Application of Earth Observation Data for Estimation of Changes in Land Trajectories in Varanasi District, India

Alrababah, M. A., & Alhamad, M. N. (2006). Land use/cover classification of arid and semi-arid Mediterranean landscapes using Landsat ETM. International Journal of Remote Sensing, 27, 2703.10.1080/01431160500522700Search in Google Scholar

Asrar, G., M. Fuchs, E. T. Kanemasu, and J. H. Hatfield (1984), Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat, Agron J., 76, 300 – 306.Search in Google Scholar

Campbell, J. B. (1987). Introduction to Remote Sensing. The Guilford Press, New York, USA, 551 pp.10.1080/10106048709354126Search in Google Scholar

Chavula, G., Brezonik, P. & Bauer, M. (2011). “Land Use and Land Cover Change (LULC) in the Lake Malawi Drainage Basin, 1982-2005”, International Journal of Geosciences, vol. 2, no. 2, pp. 172-178.Search in Google Scholar

Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B. & Lambin, E. (2004). Review article digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing 25:1565–1596.Search in Google Scholar

Fan, F., Weng, Q. and Wang, Y., (2007). Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery, Sensors,7, 1323-1342.10.3390/s7071323Search in Google Scholar

Fluor C.P., (2014). Absorptivity Module & NDVI Measurement Instruction Manual, product PSI, spol. s r. o., Drásov 470, 664 24 Drásov, Czech RepublicSearch in Google Scholar

Im, J. & Jensen, J.R., (2005). A change detection model based on neighborhood correlation image analysis and decision tree classification. Remote Sensing of Environment 99: 326–340.Search in Google Scholar

Huete, A. R., (1988), A soil-adjusted vegetation index (SAVI), Remote Sens. Environ. 25:295-309.Search in Google Scholar

Jovanović, D., Govedarica, M., Pržulj, Đ. (2007). The tracking use change area of Vojvodine Using shooting by passing LANDSAT ETM + and TM satellite images Vodoprivreda 0350-0519, 39, 229-230, 337-343.Search in Google Scholar

Jovanović, D., Govedarica, M., Badnjarević, M., (2011). Presenting And Comparing the Object Based Image Analysis and Standard Image Analysis For Change Detection of Forest Areas, Using Low-Resolution Satellite Imagery. SGEM, 2, 11, 329-336.10.5593/sgem2011/s08.103Search in Google Scholar

Lillesand, T.M., Kiefer, R.W. and Chipman, J.W. (2008). Remote Sensing and Image Interpretation. 6th Edition, John Wiley & Sons, Hoboken.Search in Google Scholar

Lunetta R., (2004). Land-cover change detection using multi-temporal modis NDVI data, Remote Sensing of Environment, 105, 2006, 142–154.10.1016/j.rse.2006.06.018Search in Google Scholar

Liu J.G. & Mason, P.J, (2009). Essential Image Processing and GIS for Remote Sensing. John Wiley & Sons, Inc.Search in Google Scholar

Junfeng, L., Zhibao, D., Guangyin, H., Changzhen, Y., Zhenhai, W., Xiang, S., (2011). Land use and land cover change and its driving forces in the source region of the Yangtze River during 1990–2005, International Symposium on Water Resource and Environmental Protection, IEEE, Xi’an, ChinaSearch in Google Scholar

Manandhar, R., Odeh, I. O. A., Ancev, T., (2009). Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data using Post-classification Enhancement. Remote Sensing 1, 3, 330-344.10.3390/rs1030330Search in Google Scholar

Matinfar H.R., Sarmadian F., Alavi Panah S.K., and Heck R.J., (2007). Comparisons of Object-Oriented and Pixel-Based Classification of Land Use/Land Cover Types Based on Lansadsat7, Etm+ Spectral Bands (Case Study: Arid Region of Iran)”, American-Eurasian J. Agric. & Environ. Sci., vol 2 (4), p.p. 448-456, 2007. ISSN 1818-6769, 2007Search in Google Scholar

Mishra, V.N., Rai, P.K., Mohan, K. (2014). Prediction of land use changes based on land change modeler (LCM) using remote sensing: a case study of Muzaffarpur (Bihar), India. Journal of the Geographical Institute Jovan Cvijic SASA, 64: 111–127.Search in Google Scholar

