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Explore the whole world from above with satellite imagery, 3D buildings in hundreds of cities and 3D terrain of the entire globe. Set off on a unique adventure by rolling the dice and hopping between random locations. This version includes bug fixes for iOS 13 compatibility. Recently added features: - Added a setting in the Map Style panel to enable animated clouds.

Took to long for them to update the app, it was extremely outdated but now it has a very easy to use and modern interface.

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Also, they added some new features and removed useless ones. However, I still wish they had the history view feature on both Street View and the map itself like on the computer version of Google Maps and Google Earth. So if they could update it a bit more that would be great!

I love google earth, so interesting and great fun to travel the world whilst being at home! I can spend hours mooching around and going back in time on my desktop, but, alas I do not have this luxury on my iPad. Abstract High spatial resolution HSR image scene classification is aimed at bridging the semantic gap between low-level features and high-level semantic concepts, which is a challenging task due to the complex distribution of ground objects in HSR images.

Scene classification based on the bag-of-visual-words [ High spatial resolution HSR image scene classification is aimed at bridging the semantic gap between low-level features and high-level semantic concepts, which is a challenging task due to the complex distribution of ground objects in HSR images. Scene classification based on the bag-of-visual-words BOVW model is one of the most successful ways to acquire the high-level semantic concepts.

In this paper, a feature coding method under the Fisher kernel FK coding framework is introduced to extend the BOVW model by characterizing the low-level features with a gradient vector instead of the count statistics in the BOVW model, which results in a significant decrease in the codebook size and an acceleration of the codebook learning process.

By considering the differences in the distributions of the ground objects in different regions of the images, local FK LFK is proposed for the HSR image scene classification method. The experimental results show that the proposed scene classification methods under the FK coding framework can greatly reduce the computational cost, and can obtain a better scene classification accuracy than the methods based on the traditional BOVW model.

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Abstract A large-scale re-vegetation supported by the Grain for Green Project GGP has greatly changed local eco-hydrological systems, with an impact on soil moisture conditions for the Chinese Loess Plateau. It is important to know how, exactly, re-vegetation influences soil moisture conditions, which not [ A large-scale re-vegetation supported by the Grain for Green Project GGP has greatly changed local eco-hydrological systems, with an impact on soil moisture conditions for the Chinese Loess Plateau. It is important to know how, exactly, re-vegetation influences soil moisture conditions, which not only crucially constrain growth and distribution of vegetation, and hence, further re-vegetation, but also determine the degree of soil desiccation and, thus, erosion risk in the region.

Two separate periods, which are — and —, were selected to examine the spatiotemporal pattern of the chosen eco-environmental factors. It has been shown that the amount of precipitation in — was close to that of — the difference being From — to —, the average annual NDVI increased for However, the average SWI decreased by 4.

More specifically, These results indicate that re-vegetation, human activities, and climate change have impacts on soil moisture. However, re-vegetation, which consumes a large quantity of soil water, may be the major factor for soil moisture change in most areas of the Loess Plateau. Abstract The accurate extraction and mapping of built-up areas play an important role in many social, economic, and environmental studies.

In this paper, we propose a novel approach for built-up area detection from high spatial resolution remote sensing images, using a block-based multi-scale feature [ The accurate extraction and mapping of built-up areas play an important role in many social, economic, and environmental studies.

In this paper, we propose a novel approach for built-up area detection from high spatial resolution remote sensing images, using a block-based multi-scale feature representation framework. First, an image is divided into small blocks, in which the spectral, textural, and structural features are extracted and represented using a multi-scale framework; a set of refined Harris corner points is then used to select blocks as training samples; finally, a built-up index image is obtained by minimizing the normalized spectral, textural, and structural distances to the training samples, and a built-up area map is obtained by thresholding the index image.

Experiments confirm that the proposed approach is effective for high-resolution optical and synthetic aperture radar images, with different scenes and different spatial resolutions. The boundaries of the built-up areas are not smoothed. The final results are those with the best F-measure values. The Harris corner points are drawn in green. Abstract Sentinel-2 S2 earth observation satellite mission, launched in , is foreseen to promote within-field decisions in Precision Agriculture PA for both: 1 optimizing crop production; and 2 regulating environmental impacts.

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Sentinel-2 S2 earth observation satellite mission, launched in , is foreseen to promote within-field decisions in Precision Agriculture PA for both: 1 optimizing crop production; and 2 regulating environmental impacts. In this second scope, a set of Leaf Area Index LAI derived from S2 type time-series —, using Formosat-2 satellite is used to spatially constrain the within-field crop growth and the related nitrogen contamination of surface water simulated at a small experimental catchment scale with the distributed agro-hydrological model Topography Nitrogen Transfer and Transformation TNT2.

These results show that optimal SWHC can be derived from remote sensing series for one year. Selection of unique soil parameters using multi-year LAX and neighborhood solution is expected to deliver more robust soil parameters solutions and need to be assessed further. The use of optical remote sensing series is then a promising calibration step to represent crop growth within crop field at catchment level.

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Nevertheless, this study discusses the model and data improvements that are needed to get realistic spatial representation of agro-hydrological processes simulated within catchments. The next year , opposite location of crops are observed, implied by the sunflower and winter wheat crop succession. The area used to test the methodology corresponds to the underlined crop field in red. It corresponds to a homogeneous area in term of crop cover: sunflower in , and , and winter wheat in and The red polygon highlight the simulations and observations for the year Each blue circle corresponds to a TNT2 simulation.

