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
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