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Pix4D - Turns Thousands of 2D Photos into 3D Images

New EPFL spin-off Pix4D generates 3D images from simple snapshots and drones using cloud computing and takes time into account as well.
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ERDAS TITAN Network Overview

The ERDAS TITAN Network enables users and organizations to publish geospatial data and location-based content, to communicate with one another, to search for...
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Práctica 1: Introducción a ERDAS, despliegue y composición de color en imagenes LandSat

El vídeo muestra los pasos de la actividad práctica desarrollada en la segunda sesión del curso Teledetección de la Escuela de Ciencias Geográficas-Universid...
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Which remote sensing satellite is best used for vegetation extent mapping - GIS

Which remote sensing satellite is best used for vegetation extent mapping - GIS | Remote Sensing News | Scoop.it

I'm currently writing an assignment for my remote sensing class and while I think I have correct answer was wondering what people who do this stuff for a living think.

The question is: which satilite out the Landsat TM (Thematic Mapper) and SPOT 5 would you use to map general extent of a 300km x 300km study area.

My answer was that you would use the SPOT 5 as it is higher resolution and would let you get a finer extent vs the 30m resolution of the Landsat TM. However the SPOT 5 has a small swath area so you have to use more images. I also thought about the 2200km VMI swath on the SPOT 5 but the resolution is 1km.......

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Pesquisa Agropecuária Brasileira - Estimativa de áreas de cultivo de soja por meio de dados Modis/Evi

Pesquisa Agropecuária Brasileira - Estimativa de áreas de cultivo de soja por meio de dados Modis/Evi | Remote Sensing News | Scoop.it

The objective of this work was to develop a procedure to estimate soybean crop areas in Rio Grande do Sul state, Brazil. Estimations were made based on the temporal profiles of the enhanced vegetation index (Evi) calculated from moderate resolution imaging spectroradiometer (Modis) images. The methodology developed for soybean classification was named Modis crop detection algorithm (MCDA). The MCDA provides soybean area estimates in December (first forecast), using images from the sowing period, and March (second forecast), using images from the sowing and maximum crop development periods. The results obtained by the MCDA were compared with the official estimates on soybean area of the Instituto Brasileiro de Geografia e Estatística. The coefficients of determination ranged from 0.91 to 0.95, indicating good agreement between the estimates. For the 2000/2001 crop year, the MCDA soybean crop map was evaluated using a soybean crop map derived from Landsat images, and the overall map accuracy was approximately 82%, with similar commission and omission errors. The MCDA was able to estimate soybean crop areas in Rio Grande do Sul State and to generate an annual thematic map with the geographic position of the soybean fields. The soybean crop area estimates by the MCDA are in good agreement with the official agricultural statistics.....

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Image of the Day: Satellite View of Receding Dead Sea, 1972, 1989, and 2011

Image of the Day: Satellite View of Receding Dead Sea, 1972, 1989, and 2011 | Remote Sensing News | Scoop.it
The Dead Sea is so named because its high salinity discourages the growth of fish, plants, and other wildlife. This salt lake resides in a depression in the Earth's crust, where the continents of Africa and Asia are pulling away from each other. It has pulled in visitors and industries for thousands of years.

The Dead Sea is the lowest surface feature on Earth, sitting roughly 1,300 feet (400 meters) below sea level. On a hot, dry summer day, the water level can drop as much as one inch (two to three centimeters) because of evaporation.

The false-color images above were captured by the Landsat 1, 4, and 7 satellites. The Multispectral Scanner System on Landsat 1 acquired the top image on September 15, 1972. The middle image was acquired on August 27, 1989, by the Thematic Mapper on Landsat 4. The third image is from the Enhanced Thematic Mapper Plus on Landsat 7 on October 11, 2011......

