Research Article
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Year 2019, Volume: 6 Issue: 3, 277 - 287, 08.12.2019
https://doi.org/10.30897/ijegeo.546032

Abstract

References

  • 1. Allen, R. G., Tasumi, M., Morse, A., Trezza, R., Kramber, W., and Lorite, I. (2007). Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) – Applications, Journal of Irrigation and Drainage Engineering, 133, 395–406.
  • 2. Alnefaie, K.A., and Abu–Hamdeh, N.H. (2013). Specific heat and volumetric heat capacity of some Saudian soils as affected by moisture and density, Proceedings of the international conference on mechanics, fluids, heat, elasticity and electromagnetic fields, 139–143, Venice, Italy.
  • 3. Bailey, W.G., Oke, T.R., and Rouse, W.R. (1997). The surface climates of Canada, McGill–Queen’s University Press, Montreal & Kingston, London.
  • 4. Bastiaanssen, W.G.M., Massimo, M., Reinder, F., Bert, H. (1998). A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, Journal of Hydrology, 212. 198–212.
  • 5. Brammer, H. (2002). Land Use and Land Use Planning in Bangladesh, the University Press Limited, Dhaka.
  • 6. Bright, R. M., Zhao, K., Jackson, R.B., and Cherubini, F. (2015). Quantifying surface albedo and other direct biogeophysical climate forcings of forestry activities, Global Change Biology, 21, 3246–3266.
  • 7. Cierniewski, J., and Courault, D. (1993). Bidirectional reflectance of bare soil surfaces in the visible and near-infrared range, Remote sensing reviews, 7(3–4), 321–339.
  • 8. Claussen, M., Brovkin, V., and Ganopolski, A. (2011). Biogeophysical versus biogeochemical feedbacks of large–scale land cover change, geophysical research letters, 28(6), 1011–1014.
  • 9. Coakley, J.A. (2003). Surface reflectance and albedo, Encyclopedia of Atmospheric Sciences, Academic Press, Oxford.
  • 10. Eltahir, E.A.B. (1998). A soil moisture-rainfall feedback mechanism 1. Theory and observation, Water resources research, 34(4), 765–776.
  • 11. Faisal, B.M.R., Rahman, H., Dutta, S., Sultana, N., and Tazneen, F. (2017). Analysis of land surface temperature and NDVI with Remote Sensing: Application to Landsat 5 in the South–Western part of Bangladesh, The Atmosphere, 7, 1, 69–74.
  • 12. Feddema, J.J., Oleson, K.W., Bonan, G.B., Mearns, L.O., Buja, L.E., Meehl, J. A., Washington, W.M. (2005). The Importance of Land–Cover Change in Simulating Future Climates, Science, 310, 1674–1678.
  • 13. Foley, J.A., Costa, M.H., Delire, C., Ramankutty, N., and Snyder, P. (2003). Green surprise? How terrestrial ecosystems could affect earth’s climate, Frontiers in Ecology and the Environment, 1(1), 38–44.
  • 14. Gao, J., and Wu, S. (2014). Simulated Effects of Land Cover Conversion on the Surface Energy Budget in the Southwest of China, Energies, 7, 1251–1264.
  • 15. Hasan, M. Z., Hossain, M. S., Bari, A. M., and Islam, M. R. (2013). Agricultural Land Availability in Bangladesh, Soil Resource Development Institute, Dhaka.
  • 16. Hong, S., Lakshmi, V., and Small, E. E. (2007). Relationship between vegetation biophysical properties and surface temperature using multisensor satellite data, Journal of Climate, 20, 5593–5606.
  • 17. Islam, M.R. (2006). Managing diverse land use in coastal Bangladesh: institutional approaches, IWMI Books, Reports H039119, International Water Management Institute, Handle: RePEc:iwt bosers:h039119.
  • 18. Kluitenberg, G. J. (2002). Methods of soil analysis: part 4 physical methods, 5.2, Soil science society of America, Madison, Wisconsis.
  • 19. Li, Y., Noblet–Ducoudré, N.D., Davin, E.D., Motesharrei, S., Zeng, N., Li, S., and Kalnay, K. (2016). The role of spatial scale and background climate in the latitudinal temperature response to deforestation, Earth Syst. Dynam., 7, 167–181.
  • 20. Ma, Z., Xie, Y., Jiao, J., Li, L., and Wang, X. (2011). The construction and application of an Surface albedo–NDVI based desertification monitoring model, 3rd international conference on environmental science and information application technology, Procedia Environmental Sciences, 10, 2029 – 2035.
  • 21. Milton, E.J, and Webb, J.P. (1987). Ground radiometry and airborne multispectral survey of bare soils, International journal of remote sensing, 8(1), 3–14.
  • 22. Rahman, S., Rahman, H., and Keramat, M. (2007). Study on the seasonal changes of land cover and their impact on surface albedo in the northwestern part of Bangladesh using remote sensing, International journal of remoter sensing, 28(5), 1001–1022.
  • 23. Rahman, S. (2010). “Six decades of agricultural land use change in Bangladesh: effects on crop diversity, productivity, food availability and the environment, 1948–2006”, Singapore Journal of Tropical Geography, 31, 245–269.
  • 24. Rechid, D., Jacob, D., Hagemann, S., and Raddatz, T. J. (2005). Vegetation effect on land surface albedo: method to separate vegetation albedo from the underlying surface using satellite data, Geophysical Research Abstracts, 7, 07153.
  • 25. Streck, C., O’Sullivan, R., Janson–Smith, T. and Tarasofsky, R. (2009). Climate Change and Forests: Emerging Policy and Market Opportunities, Brookings Institution Press, Washington, D.C.
  • 26. Tian, L., Zhang, Y., and Zhu, J. (2014). Decreased surface albedo driven by denser vegetation on the Tibetan Plateau, Environmental Research Letters, 9.
  • 27. Wang, X., Guo, W., Qiu, B., Liu, Y., Sun, J., and Ding, A. (2016). Quantifying the contribution of land use change to surface temperature in the lower reaches of Yangtze River, Atmos. Chem. Phys., 17, 4989–4996.
  • 28. Zhai, J., Liu, R., Liu, J., Huang, L., and Qin, Y. (2015). Human–Induced Landcover Changes Drive a Diminution of Land Surface albedo in the Loess Plateau (China), Remote Sens., 7, 2926–2941.

