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Hyperspectral Remote Sensing Market Size 2024-2028

The hyperspectral remote sensing market size is forecast to increase by USD 81 million, at a CAGR of 9.58% between 2023 and 2028.

The Hyperspectral Remote Sensing market is experiencing significant growth, driven by the increasing adoption of Unmanned Aerial Vehicles (UAVs) and hyperspectral imaging sensors for remote sensing applications. UAVs offer advantages such as flexibility, cost-effectiveness, and high-resolution imaging, making them an attractive option for industries like agriculture, forestry, and environmental monitoring. Additionally, the availability of narrower bandwidths in hyperspectral sensors enhances the ability to capture more detailed information, enabling more accurate analysis and decision-making. However, the high capital investment required for hyperspectral systems remains a challenge for market expansion.
Companies must balance the potential benefits of investing in these advanced technologies against the costs and the need for a clear return on investment. Effective strategic planning and operational efficiency are crucial for businesses seeking to capitalize on the opportunities presented by the hyperspectral remote sensing market while navigating the financial challenges.

What will be the Size of the Hyperspectral Remote Sensing Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The hyperspectral remote sensing market continues to evolve, driven by advancements in spectral signature analysis and its applications across various sectors. Crop health monitoring is a significant area of focus, with weed identification systems and precision agriculture applications gaining traction. Object-based image analysis and data visualization techniques enable spatial resolution assessment, leading to improved crop management and yield prediction models. Geospatial data integration, pixel-level classification, and satellite imagery processing are essential components of hyperspectral remote sensing. Radiometric calibration methods and data processing algorithms ensure accurate data analysis, while atmospheric correction methods and deep learning models enhance image classification techniques.

Soil moisture estimation and water stress detection are critical applications, especially in arid regions. Multispectral data fusion and disease detection algorithms contribute to enhanced crop management, while spectral unmixing techniques provide insights into soil and vegetation composition. Remote sensing platforms employing hyperspectral imaging sensors and thermal infrared sensing enable farmers to make data-driven decisions. Drone-based hyperspectral surveys offer high-resolution data acquisition protocols, providing real-time insights into crop health. Image registration methods and vegetation index mapping facilitate accurate analysis and interpretation of data. According to industry reports, the hyperspectral remote sensing market is expected to grow by over 15% annually, driven by the increasing demand for precision agriculture and environmental monitoring applications.

This growth is fueled by advancements in sensor calibration techniques, data processing algorithms, and machine learning applications.

How is this Hyperspectral Remote Sensing Market Industry segmented?

The hyperspectral remote sensing market industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  VNIR
  SWIR
  Thermal LWIR


Application

  Agriculture and forestry
  Geology and mineral exploration
  Ecology
  Disaster management


Geography

  North America

    US


  Europe

    France
    Germany
    UK


  APAC

    China


  Rest of World (ROW)

By Type Insights

The vnir segment is estimated to witness significant growth during the forecast period.

Hyperspectral remote sensing, a technology that enables the acquisition and analysis of spectral signatures across the electromagnetic spectrum, is experiencing significant growth in various industries. The largest segment of this market, by type, is VNIR (Visible and Near Infrared) imaging, which accounted for over 70% of the market share in 2023. This segment's dominance can be attributed to its wide application in crop health monitoring, weed identification systems, and precision agriculture. Object-based image analysis, data visualization techniques, and machine learning applications are essential tools in processing hyperspectral data. Geospatial data integration and multispectral data fusion are also crucial for enhancing data accuracy and improving spatial resolution assessment.

Satellite ima

Satellite Remote Sensing Image Market Outlook

In 2023, the global satellite remote sensing image market size was valued at approximately USD 3.5 billion and is projected to reach around USD 7.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.1% during the forecast period. The market's robust growth can be attributed to an increasing demand for high-resolution satellite imagery, advancements in satellite technology, and a growing number of applications across various industries.

The primary growth factor for the satellite remote sensing image market is the increasing utilization of satellite imagery in diverse fields such as agriculture, environmental monitoring, and disaster management. Farmers and agricultural professionals are increasingly reliant on satellite images to monitor crop health, forecast yields, and manage resources more effectively. The advanced capabilities of remote sensing technology allow for precise monitoring of vegetation, soil moisture, and crop conditions, thereby aiding in precision agriculture. This trend not only helps in maximizing agricultural output but also in making farming more sustainable by optimizing the use of water and fertilizers.

