A Novel Remote Sensing Technology on Land Analysis Use Change Detection


  • J. Suresh Babu Research Scholar, Department of Computer Science, Vikrama Simhapuri University, Nellore, Andhra Pradesh, India
  • T. Sudha Professor, Department of Computer Science, Sri Padmavati Mahila Visva Vidyalayam, Tirupati, Andhra Pradesh, India


Land Use Change, Remote Sensing, Upper Rib Watershed, ERDAS Imagine, Change Detection, Supervised Classification


Change location is helpful in numerous applications identified with land use and land cover changes, for example,
moving development and scene changes, arrive corruption and desertification. Remotes sensing technology has been utilized for the location of the adjustment in land use arrive cover in upper Rib watershed. The fundamental target of this examination was to identify the land use change utilizing Remotes sensing for manageable land use arranging in Upper Rib watershed. The two satellite pictures for the year 2007 and 2018 were downloaded and utilized for recognizing the land cover changes. Most extreme probability arrangement was utilized in ERDAS Imagine device for characterizing the pictures. Ground truth focuses were gathered and utilized for check of picture arrangement. This was identified with the proceeded with extension of developed and settlement over years in River watershed. The information about the adjustment in land use is so fundamental for the organization and land use arranging exercises in upper Rib watershed. This is so for, the expansion and profitability of Rib repository by decreasing the upland disintegration through powerful land use arranging and soil preservation rehearses. Consequently, this examination uncovered that there is an expansion of horticultural land which needs due consideration towards soil protection for the improvement of the helpful existence of the supply.


Al-Hassideh and R. Bill, “Land Cover Changes In The Region of

Rostock - Can Remote Sensing And Gis Help To Verify And

Consolidate Official Census Data”, 2008.

R.D. Macleod and R.G. Congalton, “A Quantitative Comparison of

Change Detection Algorithms for Monitoring Eelgrass from

Remotely Sensed Data”, Photogrammetric Engineering & Remote

Sensing, Vol.64, No. 3, pp. 207-216. 1998.

R. Manonmani, and G.M.D. Suganya, “Remote Sensing and GIS

Application in Change Detection Study In Urban Zone Using Multi

Temporal Satellite”, International Journal of Geomatics and

Geosciences, Vol. 1, No. 1, pp. 60-65, 2010.

Canada Centre for Remote Sensing, Fundamentals of Remote

Sensing, 2015.

F. Eric, and K.A. Frimpong, “Analysis of Forest Cover Change

Detection”, International Journal of Remote Sensing Applications,

Vol. 2, No. 4, pp. 82-92, 2012.

M. Pandian, N. Rajagopal, G. Sakthivel and D.E. Amrutha, “Land use

and land cover change detection using remote sensing and GIS in

parts of Coimbatore and Tiruppur districts, Tamil Nadu, India”, J

Indian Soc Remote, Vol. 3, No. 1, 2014.

T.G.Andualem, and B.Gebremariam, “Impact of land use land cover

change on stream flow and sediment yield:A case study of

GilgelAbay watershed, Lake Tana Sub-Basin, Ethiopia”, Int J

Technol Enhance, Vol. 3, pp. 28-42, 2015.

E.F Lambin, H.J Geist, and E.Lepers, “Dynamics of land-use and

land-cover change in tropical regions”, Annual review of environment

and resources, Vol. 28, pp. 205-241, 2003.

T.M. Lillesand, and R.W. Kiefer, Remote sensing and image

interpretation, (4thedn) New York: Wiley, USA, Vol. 132, pp. 248,

S.N.Islam, “Threatened wetlands and ecologically sensitive

ecosystems management in Bangladesh”, Front. Earth Sci. China,

Vol. 4, No. 4, pp. 438–448, 2010.

A.D. Lopez, C.D. Mathers, M. Ezzati, D.T. Jamison, and C.J.

Murray, “Global and regional burden of disease and risk factors,

: systematic analysis of population health data”, Lancet, Vol.

, No. 9524, pp. 1747–1757, 2006.

