Journal of Remote Sensing & GIS
Volume 13, Issue 1 (2022)
Published
Table of contents
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Quantitative Analysis of Morphometry using G.I.S. of Pattankodoli Nala, Kolhapur, M.S., India.
Abstract: Drainage basin characteristics depends on various factors like geology of the area, soil type, hydrological setting of the area etc. Study of morphometric characters is helpful to know more about lithological structures, geomorphological features and conditions, lineaments and hydrological characteristics of the area which in turn throws light on ground water conditions and movement of the area. Study area is Pattankodoli Nala Basin, bounded by latitude 16°36'31'' N to 16°40'44'' …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 1, 2022 · pp. 1–8 Read article
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Land use and Land cover mapping for Yellanuru Mandal of Anantapur, AP, India.
Abstract: Land use and landcover (LULC) change has become a critical component of current methods for not just urban planning but also managing a region's natural resources. The focus of this research is to evaluate the LULC scenario that occurred in Yellanuru Mandal of Anantapur district, AP, India between 2010 and 2020 using Remote Sensing (RS) and Geographical Information Systems (GIS). This study was conducted by gathering Landsat data over a …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 1, 2022 · pp. 24–30 Read article
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Ground Improvement Technique Using Recycled Geo-Cell
Abstract: Geo-Cells are three dimensional Structures Orthogonally Designed. These are made using Polymers, we have Experimented and Designed Geo-Cells using Recycled High Density Polypropylene (HDPE), to get a Cost Effective Result. These Geo-Cells are then installed under Weak and Soft Soil to create a Low Density Unpaved Road. These Roads help us continue the work of shifting the Blocks from the Manufacturing Site to the Storage Place with Minimum Losses. This …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 1, 2022 · pp. 31–40 Read article
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Smart Crop Protection and Animals Detection System In Farm Areas
Abstract: Fields on plantations are frequently harmed by animals such as buffaloes, cows, goats, birds, and wild elephants. Farmers suffer significant losses as a result of this. Farmers are unable to defend their fields for 24 hours. To address this issue, an animal detection system has been developed that detects the presence of animals and provides a warning before diverting the animal without injury. The proposed system will constantly monitor the …
Published in Journal of Remote Sensing & GIS · Vol. 13, Issue 1, 2022 · pp. 41–46 Read article