ArcGIS Tools Research Articles

Spatial relocation of pollution-intensive industry and the mechanism in Yangtze River Delta

The world is moving further toward economic globalization and trade liberalization.Industrial relocation is an important way to upgrading the industrial structure and promoting regional coordinated development, which usually assumes relocating industrial production from prosperous zones to less developed zones. Against the background, it has become a hotspot in the research of regional sustainable development in the places where the pollutionintensive industry is relocated and what causes the pollution.Based on the panel data of the Yangtze River Delta from 2000 to 2010 and using spatial analysis tool of Arc GIS, this paper explores the characteristics and regularities of spatialtemporal pattern of pollution-intensive industry, and comes to a quantitative conclusion on the driving mechanism of pollution- intensive industry's relocation by constructing a metrological model. Results suggest:(1) In the last 10 years, the phenomenon of pollution- intensive industry's relocation is found in the Yangtze River Delta. The direction of its relocation coincides with Shanghai-Nanjing railway and Shanghai-Hangzhou-Ningbo railway. Moreover,the general trend is from the center to the periphery, which is an accelerated diffusion trend.Generally, the speed of diffusion is faster in the latter 5 years than in the former 5 years, but it has been a little slower since 2008;(2) There are many factors contributing to the relocation of pollution- intensive industry in the Yangtze River Delta, among which export- oriented degree and labor costs help pollution- intensive industry to relocate, while the intensity of environmental governance, industrial structure and innovation capability prevent pollutionintensive industry from relocating to destination. What's more, economic development level is negatively related to the relocation. Given that, it is concluded that the economic development of the Yangtze River Delta is independent to pollution- intensive industry, which contributes less to the growth of GDP nowadays than 10 years ago. However, the Yangtze River Delta has not got rid of the position of "Pollution haven", because the location of pollution- intensive industry has not changed fundamentally, and Shanghai, Nanjing and Hangzhou remain to be on centre stage of pollution- intensive industry in the Yangtze River Delta, as well the exportoriented degree is particularly noticeable in this region. To some extent, this is related to the recent economic downturn after the financial crisis in 2008. Hence, it is an arduous task and long way to upgrade the overall industrial structure, in order to maintain the sustained regional development. Furthermore, the need for more serious environmental supervision is urgent, so government should pay more attention to the coordination between industrial development and environmental protection.

Transformation (normalization) of slope gradient and surface curvatures, automated for statistical analyses from DEMs

Automated procedures are developed to alleviate long tails in frequency distributions of morphometric variables. They minimize the skewness of slope gradient frequency distributions, and modify the kurtosis of profile and plan curvature distributions toward that of the Gaussian (normal) model. Box–Cox (for slope) and arctangent (for curvature) transformations are tested on nine digital elevation models (DEMs) of varying origin and resolution, and different landscapes, and shown to be effective. Resulting histograms are illustrated and show considerable improvements over those for previously recommended slope transformations (sine, square root of sine, and logarithm of tangent). Unlike previous approaches, the proposed method evaluates the frequency distribution of slope gradient values in a given area and applies the most appropriate transform if required. Sensitivity of the arctangent transformation is tested, showing that Gaussian–kurtosis transformations are acceptable also in terms of histogram shape. Cube root transformations of curvatures produced bimodal histograms. The transforms are applicable to morphometric variables and many others with skewed or long-tailed distributions. By avoiding long tails and outliers, they permit parametric statistics such as correlation, regression and principal component analyses to be applied, with greater confidence that requirements for linearity, additivity and even scatter of residuals (constancy of error variance) are likely to be met. It is suggested that such transformations should be routinely applied in all parametric analyses of long-tailed variables. Our Box–Cox and curvature automated transformations are based on a Python script, implemented as an easy-to-use script tool in ArcGIS.