Study on the Effects of Landcover Changes on Surface Albedo and Surface Temperature in Bangladesh Using Remote Sensing and GIS

Year 2019, Volume: 6 Issue: 3, 277 - 287, 08.12.2019
https://doi.org/10.30897/ijegeo.546032

Abstract

Dynamic changes in Earth’s land cover characteristics and associated temporally evolving biophysical surface properties, as well as their ultimate impacts on surface radiative (surface albedo) and climatic properties (land surface temperature), have been studied. The study area includes a part of southwestern Bangladesh covering a period of about twenty years from 1988 – 2011. The widely used Surface Energy Balance Algorithm for Land (SEBAL) has been applied in conjunction with satellite-derived radiative measurements. Relatively important land use types such as water, soil, sand, settlement, shrimp farm, forest and agricultural crop have been considered. Feature type conversion of parameters i.e Normalized Difference of Vegetation Index (NDVI), surface albedo and land surface temperature have been noticed over the area under the present study. The highest surface albedo as well as surface temperature value has been noticed over the sandy area. Analysis revealed increases of surface temperature by about 1 °C and 3 °C for land cover conversion from (i) crop to settlement and (ii) water to soil, respectively. All other categories of landcover conversion generally experience decreases in surface temperature. Spatial vegetation coverage and amount of soil moisture play a dominant role in the radiative as well as climatic properties.

