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Wyświetlanie 1-3 z 3
Tytuł:
3D Mapping by Photogrammetry and LiDAR in Forest Studies
Autorzy:
Firoz, Ahmad
Uddin, Md Meraj
Goparaju, Laxmi
Powiązania:
https://bibliotekanauki.pl/articles/1178078.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Anaglyph
Canopy Height Model
Lidar
Photogrammetry
Point cloud
Stereo-Image
Opis:
Aerial imagery have long been used for forest Inventories due to the high correlation between tree height and forest biophysical properties to determine the vertical canopy structure which is an important variable in forest inventories. The development in photogrammetric softwares and large availability of aerial imagery has carved the path in 3D mapping and has accelerated significantly the use of photogrammetry in forest inventory. There is tremendous capacity of 3D mapping which has been recognized in research, development and management of forest ecosystem. The aim of this article is to provide insights of 3D mapping (photogrammetry including Lidar) in forest-related disciplines. We utilizing the satellite stereo pair and LiDAR point cloud as a case study for producing the anaglyph map and Canopy Height Model (CHM) respectively. The study also revealed the area verses canopy height graph. Present study has some strength because it was demonstrated the use of advance software module of ARC/GIS and Erdas Imagine for 3D mapping using Photogrammetry and LiDAR data sets which is highly useful in forest management, planning and decision making.
Źródło:
World Scientific News; 2018, 95; 224-234
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Role of Geospatial Technology in Crime Mapping: A Perspective View of India
Autorzy:
Ahmad, Ahmad
Uddin, Md Meraj
Goparaju, Laxmi
Powiązania:
https://bibliotekanauki.pl/articles/1178277.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Crime Analysis
Crime Mapping
Geographical Information Systems
India
Opis:
The advancement in computer science technology and development of GIS application softwares and the accessibility of various geographic data through open source data sources make it feasible for police and law enforcement departments to use it effectively.Crime mapping and spatial analysis using GIS tools such as hot spot generation, zonation, navigation, and crime profiling, mobile location identification and web based various application are well recognized and can be scientifically applied for betterment of citizens whereas it can be effectively used for prediction and control of crime. The present study analyzed the temporal crime data (Murder, dacoity, robbery, burglary, theft and riots) of India from the year 2001 to 2015 to understand the temporal trend whereas state wise crime data (IPC crime registered) from the year 2011 to 2015 was utilized to generate crime density map and percent change. We have also used the crime data for 10 citis (highest crime rate) of India including all metro cities for the year 2015 to understand city crime trend towards various crimes types. By analyzing the crime data of 2015 the study reveals that the crime density was in the range of 65.8 to 1140 the lowest in Nagaland whereas highest in Delhi which was found to be roughly 4.5 times than the national average. After the evaluation of crime percent change for the year 2015 with preceding year it was found that 29.6% largest increase in crime in Daman and Diu whereas Kerala and Delhi got second and third position with value 24.3% and 23% respectively. The evaluation of ten cities including the metro cities was done for the year 2015. The various city crime (total cognizable crime under IPC) per lakh population varies from 189.4 to 925.9 was found highest in the city Indore whereas it was found lowest in Chennai city. Murder, dacoity, robbery, burglary, theft, riots and other IPC crime per lakh population were found in the range of (0.9 to 11.3), (0 to 1.7), (0.6 to 31.1), (1.1 to 57.17), (14.8 to 445.6), (0.5 to 35.4) and (147.7 to 576.2) respectively. Patna city leads in Murder and dacoity. Indore leads in the crime like burglary and other IPC crime. Delhi city reported highest in robbery, theft whereas record was found lowest in riots.
Źródło:
World Scientific News; 2017, 88, 2; 211-226
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Forest fire trend analysis and effect of environmental parameters: A study in Jharkhand State of India using Geospatial Technology
Autorzy:
Firoz, Ahmad
Goparaju, Laxmi
Qayum, Abdul
Quli, S. M. S.
Powiązania:
https://bibliotekanauki.pl/articles/1178773.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Cramer’s V coefficient
Forest fire
Jharkhand
Kriging
Meteorological data
Opis:
Forest fires are a major threat to the existence of forests these days due to climate change and global warming scenario. The present study utilizes geospatial techniques to analyze the incidences of forest fires events from the year 2005 to 2016 in the Jharkhand state of India. Forest fire hotspot areas within the state were identified. The analysis of the datasets reveals that approximately 89% of the forest fires occur in the month of March and April. From 1st March to 10th March the fire starts in North East part of Jharkhand forest because of high wind speed and it continues till the end of March. Later, it intensifies to the south of Jharkhand in Paschim (west) Singhbhum district from 11th to 20th March. From 21st to 31st March the forest fire starts in North West part of Jharkhand in Palamu district which it continues along with Paschim (west) Singhbhum district till the end of April. Three major locations were identified in Jharkhand forest as forest fire hotspot. Statistical analysis (Cramer’s V coefficient) was performed to test the scale / magnitude of association of forest fire with driving factor (meteorological parameters). The range of CVC value varied between 0.74 to 0.32 whereas rainfall retain the highest value 0.74 means it is one of the strongest driving factor among all other environmental parameter contribute to forest fire events. The study of forest fire event analysis, its correlation of trend and its interrelationship with environmental/meteorological parameters gives better comprehension for forest fire events thus helps in mitigation, control and prevention to safeguard our precious forest and the environment.
Źródło:
World Scientific News; 2017, 90; 31-50
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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