Morphometric Analysis of the Banas River Basin Using the Geographical Information System, Rajasthan, India

Geographical Information System techniques have been used for the identification of geomorphological features and analyzing the properties of the Banas River basin area in Rajasthan state, India. The Banas basin has covered an area of 51,779 km2. For this study, the Shuttle Radar Topographic Mission (SRTM) Digital Elevation Model (DEM) is used for evaluation of morphometric components like linear, areal and relief aspects with the help of ArcGIS software. Morphometric analysis of river basin was performed by determining the parameters like drainage area; gradient, relief; linear and aerial aspects. Watershed boundary, flow direction, flow accumulation, flow length, stream ordering have been prepared using hydrological tool and slope-aspect have been prepared using surface tool in ArcGIS. These results may be used in basin management development and hydrological studies.

Crop Pattern Mapping of Tumkur Taluk Using NDVI Technique: A Remote Sensing and GIS Approach

Agriculture is the backbone of our country. Most of the Land in Tumkur taluk is occupied by agriculture. Due to lack of awareness, farmers grow different variety of crops in different localities. Ultimately they face the problems in crop production due to low yield. Crop suitability map provide solutions to all these problems. The study area Tumkur Taluk is located in southern part of Karnataka and belongs to semi-arid climatic condition. The cropping pattern includes majorly Coconut plantation, Arecanut plantation, Banana plantation, Ragi, Wheat, Maize, Jowar and other crops. Crop pattern study was carried out using the NDVI processing of Landsat 8 data. NDVI result is recoded by taking the training sets in field visit. Finally the crop pattern map is prepared using ArcGIS tools. Among current cropping patterns Coconut plantation, Ragi, Rice, Maize, Wheat were consume less water and they are currently suitable for the area. But Arecanut plantation, Rice and Banana plantation consume huge amount of water and were not at all suitable for the regional climatic condition. The major result deducing from this study is, Mines and Geology department accounted 34500 bore wells in Tumkur district. Every day minimum 10 crore litre of water is extracted from the ground water reservoirs. Our suitability crop modelling map will minimize the maintenance of ground water. Suitability crop pattern map includes high income and yield to farmers within less maintenance and less water usage with respect to the climatic conditions.

Research on the network structure of the urban economic ties in Shanghai

Assessing the network structure of the urban economic ties( NSUET) of a city can help us understand its development level. Using the gravity model,the social network analysis method and the Arcgis tool,this paper has done some researches about the NSUET in Shanghai. The research results show that the NSUET in Shanghai was improved gradually from 2000 to 2010 and is in a stable status now. In the future,the NSUET in Shanghai should be adjusted to meet the need of urban development; the more focuses should be placed on the districts with better infrastructure,while the other areas are also considered to develop the NSUET.

Practical Approach for Finding Optimum Routes for Fuel Delivery Trucks in Large Cities

Fuel truck dispatch between a bulk terminal and gas stations as distribution centers is vital in large cities. This dispatch is considered a vehicle routing problem (VRP), a well-known class of combinatorial optimization problems, and is difficult to solve. Instead of focusing on the VRP, this study provides a practical framework to find an optimal solution for the routing of a fuel delivery truck between a bulk terminal and a large number of stations supplied by it. First, six important criteria were proposed; they were believed to be necessary to consider for assessing safety and cost of different routes. Some ArcGIS tools were used to quantify these criteria—a difficult task, especially in large-scale transportation networks. Then a shortest path model based on a multicriteria objective was proposed to solve the routing problem and find the optimum routes between bulk terminal and fuel stations. The case study considered the Tehran, Iran, metropolitan area, with more than 12 million inhabitants, and solved the dispatching problem for two types of fuel: gasoline and liquefied petroleum gas. Scenarios were defined by considering different criteria for solving the routing problem. Then each scenario was evaluated on the basis of safety and economic indexes defined in this study. The findings show that using the proposed approach for solving the routing problem could improve the safety and economic indexes compared with the existing situation.