Environmental monitoring is another significant area driving the market growth. Governments and organizations worldwide are leveraging satellite remote sensing to track environmental changes and address climate change issues. By monitoring deforestation, glacier retreat, sea-level rise, and other ecological metrics, stakeholders can make informed decisions to mitigate adverse impacts. The precision and comprehensive coverage offered by satellite imagery make it indispensable for long-term environmental monitoring and conservation efforts.

Disaster management is a critical application where satellite remote sensing images play a pivotal role. Natural disasters such as hurricanes, earthquakes, floods, and wildfires can be swiftly assessed and managed using high-resolution satellite images. These images provide real-time data that enable authorities to allocate resources efficiently, plan evacuations, and assess damage. The ability to quickly and accurately assess disaster impacts helps in reducing response times and improving the effectiveness of relief operations.

The integration of Atmospheric Satellite technology into the field of remote sensing is poised to revolutionize the way we gather data about the Earth's atmosphere. Atmospheric Satellites, often referred to as 'atmosats', are designed to operate at altitudes higher than traditional aircraft but lower than conventional satellites. This unique positioning allows them to capture detailed atmospheric data, which is crucial for understanding weather patterns, climate change, and environmental phenomena. The ability of atmosats to remain in the same position relative to the Earth's surface provides continuous monitoring capabilities, making them invaluable for applications such as real-time weather forecasting, air quality monitoring, and disaster response. As the demand for precise atmospheric data grows, the role of Atmospheric Satellites in enhancing the accuracy and reliability of satellite remote sensing images becomes increasingly significant.

Regionally, North America and Europe are leading the market due to their advanced satellite technologies and high adoption rates across various industries. The presence of key market players, coupled with extensive investments in space programs, propels the market in these regions. North America, in particular, benefits from increased funding for space exploration and defense applications, while Europe focuses on environmental monitoring and urban planning. However, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by rapid economic development, expanding agricultural activities, and growing investments in space technology.

Technology Analysis

The technology segment of the satellite remote sensing image market is categorized into Optical, Radar, and Hyperspectral imaging technologies. Each of these technologies offers unique advantages and applications, driving their adoption across various sectors. Optical imaging, which involves capturing images using visible light, is widely used for its high-resolution capabilities and cost-effectiveness. This technology is particularly beneficial for applications requiring detailed visual information, such as urban planning, construction monitoring, and

The global satellite remote sensing software market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise figures for market size and CAGR aren't provided, considering the technological advancements and applications in agriculture (precision farming, crop monitoring), water conservancy (flood management, irrigation optimization), forest management (deforestation monitoring, resource assessment), and the public sector (urban planning, disaster response), a conservative estimate places the 2025 market size at approximately $2 billion. This figure reflects the substantial investments in satellite imagery acquisition and analysis capabilities worldwide. The market is further fueled by the rising adoption of cloud-based solutions, enhancing accessibility and scalability of software platforms. Trends such as the integration of AI and machine learning for automated image processing, the proliferation of high-resolution satellite imagery, and the increasing availability of open-source software are accelerating market expansion. However, factors such as the high cost of specialized software licenses and the need for skilled professionals to operate the sophisticated systems act as restraints. The market is segmented by application (agriculture, water conservancy, forest management, public sector, others) and software type (open-source, non-open-source). The North American and European markets currently hold significant shares, but the Asia-Pacific region is witnessing rapid growth due to increasing infrastructure development and government initiatives promoting geospatial technologies. This dynamic market landscape presents lucrative opportunities for both established players and emerging companies in the years to come. The forecast period (2025-2033) anticipates continued growth, with a projected CAGR of approximately 12%, driven by the aforementioned technological advancements and broadening applications across various industry verticals. The competitive landscape is comprised of both major players like ESRI, Trimble, and PCI Geomatica, offering comprehensive suites of software, and smaller, specialized companies focusing on niche applications or open-source solutions. The market is characterized by both proprietary and open-source software options. Open-source solutions like QGIS and GRASS GIS offer cost-effective alternatives, particularly for research and smaller organizations, while commercial solutions provide advanced functionalities and support. The increasing availability of cloud-based solutions is blurring the lines between these segments, with hybrid models emerging that combine the benefits of both. Future growth will be significantly influenced by collaborations between software providers and satellite imagery providers, fostering a more integrated ecosystem and streamlining the data acquisition and processing workflow. The market will continue to benefit from advancements in satellite technology, producing higher-resolution, more frequent, and more affordable imagery.

