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Posts Tagged ‘IFSAR’

Precision and Accuracy

Thursday, August 26th, 2010

As a key player in the map-making business, Fugro is always engaged in discussions about precision, accuracy, and reliability standards within the geospatial marketplace. Fugro’s GeoSAR system has unique features that ensure quality standards are always met. These features include 4-look acquisition data redundancy as a primary feature of the GeoSAR dual-sided radar configuration, its large side overlap on adjacent flight lines, and its profiling LiDAR. As discussed in our previous “Ground Control” blog post on ground control on the fly.

Let’s first discuss what these quality terms mean in relation to GeoSAR. Accuracy is an absolute term, describing how close the estimated elevation (or position) at a given point is to the true elevation (or position) of that point. Precision is a relative term, describing the quality of the height difference between two points. Reliability is the ability to detect and correct measurement errors, which depends highly on the redundancy of the measurements.

For example, imagine using an old tape measure with 1/8” markings to measure the height of a table at all four corners. Suppose that the measurements are 30-2/8”, 30-1/8”, 29-7/8”, and 30-1/8” – or equivalent to an average of 30-1/8” with a precision of 1/8”. Suddenly, you discover you are off by an inch. That is accuracy. The measurements were inaccurate by about 1”. This example shows that measurements can be very precise, but not necessarily accurate, or they can be accurate, but not precise.

To prevent such errors, the GeoSAR system uses a calibration campaign to resolve systematic errors using precisely surveyed corner reflectors at known locations on a calibration site. A corner reflector is to radar what a benchmark is to photogrammetry—it provides a very precise geospatial correspondence between a radar point and a {X, Y, Z} location on the ground. This is done to ensure the GeoSAR measurements are accurate.

The precision of GeoSAR, or airborne IFSAR, depends on factors such as the aircraft altitude, amount of turbulence, the separation between flight lines, terrain slope, moisture, and other factors. In typical situations, airborne IFSAR is able to measure terrain elevation and geoposition at meter level precision. The accuracy of GeoSAR products depend on a variety of key factors, including the GPS position of the aircraft, the quality of ground control, and the accuracy of the geoid. Similar to GPS, Fugro GeoSAR elevations are measured in ellipsoidal heights and converted to orthometric heights using a geoid model. The more accurate the geoid model, the more accurate the GeoSAR orthometric height will be.

Understanding and applying these key factors is what separates Fugro’s GeoSAR services and products from other service providers. Stay tuned next week when we discuss Resolution and Posting. If you would like to continue this discussion or would like more information, please leave a comment!

GeoSAR Graces the Cover of PE&RS

Tuesday, July 13th, 2010

GeoSAR will be gracing the cover of PE&RS this month which will be distributed at the ESRI International User Conference July 12th- 16th in San Diego, CA. Be sure to pick up your copy, view the cover, and read the feature article “Topographic Mapping Using IFSAR Data in a 3D Desktop GIS Environment” written by: L.G. (Jake) Jenkins and Larry Lund.

blog

The cover image represents a Digital Elevation Model generated from GeoSAR’s P-band radar overlaid with X and P-band orthorectified images, all in the ChromaDepth® color scheme. The orthorectified images were filtered to increase homogeneity, reduce speckling and remove artifacts. Waterways were flattened and rendered monotonic. The final images were composed into the scene using ESRI®’s ArcGIS software using a custom color pallet that allows the cooler colors to recede and warmer colors to advance on the eye when viewed using the ChromaDepth® 3-D glasses.

GeoSAR’s X and P-band orthorectified images are arranged split screen to highlight features such as terrain, agricultural fields and mangroves. P-band is located in the upper left as the X-band is located in the lower right. P-band highlights features associated with human settlements such as agricultural fields, irrigation channels, roadways and buildings, even those that may be hidden below the vegetation, whereas the mangroves appear brighter in the X-band imagery because they scatter more of the radar energy back.

GeoSAR is the world’s only dual-band, single-pass airborne interferometric SAR system. Penetrating clouds and foliage, GeoSAR simultaneously maps surface features (using x-band) and near bare-earth elevation (using P-band), making it particularly well suited for equatorial mapping.

