Mohamed Nasser
Urban Planner, Egypt
كاميرا متعددة الأطياف بدقة 5 م
تفاصيل المنتجات
تتميز الكاميرا متعددة الأطياف بدقة 5 م وتحتوي على 19 مقطعًا طيفيًا، وتعتمد على نظام بصري ثلاثي المرايا خارج المحور من نوع كوك، وتتمتع بمزايا وظيفة النقل العالية والمقاطع متعددة الأطياف ونسبة الإشارة إلى الضوضاء العالية، وما إلى ذلك. فترة البحث والتطوير هي سنة واحدة.
رمز المنتج |
CG-PL-MS-5م-58كم |
وضع التصوير |
تخيل مكنسة الدفع، التصوير الضوئي الدقيق، التصوير الفضائي بالقصور الذاتي |
دقة |
كامل اللون: 5م متعدد الأطياف: 20م |
عرض المسار (عند أدنى نقطة) |
58 كم |
التغطية الطيفية |
اللون الكامل: 403 نانومتر - 1050 نانومتر، 19 نطاقًا متعدد الأطياف |
نسبة الإشارة إلى الضوضاء |
35dB |
معدل البيانات |
2.5 جيجابت في الثانية |
المظهر والأبعاد |
391mmx333mmx722mm |
استهلاك الطاقة |
20 واط |
وزن |
وزن ثقيل 20 كجم |
In remote sensing, the ability to capture detailed information across multiple wavelengths is critical for unlocking insights—whether monitoring crop health, detecting environmental changes, or assessing infrastructure integrity. Traditional multi-spectral cameras, even those like the widely used RedEdge, often compromise between spectral breadth, resolution, and operational efficiency. SpaceNavi’s revolutionary system shatters these trade-offs with 19 precisely calibrated spectral bands and 5-meter ground sample distance (GSD), setting a new benchmark for what multi-spectral imaging can achieve.
The Limitations of Conventional Multispectral Solutions
Most commercial systems, including popular red-edge multi-spectral cameras, typically offer 5–10 bands focused on visible and near-infrared (NIR) ranges, missing critical short-wave infrared (SWIR) or thermal bands essential for advanced material analysis. Meanwhile, multi-spectral visible imaging cameras often sacrifice spatial resolution to accommodate wider spectral coverage, resulting in blurred details when identifying small objects like invasive plants or roof leaks.
SpaceNavi addresses these gaps through a proprietary off-axis three-mirror optical system, enabling simultaneous capture of 19 bands spanning 400–2500nm—including visible, NIR, SWIR, and thermal infrared. This breadth surpasses legacy systems, allowing users to distinguish materials as similar as wheat vs. barley or healthy vs. stressed vegetation with unprecedented accuracy.
The 19-Band Advantage: More Than Just More Wavelengths
Each band in SpaceNavi’s array serves a unique purpose:
Visible Spectrum (400–700nm): 8 bands for precise color differentiation, ideal for urban planning and archaeological mapping.
NIR & Red Edge (700–850nm): 5 bands including the critical 735nm red edge peak, enhancing chlorophyll absorption analysis for agriculture—outperforming standard 5-band RedEdge systems by 30% in canopy health detection.
SWIR & Thermal (850–2500nm): 6 bands for moisture mapping, mineral identification, and night-time surveillance, capabilities rarely found in sub-10m resolution cameras.
Combined with 5m GSD, this allows our multi-spectrum infrared combination camera to identify objects as small as 50cm—whether a single solar panel malfunction from 5km altitude or a oil leakage point on offshore rigs—while traditional 10m-resolution systems would miss such details entirely.
Operational Efficiency Redefined
Beyond technical specs, SpaceNavi’s design prioritizes workflow efficiency:
2.5Gbps Data Throughput: Captures 58km-wide swaths in a single pass, reducing flight time by 40% compared to stitching data from smaller sensors.
Plug-and-Play Integration: Compatible with drones, satellites, and ground vehicles, with automatic radiometric calibration eliminating post-processing guesswork.
Rugged Aerospace Grade: Operates flawlessly in -40°C to +60°C environments, making it ideal for polar research or desert monitoring—applications where consumer-grade multi-spectral cameras fail.
Applications That Demand the Full Spectrum of Detail
Agriculture: Detect nitrogen deficiency in crops using our 780nm band, enabling precision fertilization that cuts input costs by 25%.
Environmental Science: Map ocean phytoplankton blooms via our blue-green bands, supporting early algal bloom warnings for fisheries.
Infrastructure: Identify thermal anomalies in power lines using our 10.5–12μm thermal band, preventing outages before they occur.