Future Land-Use Land-Cover Scenarios for the Flint River Watershed in Northern Alabama Using the Prescott Spatial Growth Model

A changing mosaic of natural vegetation and human land uses has evolved within and around the Flint River Watershed (FRW) in Alabama and Tennessee over the past several decades. To determine the cause of change and linkage between human activities and environmental change can prove problematic. Subsequently, there is a need to produce projections of future environments based on planning instruments and socio-economic parameters. Scenarios of potential future land use land cover (LULC) change are required in order to better manage potential impacts on many environmental issues. This study creates future scenarios for the year 2030 from baseline land use of 2001, relative to three projected land use scenarios which include differences related to conservation, planning, and development. The future growth scenarios were created using the ArcGIS tool, Prescott Spatial Growth Model (PSGM). The model allows users to build different future growth scenarios based on socio-economic projections such as population, employment and other controlling factors. The simulation results indicate that LULC changes associated with future urbanization can increase by ~23% - 43% within the FRW, which will lead to significant environmental issues if not managed properly. The overall analysis and model results demonstrate the ability of future growth scenarios to explore and evaluate options for a future environment. Spatial modeling and analysis tools, such as PSGM, provide a powerful approach to evaluate potential impacts of LULC change in the future and should be used to manage urbanization in areas with more intense development.

Influence of existing secondary forest road network on the selection of timber extraction technologies at the tactical level of planning

Planning is an intellectually demanding process that requires a conscious determination of actions and decisions based on related purpose, knowledge and right decisions. During planning timber harvesting it is very important to choose the best possible technology for timber extraction. The use of multi-criteria-decision-making models is a very good way of dealing with various forestry issues especially in terms of choosing the best applicable technology for timber extraction. Modern forest management in the Republic of Croatia in terms of timber harvesting mostly relies on ground based wheeled systems. The goal of this research is to show how the current way of planning timber harvesting (timber extraction) and accordingly the construction of secondary forest road network affects future planning and introduction of ?new? technologies for timber extraction i.e. forest cableway. Analysis of suitable forest stands for different timber extraction technologies s was carried out in the management unit Garjevica-Cazma with an area of 4380.20 ha. The paper presents multi-criteria-decision-making model for defining terrain suitable for ground based wheeled systems (skidder with a winch and forwarder) and forest cableway on the base of raster maps (grid of 20?20 m i.e. 0.04 ha). The criteria used to select different technologies for timber extraction were: terrain slope, distance from the forest road, distance from the skid road and harvesting density. Analysis using GIS tools in ArcGIS and Idrisi applications goes in two directions, first the analysis of suitability of using selected technologies for timber extraction using four criteria, and comparison with results of the analysis where the criterion ?distance from the skid road? has been excluded.

Constructing a Comprehensive Tool for Deriving Drainage Network using Semi-Open Source Tools and Comparision on Different DEM Data Sources

Abstract. Digital elevation model (DEM) provides elevation information in raster format for an area which help in analysis as these phenomena are gravity depended. Hydrological study requires creation of drainage network map. DEM is the primary input for this process. Generally 6 or more processes are required to be completed to get the drainage network. These are available in form of hydrology tools in the ArcGIS software. These processes are manual and time consuming which increases the chances of human error. An automated process is constructed in this paper which aims to create a tool that can handle multiple files in an intelligent manner. The input DEM plays a significant role in hydrological studies. This study attempts to do a comparative study to analyse the variation in the drainage network and the intermediate products with the change in the input DEM. A tool is created using ArcPy site package in Python programming language to integrate all required hydrology tools. The script is then used to create a tool in ArcGIS 10 which takes location as an input parameter and perform the process on all the DEM files inside the directory. The tool creates separate directory for every DEM file and thus reduces the chances of file mismanagement. The proposed tool is tested on two different datasets namely ASTER GDEM and Cartosat DEM. The tool runs efficiently on both the datasets and thus provides results to compare the drainage pattern produced by these different data sources.

