Responses of Annual Variability of Vegetation NPP to Climate Variables Using Satellite Techniques in Gadarif State, Sudan

Plants play an essential role in matter and energy transformations and are key messengers in the carbon and energy cycle. Net primary productivity (NPP) reflects the capability of plants to transform solar energy into photosynthesis. It is very sensible for factors affecting on vegetation variability such as climate, soils, plant characteristics and human activities. So, it can be used as an indicator of actual and potential trend of vegetation. In this study we used the actual NPP which was derived from MODIS to assess the response of NPP to climate variables in Gadarif State, from 2000 to 2010. The correlations between NPP and climate variables (temperature and precipitation) are calculated using Pearson’s Correlation Coefficient and ordinary least squares regression. The main results show the following 1) the correlation Coefficient between NPP and mean annual temperature is Somewhat negative for Feshaga, Rahd, Gadarif and Galabat areas and weakly negative in Faw area;2) the correlation Coefficient between NPP and annual total precipitation is weakly negative in Faw, Rahd and Galabat areas and somewhat negative in Galabat and Rahd areas. This study demonstrated that the correlation analysis between NPP and climate variables (precipitation and temperature) gives reliably result of NPP responses to climate variables that is clearly in a very large scale of study area.

Groundwater Quality Assessment for an Indian Urban Habitat： A GIS Approach

Groundwater is an essential source of drinking water for many Indian urban habitats. Large numbers of people consume ground water instead of municipal tap water due to contamination of tap water. Groundwater is extracted from thousands of bore wells, and used for potable purpose without proper testing and treatment. This paper describes a groundwater quality monitoring strategy and database model developed for Gulbarga city, located in Karnataka, India. Sampling wells are selected one each in 55 wards of the city corporation having easy access for regular sampling. Various attributes of sampling wells including their spatial coordinates, location address and a photograph are registered for ready recognition on site. Water samples are collected and analyzed for various physico-chemical parameters. Spatial coordinates and levels of sampling points are measured on site using a hand held GPS instrument. Gulbarga city map is digitized. A GIS database of the measured spatial and water quality data is developed using ArcGIS Desktop 9.3, and ground water quality maps are prepared which may serve as useful tools for developing policy, and regulatory mechanism for sustainable groundwater use.

Application of landscape connectivity in habitat suitability evaluation——case study in Wolong Nature Reserve,Sichuan,China

Landscape connectivity is a parameter of landscape function, which measures the processes by which the sub populations of organisms are interconnected into a functional demographic unit. It is a landscape phenomenon which describes the relationships between landscape subunits. Landscape connectivity can be measured by measuring the degree to which the landscape pattern facilitates or impedes movement of animals among resource patches, particularly for conserved animal species. In this paper, the landscape connectivity for Giant Panda in Wolong Nature Reserve was evaluated by using landscape ecological model on the base of choosing three natural affecting factors on Giant Panda and using geographic information system. The results demonstrate that only about 90 36 km 2 (c.a.4 47%) of total area 2023 31 km 2 is most suitable for Giant Panda survival, the suitable area is about 226 42 km 2 (11 19%), the moderately suitable area is 286 09 km 2 (14 13%), as much as 1236 51 km 2 is completely unsuitable for Giant Panda living. The result will be helpful for making a decision on improving eco environment and protecting Giant Panda in Wolong Nature Reserve.

Usage of GIS Technology in Civil Engineering

Geographic Information System （GIS） technology is more and more used even in the technical practice of a construction industry. In the preparatory phase of the construction, the problems of a spatial positioning （location） of the construction have to be solved jointly with the checking of the feasibility and purposefulness, the traffic projects are worked out, and the alternative, more detailed solutions of technical problems are designed. At project development there are used various forms of initial documents, results of the actual data gathering and surveys, map sheets, photographs, previous documents referring to the problems solved, and appropriate legal and technical standards. The article presents the experience with the issue of GIS in construction in preparation of buildings, in the implementation phase of the construction in GIS. It presents a model of information system construction and technology of mobile GIS for data collection and use of mobile GIS in water management.

The launch of a large regional gravity information system in China

We developed the China Regional Gravity Information System（RGIS） using mixed language programming in Visual Basic,Visual C＋＋,and FORTRAN.The software is based on the MapInfo platform with OLE technology.With this system,we achieve visual data management for the database with spatial geography,geology data and gravity data as well as graphical data editing and data table operations over the whole of China.We are able to perform normalized gravity reduction,gravity and magnetic field transforms,gravity anomaly inversion and interpretation,thematic mapping and so on.

Governance of Marine Protected Areas： An Approach Using Public Participation Geographic Information Systems--The MARGov Project

The MARGov Project consisted in strengthening the interaction among the Professor Luiz Saldanha Marine Park stakeholders, and to collaboratively construct, with social and institutional actors, a governance model for the Marine Park, located in the municipality of Sesimbra （Portugal）. To pursue this goal, a PPGIS （public participation geographic information system） was developed, allowing the interaction, discussion and public participation of the stakeholders and actors involved. This PPGIS emerged as a crowdsourcing tool, with the purpose of assisting the georeferenced contributes from the local users of the Marine Park, regarding several relevant subjects, such as pollution, economic activities, opportunities and threats to the Marine Park, providing visual, analytical, and demonstrative qualities.