maggis

You may create 3D maps and create one in a moment with LandViewer. For that you would need to locate an area of your interest and highlight it with AOI tool. Once done you would need to select an image from thousands of those available on the right and click on 3D visualization icon on the left. An example you can see here: Direct link: https://eos.com/landviewer/?lat=30.13800&lng=83.38074&z=8&id=LV-TEMw-OF9M-MVRQ-XzE0-MzAz-OV8y-MDE5-MDQy-M18y-MDE5-MDQy-M18w-MV9S-VA%3D%3D&b=Red,Green,Blue&anti&pansharpening Besides that, there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain. And this is just the beginning. Using all the features of the EOS Platform - Storage, Processing, Vision, opens up additional possibilities for flexible and relatively fast processing of huge arrays of multispectral multi-temporal and multi-level data.

Landviewer can be used as a WMS services and export data to many 3rd party services. It is also capable of viewing both various RGB combinations and various derived products from source data - multispectral indices (as products of a higher level of processing) as well as working with KML, SHP, GeoJSON files. As of now, there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain. And this is just the beginning. Using all the features of the EOS Platform - Storage, Processing, Vision, opens up additional possibilities for flexible and relatively fast processing of huge arrays of multispectral multi-temporal and multi-level data.

You may find such NDVI data via satellite imagery service called LandViewer. This tool has a vast database of satellite imagery that is publicly available and is updated on a regular basis. You may set any Index you need to analyze the area of your needs or create any Index of your own. Besides that there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain and so much more. Here’s a brief guide to types satellite data that can be found on LandViewer. High resolution satellite imagery: SPOT 6, 7 (up to 1.5 m/pxl) SPOT 5 (up to 2.5 m/pxl) Pléiades 1A, 1B (up to 0.5 m/pxl) KOMPSAT-2 (up to 1 m/pxl) KOMPSAT-3А (up to 0.4 m/pxl) KOMPSAT-3 (up to 0.5 m/pxl) SuperView-1 (up to 0.5 m/pxl) Both optical and radar data is available — with global coverage, and short revisiting period that varies from 2 to 5 days. Low & medium resolution imagery: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 An example of such imagery can be seen below: https://eos.com/landviewer/?lat=33.39447&lng=52.68974&z=11&side=R&slider-id=LV-TEM4-MTYz-MDM3-MjAx-MzM2-NExH-TjAw&slider-b=Red,Green,Blue&slider-anti&slider-pansharpening&id=LV-TEM4-MTYz-MDM3-MjAx-MzM2-NExH-TjAw&b=NIR,Red&expression=(B5-B4)%2F(B5%2BB4)&anti&pansharpening

You may access SPOT imagery that dates back to 2007 via satellite imagery service like LandViewer. You could download images to your PC or store them at EOS Storage and analyze them with ease via numerous tools available on the platform. In addition to SPOT imagery here’s a brief guide to types satellite data that can be found on LandViewer. High resolution satellite imagery: Both optical and radar data is available — with global coverage, and short revisiting period that varies from 2 to 5 days. SPOT 6, 7 (up to 1.5 m/pxl) SPOT 5 (up to 2.5 m/pxl) Pléiades 1A, 1B (up to 0.5 m/pxl) KOMPSAT-2 (up to 1 m/pxl) KOMPSAT-3А (up to 0.4 m/pxl) KOMPSAT-3 (up to 0.5 m/pxl) SuperView-1 (up to 0.5 m/pxl) Low & medium resolution imagery: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 An example of SPOT imagery can be seen on an image below: https://eos.com/landviewer/?lat=45.58473&lng=-99.94400&z=10&preset=highResolutionSensors&datasets=600,601

I would highly advise to use Infrared or NDVI index for such purposes. You may access Landsat data via satellite imagery service like LandViewer. This tool has a vast database of satellite imagery and numerous tools available for image analysis. NDVI is often used around the world to monitor drought, forecast agricultural production, assist in forecasting fire zones and desert offensive maps. NDVI is preferable for global vegetation monitoring since it helps to compensate for changes in lighting conditions, surface slope, exposure, and other external factors. As seen below, one is dark green, the other one is light green with brown spots. It indicates that the first field has higher biomass. https://eos.com/landviewer/?lat=33.12706&lng=-96.69273&z=12&datasets=2,3&id=LV-TEMw-OF9M-MVRQ-XzAy-NzAz-N18y-MDE5-MDMw-OV8y-MDE5-MDMw-OV8w-MV9S-VA%3D%3D&b=NIR,Red&expression=(B5-B4)%2F(B5%2BB4)&anti&pansharpening Infrared band combination allows vegetation to be readily detected in the image. Vegetation emerges in shades of red, soils vary from dark to light browns and urban areas are cyan blue or at sometimes can appear yellow or grey, depending on their composition. Clouds, snow, and ice are light cyan or white. Hardwood trees will appear light red than Coniferous. Clearwater appears dark-bluish, while turbid water appears cyan. Below is a Color infrared band combination applied to Sentinel-2 image in order to highlight vegetation (croplands and forests): Dörtyol/Hatay, Turkey. Nov 02, 2018 - Land Viewer | EOS

You may find NDVI data that predates year 2000 via satellite imagery service called LandViewer. This tool has a vast database of satellite imagery that is publicly available and is updated on a regular basis. You may set any Index you need to analyze the area of your needs or create any Index of your own. Besides that there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain and so much more. Here’s a brief guide to free satellite data that can be found on : Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 An example of such imagery with an applied NDVI index can be seen below. https://eos.com/landviewer/?lat=33.04234&lng=-96.62132&z=11&id=LV-TFQw-NV9M-MVRQ-XzAy-NzAz-N18x-OTk5-MTIz-MV8y-MDE2-MDkx-OV8w-MV9U-MQ%3D%3D&b=NIR,Red&expression=(B4-B3)%2F(B4%2BB3)&anti

Hello! You don't have to pay for low\medium resolution images.