Deciphering of Groundwater Potential Zones in Tuticorin, Tamil Nadu, using Remote Sensing and GIS Techniques

Abstract: The present study was carried out to decipher the groundwater potential zones in the coastal terrain of Tuticorin using Indian remote sensing satellite IRS-1C, LlSS-III data on a 1:50,000 scale and Survey of India (SOI) toposheets. The thematic layers such as lithology, slope, land-use, lineament, drainage, soil and rainfall were generated and integrated to prepare the groundwater prospect and recharge map of the study area. These layers were transformed to raster data using feature to raster converter tool in Arc GIS 9.2 software. Subjective weights are assigned to the respective thematic layers and overlaid in GIS platform for the identification of potential groundwater zones within the area. These potential zones were categorized as ‘high’, ‘moderate’, and ‘low’ zones with respect to the assigned weightage of different thematic layers. The resultant map shows that 10% of the area has highest recharge potentials, this is due to the percolation of precipitated water into the sub-surface rocks, followed by 65% of the area with moderate groundwater recharge potentiality, and rest of the area has low recharge potential. The study highlights that the total average annual precipitated water (877 mm) is responsible for natural recharge of the aquifers in the Tuticorin area.

Multicriteria decision analysis based on analytic hierarchy process in GIS environment for siting nuclear power plant in Egypt

Due to increasing demand of electrical energy and freshwater in Egypt, it is safe to assume that the decision makers will turn to nuclear power as the feasible alternative for energy. However, as time goes by, fewer sites will be available and suitable for nuclear power plant development. Site selection is a key phase of the siting process of a nuclear plant and may significantly affect the safety and cost of the facility during its entire life cycle. The siting of nuclear power plants is one of multi-criteria problems, which makes it complex. Many interrelated factors affect the process. Six constraints and twenty-two factors corresponding to safety, environment and socio-economy were considered in the siting study presented in this paper. Multi-Criteria Decision Analysis was applied during the selection of nuclear power plants site using GIS software. Three spatial decision making models were applied in this paper during site selection stage. The binary overlay (Boolean logic) with Low Risk approach in which the logical OR operator is used to determine the candidate areas. All constraints were represented in binary maps, combined and a masking layer was created to eliminate the lands considered as constraints in Arc GIS Software. The 22 factors were represented in normalized maps after unifying all of them to 0–1 score scales based on the philosophy of suitability criteria (factors) using the Weighted Linear Combination (WLC) method. The relative scores and weight of factors which were used in the maps conducted by pairwise comparison were fed into Expert choice software that runs the Analytic Hierarchy Process. Final composite map of potential site priorities were represented by several polygons produced in MCDA add-in as an open source tool in Arc GIS 10.1. Four sites, all located along the North western and the Red Sea coasts were chosen as Candidate sites after eliminating the lowest scoring sites The Analytic Hierarchy Process (AHP) was used to select a suitable site by pairwise comparison and by calculating eigenvectors using Expert Choice software. The sites were ranked to determine the most desirable site. The El Dabaa site was found to be most suitable, followed by the East El Negila site on the Mediterranean Sea.

A GIS based identification of groundwater recharge potential zones using RS and IF technique: a case study in Ottapidaram taluk, Tuticorin district, Tamil Nadu

This study is an approach to better estimate the groundwater recharge potential zones using geographical information system (GIS), influence factor and RS techniques. This concept has been applied in Ottapidaram taluk in Tuticorin district to determine the overall groundwater recharge potentiality. Survey of India toposheets and Indian Remote Sensing-1C satellite imageries are used to prepare various thematic layers such as: lithology, slope, land use, lineament, drainage, soil, and rainfall. These layers were then transformed into raster data using the feature to raster converter tool in ArcGIS 9.3 software. Subjective weights are assigned to the respective thematic layers and overlaid in GIS platform for the identification of potential groundwater zones within the study area. These potential zones were categorized as ‘high’, ‘moderate’, and ‘low’ zones with respect to the assigned weightage of different thematic layers. The results reveal that the areas of good groundwater potential are estimated to cover 260.25 km2 (35 % of the study area), moderate potential 297.43 km2 (40 %), and low potential 185 km2 (25 %). Moreover, only 34 % of the total average annual precipitated water (680 mm) percolates into subsurface and ultimately contributes to recharge the groundwater. These results suggest that the high potential zones will have a key role in future expansion of drinking water and irrigation development in the study area.