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Remote Sensing | Free Full-Text | Landsat-TM-Based Discrimination of Lithological Units Associated with the Purtuniq Ophiolite, Quebec, Canada

In order to better constrain the utility of multispectral datasets in the characterization of surface materials, Landsat Thematic Mapper (TM) data were evaluated in the discrimination of geological classes in the Cape Smith Belt of Quebec, a greenstone belt that hosts Early Proterozoic units including those of the Purtuniq ophiolite. Ground-based measurements collected for the study area highlight the importance of chemical alteration in controlling the reflectance properties of key geological classes. The spatial distribution of exposed lithologies in the study area was determined through (1) image classification using a feedforward backpropagation neural network classifier; and (2) generation of fraction images for spectral end members using a linear unmixing algorithm and ground reflectance data. Despite some shortcomings, the database of surface cover generated by the neural network classifier is a useful representation of the spatial distribution of exposed geological materials in the study area, with an overall agreement with ground truth of 87.7%. In contrast, the fraction images generated through unmixing are poor representations of ground truth for several key lithological classes. These results underscore both the considerable utility and marked limitations of Landsat TM data in the mapping of igneous and metamorphic lithologies.....

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OpenStreetMap in ERDAS IMAGINE 2011

How to add OpenStreetMap as a custom base map in ERDAS IMAGINE 2011...
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ArcGIS 10: Image Analysis - Recorte de Imagem

ArcGIS 10: Image Analysis - Recorte de Imagem | Remote Sensing News | Scoop.it

Recursos para equalização, brilho/contraste, fusão de imagens e muitos outros estão presentes no ArcMap 10 e podem ser acessados através da janela Image Analysis. Ao executar uma tarefa, o SIG armazena o resultado através de um arquivo temporário na janela Table of Contents. Se o resultado não for o esperado, o usuário poderá executar o processo novamente. Para novos usuários do ArcGIS, essa ferramenta pode ser extremamente útil.....

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Satellite Image of Pearl and Hermes Atoll in Hawaii

Satellite Image of Pearl and Hermes Atoll in Hawaii | Remote Sensing News | Scoop.it
QuickBird (0.6m) Satellite Image of Pearl and Hermes Atoll, Hawaii Click on image to view in high resolution. (Copyright© DigitalGlobe and Courtesy of Satellite Imaging Corporation. All Rights Res...
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Enhancing the Use of Python in GIS and Remote Sensing

This abstract outlines the development of a geographic information systems (GIS) Programming and Remote Sensing course at American River College using Python an...
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The Future of Earth Observation | GIS Industry News

The Future of Earth Observation | GIS Industry News | Remote Sensing News | Scoop.it
A mockup of the high-resolution images that the future Sentinel-2 mission will deliver. Using 82 observations from the German RapidEye satellites, the image covers the border area of northern Switzerland, southern Germany and eastern France, and includes a small portion of Austria and Lichtenstein.

This mosaic shows what a Sentinel-2 product could look like, with a swath of 290 km and a resolution of 10 m per pixel. Sentinel-2, envisaged for launch in 2013, is one of five Sentinel missions that ESA is developing for Europe’s Global Monitoring for Environment and Security (GMES) programme. Using observations from the German RapidEye satellites, the image covers the border area of northern Switzerland, southern Germany and eastern France, and includes a small portion of Austria and Lichtenstein....

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Spy-Butterfly: Israel developing insect drone for indoor surveillance — RT

Spy-Butterfly: Israel developing insect drone for indoor surveillance — RT | Remote Sensing News | Scoop.it
The future is here and this is not a butterfly on your wall, as Israeli drones are getting tiny. Their latest project – a butterfly-shaped drone weighing just 20 grams - the smallest in its range so far – can gather intelligence inside buildings.
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Using clip regions with ERDAS Image Compressor / ERDAS ER Mapper

Using the clip regions wizard...
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China launches two satellites in four days

As the rest of the world laments the loss of earth observation capacity -- with the recent report of a U.S. decline from 23 satellites to just six by 2020 and the confirmed loss of Europe's Envisat -- China has accomplished the remarkable feat of launching two remote sensing satellites within four days. The launch of the Tianui-1B mapping satellite has been closely followed by the launch of Yaogan Weixing-14, an optical remote sensing satellite on May 10.

The Tianhui 1B satelite that launched on Sunday, May 6, was designed for land resource surveys and mapping by the China Aerospace Science and Technology Corp. (CASC), and follows the first Tianhui 1 satellite that was luanched in August 2010....

