The growth of cracks in the ice is apparent in the following two images. They're both satellite images of the same area, taken 33 years apart. The top image is from January 1986. The bottom image is from January 2019.
The GPSMAP 66i comes loaded with Garmin TopoActive (100k) maps and also comes with a (free) subscription to Garmin Birdseye imagery (satellite photos). These maps are routable and include decent trail coverage, much better than they were just a few years ago. But TopoActive maps definitely don't include all the trails that are out there. The preloaded map also includes thousands of points-of-interest like campgrounds, geographic features, restaurants, etc.
I used the Birdseye maps in the field a few times to see what they were like and satellite imagery just isn't great on a small screen like this. Satellite imagery is much better when planning, and if you're planning, I found the Google satellite photos to be a much higher resolution and more up to date. And if you use a tool like CalTopo, you can even download recent satellite photos to get current conditions.
Great review Ray. The satellite imagery mapping looks amazing. Wish garmin would make these units at the least WiFi ready so you could just DL maps and updates. Heck give us a browser and we can get full internet access.
Chiribiquete National Natural Park lost more than 1,000 hectares (2,500 acres) in the last six months, in six different areas of the park (see Base Map above). Much of this deforestation appears to be associated with the conversion of primary forest to illegal cattle pasture. The following satellite images show deforestation in three of these areas (A-C) between September 2020 (left panel) and February 2021 (right panel). *It is important to note that immediately prior to this publication authorities carried out a major intervention to crack down on the illegal activity within the park (see news here).
Maxar Technologies, which makes satellites for geospatial imagery and intelligence but also offers software and analytics, saw the bottom fall out in late 2018 and early 2019 when an accumulation of bad news took the stock from $70.00 to a sad $6.00 per share.
But by 2020, Maxar had turned a corner. The company sold off MDA, the Canadian space robotics and radar systems branch of the company, to relieve some debt. That move left Maxar with its DigitalGlobe business as its main engine, a US satellite imagery provider. Maxar began to post stronger quarterly earnings, aided by its SecureWatch geospatial subscription service, which started pulling in more customers as the demand for monitoring and mapping capabilities rose.
I have stood on glaciers in Alaska, looked into their impossible blue depths, witnessed their calving and heard their magical, cracking song. Flying over the glacial coastline between Anchorage and Juneau, with its undulating crystalline rivers of ice, snow, rock and sediment, inspired a series of aerial portraits of glaciers around the world. Each is a portrait of a particular glacier or glacial area done from Nasa satellite images.
Hummingbird uses all three remote sensing technologies, drone imagery, aerial imagery, and satellite imagery combined with weather and soil data, and processed using artificial intelligence and machine learning capabilities plus plant pathology, to make yield predictions, manage nitrogen levels, and diagnose disease in crops including soybeans, oilseed rape, cereals, sugarbeets, peas, and potatoes. These recommendations can help farms mitigate disease, optimize yield, and apply fertilizer in a more efficient way.
New Delhi, India's capital city, is currently suffering though a period of particularly poor air quality. In early November 2016, monitors at various locations in the area posted air quality index measurements as high as the 900s (the most severe ranking, "hazardous," is any air quality index measurement over 300). Thousands of schools have been closed, and a survey by the Associate Chambers of Commerce and Industry of India reports that 10 percent of the city's workers called in sick due to air-pollution-related health issues. According to several published news reports, the extreme air pollution may be due to a combination of nearby agricultural burning after harvest, urban construction and solid-waste burning, as well as remnants of firecracker smoke and additional car emissions after the celebration of Diwali, the Hindu festival of lights, on October 30. The Multi-angle Imaging SpectroRadiometer (MISR) instrument aboard NASA's Terra satellite passed over the region on Saturday, Nov. 5, 2016, at around 11:05 a.m. local time. At left is an image acquired from MISR's vertical viewing camera. The Himalayas stretch across the northern portion of the image. This towering mountain range tends to concentrate pollution in the region immediately to the south, including New Delhi, by preventing pollutants from blowing northwards. New Delhi, whose location is indicated on the image, is under a patch of especially thick haze. At 6:00 a.m. local time on that date, the U.S. Mission India NowCast Air Quality Index for New Delhi was reported at 751, more than twice the threshold for hazardous air quality. At right, a map of aerosol optical depth is superimposed on the image. Optical depth is a quantitative measure of the abundance of aerosols (tiny particles in the atmosphere). Optical depths for the area around New Delhi have not been calculated because the haze is so thick that the algorithm has classified the area as a cloud. In the region immediately surrounding the thick
TerraLook is a joint project of the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL) with a goal of providing satellite images that anyone can use to see changes in the Earth's surface over time. Each TerraLook product is a user-specified collection of satellite images selected from imagery archived at the USGS Earth Resources Observation and Science (EROS) Center. Images are bundled with standards-compliant metadata, a world file, and an outline of each image's ground footprint, enabling their use in geographic information systems (GIS), image processing software, and Web mapping applications. TerraLook images are available through the USGS Global Visualization Viewer ( ).