Design and implementation of spatial database and geo-processing models for a road geo-hazard information management and risk assessment system

This paper presents a development process of a web-based road geo-hazard information management and risk assessment system which is named RGHIMS. Two technological fields, the design and implementation of an object-oriented spatial database of geo-hazard and the model building for automatic geo-hazard analysis, were discussed, respectively. In the beginning, this paper presented a detailed description of the architecture of RGHIMS where the presentation model pattern was applied in. Taking account of the attributes and behaviors of road geo-hazard data, an object-oriented geodatabase was created using unified modeling language and computer-aided software engineering tools which were provided by ArcSDE (ESRI). Furthermore, this paper discussed the steps needed for developing python-based geo-processing tools in ArcGIS, and introduced the realization of a landslide susceptibility mapping model based on the spatial database. The system has been applied in Guizhou province (a mountainous area located in the southwest of China) to assist road construction and management units in making decision to control geologic hazards and to reduce human vulnerability.

Identification of Potential Sites for Groundwater Recharge Using a GIS-Based Decision Support System in Jazan Region-Saudi Arabia

In arid and semi-arid environments, the amount of recharge received by aquifers is far more critical to the sustainable use of water than it is in humid regions. Groundwater recharge (GWR) is critical to maintain the abundance of groundwater. In the present study, suitable areas for GWR in Jazan region have been identified by using a GIS-based decision support system (DSS). The DSS was implemented to obtain suitability maps and to evaluate the existing GWR in the study area. The DSS inputs comprised maps of rainfall surplus, slope, potential runoff coefficient, land cover/use and soil texture. The spatial extents of GWR suitability areas were identified by a hierarchical process analysis that considered five layers. The model generated a GWR map with four categories of suitability: excellent, good, moderate and poor and unsuitable. The spatial distribution of these categories showed that 50.5 and 31 % of the study area was classified as excellent and good for GWR, respectively, while 16 and 2.5 % of the area were classified as moderate and poor and unsuitable, respectively. Most of the areas with excellent to good suitability have slopes of between 4 and 8 % and are intensively cultivated areas. The major soil type in the excellent to good areas is loamy sand, followed by silt loam, and the rainfall in these areas ranges from 100 to 270 mm. The locations of existing GWR dams were compared with the locations indicated on the generated suitability map using the proximity analysis tool in ArcGIS 10.1. Most (75 %) of the existing GWR structures that were categorised as successful were within the excellent and good areas, followed by moderately suitable (25 %).

Investigation of rainfall–runoff modeling for Egypt by using remote sensing and GIS integration

Egypt is characterized as a “water scarce” country, with limited fresh water supplies, and is expected to be under water stress by the year 2030. Therefore, it is important to develop any available means to supply water to maintain human life, such as runoff harvesting approach. The curve number (CN) is a hydrologic parameter used to describe the stormwater runoff potential for drainage areas, and it is a function of land use, soil type, and soil moisture. This study was conducted to estimate the potential runoff coefficient (PRC) using geographic information system (GIS) based on the area's hydrologic soil group (HSG), land use, slope and determine the runoff volume. The soil map of Egypt was extracted from the soil map of the world and then was used in building a soil hydrological group map. Landsat image 5/7 TM/ETM was incorporated with land cover data to generate land use and land cover (LULC) map. Slope map for Egypt was generated from a 30m DEM. The GIS technique was used to generate PRC map. Annual runoff depth is derived based on the annual rainfall surplus and runoff coefficient per pixel using raster calculator tool in ArcGIS. A variation from as low as 0 to a maximum of 180mm was observed due to divergence in topography and climate in Egypt where the largest rainfall was observed in the northern part of the country. Generally, the result of this study indicates that in the absence of reliable ground measurements of rainfall, the product can satisfactorily be applied to estimate the spatial rainfall distribution based on values of R and R2 (0.94) obtained.

