scholarly journals Simulation of the Hydrological Components of Dez River Basin by the classification of Land Use Categories Using SUFI-2 Algorithm

2022 ◽  
Vol 21 (63) ◽  
pp. 81-98
Author(s):  
Elaheh Asgari ◽  
Mohammad Baaghideh ◽  
Majid Hosseini ◽  
Alireza Entezari ◽  
Asghar Kamyar ◽  
...  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Use Categories

scholarly journals Comparação entre diferentes algoritmos de classificação supervisionada em imagens Landsat-8 no mapeamento temático da Bacia Hidrográfica do rio Caldas, Goiás

2019 ◽  
Vol 12 (3) ◽  
pp. 961
Author(s):  
Leovigildo Aparecido Costa Santos ◽  
Paulo Eliardo Morais de Lima
Keyword(s):  
Land Use ◽  
Maximum Likelihood ◽  
River Basin ◽  
Supervised Classification ◽  
Likelihood Method ◽  
Classification Algorithms ◽  
Landsat 8 ◽  
Entire Area ◽  
Area Of Interest

Diferentes métodos são empregados para a classificação digital de imagens, porém, podem apresentar desempenhos diferentes, sendo importante testá-los para verificar suas eficácias no mapeamento de uso e cobertura da terra com intuito de se selecionar o classificador que apresente os melhores resultados e maior veracidade em relação à verdade de campo. O objetivo deste estudo foi avaliar e comparar os desempenhos de quatro algoritmos de classificação supervisionada para o mapeamento do uso e cobertura da terra da bacia hidrográfica do Rio Caldas – GO, utilizando imagens Landsat-8. Para tanto, foram utilizadas as cenas de órbita/ponto 222/71 e 222/72, com datas de passagem em 24/10/2017 e 22/10/2017, mosaicadas para formar uma única imagem de dimensões que abrangesse toda a área de interesse. A composição RGB utilizada foi das bandas 6, 5 e 4 (R=6, G=5, B=4). Para a realização do processamento digital da imagem foi empregado o software ENVI versão 5.0 e à elaboração de mapas temáticos o QGIS 2.18. Os algoritmos testados foram: Paralelepípedo, Distância de Mahalanobis, Distância Mínima e Máxima-verossimilhança. Como parâmetros de comparação foram utilizados os coeficientes de Kappa, acurácias global e matrizes de confusão. Os melhores resultados para a classificação de uso e cobertura foram obtidos pelo método da Máxima-verossimilhança (MaxVer), os piores pelo método do Paralelepípedo, os outros classificadores apresentaram resultados intermediários entre o melhor e o pior. Com os resultados obtidos pela classificação por MaxVer, constatou-se que atualmente a maior parte do solo da bacia é ocupada pelas classes Pastagem (63,14%) e Vegetação nativa (22,07%). Comparison between different supervised classification algorithms in Landsat-8 images in the thematic mapping of the caldas river basin, GoiásA B S T R A C TDifferent methods are used for a digital classification of images, however, they can present different performances, being important to test them to verify their efficiencies in the mapping of land use and coverage in order to select the classifier that presents the best results and greater truthfulness In relation to the truth of the field. The objective of this study was to evaluate and compare the performance of four supervised classification algorithms for the mapping of the land use and land cover of the Caldas river basin - GO, using Landsat-8 images. To do so, they were like the orbit / dot scenes 222/71 and 222/72, with passing date on 10/24/2017 and 10/22/2017, mosaicked to form a single image of dimensions covering an entire area of interest . An RGB composition used for bands 6, 5 and 4 (R = 6, G = 5, B = 4). For the realization of digital image processing and the use of ENVI version 5.0 software and the development of thematic maps, QGIS 2.18. The algorithms tested were: Parallelepiped, Mahalanobis Distance, Minimum Distance and Maximum Likelihood. As the comparison parameter is used by Kappa coefficients, global accuracy and matrices of confusion. The best results for a classification of use and coverage are obtained by the Maximum-likelihood method (MaxVer), the most common methods, the other classifiers presented the intermediates between the best and the worst. With the results obtained by classification by MaxVer, it was verified that at the moment it is part of the soil of the basin is occupied by classes Pasture (63.14%) and native vegetation (22.07%).Keywords: Use and coverage; remote sensing; geoprocessing; Landsat.

scholarly journals Current Land Use in the Lower Bîc Plane, Republic of Moldova

2018 ◽  
Vol 12 (2) ◽  
pp. 5-12
Author(s):  
Canţîr Angela ◽  
Sîrodoev Ghennadi
Keyword(s):  
Land Use ◽  
Statistical Data ◽  
Republic Of Moldova ◽  
Use Categories

