2017
DOI: 10.5958/2455-7129.2017.00019.x
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Land Use Land Cover Changes Using Remote Sensing and GIS Technique: A Case Study of Navsari District, Gujarat

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Cited by 2 publications
(2 citation statements)
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“…Remote sensing data is the most common source for detection, quantification, and mapping of LULC patterns due to its repetitive data acquisition, suitable for processing, and accurate geo-referencing. Quantification of such changes is possible through GIS techniques even if the resultant spatial datasets are of different scales/ resolutions (Nayak et al 2017). Lakkad and Shrivastava (2016) used Remote Sensing and GIS techniques to estimate sediment yield and sediment delivery ratio for Dhaman Khadi Sub Watershed in Western India.…”
Section: Assessment Of Land Use Changesmentioning
confidence: 99%
“…Remote sensing data is the most common source for detection, quantification, and mapping of LULC patterns due to its repetitive data acquisition, suitable for processing, and accurate geo-referencing. Quantification of such changes is possible through GIS techniques even if the resultant spatial datasets are of different scales/ resolutions (Nayak et al 2017). Lakkad and Shrivastava (2016) used Remote Sensing and GIS techniques to estimate sediment yield and sediment delivery ratio for Dhaman Khadi Sub Watershed in Western India.…”
Section: Assessment Of Land Use Changesmentioning
confidence: 99%
“…Remote sensing data is the most common source for detection, quantification, and mapping of LULC patterns due to its repetitive data acquisition, suitable for processing, and accurate geo-referencing. Quantification of such changes is possible through GIS techniques even if the resultant spatial datasets are of different scales/ resolutions (Nayak et al, 2017). Such studies have helped in understanding the dynamics of human activities in space and time.…”
Section: Introductionmentioning
confidence: 99%