The GIS software sector has developed rapidly over the last ten years. Open Source GIS applications are gaining relevant market shares in academia, business, and public administration. In this paper, we illustrate the history and features of a key Open Source GIS, the Geographical Resources Analysis Support System (GRASS). GRASS has been under development for more than 28 years, has strong ties...

Purpose : Over the seventy years, various soil erosion modeling methods were developed in world with different input requirements and complexity. Some of these models have been applied Sri Lanka covering several regions country at scenarios over past twenty years. Thus, prime objective this study is to compare commonly practiced GIS/ RS based assessment derivation techniques model parameters us...

This paper presents the concepts and technology of GMN and its application in developing real estate management software. GMN abbreviating GIS+MIS+Network, is a new technology integrating Geographic Information Systems (GIS) and Management Information Systems (MIS) in the Internet environment. Previous real estate management software products which are mainly based on MIS cannot meet various es...

The inclusion of error handling capabilities within geographical information systems (GIS) is seen by many as crucial to the future commercial and legal stability of the technology. This thesis describes the analysis, design, implementation and use of a GIS able to handle both geographical information (GI) and the error associated with that GI. The first stage of this process is the development...

More attention has been paid to estimating soil nutrient status, along with a sharp decrease in total farmland acreage, especially in Beijing Municipality. However, traditional site-specific investigation makes it impossible to apply it to large scale monitoring. The objective of this study was to evaluate and classify soil nutrient status using advanced 3S (global positioning system, GPS; remo...

Crop growth and productivity are determined by a large number of weather, soil and management variables, which vary significantly across space. Remote Sensing (RS) data, acquired repetitively over agricultural land help in identification and mapping of crops and also in assessing crop vigour. As RS data and techniques have improved, the initial efforts that directly related RS-derived vegetatio...