G.M. Foody, “Status of land cover classification accuracy

assessment”, Remote Sensing of Environment, Vol. 80, No. 1,pp. 185-


J.F.Mas, Monitoring Land - Cover Changes: “A Comparison of

Change Detection Techniques”, International Journal of Remote

Sensing, Vol. 20, No. 1, pp.139-152, 1999.

H. McNairn, and R. Protz, “Mapping corn residue cover on

agricultural fields in Oxford County Ontario, using Thematic

Mapper”, Canadian Journal of Remote Sensing, Vol.19, No. 2, pp.

-159, 1993.

M. Jemberie, T. Gebrie, and B. Gebremariam, “Evaluation of land

use land cover change on stream flow: A case study of Dedissa sub

basin, Abay basin, South Western Ethiopia”, Evaluation IJIERT, Vol.

, pp. 44-60, 2016.

VVLN. Sarma, G. MuraliKrishna, B. HemaMalini, and K.

NageswaraRao, “Landuse / landcover change detection through

remote sensing and its climatic implications in the Godavari Delta

Region”, J Indian Soc Remote, Vol. 29, pp. 85-91, 2001.

A. Owojori, and H Xie, “Landsat image-based LULC changes of San

Antonio,Texas using advanced atmospheric correction and objectoriented image analysis approaches”, In 5th International symposium

on remote sensing of urban areas, Tempe, AZ, USA.March 14-16,

T.G. Andualem, G. Belay, and A. Guadie, “Land Use Change

Detection Using Remote Sensing Technology”, J Earth SciClim

Change, Vol. 9, pp. 496, 2018.

F. Yuan, K.E. Sawaya, B.C. Loeffelholz, and M.E. Bauer. “Land

cover classification and change analysis of the Twin Cities

(Minnesota) metropolitan areas by multitemporal Landsat remote

sensing”, Remote Sensing of Environment, pp. 317-328, 2005.

Esri User Conference: GIS – Inspiring what’s Next July 8 - 12, 2019,

San Diego Convention Center, San Diego, California.

Data Science Machine Learning For Beginners, [online] Available:

http://www.towardsdatascience.com, 2018.

S. Nayana, Ratnaparkhi, D. AjayNagne and BhartiGawali, “Analysis

of Land Use/Land Cover Changes Using Remote Sensing and GIS

Techniques in Parbhani City, Maharashtra”, India Cloud

Publications, International Journal of Advanced Remote Sensing and

GIS, Vol. 5, No. 4, pp. 1702-17081, 2016.

J. Bioucas-Dias et al., “Hyperspectral remote sensing data analysis

and future challenges”, IEEE Geosci. Remote Sens. Mag., Vol. 1, No.

, pp. 6–36, Jun. 2013.

G. Vivoneet al., “A critical comparison among pansharpening

algorithms”, IEEE Trans. Geosci. Remote Sens., Vol. 53, No. 5, pp.

–2586, May 2015.

J. Zhang, “Multi-source remote sensing data fusion: Status and

trends”, Int. J. Image Data Fusion, Vol.1, No. 1, pp. 5–24, Mar.2010.

E. Pardo-Iguzquiza, V.F. Rodríguez-Galiano, M. Chica-Olmo, and

P.M. Atkinson, “Image fusion by spatially adaptive filtering using

downscaling cokriging”, ISPRS J. Photogramm. Remote Sens., Vol.

, No. 3, pp. 337–346, May 2011.

M. H. R. Sales and C. M. Souza, Jr., and P.C. Kyriakidis, “Fusion of

MODIS images using kriging with external drift”, IEEE Trans.

Geosci. Remote Sens., Vol. 51, No. 4, pp. 2250–2259, Apr. 2013.



How to Cite

Suresh Babu, J., & Sudha, T. (2019). A Novel Remote Sensing Technology on Land Analysis Use Change Detection. Asian Journal of Computer Science and Technology, 8(3), 10–14. Retrieved from https://ojs.trp.org.in/index.php/ajcst/article/view/2733

Most read articles by the same author(s)