21 Feb 2019
Weather map 2.0 and Relief maps. #1 Description of products
17 Oct 2018
Dashboard for Agricultural Monitoring
Dashboard for Agricultural Monitoring is a service created for visual demonstration of a satellite data (NDVI) and weather data (forecast, historical & accumulated parameters), which you can get for the area of your interest (for your polygons).
06 Aug 2018
How do we process satellite imagery so that customer can operate with Ready-to-use Data
1) Satellite data search.
1.1. Selection of suppliers or distributors of satellite data.
1.2. Data search in archives. Search is based on the following criteria: - date of satellite imagery, percent of cloud coverage, type of satellite imagery system, level of data preprocessing, geographical area of interest (AOI).
28 Feb 2018
VANE Platform News: timeline function
• To make searching for images easier, a timeline function has been added. This means that images for a period in question, specific dates, or as near as possible to them, can be quickly found and examined. Cloud cover metadata allows you to evaluate beforehand how useful the photos are and to choose the most appropriate ones. This function is available for images from Landsat-8 (l8), Sentinel(se) and RapidEye (re).
• Added to the contour drawing mode is the capacity to create several polygons there and then and enter the coordinates textually (geojson).
25 Jan 2018
The Polygon tool
An example of one of the services for agricultural applications offered by VANE has now been added to the Query Builder interface.
The Polygon tool allows you to isolate any outline you want in the photograph, process the satellite images in RGB and EVI, and arrange any color palette with any scale for a specific area.
It is possible to edit it, obtain data on the depicted polygon and download it from the geojson file.
Then you can get the URL with the assembled polygon and copy it to your site
24 Jan 2018
VANE Platform News
- the filter algorithm for selecting BEST coverage tiles has changed.
BEST - is the method for overlaying images (parameter value order), and is the best way possible, depending on the parameters selected: date range, satellite, percentage of cloud cover.
Changes to the algorithm have enabled the quality of coverage to be significantly enhanced:
Sentinel-2 - before
Sentinel-2 - after
- combined data sources Landsat 8 and Landsat-8_TOA
Landsat-8 + Landsat-8_TOA
19 Dec 2017
Cloudless: global cloudless composite coverage based on the VANE Platform
In the drawing is global coverage obtained between 06.01.2017 and 09.01.2017 using data from the MODIS spectroradiometer aboard KA Terra and Aqua.
The current cloudless coverage of the Earth by medium and low-resolution satellite images are an important element in the regional and global systems that monitor the territorial changes caused by natural and man-made factors. For example, assessing the damage inflicted by forest fires caused by deforestation, volcanic eruptions, flooding,etc. Also, such types of coverage are popular as the base layer for cartographic web services.
The main stages of creating such coverage are: the selection of images, expert as a rule, the masking of clouded areas, tonal adjustment of images taken at different times of the year, and pasting them into single coverage using so-called “cutlines” which enable, to a certain extent, the joins between the pasted images to be hidden. Such operations, as a rule, are carried out in semi-automatic mode and require specialized software and highly qualified experts, which substantially increases both the time taken to create such a product and its cost.