The active remote sensing services market is experiencing robust growth, driven by increasing demand across diverse sectors. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching approximately $28 billion by 2033. This expansion is fueled by several key factors. Firstly, the agriculture sector's increasing reliance on precision farming techniques necessitates high-resolution imagery and data analysis for yield optimization and resource management. Similarly, the burgeoning infrastructure and engineering sectors leverage remote sensing for project planning, monitoring, and risk assessment. The environmental and weather sectors benefit significantly from its application in climate change monitoring, disaster prediction, and resource management. Advances in sensor technology, particularly in UAVs and satellite imagery, are also contributing to market growth, offering improved resolution, coverage, and data accessibility at increasingly competitive prices. Furthermore, the integration of AI and machine learning in data processing enhances analytical capabilities, leading to faster and more accurate insights. However, market growth faces certain restraints. High initial investment costs for acquiring and maintaining remote sensing equipment, particularly satellites, can deter smaller players. Data storage and processing requirements for large datasets pose challenges in terms of infrastructure and cost. Furthermore, regulatory hurdles related to data privacy and security, along with potential geopolitical limitations on data access, can impede widespread adoption in certain regions. Nevertheless, the ongoing technological advancements and increasing applications across various sectors are likely to mitigate these challenges and ensure sustained market growth in the coming years. The market segmentation reveals a strong presence of satellite-based services, followed by UAV and manned aircraft-based services, with applications in agriculture, infrastructure, environmental monitoring and defense sectors leading the way. Companies such as Maxar Technologies, Planet Labs, and Airbus are key players shaping innovation and market competitiveness.

Remote Sensing Software Market Outlook

In 2023, the global remote sensing software market size was valued at approximately USD 3.8 billion and is expected to reach around USD 8.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.7% during the forecast period. The robust growth of this market is driven by the increasing adoption of advanced remote sensing technologies across various industries, such as agriculture, defense, and urban planning, coupled with the rising demand for high-resolution satellite imagery.

One of the primary growth factors for the remote sensing software market is the escalating demand for precision agriculture. As the global population continues to rise, the need for efficient and effective agricultural practices has become paramount. Remote sensing software provides farmers with vital data regarding crop health, soil conditions, and water availability, enabling them to make informed decisions that enhance yield and resource utilization. Moreover, advancements in drone technology and satellite imagery have further augmented the capabilities of remote sensing software in the agricultural sector.

Another significant growth driver is the increasing focus on environmental monitoring and disaster management. Climate change and its associated impacts, such as more frequent and severe natural disasters, necessitate enhanced monitoring and response systems. Remote sensing software offers critical insights into environmental parameters like deforestation rates, water quality, and natural disaster occurrences. Governments and organizations worldwide are investing heavily in these technologies to mitigate the adverse effects of climate change and improve disaster preparedness and response.

The defense and intelligence sector also plays a crucial role in propelling the growth of the remote sensing software market. With the rising geopolitical tensions and the need for national security, defense agencies are increasingly relying on remote sensing technologies for surveillance, reconnaissance, and intelligence gathering. The ability to obtain real-time, high-resolution imagery and data has become indispensable for strategic planning and threat assessment, further bolstering the growth of this market segment.

Remote Sensing Technologies have revolutionized the way industries gather and analyze data from the earth's surface. These technologies encompass a wide range of tools and methods, including aerial and satellite imaging, which provide critical insights into various environmental and industrial parameters. By capturing data from multiple sensors, remote sensing technologies enable the creation of detailed maps and models that are invaluable for applications such as urban planning, agriculture, and disaster management. The integration of these technologies with advanced software solutions enhances their capabilities, allowing for real-time data processing and analysis. As a result, industries can make more informed decisions, optimize resource utilization, and improve operational efficiency.

