April 03, 2013
Last week Landsat 8/LDCM sent back its first image, showing the meeting of the Great Plains with the Front Ranges of the Rocky Mountains in Wyoming and Colorado. The image showcases the satellite's nine spectral bands, which include three visible light bands, two near-infrared bands, and two shortwave infrared (SWIR) bands, among others, as well as two thermal sensors.
Landsat 8/LDCM is the most advanced Earth observation satellite to date. It is the eighth Landsat since the initial launch in 1972.
Fort Collins, CO area. Natural color image created using data from OLI spectral bands 2 (blue), 3 (green), and 4 (red) on Landsat 8/LDCM.
Fort Collins, CO area. Image created using data from OLI bands 3 (green), 5 (near infrared), and 7 (short wave infrared 2) on Landsat 8/LDCM. Credit: USGS/NASA Earth Observatory
Landsat 8/LDCM will circle the Earth every 99 minutes and cover the entire globe every 16 days, beaming 400 high resolution images to ground stations every 24 hours. The images, which are freely distributed, are used for a wide range of applications, including efforts to monitor environmental change, detect fires, and watch crops. Google is one of the biggest commercial users of Landsat images, which feed into Google Earth, but other users include scientists and conservationists involved in tracking deforestation and forest degradation. Accordingly, the new satellite was welcomed by members of the conservation community.
"Landsat 8 is a much anticipated and critically needed satellite for Earth resource mapping, monitoring and analysis," Greg Asner, a senior scientist at the Carnegie Institution for Science's Department of Global Ecology, told mongabay.com. "Nearly every country serious about deforestation monitoring uses the Landsat series, which are made available for free by the U.S. government.
Asner, who leads a team that developed advanced deforestation monitoring platforms known as Carnegie Landsat Analysis System (CLAS) and CLASlite, says the new system marks a sharp improvement over the recently-failed Landsat 5 and Landsat 7, which suffers from partial data loss due a 2003 sensor failure.
"Of course, our Carnegie Landsat Analysis System (CLAS) and CLASlite - the mostly widely disseminated forest change mapping software in the world -- will fully support Landsat 8, just as it has for the previous Landsat instruments," he said. "I am really looking forward to helping the community continue to use Landsat data for conservation and management of tropical forests."
Landsat image showing conversion of Amazon rainforest for large-scale soy farms in Bolivia in the early 2000's
Christopher Potter, a researcher at NASA-Ames Research Center, added that Landsat 8 will provide critical continuity in forest monitoring efforts.
“Images from Landsat 8 will provide the ongoing capability to monitor land cover change around the world by extending the 30+ year historical record of Landsat 5 and 7," Potter told mongabay.com. "Continuity of high-quality data make Landsat unique for tracking forest conservation efforts."
Conservationists say they intend to use imagery captured by Landsat to monitor forest cover in near-real time, potentially enabling authorities to take action against illegal deforesters. In the past, Landsat images have provided an important baseline for tracking land use change over time, including the expansion of oil palm plantations in Malaysia and Indonesia, conversion of rainforests for industrial timber production in Sumatra, selective logging of rainforests in Peru, and deforestation for soy farms and cattle ranches in the Brazilian Amazon.
Landsat data can also help forest conservation projects under the proposed Reducing Emissions from Deforestation and Forest Degradation (REDD+) quantify reductions in carbon emissions, potentially generating cash for forest-dependent communities and project developers.
"Without question, Landsat 8 is the most important new satellite of this century for monitoring land cover change," said Asner. "No other satellites, other than previous Landsat systems, have proven to be as accurate for tropical deforestation and forest degradation monitoring as Landsat 8 will prove to be in the coming years."
Deforestation along roads in the Brazilian Amazon, captured in 2006.
Clearing for oil palm plantations in Sarawak, Malaysian Borneo, in 2006.
Logging in Borneo in 2006.
Deforestation in the Brazilian Amazon.
Rainforest flooded by a dam in Brazil.
Clearing for cattle pasture in the Amazon.
Forest clearing in Brazil.
Breakthrough technology enables 3D mapping of rainforests, tree by tree
(10/24/2011) High above the Amazon rainforest in Peru, a team of scientists and technicians is conducting an ambitious experiment: a biological survey of a never-before-explored tract of remote and inaccessible cloud forest. They are doing so using an advanced system that enables them to map the three-dimensional physical structure of the forest as well as its chemical and optical properties. The scientists hope to determine not only what species may lie below but also how the ecosystem is responding to last year's drought—the worst ever recorded in the Amazon—as well as help Peru develop a better mechanism for monitoring deforestation and degradation.
How satellites are used in conservation
(04/13/2009) In October 2008 scientists with the Royal Botanical Garden at Kew discovered a host of previously unknown species in a remote highland forest in Mozambique. The find was no accident: three years earlier, conservationist Julian Bayliss identified the site—Mount Mabu—using Google Earth, a tool that’s rapidly becoming a critical part of conservation efforts around the world. As the discovery in Mozambique suggests, remote sensing is being used for a bewildering array of applications, from monitoring sea ice to detecting deforestation to tracking wildlife. The number of uses grows as the technology matures and becomes more widely available. Google Earth may represent a critical point, bringing the power of remote sensing to the masses and allowing anyone with an Internet connection to attach data to a geographic representation of Earth.