Geocoding for public health research: Empirical comparison of two geocoding services applied to Canadian cities

AbstractThe process of geocoding, particularly the street address matching process, is a commonly used technique to obtain locational information for public health research. In health care accessibility research, geocoded locations of health care providers are an essential element for measuring potential access to health care. Our objective is to compare the geocoding match rates and positional variation of two geocoding procedures by using street network and postal code datasets to geocode primary health care services in 14 cities. The first procedure uses a manually built geocoding service using DMTI Spatial (DMTI) reference datasets while the second employs an online geocoding service provided as a built‐in tool in ArcGIS, with ESRI Tele Atlas reference datasets. Results for Tele Atlas postal code and DMTI multiple enhanced postal codes (MEP) reference datasets produce much higher match rates (99.4%; 98.0% respectively) than street reference datsasets; while results of Tele Atlas street dataset produce better match rates (96.5%) than the DMTI street dataset (90.0%). Geocoding methods using Tele Atlas and DMTI Street datasets produce more accurate locations than postal code and MEP reference datasets. Empirical comparison of the geocoding results based on manually built and online geocoding services highlight the need for integrated geocoding procedures for increasing match rates with reduced positional uncertainty.

Delineation of potential sites for groundwater recharge using a GIS-based decision support system

In arid and semi-arid regions without perennial water sources such as rivers or lakes, almost all water supply needs are met by groundwater. Groundwater recharge (GWR) is critical to maintain the abundance of groundwater. This paper presents a methodology based on a decision support system (DSS) that combines remote sensing, field survey and geographic information system techniques to identify suitable GWR areas. The DSS was implemented to obtain suitability maps and to evaluate the existing GWR in the study area. The DSS inputs comprised maps of rainfall surplus, slope, potential runoff coefficient, land cover/use and soil texture. The spatial extents of GWR suitability areas were identified by a hierarchical process analysis that considered five layers. The model generated a GWR map with four categories of suitability: excellent, good, moderate and poor and unsuitable. The spatial distribution of these categories showed that 0.08 and 32.3 % of the study area was classified as excellent and good for GWR, respectively, while 63.2 and 4.42 % of the area was classified as moderate and poor and unsuitable, respectively. Most of the areas with excellent to good suitability have slopes of between 4 and 8 % and are intensively cultivated areas. The major soil type in the excellent to good areas is loam, followed by clay loam, and the rainfall in these areas ranges from 150 to 260 mm. Another suitability model, in which all criteria were assigned equal influence, generated a suitability map in which 0.1 % of the study area was rated as excellent, 10.9 % as good, 82 % as moderate and 7 % as poor and unsuitable. The locations of existing GWR dams were compared with the locations indicated on the generated suitability map using the proximity analysis tool in ArcGIS 10.1. Most (77 %) of the existing GWR structures that were categorised as successful were within the excellent and good areas, followed by moderately suitable (23 %).

Spatial epidemiological techniques in cholera mapping and analysis towards a local scale predictive modelling

Cholera spatial epidemiology is the study of the spread and control of the disease spatial pattern and epidemics. Previous studies have shown that multi-factorial causation such as human behaviour, ecology and other infectious risk factors influence the disease outbreaks. Thus, understanding spatial pattern and possible interrelationship factors of the outbreaks are crucial to be explored an in-depth study. This study focuses on the integration of geographical information system (GIS) and epidemiological techniques in exploratory analyzing the cholera spatial pattern and distribution in the selected district of Sabah. Spatial Statistic and Pattern tools in ArcGIS and Microsoft Excel software were utilized to map and analyze the reported cholera cases and other data used. Meanwhile, cohort study in epidemiological technique was applied to investigate multiple outcomes of the disease exposure. The general spatial pattern of cholera was highly clustered showed the disease spread easily at a place or person to others especially 1500 meters from the infected person and locations. Although the cholera outbreaks in the districts are not critical, it could be endemic at the crowded areas, unhygienic environment, and close to contaminated water. It was also strongly believed that the coastal water of the study areas has possible relationship with the cholera transmission and phytoplankton bloom since the areas recorded higher cases. GIS demonstrates a vital spatial epidemiological technique in determining the distribution pattern and elucidating the hypotheses generating of the disease. The next research would be applying some advanced geo-analysis methods and other disease risk factors for producing a significant a local scale predictive risk model of the disease in Malaysia.