GeoSAR 101 Crossword

Friday, April 16th, 2010

This week we decided to have fun with our GeoSAR blog readers! All the answers to the crossword below can be found within the GeoSAR website and/or previous GeoSAR blogs. Good Luck! Answers will be posted next week. Please click on the link below to download the puzzle and clues! For any questions or hints please feel free to write to info@geosar.com.

GeoSAR Crossword Puzzle

PurVIEW Expands the GeoSAR User Experience

Monday, February 8th, 2010

In our last post, we wrote about the release of the updated FugroViewer software. This week, the software news continues. As you may have seen in our recent news release, Fugro EarthData and ESRI Canada announced a strategic partnership and global distribution agreement related to ESRI’s PurVIEW mapping software. Why are we talking about it in this blog? Because the implications of this relationship to GeoSAR users is pretty big.

Over the past year, Fugro EarthData and ESRI Canada have worked to modify the PurVIEW software to accommodate use of dual-band IFSAR data. That means users now have a tool that enables them to photogrammetrically capture accurate 3D geospatial information from GeoSAR data (roads, hydrography, cultural features, etc.) directly into their GIS database, as an ArcGIS extension. In a nutshell, it takes “radargrammetry” to a whole new level; no translations, no missing attributes, all native ESRI formats.

We’ve written before about the importance of technology transfer–putting the full power of the data and its potential into the hands of GeoSAR users. PurVIEW exemplifies our commitment to this notion. Within days of the original announcement, we received numerous requests from GeoSAR customers interested in learning more. The demos are lining up!

If you are among those interested, send us an email: info@geosar.com. You can also learn more about PurVIEW at ESRI Canada’s website. We’ll also be on hand at the ESRI Federal User Conference later this month, so look for us there.

The New FugroViewer

Wednesday, January 20th, 2010

Welcome back to On the Radar Screen! As our first entry in 2010, we wanted to spread the word about upgrades to Fugro’s 3D viewing software, FugroViewer. While FugroViewer is a standard deliverable on all GeoSAR projects, it’s also available to anyone (for free!) at www.fugroviewer.com.

FugroViewer

The software was originally released in January 2009 as a tool for technical and non-technical users to view, analyze, and communicate 3D geospatial data. It’s been a big hit. Designed for use with photogrammetric, LiDAR, and IFSAR data, FugroViewer now has hundreds of users in business, government, and university settings.

Upgrades to the new version include: enhanced memory management, additional LiDAR format support (including LAS version 2), additional image format support (including ERDAS Imagine).

Give it a try and let us know what you think!

Remote Sensing and Climate Change Part III: The COP-15 Recap

Wednesday, December 23rd, 2009

As the last entry in our series about remote sensing and climate change, we offer a rundown on COP-15. Overall, the meeting did not deliver on most of the major aims:

– No deadline for a legally-binding agreement
– No greenhouse gas emissions reduction targets for 2020
– No goal for reducing global emissions by 2050
– No deadline for global greenhouse emissions to reach their peak
– No mention of aviation and shipping (specific sectoral agreement)

But that’s not to say COP-15 was a failure. There was some progress on monitoring, reporting, and verification; REDD; financing; and technology transfer. Details on each of these topics follow.

Monitoring, reporting, and verification: China, India, and other developing nations are to publish their emissions curbing commitments in annexes to a new global agreement. They would then communicate progress to those goals according to internationally agreed upon standards.

REDD: On deforestation, there should be the “immediate establishment of a mechanism, including REDD-plus” to mobilize capital from developed countries for “reducing emissions from deforestation and forest degradation” and enhancing “removals of greenhouse gas emission by forests”.

Financing: Developed countries are to “support a goal of mobilizing jointly 100 billion dollars a year by 2020 to address the needs of developing countries”. This funding will come from a wide variety of sources, public and private, bilateral and multilateral, including alternative sources of finance. There will also be 30 billion dollars made available over the 3-year period of 2010 to 2012, balanced between climate change adaptation and emissions mitigation. Further, a new UN Framework Convention on Climate Change mechanism called the Copenhagen Green Climate Fund will be established to support funded “projects, programs, and policies” on mitigation, REDD-plus, adaptation, capacity building, technology development and transfer.

