Series-1 (Mar. – Apr. 2025) Mar. – Apr. 2025 Issue Statistics
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Abstract: This study offers a reasonable investigation of the changes in land use and land cover (LULC) over the course of three decades (1991–2021) in Bundi city of Rajasthan. Remote sensing and GIS are the newest approaches for detecting changes in land use and land cover mapping. Data presentation, quality, and efficiency of the mapping are all enhanced by this technique. To study LULC variations in Bundi city, Landsat images (i.e., Landsat-5 and Landsat-8) obtained in the years 1991, 2001, 2011, and 2021 were used. For this study, a classification embraced of five classes—Crop......
Keywords: Land use, satellite imagery, urbanization, Kappa coefficient, LST
[1]
Taloor, A. K., Kumar, V., Singh, V. K., Singh, A. K., Kale, R. V., Sharma, R., Khajuria, V., Raina, G., Kouser, B., & Chowdhary, N. H. (2020). Land Use Land Cover Dynamics Using Remote Sensing And GIS Techniques In Western Doon Valley, Uttarakhand, India. In Advances In Geographical And Environmental Sciences (Pp. 37–51). Https://Doi.Org/10.1007/978-981-15-2097-6_4
[2]
Ehlers M., Jadkowaski M.A., Howard R.R., Brostuen D.E. (1990) Application Of SPOT Data For Regional Growth Analysis And Local Planning. In Photogrammetric Engineering And Remote Sensing, Vol.58, Pp.175–180.
[3]
Wilken, F., Wagner, P. D., Narasimhan, B., And Fiener, P. (2017). Spatio-Temporal Patterns Of Land Use And Cropping Frequency In A Tropical Catchment Of South India. In Applied Geography, 89, 124-132.
[4]
Prasad, S., & Singh, R. B. (2018). Urbanization And Land Use/Land Cover Change In Varanasi City. In National Geographical Journal Of India, 64(1-2), 185-197.
[5]
García-Á Lvarez, D.; Olmedo, M.T.C.; Mas, J.-F.; Paegelow, M. (2022) Land Use Cover Mapping, Modelling And Validation. A Background In Land Use Cover Datasets And Validation Tools; Springer International Publishing: Cham, Switzerland, Pp. 21–33. Https://Doi.Org/10.1007/978-3-030-90998-7_2..
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Abstract: This research employs Sentinel-2A satellite data and GIS methodologies to examine the cropping patterns in Sirsa District, Haryana, during Kharif (2023) and Rabi (2024) seasons. With the major spectral bands (Bands 3, 4, and 8) employed for analyzing vegetation, the study detects predominant crops like cotton, rice, wheat, and mustard. Subsetting of the satellite image, classification, and digitization of non-agricultural land uses with the aid of GIS software form the method. Unsupervised classification methods were used to classify land cover, and then crop area estimation for both seasons was done. Accuracy assessment and ground truthing were conducted to test the classification outputs......
Keywords: Rabi and Kharif Crops, Crop Area Estimation, Cropping Patterns, Sentinel-2A, Digital Image Processing (DIP), GIS
[1]. Bharathkumar, L., & Mohammed-Aslam, M. A. (2015). Crop pattern mapping of Tumkur Taluk using NDVI technique: A remote sensing and GIS approach. Aquatic Procedia, 4, 1397–1404. https://doi.org/10.1016/j.aqpro.2015.02.181
[2]. Chavan, K. A., Bodake, P. S., Pande, C. B., Atre, A. A., Gorantiwar, S. D., & Raut, A. D. (2020). Identification of cropping pattern in Khadambe bk. using Sentinel 2 images and Arc GIS software. International Journal of Current Microbiology and Applied Sciences, 9(9), 1234–1245. https://doi.org/10.20546/ijcmas.2020.909.141
[3]. Gowda, K. B. S. (2024). Agriculture cropping pattern in India: A study. African Journal of Biomedical Research, 27(5s), 410–414.
[4]. Gupta, A. K. (2018). Cropping patterns and cropping systems in India and its difference: A review article. International Journal of Current Pharmaceutical Review and Research, 10(1), 62–65.
[5]. Jincy, P. P., Priyanka, P. L., Madhumitha, R., Jasim, H. R., Kumaraswamy, K., & Jegankumar, R. (2018). A study on the cropping intensity and crop combination regions of Kongu Uplands, Tamil Nadu. International Journal of Scientific Research and Reviews, 7(2), 157–166. Retrieved from www.ijsrr.org.
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Abstract: This research paper explores the application of Latent Profile Analysis (LPA) focusing on identifying hidden patterns in the mixed observed distribution of multivariate fluid geothermal geochemistry in Indian hot springs using latent class clustering. The study uses robust multivariate statistical techniques to spatially dependent multivariate geothermal geochemistry data from hot springs located in two regions with different geologictectonic settings: a 2400 km-long arcuate belt in the tectonically active Extra-Peninsular Himalayan region and late-Precambrian or......
