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References Ankana, (2015). General characteristics of relief and its analysis using remote sensing and GIS: A case study. International Journal of Remote Sensing & Geoscience (IJRSG), 4(5), 28-34. Ankana (2015), Watershed Prioritization in Natural Resource Management using Remote Sensing and GIS: A Case Study, African Journal of Science and Research, 3(4), 28-31 Adeniyi, P. O., (1980). Land-use change analysis using sequential aerial photography and computer technique. Photogrammetric Engineering and Remote

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Sumanta Das, Malini Roy Choudhury, Subhasish Das and M. Nagarajan

. (2013). Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review, Advances in Remote Sensing , Vol. 2 No. 4, 373–385. DOI: 10.4236/ars.2013.24040 Al-Mashreki, M. H., Akhir, J. B., Rahim, S. A., Desa, K. M. and Rahman, Z. A. (2010). Remote sensing and GIS application for assessment of land suitability potential for agriculture in the IBB Governorate, the Republic of Yemen. Pakistan Journal of Biological Sciences , 13, 1116–1128. Astaraei, Ali Reza1; Sanaeinejad, S. H, M. Mir Hosseini, Parisa, Ghaemi

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Wolfgang Sulzer, Josef Gspurning, Martin Magnes, Richard Pink, Marc Muick and Philipp Sengl

References Amt der Steiermärkischen Landesregierung (2008). Biotoptypen - Katalog der Steiermark. Amt der Steiermärkischen Landesregierung Fachabteilung 13C Naturschutz. Angold, P.G., Gurnell, A.M. & Edwards P.J. (1996). Locational errors in maps from environmental surveys and their implications for information extraction. J.Environ. Manag., 47, 341−354. Bock, M. (2003). Remote sensing and GIS-based techniques for the classification and monitoring of biotopes. J. Nat.Conserv., 11, 145-155. http

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Richarde Da Silva, Celso Santos, Suzana Montenegro and Leonardo E Silva

estimation by remote sensing for soil loss equation: a case in the upper basin of Miyun Reservoir. IEEE Transactions 1-4. DABRAL P. P., BAITHURI N., PANDEY A., 2008: Soil erosion assessment in a hilly catchment of North Eastern India using USLE, GIS and remote sensing. Water Resour. Management 22, 1783-1798. De ASIS A. M., OMASA K., 2004: Estimation of vegetation parameter for modeling soil erosion using linear Spectral Mixture Analysis of Landsat ETM data. J. Photogramm. Engng and Remore Sens. 62, 309

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Firoz Ahmad, Md Meraj Uddin and Laxmi Goparaju

.(2018c) Wild life habitat suitability and conservation hotspot mapping: Remote Sensing and GIS based decision support system. AIMS Geosciences, 4(1): 66-87. doi: 10.3934/geosci.2018.1.66. Ahmad, F., Uddin, M.M. & Goparaju, L. (2018a) Agroforestry suitability mapping of India: geospatial approach based on FAO guidelines Agroforest Syst Ahmad, F., Uddin, M.M. & Goparaju, L. (2018b) Geospatial application for agroforestry suitability mapping based on FAO guideline: case study of Lohardaga, Jharkhand State of India

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Novica Lovric and Radislav Tosic

S., 2014. Land use changes caused by bank erosion along the lower part of the Bosna River from 2001 to 2013, Bulletin of the Serbian Geographical Society 94(4): 49-58. DOI: 10.2298/GSGD1404049T Wellmeyer J., Slattery M., Phillips J., 2005. Quantifying downstream impacts of impoundment on flow regime and channel planform, lower Trinity River, Texas. Geomorphology 69(1-4): 1-13. DOI: 10.1016/j.geomorph. 2004.09.034 Weng Q., 2002. Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and

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Firoz Ahmad and Laxmi Goparaju

, UK. Bowman, D.M. et al. (2009) Fire in the earth system. Science, 324, 481–484. DOI: 10.1126/science.1163886. Bradstock, R. A. (2010) A biogeographical model of fire regimes in Australia: current and future implications. Global Ecology and Biogeography 19:145–158. Carcaillet, C. & Richard, P. J. H. (2000) “Holocene changes in seasonal precipitation highlighted by fire incidence in eastern Canada,” Climate Dynamics, vol. 16 (7): 549–559. Chuvieco, E., & Congalton, R. G. (1989). Application of remote-sensing and geographic information

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Megersa Olumana Dinka and Degefa Dhuga Chaka

. 104. Iss. 1 p. 185–228. B utt A., S habbir R., A hmad S.S., A ziz N. 2015. Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan. The Egyptian Journal of Remote Sensing and Space Sciences. Vol. 18 p. 251–259. C ao H., L iu J., F u C., Z hang W., W ang G., Y ang G., L uo L. 2017. Urban expansion and its impact on the land use pattern in Xishuangbanna since the reform and opening up of China. Remote Sensing. Vol. 9. Iss. 2. DOI 10.3390/rs9020137. C hase T.N., P ielke R

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Andrzej Chybicki, Marcin Kulawiak and Zbigniew Łubniewski

. Cristobal J., Poyatos R., Ninyerola M., Llorens P.: Combining remote sensing and GIS climate modelling to estimate daily forest evapotranspiration in a Mediterranean mountain area. Hydrology and Earth System Sciences Discussions, 15/2011, 1563-1575. 5. Dąbrowski J., Kulawiak M., Moszyński M., Bruniecki K., Kamiński Ł., Chybicki A., Stepnowski A.: Real-time web-based GIS for analysis, visualization and integration of marine environment data. In: Information Fusion and Geographic Information Systems, Springer Berlin Heidelberg, 2009, 277

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Mammo Siraj, Kebin Zhang and Kidane Moges

REFERENCES Agarwal, S., Puri, K., Areendran, G., Raj, K., Govil, H., Mazumdar, S., &Munsi, M (2010). Forest Change analysis of Jim Corbett National Park, Uttarakhand : A remote sensing and GIS approach. ESRI India User Conference. Agrawal, A. & Angelsen, A. (2009). Using community forest management to achieve REDD+ goals. In A. Angelsen, ed., Realising REDD+: national strategy and policy options (pp. 1-10). Bogor, Center for International Forestry Research. Alemayehu, F., Taha, N., Nyssen, J., Girma, A., Zenebe, A., Behailu, M. &Poesen, J