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Ambientes Geográficos: MapTiler: publicação de mapas gratuitos

Ambientes Geográficos: MapTiler: publicação de mapas gratuitos | Remote Sensing News | Scoop.it

MapTiler é uma ferramenta gratuita que ainda está em fase beta e com um grande potencial de desenvolvimento para a publicação de mashups.

O objectivo do MapTiler é compatibilizar os resultados dos nossos processamentos raster realizados num SIG e adicioná-los na "nuvem" através de serviços como Google Maps, Open Street Map, etc. Devemos para o efeitos ter un servidor para alojar os nossos mapas.

MapTiler é um programa multiplataforma e produz uma visulalizaçao baseado no OpenLayers. A configuração no servidor é relativamente fácil e suporta muitos formatos de imagens geolocalizadas: TIFF/GeoTIFF, JPEG2000, Erdas HFA, NOAA BSB, JPEG, MrSID (com plugin), ECW (com plugin) entre outros.....

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Change Detection Methods for Multi-temporal Analysis of Satellite Data Aimed at Environmental Risk Monitoring

Change Detection Methods for Multi-temporal Analysis of Satellite Data Aimed at Environmental Risk Monitoring | Remote Sensing News | Scoop.it
In the last years the topic of Environmental monitoring has raised a particular importance, also according to minor short-term stability and predictability of climatic events. Facing this situation, often in terms of emergency, involves high and unpredictable costs for public Agencies.

Change detection before and after filter application

“Prevention of damages caused by natural disasters does not regards only weather forecasts, but implies the constant attention and practice of monitoring and control of human activity on territory. Practically, the problem is not knowing if and when an event will affect a determined area, but recognizing the possible damages if this event happened, by adopting the adequate measures to reduce them to a minimum, and requiring the necessary tools for a timely intervention. On the other hand, the surveying technologies should be the most possible accurate and updatable in order to guarantee high standards, involving the analysis of a great amount of data. The management of such data requires the integration and calculation systems with specialized software and fast and reliable connection and communication networks......

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Land Use/Cover Change and Desertification (Google / Economics Papers)

Land Use/Cover Change and Desertification (Google / Economics Papers) | Remote Sensing News | Scoop.it

It is characterized by exiguous vegetation, weak resistance and fragility ecosystem in arid and semiarid region, minor environmental change will induce great change of ecosystem and land-cover of the earth’s surface, so the forming and developing of land-cover in arid and semiarid region is greatly influenced by global change and it become a key site of global change and LUCC study.....

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Planetary Folklore: Landsat 7

Planetary Folklore: Landsat 7 | Remote Sensing News | Scoop.it

The Landsat Program is a series of Earth-observing satellite missions jointly managed by NASA and the U.S. Geological Survey. Since 1972, Landsat satellites have collected information about Earth from space. This science, known as remote sensing, has matured with the Landsat Program. Landsat satellites have taken specialized digital photographs of Earth’s continents and surrounding coastal regions for over three decades, enabling people to study many aspects of our planet and to evaluate the dynamic changes caused by both natural processes and human practices."

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Tianhui 1B Launch

Tianhui 1B Launch | Remote Sensing News | Scoop.it

China successfully orbited its second Tianhui-1 Satellite. Tianhui-1B was launched aboard a Long March 2D Launch Vehicle lifting off from the Jiquan Satellite Launch Center at 7:10 GMT on Sunday, May 6, 2012.
The Tianhui Spacecraft use stereo-imaging techniques for Earth Observations. Tianhui-1B was built by the Hangtian Dongfanghong Weixing Corporation. The main payload of the spacecraft is the optical suite consisting of a CCD Camera that provides a ground resolution of 5 meters and a camera angle of 25 degrees, and a multi-spectrum imager with a ground resolution of 10 meters. The optical payload provides images of ground swaths of 60 Kilometers. The spacecraft has two deployable solar arras for power generation. Also, it is three-axis-stabilized to support stable imaging. Tianhui-1B operates from Low Earth Orbit with an altitude of 500 Kilometers. Both Tianhui satellites now in orbit are contributing to the Chinese Ziyuan Program that supports several civil as well as military purposes.....

