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Comparison of Two RUSLE Models at the Hillslope Scale in Experimental Plots in Haiyuan, Ningxia, China

Conservation Organisation Conference – Brisbane, Australia. Quan, Bin, M. J. M. Römkens, Rui Li, Fang Wang, Jie Chen (2011), Effect of land use and land cover change on soil erosion and the spatio-temporal variation in Liupan Mountain Region, southern Ningxia, China, Frontiers of Environmental Science and Engineering in China . 5 (4): 564–572. Wei, Wei, Liding Chen, Bojie Fu, Jin Chen (2010), Water erosion response to rainfall and land use in different drought-level years in a loess hilly area of China, Catena . 81 : 24-31. Wei, Wei, Liding Chen, Bojie

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Calculation Approaches of the Probable Maximum Discharge of Spring Flood at Ungauged Sites in the Southern Buh River Basin, Ukraine

.6001/energetika.v61i2.3134 Gorbachova, L. (2015b), Modern intra-annual distribution of water runoff in Ukraine’s river, Ukrainian Geographical Journal , 3, 16-23, doi.org/10.15407/ugz2015.03.016 [In Ukrainian with English summary]. Gorbachova, L.O., Barandich, S.L. (2016), Spatio-temporal fluctuations of maximum flow of spring floods and snow-rain floods of Ukrainian rivers, Proceedings of UHMI, 269, 107-114. [In Ukrainian with English summary]. Hall, J., Arheimer, B., Borga, M., Brázdil, R., Claps, P., Kiss, A., Kriauciuniene, J., … Blöschl, G. (2014

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Modeling Spatio-Temporal Shoreline Shifting of a Coastal Island in Bangladesh Using Geospatial Techniques and DSAS Extension

/south_asia/7532949.stm (January 28, 2017). Emran, A., Rob, M. A., Kabir, M. H., & Islam, M. N. (2016). Modeling spatio-temporal shoreline and areal dynamics of coastal island using geospatial technique. Modeling Earth Systems and Environment, 2(1), 4, http://link.springer.com/10.1007/s40808-015-0060-z (January 26, 2017). Estrada, F., Perron, P., Gay-García, C., & Martínez-López, B. (2013). A time-series analysis of the 20th century climate simulations produced for the IPCC’s Fourth Assessment Report. PloS one, 8(3), e60017. Foody, G

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A Landsat 8 OLI Satellite Data-Based Assessment of Spatio-Temporal Variations of Lake Sevan Phytoplankton Biomass

transfer code for Landsat TM images. International Journal of Remote Sensing, 22(2-3), 487-502. Dalu, T., Dube, T., Froneman, P.W., Sachikonye, T.B., Clegg, B.W. and Nhiwatiwa, T. (2015). An assessment of chlorophyll-a concentration spatio-temporal variation using Landsat satellite data, in a small tropical reservoir. Geocarto International, 30(10), 1130-1143. Heblinski, J., Schmieder, K., Heege, T., Agyemang, T.K., Sayadyan, H. and Vardanyan, L. (2011). High-resolution satellite remote sensing of littoral vegetation of Lake Sevan (Armenia

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Spatio-Temporal Change of Land Surface Temperature at Tiris Geothermal Potential Area, East Java, Indonesia.

Abstract

One of the areas that have geothermal potential in Indonesia is Tiris because there are found some manifestation in the form of hot springs. Several studies are needed to determine its geothermal potential before exploitation is carried out. Some previous studies have been carried out in the area, one of which uses Landsat 7 remote sensing data. There are other studies that state that knowledge of geology is needed to implement remote sensing in determining geothermal areas. This study uses 3-years data from Landsat 8 and geological information from the regional geological map of the study area. The result show changes in the value of Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) from year to year, where each year the NDVI value decrease which is interpreted as reduced vegetation in the study area. From the distribution of LST values in the study area, it was found that there were hot spots that had higher temperatures than the surrounding area. When geological information and LST distribution map overlaid with regional geological maps, it is known that the hot spots inside the research area are possible to be a geothermal reservoir.