Looking at the regional outlook, North America is expected to dominate the remote sensing software market during the forecast period, primarily due to the presence of key market players and substantial investments in technological advancements. Additionally, the Asia Pacific region is anticipated to exhibit the highest growth rate, driven by rapid urbanization, increasing defense budgets, and growing awareness about the benefits of remote sensing technologies. Europe is also projected to witness significant growth, fueled by stringent environmental regulations and government initiatives aimed at sustainable development.

Component Analysis

The remote sensing software market can be segmented by component into software and services. The software segment encompasses various types of remote sensing tools, including image processing software, data analysis software, and geographic information system (GIS) software. These tools are essential for interpreting and analyzing the vast amounts of data collected through remote sensing technologies. The increasing demand for high-resolution data and the need for real-time analysis have been key factors driving the growth of the software segment.

Within the software segment, image processing software holds a significant share due to its ability to enhance and interpret satellite and aerial imagery. This software enables the extractio

The global Along-Track Scanner market is poised for significant growth, projected to reach a market size of $2.5 billion by 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 7%. This robust expansion is driven by increasing demand for high-resolution remote sensing data in various sectors, including environmental monitoring, agriculture, and defense. The market is segmented by sensitivity (high and low) and application (passive remote sensing from space, food industry line analysis, and other industrial applications). The high sensitivity segment currently dominates due to the superior data quality it provides, however, advancements in low-sensitivity scanner technology are expected to fuel growth in this segment over the forecast period. Key trends include miniaturization of scanners, integration with advanced analytics platforms, and increasing adoption of cloud-based data processing solutions. Despite the growth potential, market restraints such as high initial investment costs, complex data processing requirements, and the need for skilled professionals to operate and interpret the data may limit market penetration in certain regions. The North American market holds a significant share currently, primarily due to strong government investment in space technology and a robust private sector involved in remote sensing applications. However, rapid technological advancements and rising adoption in Asia-Pacific are expected to increase its market share significantly over the next decade. The competitive landscape is characterized by established players such as Harris Geospatial Solutions, GMS, and NASA alongside emerging technology companies like Revolvy, Photon, and BaySpec, leading to innovations and product diversification. The forecast period from 2025 to 2033 indicates continued market expansion, with the CAGR of 7% expected to drive further market penetration across various applications and geographical regions. Growth will be fueled by continued government investment in space exploration and earth observation, increased private sector investment in data-driven applications, and technological advancements enabling improved data accuracy and efficiency. The focus will shift towards cost-effective solutions and user-friendly platforms that broaden market accessibility beyond specialized applications. Specific regions like Asia-Pacific are likely to witness exceptional growth owing to increasing infrastructure development and growing awareness of the benefits of remote sensing technologies. Companies are increasingly focusing on partnerships and collaborations to expand their reach and market share and to address customer demands. The market is evolving to a more data-centric approach, leading to new applications and data analytics services that will further drive market growth. This report provides an in-depth analysis of the global along-track scanner market, projecting substantial growth in the coming years. We delve into market segmentation, key players, emerging trends, and future prospects, leveraging proprietary data and industry expertise to deliver actionable insights for businesses involved or considering entry into this dynamic sector. The report covers crucial aspects like high-sensitivity and low-sensitivity scanners, focusing on applications in space-based remote sensing and industrial line analysis.

This is a landing page. To access the datasets, expand the RELATED DATASETS section below, and follow the link to the dataset you require. \r \r --------------------------------------\r \r The Remote Sensing Organisational Unit as part of the Water Group, within the NSW Department of Climate Change, Energy, the Environment and Water (NSW DCCEEW) is dedicated to harnessing the power of satellite earth observations, aerial imagery, in-situ data, and advanced modelling techniques to produce cutting-edge remote sensing information products. Our team employs a multi-faceted approach, integrating remote sensing data captured by satellites operating at various temporal and spatial scales with on-the-ground observations and key spatial datasets, including land-use mapping, weather data, and ancillary verification datasets. This synthesis of diverse information sources enables us to derive critical insights that significantly contribute to water resource planning, policy formulation, and advancements in scientific research.\r \r Drawing upon satellite imagery from reputable sources such as NASA, the European Space Agency, and commercial providers like Planet and SPOT, our team places a special emphasis on leveraging Landsat and Sentinel satellite imagery. Renowned for their archived, calibrated, and consistent datasets, these sources provide a significant advantage in our pursuit of delivering accurate and reliable information. To ensure the robustness of our information products, we implement thorough validation processes, incorporating semi-automation techniques that facilitate rapid turnaround times.\r \r Our operational efficiency is further enhanced through strategic interventions in our workflows, including the automation of processes through efficient computing scripts and the utilization of Google Earth Engine for cloud computing. This integrated approach allows us to maintain high standards of data quality while meeting the increasing demand for timely and accurate information.\r \r Our commitment to providing high-quality, professional, and technically accurate Remote Sensing - Geographic Information System (RS-GIS) data packages, maps, and information is underscored by our recognition of the growing role of technology in information transfer and the promotion of information sharing. Moreover, our dedication to ensuring the currency of RS-GIS methods, interpretation techniques, and 3D modelling enables us to continually deliver innovative products that align with evolving client expectations. Through these efforts, our team strives to contribute meaningfully to the advancement of remote sensing applications for improved environmental understanding and informed decision-making.\r \r -----------------------------------\r \r Note: If you would like to ask a question, make any suggestions, or tell us how you are using this dataset, please visit the NSW Water Hub which has an online forum you can join.\r \r \r \r \r

