In this project, we studied land use and land cover classification of Nirmal Mandal, Adilabad district, Telenagna state by using Geographical Information system and Remote sensing techniques. LISS-IV satellite image r...In this project, we studied land use and land cover classification of Nirmal Mandal, Adilabad district, Telenagna state by using Geographical Information system and Remote sensing techniques. LISS-IV satellite image resolution 5 m × 5 m provides quality information for identification of Land use/Land cover characteristics. The image accuracy shows 45.70% of Agricultural land, 9.10% Built-up land, Forest area is 7.90%, Barren land have 7.60% and Uncultivated land occupied 29.70%. National land use and land cover mapping report based on 5 divisions classified in the study area. The area land use and land cover classification provide reliable data to understand land, water, soil, forests, urban sprawl. This socio economic survey significantly shows the changes that so far have taken place. This will help the people/farmers for the future land use and land cover change detection. Regular monitoring of agriculture, forest and greening efforts for plantation at suitable area, schemes and limitations. Free ware browsing of land cover gives sufficient development to plenty resource.展开更多
In this paper the entanglement of pure 3-qubit states is discussed. The local unitary （LU） polynomial invariants that are closely related to the canonical forms are constructed and the relations of the coefficients ...In this paper the entanglement of pure 3-qubit states is discussed. The local unitary （LU） polynomial invariants that are closely related to the canonical forms are constructed and the relations of the coefficients of the canonical forms are given. Then the stochastic local operations and classlcal communication （SLOCC） classification of the states are discussed on the basis of the canonical forms, and the symmetric canonical form of the states without 3-tangle is discussed. Finally, we give the relation between the LU polynomial invariants and SLOCC classification.展开更多
Spatial and temporal informationon urban infrastructure is essential and requires various land-cover/land-use planning and management applications.Besides,a change in infrastructure has a direct impact on other land-c...Spatial and temporal informationon urban infrastructure is essential and requires various land-cover/land-use planning and management applications.Besides,a change in infrastructure has a direct impact on other land-cover and climatic conditions.This study assessed changes in the rate and spatial distribution of Peshawar district’s infrastructure and its effects on Land Surface Temperature(LST)during the years 1996 and 2019.For this purpose,firstly,satellite images of bands7 and 8 ETM+(Enhanced Thematic Mapper)plus and OLI(Operational Land Imager)of 30 m resolution were taken.Secondly,for classification and image processing,remote sensing(RS)applications ENVI(Environment for Visualising Images)and GIS(Geographic Information System)were used.Thirdly,for better visualization and more in-depth analysis of land sat images,pre-processing techniques were employed.For Land use and Land cover(LU/LC)four types of land cover areas were identified-vegetation area,water cover,urbanized area,and infertile land for the years under research.The composition of red,green,and near infra-red bands was used for supervised classification.Classified images were extracted for analyzing the relative infrastructure change.A comparative analysis for the classification of images is performed for SVM(Support Vector Machine)and ANN(Artificial Neural Network).Based on analyzing these images,the result shows the rise in the average temperature from 30.04℃ to 45.25℃.This only possible reason is the increase in the built-up area from 78.73 to 332.78 Area km^(2) from 1996 to 2019.It has also been witnessed that the city’s sides are hotter than the city’s center due to the barren land on the borders.展开更多
文摘In this project, we studied land use and land cover classification of Nirmal Mandal, Adilabad district, Telenagna state by using Geographical Information system and Remote sensing techniques. LISS-IV satellite image resolution 5 m × 5 m provides quality information for identification of Land use/Land cover characteristics. The image accuracy shows 45.70% of Agricultural land, 9.10% Built-up land, Forest area is 7.90%, Barren land have 7.60% and Uncultivated land occupied 29.70%. National land use and land cover mapping report based on 5 divisions classified in the study area. The area land use and land cover classification provide reliable data to understand land, water, soil, forests, urban sprawl. This socio economic survey significantly shows the changes that so far have taken place. This will help the people/farmers for the future land use and land cover change detection. Regular monitoring of agriculture, forest and greening efforts for plantation at suitable area, schemes and limitations. Free ware browsing of land cover gives sufficient development to plenty resource.
基金The project supported by National Natural Science Foundation of China under Grant No. 6J3433050 and the Natural Science Foundation of Xuzhou Normal University （Key Project） under Grant No. 03XLA04
文摘In this paper the entanglement of pure 3-qubit states is discussed. The local unitary （LU） polynomial invariants that are closely related to the canonical forms are constructed and the relations of the coefficients of the canonical forms are given. Then the stochastic local operations and classlcal communication （SLOCC） classification of the states are discussed on the basis of the canonical forms, and the symmetric canonical form of the states without 3-tangle is discussed. Finally, we give the relation between the LU polynomial invariants and SLOCC classification.
文摘Spatial and temporal informationon urban infrastructure is essential and requires various land-cover/land-use planning and management applications.Besides,a change in infrastructure has a direct impact on other land-cover and climatic conditions.This study assessed changes in the rate and spatial distribution of Peshawar district’s infrastructure and its effects on Land Surface Temperature(LST)during the years 1996 and 2019.For this purpose,firstly,satellite images of bands7 and 8 ETM+(Enhanced Thematic Mapper)plus and OLI(Operational Land Imager)of 30 m resolution were taken.Secondly,for classification and image processing,remote sensing(RS)applications ENVI(Environment for Visualising Images)and GIS(Geographic Information System)were used.Thirdly,for better visualization and more in-depth analysis of land sat images,pre-processing techniques were employed.For Land use and Land cover(LU/LC)four types of land cover areas were identified-vegetation area,water cover,urbanized area,and infertile land for the years under research.The composition of red,green,and near infra-red bands was used for supervised classification.Classified images were extracted for analyzing the relative infrastructure change.A comparative analysis for the classification of images is performed for SVM(Support Vector Machine)and ANN(Artificial Neural Network).Based on analyzing these images,the result shows the rise in the average temperature from 30.04℃ to 45.25℃.This only possible reason is the increase in the built-up area from 78.73 to 332.78 Area km^(2) from 1996 to 2019.It has also been witnessed that the city’s sides are hotter than the city’s center due to the barren land on the borders.
基金Fund： The Natural Science Fund Project in Guangxi （GUI science nature： 2011GXNSFA018181 ） The Program for Excellent Talents in Guangxi Higher Education Institutions （GUI teaching finance basis [2010]92） The National Natural Science Foundation of China （ NSFC） （grant number： 81060300）