Instruments aboard the Joint Polar Satellite System (JPSS) series of satellites will provide imagery and other data sets relevant to operational weather forecasts. To prepare current and future weather forecasters in application of these data sets, Proving Ground activities have been established that demonstrate future JPSS capabilities through use of similar sensors aboard NASA's Terra and Aqua satellites, and the S-NPP mission. As part of these efforts, NASA's Short-term Prediction Research and Transition (SPoRT) Center in Huntsville, Alabama partners with near real-time providers of S-NPP products (e.g., NASA, UW/CIMSS, UAF/GINA, etc.) to demonstrate future capabilities of JPSS. This includes training materials and product distribution of multi-spectral false color composites of the visible, near-infrared, and infrared bands of MODIS and VIIRS. These are designed to highlight phenomena of interest to help forecasters digest the multispectral data provided by the VIIRS sensor. In addition, forecasters have been trained on the use of the VIIRS day-night band, which provides imagery of moonlit clouds, surface, and lights emitted by human activities. Hyperspectral information from the S-NPP/CrIS instrument provides thermodynamic profiles that aid in the detection of extremely cold air aloft, helping to map specific aviation hazards at high latitudes. Hyperspectral data also support the estimation of ozone concentration, which can highlight the presence of much drier stratospheric air, and map its interaction with mid-latitude or tropical cyclones to improve predictions of their strengthening or decay. Proving Ground activities are reviewed, including training materials and methods that have been provided to forecasters, and forecaster feedback on these products that has been acquired through formal, detailed assessment of their applicability to a given forecast threat or task. Future opportunities for collaborations around the delivery of training are proposed
The instruments onboard the Terra spacecraft were designed for long-term Earth science research but not long after launch it became apparent that this data and imagery could be made available in near real-time for applications users. During the year 2000 fire season in the western United States, the US Forest Service approached NASA with a request to expedite MODIS fire detections. The Rapid Response system was created to generate fire detections as well as true color imagery in both swath and geo-referenced formats. This imagery was used by a wide variety of applications, such as NASA's AERONET program, the USDA Foreign Agricultural Service, Antarctic resupply shipping, flood mapping for relief agencies, Deepwater Horizon monitoring, volcanic ash monitoring, as well as print, televised, and Internet media. From 2004, the University of Maryland's Web Fire Mapper helped distribute fire detection information in a variety of formats. However, the applications community expressed the need for near-real time access to the underlying data. This requirement led to the development of the Land Atmosphere Near real-time Capability for EOS (Earth Observing System) (LANCE) in 2009. To achieve the latency requirements, many components of the EOS satellite operations, ground and science processing systems had to be made more efficient. In addition, products that require ancillary data were modified to use alternate inputs. Forty Terra MODIS data products are currently available from LANCE. LANCE also includes data from other instruments including AIRS, AMSR-E, MLS, and OMI. To help near-real time users navigate this large data offering, a new imagery service was begun in 2011 - Global Imagery Browse Services (GIBS). This service provides very responsive viewing using the Web Map Tile Service protocol. These programs will continue to support and expand the use of Terra data for near-real time applications well into the future. 2b1af7f3a8