This dataset includes 1km resolution monthly timescale estimates of evapotranspiration (ET) for the 2000-2015 timespan. These new SSEBop-WB estimates were developed by combining a previously published long-term annual average evapotranspiration map based on water balance constraints with the SSEBop remote sensing ET product (see Associated Items). The combination aims to leverage the advantages of each approach in gaining both the temporal resolution of remote sensing data and the long-term magnitude constraints of ground-based data. This data release also includes other supporting data associated with the publication of these estimation methods in a concurrent journal article. Analyses in the journal article included comparisons between SSEBop ET, the MOD16 remote sensing ET product, and the new SSEBop-WB ET in a variety of settings against ET data from 119 flux towers across the U.S. Residuals between the remote sensing methods and the flux tower data were mapped spatially, and these maps are included in the data release as well. The methods are fully described in the forthcoming article accepted for publication in Remote Sensing as of November 2017; this dataset will be updated with its full citation when available. See also the metadata file for additional information, or contact the authors with questions.

The high mobility of UAVs combined with a high level of autonomy

This NASA Innovative Research Grant activity conducts engineering analysis to demonstrate the feasibility and advantages of applying a breakthrough remote sensor calibration concept to a wide range of future NASA remote sensor science missions, e.g., PACE, GEO-CAPE, CLARREO, HySpIRI, GACM and Heliophysics research.

The instant remote sensing services market is experiencing robust growth, driven by increasing demand for real-time data across various sectors. The market's expansion is fueled by advancements in sensor technology, miniaturization, and the proliferation of high-speed data transmission capabilities. Applications span diverse fields, including precision agriculture (monitoring crop health, optimizing irrigation), environmental monitoring (tracking deforestation, pollution levels, natural disasters), infrastructure management (assessing bridge integrity, pipeline leaks), and urban planning (traffic flow analysis, urban heat island effect monitoring). The growing adoption of cloud computing and AI-powered analytics further enhances the value proposition of instant remote sensing, enabling faster processing and more insightful data interpretation. While the initial investment in hardware and software can be significant, the long-term operational cost savings and enhanced decision-making capabilities outweigh the initial expenses, driving market adoption. We project a substantial market expansion in the coming years. Specific market segments witnessing rapid growth include high-resolution imagery services and those tailored to specific industries, such as defense and security. The competitive landscape features both established players and emerging innovative companies. Established players, such as those mentioned, benefit from their technological expertise and existing customer base. However, newer entrants are disrupting the market through cost-effective solutions and niche application development. Geographic expansion is another key growth driver, with developing economies showing considerable potential. Challenges remain, including the need for regulatory frameworks concerning data privacy and security and ensuring the accessibility of this technology to a broader range of users. Overcoming these challenges through international collaboration and robust data governance will be crucial to fully realizing the potential of the instant remote sensing services market. We anticipate strong growth over the forecast period (2025-2033).

Remote sensing is a century-old conglomeration of technologies that because of recent advances and successes has become a standard operating technique in hydrocarbon exploration. Remote sensing's economies and proved advantages do not stop, however, with exploration well siting activities, a fact presently appreciated by too few producers. On major, international producer tried remote sensing for post-exploration activities, and now applies the technique in over 40% of its oil patch logistics work, alone. This article briefly describes four diverse case histories in successful post-exploration application of remote sensing, in order to stimulate readers to consider the technique for solving problems in their hydrocarbon activities domain.

