References
- Abdikan S, Sanli FB, Ustuner M, Calò F. 2016. Land cover mapping using sentinel-1 SAR data. Int Arch Photogram Remote Sens Spatial Inf Sci. 41:757–761. http://doi.org/10.5194/isprsarchives-XLI-B7-757-2016
- Adamo M, Matta E, Bresciani M, Carolis G De, Vaiciute D, Giardino C, Pasquariello G. 2013. On the synergistic use of SAR and optical imagery to monitor cyanobacteria blooms: the Curonian Lagoon case study. Eur J Remote Sensing. 46(1):789–805. http://doi.org/10.5721/EuJRS20134647
- Adelabu S, Mutanga O, Adam E. 2015. Testing the reliability and stability of the internal accuracy assessment of random forest for classifying tree defoliation levels using different validation methods. Geocarto Int. 30(7):810–821. http://doi.org/10.1080/10106049.2014.997303
- Adjorlolo C, Mutanga O, Cho MA, Africa S, Ismail R. 2012. Challenges and opportunities in the use of remote sensing for C 3 and C 4 grass species discrimination and mapping. African J Range Forage Sci. 29(2):47–61.
- Aizen MA, Feinsinger P. 2015. Habitat fragmentation, native insect pollinators, and feral honey bees in Argentine Chaco Serrano. Ecol Soc Am. 4(2), 378–392.
- Amarsaikhan D, Ganzorig M, Ache P, Blotevogel H. 2007. The integrated use of optical and InSAR data for urban land-cover mapping. Int J Remote Sens. 28(6):1161–1171. http://doi.org/10.1080/01431160600784267
- Balzter H, Cole B, Thiel C, Schmullius C. 2015. Mapping CORINE land cover from Sentinel-1A SAR and SRTM digital elevation model data using random forests. Remote Sensing. 7(11):14876–14898. http://doi.org/10.3390/rs71114876
- Belgiu M, Drăguţ L. 2016. Random forest in remote sensing : a review of applications and future directions gut. ISRS J Photogram Remote Sensing. 114:24–31. http://doi.org/10.1016/j.isprsjprs.2016.01.011
- Brahmbhatt KN, Makwanna RM. 2013. Comparative study on image fusion methods in spatial domain. Int J Adv Res Eng Technol. 4(2):161–166.
- Braun A, Hoschild V. 2017. A SAR-Based Index for Landscape Changes in African Savannas. http://doi.org/10.3390/rs9040359
- Breiman L. 2001. Random forests. Machine Learning. 45(1):5–32. http://doi.org/10.1023/A:1010933404324
- Brosi BJ, Daily GC, Shih TM, Oviedo F, Durán G. 2007. The effects of forest fragmentation on bee communities in tropical countryside. J Appl Ecol. 45(3):773–783. http://doi.org/10.1111/j.1365-2664.2007.01412.x
- Cane JH, Tepedino VJ. 2001. Causes and extent of declines among native North American invertebrate pollinators detection, evidence, and consequences. Conserv Ecol. 5(1): 1.
- Chatziantoniou A, Petropoulos GP, Psomiadis E. 2017. Co-Orbital Sentinel 1 and 2 for LULC mapping with emphasis on wetlands in a Mediterranean setting based on machine learning. Remote Sensing. 9(12)1259. http://doi.org/10.3390/rs9121259
- Clerici N, Valbuena Calderón CA, Posada JM. 2017. Fusion of sentinel-1a and sentinel-2A data for land cover mapping: a case study in the lower Magdalena region, Colombia. J Maps. 13(2):718–726. http://doi.org/10.1080/17445647.2017.1372316
- Corbet SA. 1991. Forage for bumble bees and honey bees in farmland: a case study AU – Fussell, M. J Apicult Res. 30(2):87–97. http://doi.org/10.1080/00218839.1991.11101239
- de Leeuw J, Jia H, Yang L, Liu X, Schmidt K, Skidmore AK. 2006. Comparing accuracy assessments to infer superiority of image classification methods. Int J Remote Sensing. 27(1):223–232. http://doi.org/10.1080/01431160500275762
- European Space Association (ESA). (2017). Open access hub. Retrieved November 7, 2018, from https://scihub.copernicus.eu/
- Foody GM. 2004. Thematic map comparison. Photogramm Eng Remote Sensing. 70(5):627–633. http://doi.org/10.14358/PERS.70.5.627
- Foody GM, Dash J. 2007. Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA. Ecol Inform. 2(2):89–93. http://doi.org/10.1016/J.ECOINF.2007.03.009
- Galbraith SM, Vierling LA, Bosque-Pérez NA. 2015. Remote sensing and ecosystem services: Current status and future opportunities for the study of bees and pollination-related services. Curr Forestry Rep. 1(4):261–274. http://doi.org/10.1007/s40725-015-0024-6
- Ghimire B, Rogan J, Miller J. 2010. Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic. Remote Sensing Lett. 1(1):45–54. http://doi.org/10.1080/01431160903252327
- Goulson D, Lye GC, Darvill B. 2008. The decline and conservation of bumblebees. Annu Rev Entomol. 53(1):191–208. Retrieved from https://doi.org/10.1146/annurev.ento.53.103106.093454
- Hannon LE, Sisk TD. 2009. Hedgerows in an agri-natural landscape: potential habitat value for native bees. Biol Conserv. 142(10):2140–2154. http://doi.org/10.1016/j.biocon.2009.04.014
- Hansen MC, Loveland TR. 2012. A review of large area monitoring of land cover change using Landsat data. Remote Sensing Environ. 122:66–74. http://doi.org/10.1016/J.RSE.2011.08.024
- Hepburn H, Radloff RES. 1998. Honeybees of Africa. Berlin: Springer Inc.