The higher the value is, the higher the sensitivity is. The third column shows simulated LAX after having reset soil parameters using the best numerical solution of the fourth column.


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Although a range of measurements and modelling techniques can be used to assess the UHI, the paucity of traditional meteorological observations in urban areas has been an [ Although a range of measurements and modelling techniques can be used to assess the UHI, the paucity of traditional meteorological observations in urban areas has been an ongoing limitation for studies. The availability of remote sensing data has therefore helped fill a scientific need by providing high resolution temperature data of our cities. However, satellite-mounted sensors measure land surface temperatures LST and not canopy air temperatures with the latter being the key parameter in UHI investigations.

Fortunately, such data is becoming increasingly available via urban meteorological networks, which now provide an opportunity to quantify and compare surface and canopy UHI on an unprecedented scale. This analysis is performed under a range of atmospheric stability classes and investigates the relationship between surface and canopy UHI in the city. A significant finding of this work is that it demonstrates, using observations, that the distribution of the surface UHI appears to be clearly linked to landuse, whereas for canopy UHI, advective processes appear to play an increasingly important role.

Strong relationships were found between air temperatures and LST during both the day and night at a neighbourhood scale, but even with the use of higher resolution urban meteorological datasets, relationships at the city scale are still limited. Based on the BUCL dataset. Ramsey 1 and David A. Crown 2. Lowell Rd. Abstract Orbital thermal infrared TIR remote sensing is an important tool for characterizing geologic surfaces on Earth and Mars.

However, deposition of material from volcanic or eolian activity results in bedrock surfaces becoming significantly mantled over time, hindering the accuracy of TIR compositional analysis.

Orbital thermal infrared TIR remote sensing is an important tool for characterizing geologic surfaces on Earth and Mars. Moreover, interplay between particle size, albedo, composition and surface roughness add complexity to these interpretations. The results were validated with a quantitative framework developed using fieldwork that was conducted at 13 pre-chosen sites. These sites ranged in grain size from ash-sized to meter-scale blocks and were all rhyolitic in composition. Block size and mantling were directly correlated with ATI. Areas with ATI under 2. Correlation was less accurate where checkerboard-style mixing between mantled and non-mantled surfaces occurred below the pixel scale as well as in locations where strong shadowing occurred.

However, the results validate that the approach is viable for a large majority of mantled surfaces on Earth and Mars. This is relevant for determining the volcanic history of Mars, for example. Accurate identification of non-mantled lava surfaces within an apparently well-mantled flow field on either planet provides locations to extract important mineralogical constraints on the individual flows using TIR data. Locator pins identify common examples of the four different thermophysical behaviors exhibited by individual lava flows over the diurnal cycle: i unchanging temperature, always cool; ii unchanging temperature, always warm; iii changing temperature; warm during the day and cool at night, indicative of a low thermal inertia surface; iv changing temperature, cool during the day and warm at night, indicative of a high thermal inertia surface.

Inset is a MOLA-derived shaded relief image with the study area denoted by the white box. Inset shows the state of California with the study area MCD denoted by the black box. The colorized scale image is overlain on a Digital Globe within Google Earth high-resolution color image for detail. This image was used as a guide for later fieldwork and the numbered pins refer to visited field sites. Blue dots indicate proposed field sites prior to the fieldwork being conducted. The numbered pins denote visited sites with associated field data. Note the very different ATI behavior on the northwest versus the southeast facing slopes.

Site 1 is a large pumice plain at the base of the coulee black circle shows an approximate 30 cm high pine tree sapling for scale. The particle size for this site is 1 cm or less. Site 2 is a mantled location on the coulee white circle shows an approximate 12 cm camera case for scale. Note the bimodal distribution of particle sizes at this site with the largest particles exceeding 12 cm. Site 3 has a strongly bimodal particle size consisting of mantling similar to Site 2 as well as a non-mantled primary lava flow surface blocks. Site 4 is a completely non-mantled location on the coulee.

The average block size for each is denoted with the arrows. The lack of correlation is a direct result of very similar composition pumiceous rhyolite lava and air fall pumice reflected in the emissivity with very different particle sizes pyroclastic air fall to blocks reflected in the ATI.

The approximate flow boundary is shown by the black outline. Map created from ATI image. Abstract High-resolution urban land use maps have important applications in urban planning and management, but the availability of these maps is low in countries such as China.

To address this issue, we have developed a protocol to identify urban land use functions over large [ High-resolution urban land use maps have important applications in urban planning and management, but the availability of these maps is low in countries such as China. To address this issue, we have developed a protocol to identify urban land use functions over large areas using satellite images and open social data.

We first derived parcels from road networks contained in Open Street Map OSM and used the parcels as the basic mapping unit. Similarity measures and threshold methods were used to identify land use types in the classification process. This protocol was tested in Beijing, China. The results showed that the generated land use map had an overall accuracy of The map revealed significantly more details of the spatial pattern of land uses in Beijing than the land use map released by the government.


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  • The white line shows the boundary of the administrative area of Beijing, China. The built-up areas are at the center of the satellite image and are indicated by a red boundary. The 2nd to the 5th ring roads are shown by orange lines. Lovell 1 , Edward A. Abstract Calibration and validation of satellite observations are essential and on-going tasks to ensure compliance with mission accuracy requirements.


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