The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by Geoimage Pty Ltd for NSW Government. The images were captured September 2021 through to March 2022. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through GeoImages Pty Ltd and Airbus Defence and Space.

SPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health.

Data products supplied for all of NSW are:

1. State-wide mosaic

2. 100k Mapsheet tiles (GDA94 and GDA2020)

3. Multi spectral scenes (GDA94 and GDA2020)

4. Pan sharpened scenes (GDA94 and GDA2020)

5. Panchromatic scenes (GDA94 and GDA2020)

6. Shapefile cutlines of statewide mosaic

The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file (456gb in size). Individual 100k mapsheet mosaics contain BGR+NIR band combination; unenhanced 16-bit GeoTIFF format tile.

The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.

The 4band 100k mapsheet tiles are available for download from JDAP. The rectified multispectral, pan sharpened and panchromatic scenes are available for download from JDAP (pending)

Acknowledgement when referencing: includes material © CNES_ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved

Contact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP

These image products are only available to other NSW Government agencies upon request.

Airborne UAV Remote Sensing Market Outlook

The global airborne UAV remote sensing market size was valued at approximately USD 3.5 billion in 2023 and is projected to reach around USD 12.4 billion by 2032, growing at a robust CAGR of 15.2% during the forecast period from 2024 to 2032. The market is witnessing considerable growth owing to the increasing adoption of UAVs (Unmanned Aerial Vehicles) in various applications such as agriculture, environmental monitoring, and urban planning. Factors such as technological advancements, the need for real-time data, and cost-effectiveness of UAV remote sensing over traditional methods are driving this growth. The increased investment in defense and surveillance by governments worldwide is also acting as a catalyst for market expansion.

One of the primary growth factors for the airborne UAV remote sensing market is the rapid technological advancements that have been witnessed in UAV technology. The continuous development in sensor technology and UAV design has significantly increased the efficiency and capabilities of remote sensing UAVs. These advancements have made it possible to capture high-resolution imagery and collect large amounts of data efficiently and accurately. Moreover, the development of sophisticated data analytics tools has enabled better data processing and interpretation, making UAV remote sensing a valuable tool for a wide array of industries. Furthermore, the integration of AI and machine learning into UAV systems has enhanced their autonomous capabilities, making them more reliable for long-term operations.

Another significant growth driver is the increasing demand for precision agriculture. Farmers and agricultural businesses are increasingly adopting UAV remote sensing technologies to monitor crop health, optimize irrigation, and manage resources more effectively. This demand is driven by the need to increase agricultural productivity and sustainability in response to the growing global population and food security challenges. UAV remote sensing offers the advantage of covering large areas quickly and providing detailed insights into crop conditions, enabling timely decision-making. This technology also has the potential to reduce costs associated with traditional methods of field monitoring and data collection.

The expanding use of UAVs in environmental monitoring and disaster management is also propelling market growth. UAV remote sensing provides a quick and cost-effective means to collect data in hard-to-reach or hazardous areas, making it ideal for monitoring environmental changes and assessing disaster impacts. Governments and environmental agencies are increasingly using UAVs to monitor deforestation, track wildlife, and manage natural resources. In disaster management, UAVs play a crucial role in search and rescue operations, damage assessment, and delivering aid to affected areas. The ability of UAVs to operate in challenging conditions and provide real-time data is critical for effective environmental and disaster management.

The role of Airborne Intelligence Surveillance & Reconnaissance (ISR) in the UAV remote sensing market cannot be overstated. As global security dynamics evolve, the demand for advanced ISR capabilities is becoming increasingly critical. UAVs equipped with sophisticated ISR systems provide unparalleled advantages in terms of real-time data collection and situational awareness. These systems are crucial for defense operations, enabling military forces to conduct surveillance and reconnaissance missions with high precision and efficiency. The integration of advanced sensors and communication technologies in ISR UAVs enhances their ability to gather intelligence, monitor activities, and assess threats, thereby strengthening national security measures.