- Hooke RL, Martín-Duque JF. 2012. High cycle versus low cycle fatigue. Geol Soc Am. 22(12), 4–10. http://doi.org/10.1130/GSAT151A.1.Figure
- Horning N. 2010. Random forests: an algorithm for image classification and generation of continuous fields data sets. International Conference on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences 2010; p. 1–6. http://doi.org/10.5244/C.22.54
- Hütt C, Koppe W, Miao Y, Bareth G. 2016. Best accuracy land use/land cover (LULC) classification to derive crop types using multitemporal, multisensor, and multi-polarization SAR satellite images. Remote Sensing. 8(8):684. http://doi.org/10.3390/rs8080684
- Jaeger JAG. 2000. Jaeger_ 2000, 115–130.
- Jarvis A, Reuter HI, Nelson A, E G. 2008. Hole-filled SRTM for the globe Version 4. In: CGIAR Consortium for Spatial Information (CGIAR-CSI).
- Jones Ritten C, Bastian C, Shogren J, Panchalingam T, Ehmke M, Parkhurst G. 2017. Understanding pollinator habitat conservation under current policy using economic experiments. Land. 6(3):57. http://doi.org/10.3390/land6030057
- Jung M. 2015. Landscape ecology analysis with QGIS; p. 1–36.
- Kerr JT, Ostrovsky M. 2003. From space to species: Ecological applications for remote sensing. Trends Ecol Evol. 18(6):299–305. http://doi.org/10.1016/S0169-5347(03)00071-5
- Koh I, Lonsdorf EV, Williams NM, Brittain C, Isaacs R, Gibbs J, Ricketts TH. 2016. Modeling the status, trends, and impacts of wild bee abundance in the United States. Proc Natl Acad Sci USA. 113(1):140–145. http://doi.org/10.1073/pnas.1517685113
- Kremen C, Williams NM, Aizen MA, Gemmill-Herren B, LeBuhn G, Minckley R, Packer L, Potts SG, Roulston T, Steffan-Dewenter I, et al. 2007. Pollination and other ecosystem services produced by mobile organisms: a conceptual framework for the effects of land-use change. Ecol Lett. 10(4):299–314. http://doi.org/10.1111/j.1461-0248.2007.01018.x
- Krewenka KM, Holzschuh A, Tscharntke T, Dormann CF. 2011. Landscape elements as potential barriers and corridors for bees, wasps and parasitoids. Biol Conserv. 144(6):1816–1825. http://doi.org/10.1016/j.biocon.2011.03.014
- Kuchma T. 2016. Combined use of SAR and optical satellite images for landscape diversity assessment. European Space Agency, (Special Publication) ESA SP, SP-740(May), 12–14.
- Kupfer JA. 2012. Landscape ecology and biogeography: rethinking landscape metrics in a post-FRAGSTATS landscape. Prog Phys Geogr. 36(3):400–420. http://doi.org/10.1177/0309133312439594
- Laurin GV, Liesenberg V, Chen Q, Guerriero L, Del Frate F, Bartolini A, Valentini R. 2012. Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa. Int J Appl Earth Observ Geoinform. 21(1):7–16. http://doi.org/10.1016/j.jag.2012.08.002
- Lehmann EA, Caccetta PA, Zhou ZS, McNeill SJ, Wu X, Mitchell AL. 2012. Joint processing of landsat and ALOS-PALSAR data for forest mapping and monitoring. IEEE Trans Geosci Remote Sensing. 50(1):55–67. http://doi.org/10.1109/TGRS.2011.2171495
- Li X, Chen G, Liu J, Chen W, Cheng X, Liao Y. 2017. Effects of RapidEye imagery’s red-edge band and vegetation indices on land cover classification in an arid region. Chin Geogr Sci. 27(5):827–835. http://doi.org/10.1007/s11769-017-0894-6
- Malenovský Z, Rott H, Cihlar J, Schaepman ME, García-Santos G, Fernandes R, Berger M. 2012. Sentinels for science: potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land. Remote Sensing Environ. 120:91–101. http://doi.org/10.1016/j.rse.2011.09.026
- Mcgarigal K. (2014). Documentation for FRAGSTATS. umass.edu
- Mcgarigal K. 2014. Table_of_Contents. Toxicol Sci. 137(2). http://doi.org/10.1093/toxsci/kft290
- Naug D. 2009. Nutritional stress due to habitat loss may explain recent honeybee colony collapses. Biol Conserv. 142(10):2369–2372. http://doi.org/10.1016/j.biocon.2009.04.007
- Ngugi R. 1999. Use of Indigenous and Contemporary Knowledge on Climate and Drought Forecasting Information in Mwingi District, Kenya.
