Analysis of panoramio photo tags in order to extract land use information

In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.

Land cover mapping analysis and urban growth modeling using remote sensing techniques

The rapid growth of big cities has been noticed since 1950s when the majority of world population turned to live in urban areas rather than villages, seeking better job opportunities and higher quality of services and lifestyle circumstances. This demographic transition from rural to urban is expected to have a continuous increase. Governments, especially in less developed countries, are going to face more challenges in different sectors, raising the essence of understanding the spatial pattern of the growth for an effective urban planning. The study aimed to detect, analyse and model the urban growth in Greater Cairo Region (GCR) as one of the fast growing mega cities in the world using remote sensing data. Knowing the current and estimated urbanization situation in GCR will help decision makers in Egypt to adjust their plans and develop new ones. These plans should focus on resources reallocation to overcome the problems arising in the future and to achieve a sustainable development of urban areas, especially after the high percentage of illegal settlements which took place in the last decades. The study focused on a period of 30 years; from 1984 to 2014, and the major transitions to urban were modelled to predict the future scenarios in 2025. Three satellite images of different time stamps (1984, 2003 and 2014) were classified using Support Vector Machines (SVM) classifier, then the land cover changes were detected by applying a high level mapping technique. Later the results were analyzed for higher accurate estimations of the urban growth in the future in 2025 using Land Change Modeler (LCM) embedded in IDRISI software. Moreover, the spatial and temporal urban growth patterns were analyzed using statistical metrics developed in FRAGSTATS software. The study resulted in an overall classification accuracy of 96%, 97.3% and 96.3% for 1984, 2003 and 2014’s map, respectively. Between 1984 and 2003, 19 179 hectares of vegetation and 21 417 hectares of desert changed to urban, while from 2003 to 2014, the transitions to urban from both land cover classes were found to be 16 486 and 31 045 hectares, respectively. The model results indicated that 14% of the vegetation and 4% of the desert in 2014 will turn into urban in 2025, representing 16 512 and 24 687 hectares, respectively.

Generalized Dasymetric Mapping Algorithm for Accessing Land-Use Change

Contém resumo

Land of the rising soy an internationalization plan for nutre to the Japanese Soy milk market

The present work project studies the next step in the internationalization process of Shoyce, the soy milk products brand of Nutre. In order to select the best target market in the Asia-Pacific for Nutre to export, a sequential screening process was developed using two complementary approaches: preliminary country screening and country ranking, followed by an in-depth analysis of the country ranking first. The analysis revealed Japan as the most attractive country for Shoyce’s international expansion. Potential entry modes in the Japanese soy milk market were then evaluated, whereby direct exporting via a local distributor was found to be the most appropriate.

Assessment of NDVI, land surface temperature and precipitation anomalies for drought monitoring in Bayankhongor province, Mongolia

During the last decade Mongolia’s region was characterized by a rapid increase of both severity and frequency of drought events, leading to pasture reduction. Drought monitoring and assessment plays an important role in the region’s early warning systems as a way to mitigate the negative impacts in social, economic and environmental sectors. Nowadays it is possible to access information related to the hydrologic cycle through remote sensing, which provides a continuous monitoring of variables over very large areas where the weather stations are sparse. The present thesis aimed to explore the possibility of using NDVI as a potential drought indicator by studying anomaly patterns and correlations with other two climate variables, LST and precipitation. The study covered the growing season (March to September) of a fifteen year period, between 2000 and 2014, for Bayankhongor province in southwest Mongolia. The datasets used were MODIS NDVI, LST and TRMM Precipitation, which processing and analysis was supported by QGIS software and Python programming language. Monthly anomaly correlations between NDVI-LST and NDVI-Precipitation were generated as well as temporal correlations for the growing season for known drought years (2001, 2002 and 2009). The results show that the three variables follow a seasonal pattern expected for a northern hemisphere region, with occurrence of the rainy season in the summer months. The values of both NDVI and precipitation are remarkably low while LST values are high, which is explained by the region’s climate and ecosystems. The NDVI average, generally, reached higher values with high precipitation values and low LST values. The year of 2001 was the driest year of the time-series, while 2003 was the wet year with healthier vegetation. Monthly correlations registered weak results with low significance, with exception of NDVI-LST and NDVI-Precipitation correlations for June, July and August of 2002. The temporal correlations for the growing season also revealed weak results. The overall relationship between the variables anomalies showed weak correlation results with low significance, which suggests that an accurate answer for predicting drought using the relation between NDVI, LST and Precipitation cannot be given. Additional research should take place in order to achieve more conclusive results. However the NDVI anomaly images show that NDVI is a suitable drought index for Bayankhongor province.