References

  • 1. Allen, R. G., Tasumi, M., Morse, A., Trezza, R., Kramber, W., and Lorite, I. (2007). Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) – Applications, Journal of Irrigation and Drainage Engineering, 133, 395–406.
  • 2. Alnefaie, K.A., and Abu–Hamdeh, N.H. (2013). Specific heat and volumetric heat capacity of some Saudian soils as affected by moisture and density, Proceedings of the international conference on mechanics, fluids, heat, elasticity and electromagnetic fields, 139–143, Venice, Italy.
  • 3. Bailey, W.G., Oke, T.R., and Rouse, W.R. (1997). The surface climates of Canada, McGill–Queen’s University Press, Montreal & Kingston, London.
  • 4. Bastiaanssen, W.G.M., Massimo, M., Reinder, F., Bert, H. (1998). A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation, Journal of Hydrology, 212. 198–212.
  • 5. Brammer, H. (2002). Land Use and Land Use Planning in Bangladesh, the University Press Limited, Dhaka.
  • 6. Bright, R. M., Zhao, K., Jackson, R.B., and Cherubini, F. (2015). Quantifying surface albedo and other direct biogeophysical climate forcings of forestry activities, Global Change Biology, 21, 3246–3266.
  • 7. Cierniewski, J., and Courault, D. (1993). Bidirectional reflectance of bare soil surfaces in the visible and near-infrared range, Remote sensing reviews, 7(3–4), 321–339.
  • 8. Claussen, M., Brovkin, V., and Ganopolski, A. (2011). Biogeophysical versus biogeochemical feedbacks of large–scale land cover change, geophysical research letters, 28(6), 1011–1014.
  • 9. Coakley, J.A. (2003). Surface reflectance and albedo, Encyclopedia of Atmospheric Sciences, Academic Press, Oxford.
  • 10. Eltahir, E.A.B. (1998). A soil moisture-rainfall feedback mechanism 1. Theory and observation, Water resources research, 34(4), 765–776.
  • 11. Faisal, B.M.R., Rahman, H., Dutta, S., Sultana, N., and Tazneen, F. (2017). Analysis of land surface temperature and NDVI with Remote Sensing: Application to Landsat 5 in the South–Western part of Bangladesh, The Atmosphere, 7, 1, 69–74.
  • 12. Feddema, J.J., Oleson, K.W., Bonan, G.B., Mearns, L.O., Buja, L.E., Meehl, J. A., Washington, W.M. (2005). The Importance of Land–Cover Change in Simulating Future Climates, Science, 310, 1674–1678.
  • 13. Foley, J.A., Costa, M.H., Delire, C., Ramankutty, N., and Snyder, P. (2003). Green surprise? How terrestrial ecosystems could affect earth’s climate, Frontiers in Ecology and the Environment, 1(1), 38–44.
  • 14. Gao, J., and Wu, S. (2014). Simulated Effects of Land Cover Conversion on the Surface Energy Budget in the Southwest of China, Energies, 7, 1251–1264.
  • 15. Hasan, M. Z., Hossain, M. S., Bari, A. M., and Islam, M. R. (2013). Agricultural Land Availability in Bangladesh, Soil Resource Development Institute, Dhaka.
  • 16. Hong, S., Lakshmi, V., and Small, E. E. (2007). Relationship between vegetation biophysical properties and surface temperature using multisensor satellite data, Journal of Climate, 20, 5593–5606.
  • 17. Islam, M.R. (2006). Managing diverse land use in coastal Bangladesh: institutional approaches, IWMI Books, Reports H039119, International Water Management Institute, Handle: RePEc:iwt bosers:h039119.
  • 18. Kluitenberg, G. J. (2002). Methods of soil analysis: part 4 physical methods, 5.2, Soil science society of America, Madison, Wisconsis.
  • 19. Li, Y., Noblet–Ducoudré, N.D., Davin, E.D., Motesharrei, S., Zeng, N., Li, S., and Kalnay, K. (2016). The role of spatial scale and background climate in the latitudinal temperature response to deforestation, Earth Syst. Dynam., 7, 167–181.
  • 20. Ma, Z., Xie, Y., Jiao, J., Li, L., and Wang, X. (2011). The construction and application of an Surface albedo–NDVI based desertification monitoring model, 3rd international conference on environmental science and information application technology, Procedia Environmental Sciences, 10, 2029 – 2035.
  • 21. Milton, E.J, and Webb, J.P. (1987). Ground radiometry and airborne multispectral survey of bare soils, International journal of remote sensing, 8(1), 3–14.
  • 22. Rahman, S., Rahman, H., and Keramat, M. (2007). Study on the seasonal changes of land cover and their impact on surface albedo in the northwestern part of Bangladesh using remote sensing, International journal of remoter sensing, 28(5), 1001–1022.
  • 23. Rahman, S. (2010). “Six decades of agricultural land use change in Bangladesh: effects on crop diversity, productivity, food availability and the environment, 1948–2006”, Singapore Journal of Tropical Geography, 31, 245–269.
  • 24. Rechid, D., Jacob, D., Hagemann, S., and Raddatz, T. J. (2005). Vegetation effect on land surface albedo: method to separate vegetation albedo from the underlying surface using satellite data, Geophysical Research Abstracts, 7, 07153.
  • 25. Streck, C., O’Sullivan, R., Janson–Smith, T. and Tarasofsky, R. (2009). Climate Change and Forests: Emerging Policy and Market Opportunities, Brookings Institution Press, Washington, D.C.
  • 26. Tian, L., Zhang, Y., and Zhu, J. (2014). Decreased surface albedo driven by denser vegetation on the Tibetan Plateau, Environmental Research Letters, 9.
  • 27. Wang, X., Guo, W., Qiu, B., Liu, Y., Sun, J., and Ding, A. (2016). Quantifying the contribution of land use change to surface temperature in the lower reaches of Yangtze River, Atmos. Chem. Phys., 17, 4989–4996.
  • 28. Zhai, J., Liu, R., Liu, J., Huang, L., and Qin, Y. (2015). Human–Induced Landcover Changes Drive a Diminution of Land Surface albedo in the Loess Plateau (China), Remote Sens., 7, 2926–2941.
There are 28 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Nasrin Sultana 0000-0003-4649-8281

Hafizur Rahman This is me 0000-0003-3366-4076

Mohammed Nur Hossain Sharifee This is me 0000-0001-5410-0451

B.m. Refat Faisal This is me 0000-0003-4325-2163

Md. Tofayel Ahmed This is me 0000-0003-3597-3673

Publication Date December 8, 2019
Published in Issue Year 2019 Volume: 6 Issue: 3

Cite

APA Sultana, N., Rahman, H., Sharifee, M. N. H., Faisal, B. R., et al. (2019). Study on the Effects of Landcover Changes on Surface Albedo and Surface Temperature in Bangladesh Using Remote Sensing and GIS. International Journal of Environment and Geoinformatics, 6(3), 277-287. https://doi.org/10.30897/ijegeo.546032