Thursday, May 29, 2014

GIS Mapping services

The modern era witnessed a change from paper maps to digital maps. As geo spatial technology evolved to the present day status, more and more paper maps have turned into digital maps. The availability of cartographic symbology, in major global GIS software has made it possible to prepare digital maps. There are different kinds of GIS digital mapping. Most common ones are conversion of paper maps to digital form and digitization from satellite images and other images using image interpretation techniques. In case of paper maps to digital map conversion, scanning of the paper maps is a necessary prerequisite. Scanning can be done to a 300 dpi level to get clarity of the features to be mapped. Then the images will be geo referenced. Geo referencing can be done using ground control points taken either from other reference maps, coordinate values printed on the maps, or though DGPS survey. During geo referencing, the map is projected to user defined coordinate systems and projection. All GIS software is having almost all of the world’s coordinate systems, projections and datum in the form library files. Once the maps are in real world coordinates, the digitization can be done using on screen heads up digitization or using a digitization table.

There are three entities in which any GIS mapping services accept the features. These are points, lines and polygons. Features like land marks, bus terminus, tube wells etc can be depicted in the form of points. Lines are loci of points with and start point and an end point. Road network, railway lines etc are usually depicted in the form of lines. Polygons are lines with start point and end points are same. Water bodies, settlements, parcel boundaries etc are usually depicted in the form of polygons. Once the features are extracted digitally in the form of points, lines, and polygons, various cartographic symbology and colors can be assigned to these features. Size and styles of features can also be incorporated at this stage to the maps. Another important advantage of digital mapping is incorporation of the attributes. Descriptions and information regarding the points, lines and polygons can be in the form of any number of attributes. In a GIS mapping, these attributes will be defined through a data base structure. Main kinds of mapping services are for geological mapping, base mapping, land use land cover mapping etc. Land parcels in the form of cadastral maps can also be prepared in this way. Administrative boundary maps, forests boundary map are also digital maps prepared in this way. Remote sensing data products such as satellite images of varying resolutions and aerial photographs are major input for preparation of digital maps. These images can be interpreted using interpretation keys such as tone, texture, association, size, shape and pattern. Useful feature extraction thus derived will be filled with attributes and then cartographic layout can be prepared to get a ready to print maps. During this process, required scale, north arrow and legend will be prepared. Overall layout map will be placed in a spatial frame work of coordinates on suitable paper size to get a ready to print lay out maps which can be exported desired formats such as jpgs and pdfs.

Friday, May 9, 2014

Challenges in Unmanned Aerial Vehicle (UAV) Data processing



The most modern development in aerial photography is the spurt of using unmanned aerial vehicles for image capturing. This has reduced the image acquiring cost to a great extent that too in extremely small time spans. The added advantages of UAV image capturing are its ability to take very high resolution images and it’s on board storage. It has revolutionized the application of UAV data usage in disaster management, precision farming, and topographical data collection of mining areas, solar farms, and border security, fishing surveillance, traffic management and many more. Though it has many advantages, this type of photography has brought its own challenges in the processing of the UAV acquired images. The major challenges posed by this technology in data processing are briefed below.
Inconsistent over lapping: This is a major challenge in UAV data processing. This will leads to non generation of stereo models and if generated collapsing of features. The author’s technical experience shows that a minimum of 80% overlap is required along flight line and 70% overlap is required between flight lines.

Distribution of Ground Control Points: Accuracy and distribution of ground control points are another challenge in UAV data processing. When comparing with conventional aerial photography, UAV require more number of Ground Control Points (GCP). As UAV data collection will be generally for small areas a dense distribution of GCPs are required for high accuracy. These GCPs should be evenly distributed and cover all the borders adequately. Accuracy of the GCPs is a defining factor in accuracy of digital terrain models and derived products.

Requirement of hardware and software: UAV data processing requires additional software to process the data. There are quite few software available in the market for processing UAV data. Each software has its own merit and demerits. Most of the software requires high end hardware to work on. This is a major challenge in data processing. As UAV swath is very small, number of images will be very high. In such instances one should require a high end hardware system with high level of RAM and very good quality graphic card, high storage space and other peripherals. 

Block to Block changes in altitudes: As UAVs are very small in size and flying at a lower altitude comparing with conventional aerial photography, causes flight line changes in altitude. This will leads to more manual editing along the block boundaries.

Failure areas: UAV data contain many numbers of images even for a small area. So, almost all software output will show failure areas much greater in amount than conventional photogrammetric methods. So a sizable amount of manual interference is required for correcting the Digital Surface Models (DSM). Data processing involves tedious manual editing of the failed and collapsed areas.

Absence of Auto Digital Terrain Models (DTM): None of the existing well established software are not providing with direct DTM. So manual editing with break lines is essential for getting very high accuracy Digital Terrain Models (DTM).

Issues in ortho photos: Another challenge in UAV data processing is the collapsed areas in ortho mosaics. Some of the software claims that they have this auto correction facility, but in practical manual interference is required. Ortho photo mosaic editing is required using Photoshop which is a manual tedious process.

SBL Geomatics provides complete solutions for all standard tasks in digital photogrammetry services such as aerial triangulation, DEM / DTM generation, photogrametry services, stereo compilation, topographic and planimetric feature extraction, orthophoto production, color balancing, mosaicking and tile generation, pan sharpening, contour generation, 3D terrain visualization, orthophotography services and LiDAR services