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Rainfall Variability and Trend Analysis of Multiannual Rainfall in Romanian Plain

., Douville H., Spagnoli B. (2005). Impact du réchauffement climatique sur le cycle hydrologique, Compte Rendu.Geoscience , vol. 337, issue 1-2, 193–202, DOI: https://doi.org/10.1016/j.crte.2004.10.003 . Prăvălie R., Bandoc G., Patriche C., Tomescu M. (2016). Spatio-temporal of mean air temperature during 1961-2009 and impacts on crop (maize) yieilds in the most important agricultural region of Romania. Stochastic Environmental Research and Risk Assessment , pp. 1-17, DOI: https://doi.org/10.1007/s00477-016-1278-7 . Prăvălie R., Zaharia L., Bandoc G

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Investiganting Correlation LST and Vegetation Indices Using Landsat Images for the Warmest Month: A Case Study of Iasi County

References Anbazhagan S., Paramasivam C.R., (2016). Statistical Correlation between Land Surface Temperature (LST) and Vegetation Index (NDVI) using Multi-Temporal Landsat TM Data. Int. Journal of Advanced Earth Science and Engineering 2016, Vol. 5, pp. 333-346. Bannari A., Morin D., Bonn F., Huete A.R., (1995). A review of vegetation indices, Journal Remote Sensing Reviews Volume 13, 1995 - Issue 1-2, Barsi J. C., Tu Q., Davidson E. H., (2014). General approach for in vivo recovery of cell typespecific effector gene sets

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Monitoring Long-Term Air Temperature Regime in Banat (Romania)

Abstract

Banat, a region situated in the western and south-western extremity of Romania, benefits from a defense network of meteorological stations in which a meteorological long-term monitoring activity of approximately 150 years is being carried out. Geographical position and diversity of physico-geographical conditions, under the influence of atmospheric circulation factors, determine both the major features of the climate in this region, as well as its local nuances. In order to analyze the spatial and temporal distribution of air temperature in Banat, we collected data strings and continuous meteorological observations from 14 weather stations in this area over a 35 years period (1979-2013). In Banat the air temperature regime presents a series of particularities and a patchy distribution as a result of the interaction of dynamic processes with the great diversity of these physicogeographical conditions. Analyzing the meteorological data strings one can observe that the air temperature varies in Banat, both spatially, from one meteorological station to another, and temporally from one year to another, from one semester to another, from one season to another but also from one month to the next due to the frequency and intensity of the advection of the different masses of air. The analysis of the air temperature and the thermal regime in Banat region confirms the moderate climate, with quite strong Oceanic influences from the western part of Europe and the weaker sub-Mediterranean influences, from the southwestern part of the continent. However, as a consequence of the global climate changes we are witnessing, at least in the last 50 years, there has also been a trend in Banat to increase the average annual temperature.

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Geo-Spatial Mapping of Land Use and Land Cover Changes in the Core and Periphery Area of Ranthambore Tiger Reserve, Rajasthan, India, 1975–2015

Abstract

In the near future, natural resources are very rapidly diminishing all over the globe. Which is very unhealthy for land ecosystem services. In the biodiversity, Tiger is an icon of healthy wildlife which is considered as a vital factor for maintaining Universal Food Chain System. This research paper is based on “Geo-Spatial Mapping of land use and land cover changes in the Core and Periphery Area of Ranthambore Tiger Reserve, Rajasthan, India, 1975-2015, it’s a micro level Study based on primary and secondary data through GIS mapping and consider as a Socio-Economic & Physical factors to inter-connect with Tiger habitats. Especially, core and periphery LULC have been obtained from the Multispectral images from ETM and ETM+ sensors of Landsat and LISS-III and AWiFS sensors of Resourcesat-satellites. This study examines the spatial and temporal patterns of LULC change along the boundary of Ranthambhore in the Rajasthan from 1975 to 2015. Tiger Landscape change within all ecological zones will be evaluated. The Landsat TM and ETM imagery will be used to produce LULC classification maps for both areas using a hybrid supervised/unsupervised methods. LULC changes are measured using landscape metrics and change maps created by post-classification through change detection. Using all the raster maps and the final change detection of the reserve will be done through spatial analysis using the raster calculator tool in ArcGIS and Erdas and MS Excel 13. The study comes out with land use and land cover change in core and periphery areas of the reserve. The research also describes Human Encroachment, Impact on human colonization, interfere with domestic animals, Interbreeding, and the Migration in core and periphery areas, finally, the situation would be alarming for biodiversity of tiger habitat due to the high pressure of anthropogenic activities.

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Economic Impact of Accommodation Structures on the Local Territorial System

Muntele I., Iaţu C., (2003). Geografia turismului: concepte, metode şi forme de manifestare spatio-temporală [ Tourism Geography: concepts, methods and spatio-temporal manifestations ], Edit. Universităţii Al. I. Cuza, Iaşi; Snak O., (1976). Economia şi organizarea turismului, [ Economy and tourism organization ] Editura Sport Turism, Bucureşti Snak O., Neacşu N., Baron P., (2001). Economia turismului, [ Tourism economy ] Editura Expert, Bucureşti; Stanciulescu G., (2003). Managementul operaţiunilor de turism, [ Management operations of tourism

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