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Quantum GIS (QGIS) Tutorials: Tutorial: Working with Projections in QGIS

Quantum GIS (QGIS) Tutorials: Tutorial: Working with Projections in QGIS | Remote Sensing News | Scoop.it

Map projections often cause a lot of frustration when working with GIS data. But proper understanding of the concepts and access to the right tools will make it much easier to deal with projections. In this tutorial, we will explore how projections work in QGIS and learn about tools available for vector and rasters - particularly reprojecting vector and raster data, enabling on-the-fly reprojection and assigning projection to data without projection.
We will use Natural Earth vector data for this tutorial, particularly 10m_admin0_map_units layer. We will also use some raster data for the UK. I downloaded MiniScale raster layer from UK’s OS Open Data initiative.

Let’s get familiar with basics of how projection is handled in QGIS. Projection is referred as Coordinate Reference System (CRS) or Spatial Reference System (SRS) within QGIS. Coordinate systems are categorized in 2 types: Geographic Coordinate Systems and Projected Coordinate Systems. Geographic Coordinate Systems use Latitude and Longitude as coordinates and use different ellipsoids. Projected Coordinate Systems project the ellipsoid to a surface and use various linear schemes to assign coordinates.

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Race for More Spectral Resolution for Earth Observation Satellites Is On - All Points Blog

Race for More Spectral Resolution for Earth Observation Satellites Is On - All Points Blog | Remote Sensing News | Scoop.it

The race in space for commercial earth observation satellites was primarily for ever increasing spatial resolution. From the early days of Landsat’s 80 meter spatial resolution till today’s sub-meter accuracy on GeoEye and DigitalGlobe satellites, the demand for seeing objects on the ground more clearly was tantamount. Higher spectral resolution, however, took a back seat. But the next generation of satellites could change the perspective of users. While sub-meter spatial resolution will help you identify the class of ground-based objects, sub-classification can only be achieved by adding more spectral bands with narrower band widths.

For example, let’s say you are looking to find that rare copper mine nobody’s found yet. With copper prices fetching a premium price on commodity exchanges, you’re really looking to strike it rich. But while it’s easy to find mineralization in non-vegetated areas, it’s a different story altogether in the middle of a lodge pole pine forest. What you’ll need is a high spectral resolution imager that can discern the impact of chlorosis on pine needles exposed to high percentages of copper in the soil. The naked eye just will not see the change in reflected solar radiance values. The “digital prospector” will need a fairly sophisticated instrument.

All this might change with the upcoming launch of government and private sector satellites. DigitalGlobe announced yesterday that they were including Shortwave Infrared (SWIR) bands on WorldView-3. In addition to the more typical 8-band multispectral imager included on the satellite, there will be eight SWIR bands, each 30-40nm wide from the 1195-2365 nm range of the spectrum. Within this spectral range certain characteristics of plant material can be much more easily discerned.1

Walter Scott, DigitalGlobe’s CTO, was interviewed by Space News in which he commented that, “Shortwave infrared is really good at detecting differences between materials,” but he wouldn’t elaborate beyond that except to say that the additional bands would be good for “mineral exploration, vegetation moisture monitoring and water-resource management.”.......

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Earsc: Latest CryoSat Result Revealed

Results from ESA’s ice mission were presented today at the Royal Society in London.

In June 2011, the first map of Arctic sea-ice thickness was unveiled, using CryoSat data acquired between January and February of that year.

Now, the complete 2010–11 winter season data have been processed to produce a seasonal variation map of sea-ice thickness.

This is the first map of its kind generated using data from a radar altimeter at such a high resolution compared to previous satellite measurements.

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India Launches Satellite with SAR Capabilities - All Points Blog

Several Indian news sources area reporting on the launch of India's RISAT-1, an earth observing satellite to monitor weather and crops. Launched Thursday by the Indian Space Research Organization (ISRO), the satellite carries on board a synthetic aperature radar (SAR) sensor......

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