Mishra, V.N., and Rai, P.K. (2016). A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar), India. Arabian Journal of Geosciences, 9 (4):1-18. Doi: 10.1007/s12517-015-2138-3.10.1007/s12517-015-2138-3Open DOISearch in Google Scholar

Mishra, V.N., Rai, P.K., Kumar, P. and Prashad, R., (2016). Evaluation of Land Use/Land Covers Classification Accuracy Using Multi-Temporal Remote Sensing Images, Forum Geographic (Romania), 15 (1), 45-53.10.5775/fg.2016.137.iSearch in Google Scholar

Macleod, R.D., & Congalon, R.G., (1998). A quantitative comparison of change detection algorithms for monitoring eelgrass from remotely sensed data. Photogrammetric Engineering & Remote Sensing 64:207–216.Search in Google Scholar

McNairn, H., Protz, R., (1993). Mapping corn residue cover on agricultural fields in Oxford County, Ontario, using Thematic Mapper. Canadian Journal of Remote Sensing 19, 2, 152-159.10.1080/07038992.1993.10874543Search in Google Scholar

Pielke Sr., R. A., Marland, G., Betts, R. A., Chase, T. N., Eastman, J. L., Niles, J. O., Niyogi, Devdutta S., and Running, S. W., (2002). “The influence of land-use change and landscape dynamics on the climate system: relevance to climatechange policy beyond the radiative effect of greenhouse gases.” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 360 (1797):1705–1719. doi:10.1098/rsta.2002.1027.10.1098/rsta.2002.102712460493Open DOISearch in Google Scholar

Prajapati, A., (2016). Land and Forest Management by Land Use/Land Cover Analysis & Change Detection Technique Using Remote Sensing & GIS, Journal of Landscape Ecology, Vol. 9 (3), 63-77. DOI: https://doi.org/10.1515/jlecol-2016-0005.10.1515/jlecol-2016-0005Open DOISearch in Google Scholar

Qi, J., Moran, M. S., Huete, A. R., Jackson, R. D., Chehbouni, A., (1991). View atmosphere soil effect on vegetation indices derived from SPOT images. Proceedings of the 5th International Symposium Physical Measurements and Signatures in Remote Sensing, Courchevel, France 2, 785-790.Search in Google Scholar

Rai, P.K., Sweta and Mishra, A. Onagh, M., (2011). Multi Seasonal IRS-IC LISS III data for Change Detection Analysis and Accuracy Assessment: A Case Study, Journal of GIS Trend, 2(2):13-19.Search in Google Scholar

Rai, P.K., Singh, S. and Mohan, K., (2015). Land Use Change Detection Using Multi-Temporal Satellite Data: A Case Study of Haridwar District, Uttrakhand, Journal of Scientific Research, (Banaras Hindu University), 59 (1 & 2), 1-16.Search in Google Scholar

Rozenstein, O. and Karnieli, A., (2011). Comparison of methods for land-use classification incorporating remote sensing and GIS inputs, Applied Geography, 31, pp. 533–544.Search in Google Scholar

Singh, A., (1989). Digital Change Detection Techniques Using Remotely Sensed Data, International Journal of Remote Sensing 10, 6, 989-1003.10.1080/01431168908903939Search in Google Scholar

Van Lynden, G. W. J., and Mantel, S., (2001). “The role of GIS and remote sensing in land degradation assessment and conservation mapping: some user experiences and expectations.” International Journal of Applied Earth Observation and Geoinformation, 3 (1):61–68. doi:10.1016/S0303-2434(01)85022-4.10.1016/S0303-2434(01)85022-4Open DOISearch in Google Scholar

Vishwakarma, C.S., Thakur, S., Rai, P.K., Kamal, V. and Mukharjee, S., (2016). Changing Land Trajectories: A Case Study from India Using Remote Sensing, European Journal of Geography. Vol. 7 (2), 63-73.Search in Google Scholar

Williams, D. L., Goward, S., & Arvidson, T., (2006). Landsat: yesterday, today, and tomorrow. Photogrammetric Engineering & Remote Sensing, 72(10), 1171–1178.10.14358/PERS.72.10.1171Search in Google Scholar

Zaki R., Zaki A. and Ahmed S., (2011). “Land Use and Land Cover Changes in Arid Region: The Case New Urbanized Zone, Northeast Cairo, Egypt,” Journal of Geographic Information System, Vol. 3 No. 3, pp. 173-194. doi: 10.4236/jgis.2011.33015.10.4236/jgis.2011.33015Open DOISearch in Google Scholar