Determination of potential runoff coefficient for Al-Baha Region, Saudi Arabia using GIS

The curve number (CN) is a hydrologic parameter used to describe the stormwater runoff potential for drainage areas, and it is a function of land use, soil type, and soil moisture. This study was conducted to estimate the potential runoff coefficient (PRC) using geographic information system (GIS) based on the area’s hydrologic soil group, land use, and slope and to determine the runoff volume. The soil map for the study area was developed using GPS data carried on to identify the soil texture to be used in building a soil hydrological groups map. Unsupervised and supervised classifications were done to Landsat 5/7 TM/ETM image to generate land-use and land-cover map. This map was reclassified into four main classes (forest, grass and shrub, cropland, and bare soil). Slope map for Al-Baha was generated from a 30-m digital elevation model. The GIS technique was used to combine the previous three maps into one map to generate PRC map. Annual runoff depth is derived based on the annual rainfall surplus and runoff coefficient per pixel using raster calculator tool in ArcGIS. An indication that in the absence of reliable ground measurements of rainfall product, it can satisfactorily be applied to estimate the spatial rainfall distribution based on values of R and R 2 (0.9998) obtained. Annual runoff generation from the study area ranged from 0 to 82 % of the total rainfall. Rainfall distribution in the study area shows the wise use of identifying suitable sites for rainwater harvesting, where most of the constructed dams are located in the higher rainfall areas.

The Phobos information system

We have developed a Geo-information system (GIS) for Phobos, based on data from the Mars Express and Viking Orbiter missions, which includes orthoimages, global maps, terrain- and gravity field models, all referenced to the Phobos coordinate system. The data are conveniently stored in the ArcGIS software system, which provides an environment for mapping and which allows us to carry out joint data analysis and miscellaneous data cross-comparisons. We have compiled catalogs of Phobos craters using manual and automated techniques, which includes about 5500 and 6400 craters correspondingly. While crater numbers are biased by available image data resolution and illumination, we estimate that our catalog of manually detected craters contains all Phobos craters with diameters D>250m which is a total of 1072 and catalog of automated detected craters are complete for craters D>400m (360 craters). Statistical analysis of these large craters reveals a surplus of craters on the anti-Mars hemisphere, whereas differences in crater abundance between leading and trailing hemisphere cannot be confirmed. This in contrast to previous papers, where no such asymmetry was found (Schmedemann et al., 2014). But we cannot rule out remaining biases due to resolution, viewing angles or illumination effects. Using digital terrain model (DTM) derived from photogrammetry image processing we estimate depths of 25 craters larger than 2 km using geometric and dynamic heights (for discussion of Phobos crater morphometry see Kokhanov et al., 2014). We also have compiled catalogs of lineaments, and boulders. In particular, we mapped 546 individual grooves or crater chains, which extend in length from 0.3km to 16.2km. We identified and determined the sizes and locations of 1379 boulders near crater Stickney. Cross-comparisons of gravity field models against distribution patterns of grooves and boulders are currently under way and may shed light on their possible origins. Finally, we have developed a Geo-portal, which allows the science community to conveniently search for, analyze, and download data of interest from our system. Additionally we provide access to color electronic maps (e-maps) with support for layers based on Phobos geodatabase and ArcGIS tools.