Technology transfer: A new technology mechanism will also be established to further accelerate technology development and transfer under a country-by-country approach. (This is in contrast to the existing CDM which takes a project-based approach.)

So what does this mean for remote sensing? Without a binding agreement, it may still be too early to tell. But cautiously speaking, it appears we are headed down a path where REDD (or REDD-plus) will be properly funded, which means the remote sensing technologies we discussed last week will be used to help measure and monitor forest carbon.

This, along with the emphasis on technology transfer holds real promise. By increasing the number of users skilled in the science and application of geospatial data, climate change policy can impact countless other areas of a developing nation’s existence, from infrastructure planning to emergency response to economic development. Now that’s something to be optimistic about in the New Year.

Remote Sensing and Climate Change Part II: Making REDD Work

Friday, December 18th, 2009

As heads of state and other government leaders enter the final rounds of the COP-15 climate change talks, many key issues remain unresolved. The target rate of emissions reductions by wealthy nations, the amount of aid to poor nations, and monitoring compliance are at the crux of the slow-moving negotiations.

It’s the monitoring piece where geospatial comes into play. As addressed in our last entry about the REDD initiative, several remote sensing methodologies can contribute to large-area forest carbon measurement and monitoring, each with unique benefits. This week we are taking a closer look, reviewing the top-three technologies and briefly exploring their strengths and weaknesses:

Optical imaging: Offering low-cost, repeat coverage acquisition over large project areas, satellite-based hyperspectral and multispectral imagery has shown some potential for biomass estimation. Systems with sophisticated scheduling enable around 70 percent cloud-free coverage in equatorial regions, thereby reducing weather obstacles. And while satellite is proving a good source for monitoring REDD sites in Brazil, it alone isn’t a good source for carbon measurement. For that, you need tree height data and optical imagery provides only canopy-level information.

LiDAR mapping: Foresters have long used LiDAR systems to measure forest canopy and vertical structures. As an active sensor, airborne LiDAR data can be acquired night or day, providing very dense and accurate datasets. The downside to this approach is the high cost of acquisition and processing over large areas. Satellite-based LiDAR systems may help control these costs with wide area coverage and automated processing capabilities. The Geoscience Laser Altimeter System (GLAS) on NASA’s Ice, Cloud, and Land Elevation Satellite (ICESat) is one such example. Some studies show promising results, though clouds are an issue, and so is a general lack of ground height data. So, again, LiDAR may be a technology best suited for monitoring practices.

IFSAR mapping: Low frequency, long bandwidth IFSAR is an all-weather technology that provides high foliage penetration for near bare-earth elevation data, even in dense forests. When combined with higher frequency, short bandwidth IFSAR (which provides elevations of top surfaces), it is possible to detect the heights of individual trees within a forest. That’s the beauty of GeoSAR; it offers both views of the forest simultaneously and can also be used to identify forest type. This data, combined with biomass information on individual tree species, enables efficient and accurate forest carbon content estimations.

But GeoSAR isn’t a silver bullet. Given the relative high cost of airborne acquisitions in comparison to satellite sensors, IFSAR isn’t an ideal monitoring solution. It’s role is to provide accurate baseline information from which REDD programs can be evaluated.

Fugro EarthData published an article about using dual-band IFSAR for carbon accounting in the July issue of PE&RS. It’s a good source of information about remote sensing and climate change monitoring. And, if you want to catch the latest on COP-15, here’s a live web cast of the proceedings.

Next week: COP-15 wrap-up and its implications for remote sensing. Check back then!

Remote Sensing and Climate Change Part 1: Forest Carbon Monitoring in Support of REDD

Friday, December 4th, 2009

timber-truck

This week, we are kicking off a blog series on remote sensing and climate change, a timely topic given the upcoming United Nations Climate Change Conference (COP-15) later this month. The first topic of discussion: carbon accounting.

In addition to reducing greenhouse gas emissions, many experts agree that managing the world’s terrestrial carbon is critical to addressing the problem of climate change. Doing so will require first measuring and then monitoring carbon levels found within the world’s trees, soils, and peat. Carbon accounting of tropical forests is deemed especially important since they comprise the world’s largest natural filter of CO2 emissions.