Regionally, North America is leading the airborne UAV remote sensing market due to the high adoption rate of advanced technologies and significant investments in defense and surveillance. The presence of major UAV manufacturers and technology providers in the region also contributes to market growth. Meanwhile, the Asia Pacific region is expected to witness the fastest growth, driven by increasing government initiatives to support UAV adoption in agriculture and urban planning. The rapid urbanization and industrialization in countries like China and India are creating a demand for efficient and cost-effective remote sensing solutions. Additionally, increasing focus on environmental conservation and disaster management in the region is further driving the market.

The US satellite-based Earth observation market is experiencing robust growth, driven by increasing demand across diverse sectors. A compound annual growth rate (CAGR) of 10.25% from 2019 to 2024 suggests a significant market expansion. This growth is fueled by several key factors. Firstly, advancements in sensor technology are enabling higher-resolution imagery and more frequent data acquisition, leading to improved accuracy and timeliness in various applications. Secondly, the decreasing cost of launching and operating satellites makes this technology more accessible to a wider range of users. Government initiatives promoting environmental monitoring, infrastructure development, and precision agriculture are further stimulating market expansion. The integration of artificial intelligence (AI) and machine learning (ML) into data analysis pipelines enhances the value derived from satellite imagery, leading to the development of sophisticated applications for areas like urban planning, disaster response, and resource management. Segments such as Value Added Services and Earth Observation Data are experiencing rapid growth as companies increasingly seek ready-to-use insights rather than raw data. The Low Earth Orbit (LEO) segment is expected to maintain its dominance due to advantages in image resolution and data acquisition frequency. Major players like Airbus Defense and Space, Maxar Technologies, and Planet Labs are at the forefront of this growth, competing through technological innovation and strategic partnerships. Looking ahead to 2033, the US market is poised for continued expansion. While challenges such as regulatory hurdles and data security concerns remain, the overall outlook is positive. The increasing adoption of satellite-based Earth observation across various sectors, including agriculture (precision farming), energy (resource exploration), and climate services (environmental monitoring and weather forecasting), is driving growth. Furthermore, the integration of satellite data with other data sources, such as IoT sensors and geographic information systems (GIS), is unlocking new opportunities for data-driven decision-making across multiple industries. The North American region, particularly the US, is expected to maintain a significant market share due to substantial government investment and the presence of major technology companies. Specific growth within segments like agriculture and urban development will continue to be influenced by technological advancements and evolving regulatory frameworks, making for a dynamic and promising market landscape. Recent developments include: July 2024 - NASA will undertake six activities to meet the Earth observation satellite needs of U.S. Federal civilian agencies. These needs were identified through the 2022 Satellite Needs Working Group (SNWG) biennial survey of Federal agencies and represent high-profile needs for satellite Earth observation data. The SNWG is an initiative of the U.S. Group on Earth Observations (USGEO), which helps coordinate U.S. civilian satellite Earth observations. The SNWG Management Office (SNWG MO) at NASA's Interagency Implementation and Advanced Concepts Team (IMPACT) will oversee these activities., November 2023 - India and the US plan to introduce a new satellite for Earth observation called NASA-ISRO Synthetic Aperture Radar (NISAR) in the first quarter of the upcoming year. The S-band SAR from ISRO and L-band SAR from NASA were combined at JPL/NASA and are currently being tested in Bangalore by URSC in collaboration with NASA/JPL officials.. Key drivers for this market are: Use of Satellites for Advanced Environmental Monitoring, Technological Advancements in Satellite Development and Imagery. Potential restraints include: Use of Satellites for Advanced Environmental Monitoring, Technological Advancements in Satellite Development and Imagery. Notable trends are: Increasing Use of Satellites for Advanced Environmental Monitoring.

The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by the Remote Sensing and Regulatory Mapping NSW Government. The images were captured January 2015 through to May 2016. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through GeoImages Pty Ltd who partnered with Airbus Defence and Space. \r \r SPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health.\r \r Data products supplied for all of NSW are:\r \r 1. State-wide mosaic \r \r 2. Panchromatic scenes\r \r 3. Reflectance scenes \r \r \r The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file (456gb in size).\r \r The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.\r \r The rectified multispectral and panchromatic scenes are available for download from JDAP. \r \r Acknowledgement when referencing: includes material © CNES_ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved\r \r Contact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP \r \r These image products are only available to other NSW Government agencies upon request.\r

