References
- Abou-Shaara, H.F., Al-Ghamdi, A.A., & Mohamed, A.A. (2013). A Suitability Map for Keeping Honey Bees Under Harsh Environmental Conditions Using Geographical Information System. World Applied Sciences Journal, 22, 1099–1105.
- Adgaba, N., Alghamdi, A., Sammoud, R., Shenkute, A., Tadesse, Y., Ansari, MJ., Sharma, D., Hepburn, C. (2017). Determining spatio-temporal distribution of bee forage species of Al-Baha region based on ground inventorying supported with GIS applications and Remote Sensed Satellite Image analysis. Saudi Journal of Biological Sciences, 24(5), 1038–1044. DOI: 10.1016/j.sjbs.2017.01.009
- Ahmad, F., (2013). Phenologically-tuned MODIS ND-VI-based time series (2000–2012) for monitoring of vegetation and climate change in north-eastern Punjab, Pakistan. Global Journal of Human-Social Science, 12(13-B), 37–54.
- Amiri, F., & Shariff, M.A. (2012). Application of geographic information systems in land-use suitability evaluation for beekeeping: A case study of Vahregan watershed (Iran). African Journal of Agricultural Research, 7(1), 89–97.
- Arentze, T.A., & Timmermans, H.J.P. (2000). ALBA-TROSS: A Learning-based Transportation Oriented Simulation System. EIRASS, Eindhoven University of Technology, The Netherlands.
- Arundel, J., Winter S., Gui, G., & Keatley, M. (2016). A web-based application for beekeepers to visualise patterns of growth in floral resources using MODIS data. Environmental Modelling & Software, 83, 116–125.
- Beck, P.S.A., Atzberger, C., Høgda, K.A., Johansen, B., Skidmore, A.K. (2006). Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI. Remote Sensing and Environment, 100(3), 321–334. http://dx.doi.org/10.1016/j.rse.2005.10.021
- Bian, J., Li, A., Song, M., Ma, L., Jiang, J. (2010). Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter. Journal of Remote Sensing, 14(4), 725–741.
- Camargo, S.C., Garcia, R.C., Feiden, A., Vasconcelos, E.S., Pires., B.G., Hartleben, A.M. ... Pereira, D.J. (2014). Implementation of a geographic information system (GIS) for the planning of beekeeping in the west region of Paraná. Annals of the Brazilian Academy of Sciences, 86(2), 955–971. http://dx.doi.org/10.1590/0001-3765201420130278
- Chen, Y., Yua, J., & Khan, S. (2010). Spatial sensitivity analysis of multi-criteria weights in GIS-based land suitability evaluation. Environmental Modelling & Software, 25, 1582–1591.
- Damián, G.C. (2016). GIS-based optimal localisation of beekeeping in rural Kenya Master's degree thesis, 30/credits in Master in Geographical Information Sciences Department of Physical Geography and Ecosystems Science, Lund University.
- Eckert, S., Hüsler, F., Liniger, H., & Hodel, E. (2015). Trend analysis of MODIS NDVI time series for detecting land degradation and regeneration in Mongolia. The Journal of Arid Environments, 113, 16–28. http://dx.doi.org/10.1016/j.jaridenv.2014.09.001
- Estoque, R.C., & Murayama, Y. (2010). Suitability Analysis for Beekeeping Sites in La Union, Philippines, Using GIS and Multi-Criteria Evaluation Techniques. Research Journal of Applied Sciences, 5(3), 242–253.
- Estoque, R.C., & Murayama, Y. (2011). Suitability Analysis for Beekeeping Sites Integrating GIS & MCE Techniques. Spatial Analysis and Modeling in Geographical Transformation Process. 978-94-007-0670-5. Springer Netherlands.
- Fernandez, P., Roque, N., & Anjos, O. (2016). Spatial multicriteria decision analysis to potential beekeeping assessment. Case study: Montesinho Natural Park (Portugal). In: Sarjakoski, T., Santos, M.Y., Sarjakoski, L.T. (Eds.), 19th AGILE International Conference on Geographic Information Science - Geospatial Data in a Changing World, Helsinki, Finland.