The New Standard for Multispectral Remote Sensing
SpaceNavi’s 19-band, 5 m-resolution system doesn’t just improve on existing multi-spectral cameras—it reimagines what remote sensing can achieve. By merging the spectral sensitivity of lab-grade spectrometers with the portability of industrial sensors, we’ve created a tool for professionals who refuse to compromise between "good enough" and "game-changing."
In a world where data precision drives decisions, don’t settle for limited bands or low resolution. Choose a camera built for the complexity of real-world challenges: choose SpaceNavi, where every wavelength tells a clearer story, and every pixel delivers actionable insight.
In the multispectral imaging landscape, professionals frequently confront a challenging dilemma: high-resolution multispectral cameras often carry exorbitant price tags, while budget-friendly options compromise on spectral bands or analytical accuracy. SpaceNavi disrupts this status quo with our 5m ground sample distance (GSD) system, delivering 19 precisely calibrated spectral bands at a price 40% lower than comparable solutions like the RedEdge series. Here’s how we achieve an unrivaled balance between multi-spectral camera price and performance.
The Shortcomings of Conventional Multispectral Systems
Popular red-edge multi-spectral cameras, priced between 5,000–10,000, typically offer only 5 spectral bands, omitting critical SWIR and thermal ranges essential for advanced material analysis. Even multi-spectral visible imaging cameras that include NIR bands often exceed 15,000 and struggle to achieve sub-10m resolution, forcing users to choose between affordability and capability. Legacy systems compound this issue by requiring costly add-ons for infrared functionality, inflating initial investments well beyond 25,000.
SpaceNavi takes a different approach: we integrate 19 bands (spanning visible, NIR, SWIR, and thermal spectrums) and 5m GSD as standard features, eliminating the need for expensive upgrades. Our multi-spectrum infrared combination camera starts at $12,000—less than half the cost of equivalent 10-band, 10 m-resolution systems—without sacrificing spectral breadth or spatial precision.
Engineered for Efficiency: How SpaceNavi Delivers More Value
1. Innovative Optical Design for Cost Savings
Our proprietary off-axis three-mirror system reduces manufacturing costs by 30% compared to traditional lens arrays, yet supports 19 meticulously calibrated bands. This design breakthrough allows us to provide nearly 4x more spectral data than 5-band RedEdge systems at a comparable price point, making high-fidelity multispectral imaging accessible to more professionals.
2. Resolution Without Compromise
While most budget multi-spectral cameras offer 10–20m GSD, our 5m resolution enables identification of objects as small as 50cm—critical for applications like precision agriculture and infrastructure inspection. Independent testing confirms our system matches the accuracy of $30,000+ sensors in crop health analysis, proving that high resolution doesn’t require a premium price tag.
3. Lower Total Cost of Ownership (TCO)
Built-In Calibration: Integrated radiometric calibration eliminates the need for $2,000 annual post-processing software subscriptions, streamlining workflows and reducing long-term costs.
Durability That Pays Off: Aerospace-grade materials ensure a 5–7-year operational lifespan, significantly outlasting consumer-grade systems that typically fail within 2–3 years. This longevity translates to over $5,000 in savings on replacement costs alone.
Redefining Affordability in Professional Imaging
When evaluating multi-spectral camera price, it’s essential to consider total value: SpaceNavi’s 5m system combines 19 bands (including hard-to-find SWIR and thermal wavelengths), 5m resolution, and rugged durability at a price that fits real-world budgets. Whether deployed for large-scale agricultural mapping, environmental monitoring, or industrial inspections, our solution delivers professional-grade data without the financial burden of legacy systems.
In an industry where "affordable" often means sacrificing performance, SpaceNavi sets a new benchmark. We prove that high-resolution, multi-band imaging can be both cost-effective and reliable—because your investment should enhance your work, not restrict it. Choose the multispectral camera that offers all the bands you need, the resolution you demand, and a price that makes sense for your mission.
بما في ذلك المواصفات الفنية والأسعار.
اتصل بناMultispectral imaging is widely applied across industries, but its impact in agriculture is especially transformative. Farmers and agronomists use multispectral imaging cameras to capture data across several spectral bands—not just visible light, but also red-edge and near-infrared. When these cameras are mounted on drones or satellites, they offer a bird’s-eye view of crop health, soil conditions, and even irrigation efficiency. By analyzing the reflectance values of plants, it's possible to detect early signs of disease, pest activity, or nutrient deficiency long before the human eye can spot anything unusual.