It would be less time-consuming to access Landsat data while using Landviewer. This tool has a vast database of satellite imagery that is publicly available and is updated on a regular basis. Besides that here are many tools available for image analysis and any user may use them at ease. For example, there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain and so much more. Here’s a brief guide to free satellite data that can be found on LandViewer: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 An example of such imagery can be seen below: 2100 Coruche, Portugal. Feb 13, 2019 - Land Viewer | EOS

You may download satellite imagery via LandViewer. This tool has a vast database of satellite images that are updated regularly. Satellite data is free to use and easy to find thanks to the convenient search interface, which reduces time needed to find right image data. Besides that there are many tools available for image analysis and any user may use them at ease. For example, there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain and so much more. Here’s a brief guide to free satellite data that can be found on LandViewer: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 All you need to do is open LandViewer and locate an area of your interest. Once done you will have the option to select a specific satellite you need and numerous tools for image analysis available at your disposal. Option to download is available on the right as seen on the image below. Gilbert, AZ, USA. Feb 19, 2019 - Land Viewer | EOS

You may download satellite imagery via LandViewer. This tool has a vast database of satellite images that are updated regularly. Satellite data is free to use and easy to find thanks to the convenient search interface, which reduces time needed to find right image data. In addition there are numerous tools available for image analysis. Here’s a brief guide to free satellite data that can be found on LandViewer: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 All you need to do is open LandViewer and locate an area of your interest. Once done you will have the option to select a specific satellite you need and numerous tools for image analysis available at your disposal. Option to download is available on the right as seen on the image below. Gilbert, AZ, USA. Feb 19, 2019 - Land Viewer | EOS

You may access MODIS data via service like Landviewer. This tool has a vast database of satellite imagery that is publicly available and is updated on a regular basis. Besides that here are many tools available for image analysis and any user may use them at ease. Here’s a brief guide to free satellite data that can be found on LandViewer MODIS - archive since 2012 Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 In order to acess MODIS data you need to follow this guide: Open Landviewer and register an account Locate an area you need Select MODIS from "passive sensors" tab Apply Snow\Clouds index or create one of your own An example of such imagery can be seen below: https://eos.com/landviewer/?lat=64.98865&lng=13.53516&z=5&preset=passiveLowSensors&id=LV-TUNE-NDNB-NC5B-MjAx-OTA1-NS5o-MTh2-MDIu-MDA2-LjIw-MTkw-NjQw-MzM2-MzI%3D&b=Blue,SWIR1,SWIR2&anti

It would be less time-consuming to access Landsat data while using Landviewer. This tool has a vast database of satellite imagery that is publicly available and is updated on a regular basis. Besides that here are many tools available for image analysis and any user may use them at ease. For example, there are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain and so much more. You could also use WMS to connect with Landviewer satellite imagery or connect to any other CRM\ERP system via its publicly API. Here’s a brief guide to free satellite data that can be found on LandViewer: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 An example of such imagery can be seen below: 2100 Coruche, Portugal. Feb 13, 2019 - Land Viewer | EOS

You can get it on Google Earth Pro. Alternatively High/Very high resolution satellite images can be obtained from LandViewer. Along with free medium-resolution images, you’ll get access to commercial data from Airbus, SI Imaging Services and SpaceView. Here’s a quick guide on satellites and their image quality: Pléiades 1A, 1B (up to 0.5 m/pxl) SPOT 6, 7 (up to 1.5 m/pxl) SPOT 5 (up to 2.5 m/pxl) KOMPSAT-2 (up to 1 m/pxl) KOMPSAT-3А (up to 0.4 m/pxl) KOMPSAT-3 (up to 0.5 m/pxl) SuperView-1 (up to 0.5 m/pxl) Gaeofen 1 (up to 2 m/pxl) Gaeofen 2 (up to 3.2 m/pxl) Ziyuan-3 (up to 2.1 m/pxl) Both optical and radar data is available — with global coverage, and short revisiting period that varies from 2 to 5 days. All you need to do is set search parameters (coordinates, date, cloudiness %), then choose one from the results for a preview. The cost will be shown immediately, and the entire purchase will take around 3 days. An example of such imagery can be seen below: Abu Dhabi - United Arab Emirates. - Land Viewer | EOS

Could you specify what type of data are you usually moving via Erdas Apollo? Alternative, I'd suggest using LandViewer. There are already ready-made tools for obtaining multispectral indices, flexible processing of data on AOI, elementary clustering, using a raster calculator, visualization of scenes in 3D using digital elevation models, changes in territories based on multi-temporal multispectral analysis, as well as creating ready-made animations of changes in terrain and so much more. You may use THIS guide to help you add WMS layer via LandViewer.

If you are looking for a service that will help you analyze in detail a certain area of your interest then I would highly suggest to use LandViewer. Unlike most projects out there, LandViewer is updated on a regular basis, thus you have access to fresh and high quality satellite imagery and multiple tools for deep analysis. All the satellite data is free to use and easy to find thanks to the convenient search interface, which reduces time needed to find right image data. Here’s a brief guide to free satellite data that can be found on LandViewer: Landsat 4 - archive 1982-1993 Landsat 5 - archive 1984-2013 Landsat 7 - archive since 1999 MODIS - archive since 2012 Landsat 8 - archive since 2013 Sentinel-1 - archive since 2014 Sentinel-2 - archive since 2015 An example of such imagery can be seen below: Antarctica. Feb 28, 2017 - Land Viewer | EOS