Keywords:Latent Class Cluster (LCC), Profile plots, k-mean cluster analysis, factor analysis, geothermal geochemistry, hot springs, Peninsula, extra- Peninsula, India
[1] A.Roy, 1994. GTHERMIS – An Information Management And Analysis System For Geothermal Data Of India, A Field Season
Report (1993-94)
[2] Amitabha Roy, 2024. Geostatistics Applied To Fluid Geochemistry Of Geothermal Fields In Peninsular And Extra-Peninsular
India. White Falcon Publishing, Chandigarh, India, 2024. Pp. 1-142. ISBN: 979-8-89222-356-0
[3] Amitabha Roy, 2023. Geostatistics As Applied To Fluid Geochemistry Of Indian Hot Springs. J. Appl. Geol. & Geophys (ISORJAGG),
V.11, Issue 4, Ser. II, Pp. 01-37
[4] Amitabha Roy, 2024. Data Visualization To Understand How Data Is Structured Using K-Means And Hierarchial Cluster Analysis.
J. Appl. Geol. & Geophys (ISOR-JAGG), V.12, Issue 6, Ser. I, Pp. 01-05
[5] A.Fog, 2014. Why Is Factor Rotation Always Recommended, Though It Obscures General Factors?, J. Ross-Cultural Research.
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Abstract: In geothermal exploration, key parameters such as the geothermal gradient and heat flow are essential for evaluating the geothermal potential of a region. In the Olkaria geothermal field, these parameters are usually obtained directly from drilled wells at shallow depths. However, the magnetic method offers an indirect approach to determine the geothermal gradient and heat flow by determining the depth to the base of magnetic sources (DBMS), making the assumption......
Keywords: Magnetic data, spectral analysis, Curie point depth, subsurface temperature
[1]
Andr´Es, J., Marz´An, I., Ayarza, P., Martí, D., Palomeras, I., Torn´E, M., Campbell, S., Carbonell, R., 2018. Curie Point Depth Of The Iberian Peninsula And Surrounding Margins. A Thermal And Tectonic Perspective Of Its Evolution. J. Geophys. Res. Solid Earth 123, 2049–2068. Https://Doi.Org/10.1002/2017JB014994.
[2]
Blakely, R. J. (1995). Potential Theory In Gravity And Magnetic Applications. New York: Cambridge University Press.
Doi:10.1017/CBO9780511549816.
[3]
Chorowicz, J., 1990. Dynamics Of The Different Basin-Types In The East African Rift. J. African Earth Sci. 10, 271–282.
Https://Doi.Org/10.1016/0899-5362(90)90060-R.
[4]
Clarke, G.M.C., Woodhall, D.G., Allen, D., Darling, G. (1990). Geological, Volcanological, And Hydrogeological Controls On The Occurrence Of Geothermal Activity In The Area Surrounding Lake Naivasha.
[5]
Didas, M. M., Armadillo, E., Hersir, G. P., Cumming, W., & Rizzello, D. (2022). Regional Thermal Anomalies Derived From Magnetic Spectral Analysis And 3D Gravity Inversion: Implications For Potential Geothermal Sites In Tanzania. Geothermics, 103(102431). Https://Doi.Org/10.1016/J.Geothermics.2022.102431.
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Abstract: This research paper investigates two significant geological outliers in India—Kutchch-Kathiawar in Gujarat and Shillong-Karbi Anglong in Meghalaya—through the lens of spatial analysis and geospatial statistics. The study employs advanced multivariate statistical techniques to analyze geothermal hot spring data and its correlation with seismic zones and geotectonic settings across these regions. It highlights the challenges of spatial analysis, particularly the classification of spatial techniques and the determination of precise spatial locations. Both......
Keywords: Spatial statistics, Kuchch-Kathiawar, Saurashtra, Shillong-Karbi Anglong, Meghalaya, geomorphotectonics, geothermal geochemistry, seismicity. Himalayas
[1]
Amitabha Roy, 2024. The Book: Geostatistics Applied To Fluid Geochemistry Of Geothermal Fields In Peninsular And Extra-Peninsular India. White Falcon Publishing, Chandigarh, India. 2024. Pp. 1-144. ISBN: 979-8-89222-356-0
[2]
A.Roy, 1994. GTHERMIS – An Information Management And Analysis System For Geothermal Data Of India, A Field Season Report (1993-94).
[3]
Amitabha Roy, 2024. Geomorphotectonics Of The Kathiawar (Saurashtra) Kutchch Outlier: A Spatial Statistical Approach. J. Appl. Geol. & Geophys (Isor-Jagg), V. 12, Issue 6, Ver. I, Pp. 44-48
[4]
Amitabha Roy, 2025. A Spatial Statistical Approach To Geomorphotectonics Of The Karbi-Shillong Plateau Outlier. . J. Appl. Geol. & Geophys (Isor-Jagg), V. 13 Issue 1, Ser. I, Pp. 20-22
[5]
Ercan Özcan, Pratul Saraswati, Ali Osman Yücel, Nowrad Ali, And Muhammad Hanif, February 2018. Bartonian Orthophragminids From The Fulra Limestone (Kutch, W India) And Coeval Units In Sulaiman Range, Pakistan: A Synthesis Of Shallow Benthic Zone (SBZ) 17 For The Indian Subcontinent, Geodinamica Acta, 30(1).