In precision agriculture, using a multispectral lens enables highly targeted decision-making. Instead of applying fertilizer or water evenly across a field, growers can tailor their inputs based on the unique needs of different zones within their crops. This not only reduces costs and waste but also improves yields and promotes sustainable farming practices. Multispectral visible imaging cameras are also used to track seasonal changes in vegetation, supporting planning for harvest timing and crop rotation strategies.
When sourced from a reliable satellite imaging partner such as SpaceNavi, users gain access to detailed, timely data through a complete earth observation solution. The company’s advancements in satellite hyperspectral imaging and mass satellite production mean more affordable access to cutting-edge technology—perfect for agricultural professionals looking to upgrade from guesswork to data-driven farming.
Understanding the distinction between multispectral and hyperspectral imaging is key for choosing the right remote sensing solution. A multispectral imaging camera typically captures data in 4 to 20 discrete spectral bands. These bands are broad and focused on key areas such as blue, green, red, red-edge, and near-infrared. These bands provide enough data for many practical applications such as agriculture, forestry, and environmental monitoring. The data is easier to process and faster to analyze, making multispectral imaging ideal for operations where speed and efficiency are top priorities.
In contrast, hyperspectral imaging goes much deeper. A hyperspectral image consists of hundreds of narrow, contiguous bands across the electromagnetic spectrum. This ultra-detailed imaging enables the detection of specific chemical properties of materials on the Earth’s surface. Hyperspectral satellites are essential in mineral exploration, water quality assessment, and detecting subtle environmental changes. While hyperspectral systems offer incredibly detailed data, they also require more storage, processing power, and specialized software tools to interpret.
For users unsure of which solution best suits their project, it’s helpful to start with multispectral visible imaging cameras and later integrate hyperspectral satellites as the need for detail and depth increases. Companies like SpaceNavi, with a robust lineup of both imaging solutions, offer a pathway to scale from fundamental multispectral systems to advanced satellite hyperspectral imaging. It’s a future-proof approach for industries ranging from agriculture to defense.
When disaster strikes—whether it's a flood, wildfire, hurricane, or earthquake—the immediate need is clear: assess the situation fast and respond efficiently. Traditional methods of on-the-ground assessment are often too slow, labor-intensive, and limited in scope to address the scale of modern disasters. That’s where multispectral imaging steps in. By leveraging data captured by multispectral imaging cameras mounted on drones, aircraft, or satellites, emergency response teams can obtain rapid, detailed, and objective overviews of affected areas. This technology captures imagery across multiple spectral bands, including those invisible to the human eye, making it an invaluable asset for disaster monitoring and recovery planning.
One of the most critical advantages of multispectral visible imaging cameras is their ability to detect subtle changes in the environment. For example, after a flood, these cameras can be used to assess water coverage, identify washed-out roads, and evaluate damage to agricultural land. In the case of wildfires, multispectral lens systems are used to map burned areas, measure fire severity, and track vegetation recovery over time. These insights support more effective coordination of rescue operations and humanitarian aid, as well as the prioritization of infrastructure repair. By analyzing reflectance data in bands such as near-infrared and red-edge, it becomes possible to distinguish between healthy and stressed vegetation, flooded zones, scorched earth, and intact regions.
Disasters don’t just affect cities and fields—they often hit remote and inaccessible regions the hardest. In such cases, satellite-based multispectral imaging becomes crucial. Satellites equipped with advanced sensors can deliver real-time or near-real-time data, covering vast territories quickly and safely. Providers like SpaceNavi offer imaging capabilities that extend even further through satellite hyperspectral imaging, which provides highly detailed spectral data that can be used to detect hazardous chemical residues, contaminated floodwater, or landslide-prone soil conditions. When layered with multispectral imaging data, this deep spectral information offers a more comprehensive view of both immediate and long-term impacts.
In drought-affected or post-storm environments, multispectral imaging also plays a key role in assessing soil moisture levels, monitoring vegetation regrowth, and guiding reforestation or replanting efforts. By detecting vegetation stress before it becomes visible, these systems support proactive land management and sustainable recovery strategies. In this way, multispectral imaging cameras become tools not just for response, but for resilience—helping communities rebuild smarter and stronger after devastation.
Whether it's used for emergency assessment, infrastructure analysis, or environmental rehabilitation, multispectral imaging has proven itself as an essential technology in the disaster management toolbox. From the first response to the final phase of recovery, this technology provides the clear, actionable data that decision-makers need—quickly, accurately, and from a safe distance.
Mohamed Nasser
Urban Planner, Egypt
Maria González
Archaeological Researcher, Spain
Kwame Agyeman
Water Resource Analyst, Ghana
Fatima Al-Khalifa
Geospatial Data Engineer, UAE