Of course, for developing nations, where the majority of tropical forests reside, these forests provide a major source of economic development. Keeping these forests intact is the goal of the United Nation’s Collaborative Program on Reducing Emissions from Deforestation and Forest Degradation in Developing Countries (REDD).

At the most basic level, REDD seeks to generate a new financing stream for sustainable forest management in developing countries, providing monetary incentives for conservation over development. A plan initiated by British Prime Minister Gordon Brown last weekend may give a jumpstart to this concept.

Looking ahead to COP-15, Brown proposed a ÂŁ10 billion fund, backed by wealthy nations, to assist developing nations in battling climate change. The funding proposed by Brown would go toward developing low-carbon energy sources, managing the effects of a warming climate, and halting deforestation. As part of this plan, Brown called for an international satellite monitoring system to measure compliance with the program.

And while Brown’s plan provides a step in the right direction when it comes to REDD, it may well oversimplify the solution. Is satellite technology the sole answer? Definitely not. There are a wide range of optical, LiDAR, and IFSAR sensors—airborne, as well as satellite—that offer a variety resolutions and data products to support tropical forest monitoring efforts. Each sensor-type has both benefits and drawbacks, but combined with in situ technologies, can be used to create very accurate maps to meet the goal of improved carbon management.

Next week, we’ll dig into the specifics of those technologies, so be sure to check back then. In the meantime, feel free to continue the conversation. Do you see forest carbon monitoring as an essential role to halting climate change? Have you been involved in any such research? What were the results?

Remote Sensing and Climate Change: Introducing a Three-Part Series

Friday, November 20th, 2009

COP-15

Next month, leaders from 193 countries will meet in Copenhagen to participate in the United Nations Climate Change Conference of Parties (COP-15). There’s a lot of attention on this year’s meeting as participants work to craft an ambitious global climate agreement that will begin in 2012 when the first commitment period under the Kyoto Protocol expires. Whether there is enough support to bring about a binding agreement at COP-15 is doubtful, however. Recent statements from the United States and elsewhere indicate there are still too many questions yet to be resolved. Even so, many see the conference as an ideal place to tackle the issues of “burden sharing” and related concerns so that an agreement can be signed in 2010, if not 2009.

So what has this got to do with a geospatial blog? Quite a lot, actually. A quick visit to the “Methods & Science” section of the UN Conference on Climate Change website shows several areas where remote sensing technologies will play an important role in the developing carbon market. Most notable is REDD, short for “reducing emissions from deforestation and forest degradation in developing countries”. We’ve written about REDD before on this blog, and we’ll be paying more attention to it in the coming weeks as we begin a three-part series on climate change leading up to COP-15.

Topics in our series will include geospatial capabilities for carbon monitoring, with an emphasis on radar; legislation that will impact climate change policy both in the United States and abroad; and the push for REDD approval.

We hope you’ll log on and contribute to the discussion, which will be facilitated by GeoSAR Client Program Manager, Caroline Tyra, our resident expert in all things carbon. If there is a climate change topic not mentioned here, that you’d like us to address, let us know and we’ll be sure to tackle it.

Nobel Prizes: A Win for Geospatial

Friday, October 16th, 2009

This year’s Nobel Prizes are getting a lot of attention. Who hasn’t yet heard the controversy surrounding President Obama’s award of the Peace Prize? You would have to be on a desert island to miss the continuing coverage.

On the science front, the awards are much more straightforward. The Nobel Prize in Physics was awarded to three men whose work in the 1960s made a huge impact on the geospatial industry today. Dr. Charles Kao won for his pioneering role in fiber optic telecommunications. Without his efforts there would have been no internet boom, no online mapping craze, no words being written and read on this blog.

The other two winners, Mr. Willard Boyle and Mr. George Smith, were honored for their creation of the charged-couple device (CCD) in 1969. This technology became the basis for today’s digital cameras, as well as those very high-tech imaging sensors used on satellites and aircraft to map and monitor the Earth’s surface.

Three cheers for these fine contributions and for the committee’s recognition of their importance. The awards are questionable neither in worthiness nor in timing.

Perhaps radar achievements will be recognized next!