- FAO, (1976). A framework for land evaluation. Soils Bulletin 32, Food and Agriculture Organization of the United Nations, Rome.
- Fontana, F., Rixen, C., Jonas, T., Aberegg, G., Wunderle, S. (2008). Alpine grassland phenology as seen in AVHRR, VEGETATION, and MODIS NDVI time series e a comparison with in situ measurements. Sensors, 8(4), 2833–2853.
- Hall, A., Lamb, D.W., Holzapfel, B., & Louis, J. (2002). Optical remote sensing applications in viticulture - a review, Australian Journal of Grape and Wine Research, 8, 36–47.
- Heumann, B.W., Seaquist, J.W., Eklundh, L., & Jönsson, P. (2007). AVHRR Derived Phenological Change in the Sahel and Soudan, Africa, 1982–2005. Remote Sensing and Environment, 108, 385–392. DOI: 10.1016/j.rse.2006.11.025
- Jarlan, L., Mangiarotti, S., Mougin, E., Mazzega, P., Hiernaux, P., Le Dantec, V. (2008). Assimilation of spot/vegetation NDVI data into a Sahelian vegetation dynamics model. Remote Sensing and Environment, 112, 1381–1394.
- Karlsen, S.R., Tolvanen, A., Kubin, E., Poikolainen, J., Høgda, K.A., Johansen, B., Makarova, O. (2008). MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia. International. Journal of Applied Earth Observations, 10, 253–266. DOI: 10.1016/j.jag.2007.10.005
- Landmann, T., Piiroinen, R., Makori, DM., Abdel-Rahman, E., Makau, S., Pellikka, P., Raina, SK. (2015). Application of hyperspectral remote sensing for flower mapping in African savannas, Remote Sensing of Environment, 166, 50–60.
- Lange, M., Dechant, B., Rebmann, C., Vohland, M., Cuntz, M., Doktor, D. (2017). Validating MODIS and Sentinel-2 NDVI Products at a Temperate Deciduous Forest Site Using Two Independent Ground-Based Sensors. Sensors, 17, 1855.
- Maris, N., Mansor, S., & Shafri, H. (2008). Apicultural Site Zonation Using GIS and Multi-Criteria Decision Analysis. Pertanika Journal of Tropical Agricultural Science, 31(2), 147 – 162.
- Myneni, R.B., Keeling, C.D., Tucker, C.J., Asrar, G., Nemani, R.R. (1997). Increased plant growth in the northern high latitudes from 1981 to 1991. Nature, 386, 698–702. DOI: 10.1038/386698a0
- Oldroyd, P.B., & Nanork, P. (2009). Conservation of Asian honey-bees- Apidologie Bee Conservation, 40, 296–312.
- Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234–281.
- Saaty, T.L. (1980). The Analytical Hierarchy Process. New York: Wiley.
- Saaty, T.L. (1994). Fundamentals of Decision Making and Priority Theory With The Analytical Hierarchy Process, RWS Publ. Pittsburg, 69–84.
- Saaty, T.L. (2001). Decision Making with Dependence and Feedback: The Analytic Network Process, 2nd edition, PRWS Publications, Pittsburgh PA.
- Saaty, T.L., & Vargas, L.G. (1991). Prediction, Projection and Forecasting. Kluwer Academic Publishers, Dordrecht, 25.
- Schmidt, M., Udelhoven, T., Gill, T., & Roder, A. (2012). Long term data fusion for a dense time series analysis with MODIS and Landsat imagery in an Australian savanna. Journal of Applied Remote Sensing, 6, 1–18. http://dx.doi.org/10.1117/1.jrs.6.063512
- Zhou, L., Tucker, C.J., Kaufmann, R.K., Slayback, D., Shabanov, N.V., Myneni, R.B. (2001). Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. The Journal of Geophysical Research, 106, 20069–20083. DOI: 10.1029/2000JD000115
- Zoccali P., Malacrinò A., Campolo O., Laudani F., Algeri G.M., Giunti G., Palmeri V. (2017). A novel GIS-based approach to assess beekeeping suitability of Mediterranean lands. Saudi Journal of Biological Science, 24(5), 1045–1050. DOI: 10.1016/j.sjbs.2017.01.062