Along with the growing popularity of the small area estimation method, the need to utilize good auxiliary variables also increases. Remote sensing data, such as night light imagery, offers advantages such as time-cost efficiency and global coverage but is easily accessible. This research aims to implement night light intensity as an auxiliary variable for the EBLUP model to estimate per capita consumption expenditure at West Java in 2018. This research employs three scenarios of auxiliary variables usage in EBLUP model construction: official data, night light intensity, and the combination between both data. The results show that night light intensity is an efficient auxiliary variable for estimating per capita consumption expenditure. Furthermore, the EBLUP model with a combination of official data and night light as auxiliary variables gives the best accuracy with coefficient of variation (CV) as evaluation.

With the establishment of ceilometer networks by national weather services, a discussion commenced to which extent these simple backscatter lidars can be used for aerosol research. Though primarily designed for the detection of clouds it was shown that at least observations of the vertical structure of the boundary layer might be possible. However, an assessment of the potential of ceilometers for the quantitative retrieval of aerosol properties is still missing. In this paper we discuss different retrieval methods to derive the aerosol backscatter coefficient βp, with special focus on the calibration of the ceilometers. Different options based on forward and backward integration methods are compared with respect to their accuracy and applicability. It is shown that advanced lidar systems such as those being operated in the framework of the European Aerosol Research Lidar Network (EARLINET) are excellent tools for the calibration, and thus βp retrievals based on forward integration can readily be implemented and used for real-time applications. Furthermore, we discuss uncertainties introduced by incomplete overlap, the unknown lidar ratio, and water vapor absorption. The latter is relevant for the very large number of ceilometers operating in the spectral range around λ = 905–910 nm. The accuracy of the retrieved βp mainly depends on the accuracy of the calibration and the long-term stability of the ceilometer. Under favorable conditions, a relative error of βp on the order of 10% seems feasible. In the case of water vapor absorption, corrections assuming a realistic water vapor distribution and laser spectrum are indispensable; otherwise errors on the order of 20% could occur. From case studies it is shown that ceilometers can be used for the reliable detection of elevated aerosol layers below 5 km, and can contribute to the validation of chemistry transport models, e.g., the height of the boundary layer. However, the exploitation of ceilometer measurements is still in its infancy, so more studies are urgently needed to consolidate the present state of knowledge, which is based on a limited number of case studies.

Data required to rebuild the study: "TOM.D: Taking Advantage of Microclimate Data for Urban Building Energy Modeling". In this dataset of New York City, one can find building footprints, monthly energy consumption data for each of these buildings, and matching / cleaned microclimate data from a variety of data sources which are referenced in the work. Among them, thermal infrared measurements may be found, climate models from NOAA and ERA5 may be found, and preprocessed vision systems from Google are used.

The NSW SPOT6/7 imagery product is a state-wide satellite imagery product provided by the Remote Sensing and Regulatory Mapping NSW Government. The images were captured January 2015 through to May 2016. The imagery scenes used to create the NSW mosaic includes Lord Howe Island. This imagery data set has been acquired through GeoImages Pty Ltd who partnered with Airbus Defence and Space.

SPOT imagery products offer high resolution over broad areas using the SPOT 6/7 satellites. A SPOT satellite acquisition covers large areas in a single pass at resolutions up to 1.5m. Such precise coverage is ideal for applications at national and regional scales from 1:250,000 to 1:15,000. SPOT 6/7 also includes the benefits of the near-infrared (NIR) which enables applications for detection of features not visible to the human eye, such as detecting and monitoring vegetation health.

Data products supplied for all of NSW are:

1. State-wide mosaic

2. Panchromatic scenes

3. Reflectance scenes

The statewide mosaic is provided as a Red Green Blue (RGB) band combination; contrast enhanced lossless 8-bit JPEG2000 file (456gb in size).

The NSW mosaic is available from internal DPE APOLLO Image Webserver for DCCEEW employees.

The rectified multispectral and panchromatic scenes are available for download from JDAP.

Acknowledgement when referencing: includes material © CNES_ (year of production), Distribution Airbus Services/SPOT Image, S.A, France, all rights reserved

Contact spatial.imagery@environment.nsw.gov.au for further information or to request access to JDAP

These image products are only available to other NSW Government agencies upon request.