Zobrazeno 1 - 10
of 411
pro vyhledávání: '"M. Rajasekhar"'
Autor:
B.N. Anusha, K. Raghu Babu, B. Pradeep Kumar, P. Padma Sree, G. Veeraswamy, Ch. Swarnapriya, M. Rajasekhar
Publikováno v:
Geosystems and Geoenvironment, Vol 2, Iss 2, Pp 100131- (2023)
Land suitability analysis (LSA) is the progression of influence if a certain piece of land is suitable for a specific use. Land suitability study for crops is an essential contemporary step in identifying appropriate and sustainable land use strategi
Externí odkaz:
https://doaj.org/article/b216f090827b4b299ce59fe1af4a674b
Publikováno v:
Applied Water Science, Vol 12, Iss 4, Pp 1-16 (2022)
Abstract The present study was carried out to identify of the groundwater potential zones (GWPZ) in the northern part of the Anantapur district of Andhra Pradesh State, India using Remote Sensing (RS), Geographical information system (GIS), and Analy
Externí odkaz:
https://doaj.org/article/565e3e24ca794b9a89ccc4cca4ac73f0
Autor:
Harisingh Kshatri, M. Rajasekhar, Komaleswara Rao Mallela, Pullagura Gandhi, D. Barik, Himadri Majumder
Publikováno v:
Advances in Materials Science and Engineering, Vol 2023 (2023)
In this study, friction stir processing (FSP) was used to create new surface properties of the Al 6101-SiC composite, and different types of friction stir process tools are used like cylindrical with thread and conical with thread. The SEM and EDAX a
Externí odkaz:
https://doaj.org/article/9b2f445c45dc4445bf1ba0492e453b88
Publikováno v:
Environmental Challenges, Vol 8, Iss , Pp 100569- (2022)
Surface water monitoring is a necessary component of researching ecological and hydrological processes. Recent improvements in satellite-based remote sensors have ushered in a new era in the area of surface water monitoring. The assessment and mappin
Externí odkaz:
https://doaj.org/article/6ee12dc550774d2abd4ad3f3492eec54
Publikováno v:
Environmental Challenges, Vol 8, Iss , Pp 100578- (2022)
This research aims to find a relation between measured Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) for assessing land degradation and desertification in semi-arid regions using LANDSAT 8. In the twenty-first centu
Externí odkaz:
https://doaj.org/article/84936a008ad443a086defa239c248d63
Publikováno v:
HydroResearch, Vol 2, Iss , Pp 1-11 (2019)
Identification of groundwater potential zones (GWPZ) in a crystalline rock terrain is a crucial task for sustainable groundwater resource management, through scientific knowledge and modern geospatial techniques. Remote Sensing (RS) and Geographical
Externí odkaz:
https://doaj.org/article/72dcf16696e143b78d653dac945a0c4d
Publikováno v:
HydroResearch, Vol 2, Iss , Pp 97-108 (2019)
Increasing urbanization and the population's demand for water shortages in urban and rural areas leads to a decline in groundwater resources, to the need to plan artificial groundwater recharge. This study shows the ability of three decision-making a
Externí odkaz:
https://doaj.org/article/481c6c3308fb4f77a017fce5c4d2ae95
Publikováno v:
Environmental Challenges, Vol 5, Iss , Pp 100278- (2021)
The present study integrates various decision-making methods viz. Fuzzy Logic (FL), Frequency Ratio (FR), Analytical Hierarchy Process (AHP) to delineate the artificial groundwater recharge zones (AGRZs) in semi-arid region of south India. Eight crit
Externí odkaz:
https://doaj.org/article/f3d572cdaaf349e9b42d75f6e6fc8f6c
Autor:
B. Pradeep Kumar, K. Raghu Babu, M. Ramachandra, C. Krupavathi, B. Narayana Swamy, Y. Sreenivasulu, M. Rajasekhar
Publikováno v:
Data in Brief, Vol 30, Iss , Pp 105560- (2020)
Present dataset aims at the inventory data on preparation of Desertification Status Maps (DSM) for the first time in semi-arid region of Anantapur district in the state of Andhra Pradesh, South India by applying Normalized Difference Vegetation Index
Externí odkaz:
https://doaj.org/article/16db30d92876480391a611a51e29915b
Publikováno v:
Data in Brief, Vol 20, Iss , Pp 1676-1682 (2018)
The data deals with the functions that automatically extracted lineaments from the Cartosat, ASTER and SRTM of Digital Elevation Model (DEM) of different spatial resolutions, in the software ArcGIS 10.4. The extracted lineaments result shows the ASTE
Externí odkaz:
https://doaj.org/article/26ada616b86647e28b3fcba9e065f6c5