities into assets that store carbon, generate protein, and supply data for next-generation land-management protocols.

Sources

• https://www.ceic.com/gjnyjtwwEn/xwzx/202512/5ad84756fa0e4d3d8a24dad31e77c2c3.shtml