Scenario-based assessment of future land use change on butterfly species distributions

Species distribution models (SDMs) are increasingly used to predict environmentally induced range shifts of habitats of plant and animal species. Consequently SDMs are valuable tools for scientifically based conservation decisions. The aims of this paper are (1) to identify important drivers of butterfly species persistence or extinction, and (2) to analyse the responses of endangered butterfly species of dry grasslands and wetlands to likely future landscape changes in Switzerland. Future land use was represented by four scenarios describing: (1) ongoing land use changes as observed at the end of the last century; (2) a liberalisation of the agricultural markets; (3) a slightly lowered agricultural production; and (4) a strongly lowered agricultural production. Two model approaches have been applied. The first (logistic regression with principal components) explains what environmental variables have significant impact on species presence (and absence). The second (predictive SDM) is used to project species distribution under current and likely future land uses. The results of the explanatory analyses reveal that four principal components related to urbanisation, abandonment of open land and intensive agricultural practices as well as two climate parameters are primary drivers of species occurrence (decline). The scenario analyses show that lowered agricultural production is likely to favour dry grassland species due to an increase of non-intensively used land, open canopy forests, and overgrown areas. In the liberalisation scenario dry grassland species show a decrease in abundance due to a strong increase of forested patches. Wetland butterfly species would decrease under all four scenarios as their habitats become overgrown

Charta öfver Åland : Del. C. T.

Tekijä: Christophorus Tärnström, 1711-1746, laivapastori, tutkimusmatkailija.

Land Use Map

This map shows the entire campus master plan and details what each area of land would be used for.

Eleanor Ostrander Land Grant, 1801

Eleanor Ostrander, daughter of John Clark, and wife of Jacob Ostrander, petitioned for land on March 28, 1797. In her petition she describes herself as the daughter of a loyalist, John Clark, someone who served in “His Majesty’s Service” and that she came into the Province in 1788. Upon this information, Eleanor was granted 200 acres of land in Thorold Township, comprising of lots 115 and 169. Eleanor Clark (b. 1777) and Jacob Ostrander were married 5 October 1794 in St. Mark’s Church, Niagara-on-the-Lake, Ont.

Books on the border land : a Mennonite woman's memoir of reading and remembering the sacred

This arts-based thesis, written from my perspective as a Manitoba Mennonite woman and English Language Arts educator, is a memoir of books and reading. As a voracious reader, I am dismayed by the general perception of literacy in public schools as being a set of measureable tasks, and I have found that reading, in particular, has become divorced from its traditional link to life-giving and sacred things. In this thesis, I used life writing to share some of my reading history to illustrate, in part, the degree to which books may enrich our lives by helping us understand the past, present, and future - but only if we allow them to do so.

Welland Canal Survey of Lands Robert Brown 1827, land description #2

Survey map and description of Robert Brown's land created by The Welland Canal Company. Included is a two page written description of the land along with a drawing of the land. Noteable features include; line between Grantham and Louth townships, bed of the 12 mile creek. Surveyor notes are seen in pencil on the map, including notes about the deed to the land.

Welland Canal Survey of Lands Company Land in Dunnville, 1834

Survey map and description of the land belonging to the Welland Canal Company at Dunnville. Created by The Welland Canal Company. Included is a written description of the land along with a drawing of the land. There are two seperate surveys done for the lands: Survey #1 (Pp. 148-149) noteable features include; the Grand River, the original boundry of the Grand River, marsh overflow, marsh, feeder river, bridge, Broad street, Lock street, Main street, embankment, dam (600 ft.), lines between lots, reserve for the ships yard, reserve for lock and dry dock, lands occupied by the canal and towpath to guard gate. The land totals 9 acres, and 3 roads, including the street. Survey #2 (Pp. 150-151) completed by George Keefer noteable features include; embankment, marsh overflow, original channel of the Grand River, salt spring, bridges, wier, proposed waste wier, Van Riper's home, proposed bridge, sulphur spring, road, Sulphur Creek, division between lots 12-17. The land totals 27 acres, and 2 perches. Surveyors notes can be seen in pencil and red ink on the survey.See also Pp. 148-151

Welland Canal Survey of Lands Welland Canal Company Land in Thorold, 1834

Survey map of the lands of the Welland Canal Company in Thorold. Created by The Welland Canal Company. Noteable features include; Company's land, reservoir, channel of canal, bridge, Pine street, Mullen street, lot divisions. The plan is titled "Plan of Lands belonging to the Welland Canal Company being the West half of lot no. 29 and the East half of lot no.30 in the township of Thorold, adjoining Marlats Reservoir laid out in town lots, November 24th, 1834". Surveyor notes are seen in pencil on the map.

Land Indenture Between Daniel Robins and George Hansil- December 2, 1814

An indenture of land sold from Daniel Robins of Thorold to George Hansil of Pelham for Lot 32 (100 acres) in the 5th Concession of the Township of Wainfleet.