- Olsson O, Bolin A, Smith HG, Lonsdorf EV. 2015. Modeling pollinating bee visitation rates in heterogeneous landscapes from foraging theory. Ecol Model. 316:133–143. http://doi.org/10.1016/j.ecolmodel.2015.08.009
- Otto CRV, Roth CL, Carlson BL, Smart MD. 2016. Land-use change reduces habitat suitability for supporting managed honey bee colonies in the Northern Great Plains. Proc Natl Acad Sci USA. 113(37):10430–10435. http://doi.org/10.1073/pnas.1603481113
- Pohl C, Van Genderen JL. 1998. Review article multisensor image fusion in remote sensing: concepts, methods and applications. Int J Remote Sensing. 19(5):823–854.
- Potts SG, Imperatriz-Fonseca V, Ngo HT, Aizen MA, Biesmeijer JC, Breeze TD, Dicks LV, Garibaldi LA, Hill R, Settele J, Vanbergen AJ. 2016. Safeguarding pollinators and their values to human well-being. Nature. 540(7632):220–229. http://doi.org/10.1038/nature20588
- Rands SA. 2014. Landscape fragmentation and pollinator movement within agricultural environments: a modelling framework for exploring foraging and movement ecology. PeerJ. 2:e269. http://doi.org/10.7717/peerj.269
- Rathcke BJ, Jules ES, Rathcke BJ, Jules ES. 2018. Habitat fragmentation and plant-pollinator. Curr Sci. 65(3), 273–277.
- Roubik D. 1989. Ecology and natural history of tropical bees. Cambridge: Cambridge University Press.
- Rutledge D. 2003. Landscape indices as measures of the effects of fragmentation : can pattern reflect process ? Doc Sci Internal Series. 98:27. http://doi.org/10.1007/s10980-011-9650-y
- Sandberg M. 2016. Land cover mapping with multi-temporal SAR and optical satellite data, (February).
- Sande S, Crewe RM, Sande SO, Crewe RM, Raina SK, Nicolson SW, Gordon I. 2009. Proximity to a forest leads to higher honey yield : another reason to conserve Proximity to a forest leads to higher honey yield : another reason to conserve. Biol Conserv. 142(11):2703–2709. http://doi.org/10.1016/j.biocon.2009.06.023
- Schumacher P, Mislimshoeva B, Brenning A, Zandler H, Brandt M, Samimi C, Koellner T. 2016. Do red edge and texture attributes from high-resolution satellite data improve wood volume estimation in a semi-arid mountainous region? Remote Sensing. 8(7):1–19. http://doi.org/10.3390/rs8070540
- Schuster C, Förster M, Kleinschmit B. 2012. Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data. Int J Remote Sens. 33(17):5583–5599. http://doi.org/10.1080/01431161.2012.666812
- Simone G, Farina A, Morabito FC, Serpico SB, Bruzzone L. 2002. Image fusion techniques for remote sensing applications. Inform Fus. 3(1):3–15.
- Steffan-Dewenter I, Kuhn A. 2003. Honeybee foraging in differentially structured landscapes. Proc Roy Soc B Biol Sci. 270(1515):569–575. http://doi.org/10.1098/rspb.2002.2292
- Stratoulias D, Balzter H, Sykioti O, Zlinszky A, Tóth VR. 2015. Evaluating sentinel-2 for lakeshore habitat mapping based on airborne hyperspectral data. Sensors (Switzerland). 15(9):22956–22969. http://doi.org/10.3390/s150922956
- Torbick N, Chowdhury D, Salas W, Qi J. 2017. Monitoring rice agriculture across Myanmar using time series Sentinel-1 assisted by Landsat-8 and PALSAR-2. Remote Sensing. 9(2)119. http://doi.org/10.3390/rs90201019
- Torres, R, Snoeij, P, Geudtner, D, Bibby, D, Davidson, M, Attema, E, Potin, P, Rommen, B, Floury, N, Brown, M, et al. 2012. GMES Sentinel-1 mission. Remote Sensing of Environment. 120:9–24. doi:10.1016/j.rse.2011.05.028.
- Vaudo AD, Ellis JD, Cambray GA, Hill M. 2012. The effects of land use on honey bee (Apis mellifera) population density and colony strength parameters in the Eastern Cape, South Africa. J Insect Conserv. 16(4):601–611. http://doi.org/10.1007/s10841-011-9445-0
- Viana BF, Boscolo D, Neto EM, Lopes LE, Lopes AV, Ferreira PA, Primo LM. 2012. How well do we understand landscape effects on pollinators and pollination services? J Pollinat Ecol. 7(5):31–41. http://doi.org/10.1098/rspb.2006.3721