Abstract In terms of identification and utilization, land categories, were adapted to the specific classification of the Moldavian cadastre as well as some classification items from the Romanian General Cadastre. Here are represented by maps for every utilization category and are given statistical data about every category. Also is made an analysis of all the land use categories and is given a general presentation of the conditions and state in which these land are kept.

scholarly journals INFLUÊNCIA DO USO E OCUPAÇÃO DO SOLO NA DISPONIBILIDADE HÍDRICA DA BACIA HIDROGRÁFICA DO RIO URUÇUÍ-PRETO, PIAUÍ

Nativa ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 567
Author(s):  
Kaíse Barbosa Souza ◽  
João Batista Lopes Silva ◽  
Rafael Felippe Ratke ◽  
Gerson Santos Lisboa ◽  
Karla Nayara Santos Almeida
Keyword(s):  
Land Use ◽  
River Basin ◽  
Supervised Classification ◽  
Thematic Mapper ◽  
Large Area ◽  
Simple Correlation ◽  
Burned Areas ◽  
Crop Field ◽  
Annual Duration

Objetivou-se verificar a influência das mudanças no uso e ocupação do solo na disponibilidade hídrica da bacia hidrográfica do rio Uruçuí-Preto, Piauí, no período de 1984 a 2007. Para a avaliação do uso do solo foram utilizadas imagens do Satélite Landsat 5, sensor TM (Thematic Mapper) e realizou-se a classificação automática supervisionada auxiliada pelo algoritmo de Máxima Verossimilhança. Para a análise do comportamento hidrológico foram utilizados dados da vazão média, máxima e mínima anual; vazão mínima com sete dias de duração anual (Q7); e as vazões associadas às permanências de 90% (Q90) e 95% (Q95). Para a associação entre as vazões e o uso do solo, fez-se a correlação simples entre as variáveis, testando seu nível de significância a 5% (p < 0,05) de probabilidade. Os resultados demonstraram que ao comparar os anos de 1984 e 2007, as classes Cerrado e Mata Ciliar reduziram 20,9% e 2,4% respectivamente, a classe Solo Exposto/Talhão Agrícola aumentou 13,48% e a classe Queimada aumentou 9,83%. Não ocorreram correlações significativas entre as variáveis classes de mudanças no uso e ocupação do solo e as vazões, devido a extensa área da bacia que amenizou consequentemente os efeitos hidrológicos.Palavras-chave: desmatamento; sensoriamento remoto; vazões. INFLUENCE OF THE LAND USE AND OCCUPATION IN HIDROLOGIC AVAILABILITY OF RIVER BASIN URUÇUÍ-PRETO, PIAUÍ ABSTRACT: The aim’s was to verify the influence of changes in land use and occupation in water availability in the river basin Uruçuí-Preto, Brazil, in the period 1984 to 2007. For the assessment of land use were used images from satellite Landsat 5 TM sensor (Thematic Mapper) and the classification of imagens was made by automatic supervised classification with the maximum likelihood algorithm. For the analysis of the hydrological behavior were used average flow data, maximum and minimum annual, minimum flow with seven days of annual duration (Q7) and flow rates associated with stays of 90% (Q90) and 95% (Q95) of the year. For the association between flow and land use was made the simple correlation between the variables, testing its 5% significance (p < 0.05). The results showed that when comparing the years 1984 and 2007, the Cerrado and Mata Riparian classes decreased 20.9% and 2.4% respectively, Solo Exposed / Crop Field class increased 13.48% and Burned Areas class increased by 9.83%. There were no significant correlations between changes of class variables in the use and occupation of land and the flows, due to the large area of the basin that has consequently reduced the hydrological effects.Keywords: deforestation; remote sensing; flow.

scholarly journals Spatial distribution of land use concentration and land-use efficiency of the Kakodonga river basin, Assam

2021 ◽  
Vol 67 (3) ◽  
pp. 282-293
Author(s):  
Rana Bora ◽  
◽  
Y.V. Krishnaiah ◽  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Forest Cover ◽  
Maximum Temperature ◽  
Land Use Efficiency ◽  
Average Maximum ◽  
Fallow Lands ◽  
Liss Iii ◽  
Use Efficiency ◽  
Use Categories

The Kakodonga river basin covers an area of about 1,113 km2. The average maximum temperature is 28.50C and the minimum temperature is 18.40C. The average rainfall of the basin is 1766 mm. The present paper is an attempt to analyze spatially land-use concentration and land-use efficiency of the Kakodonga river basin. For the preparation of thematic maps, Survey of India topographic sheets and IRS P6 LISS-III imagery (2011) data are used. The land-use categories data has been collected for three years (2012-2014) at the revenue circle level from the Economic and Statistical Department of Assam. To work out land-use concentration Bhatia’s (1965) method was adopted. The major land-use categories are forest cover, area put under non-agricultural use, barren lands, permanent pastures, and other grazing lands, miscellaneous trees and groves, culturable wasteland, current fallow land, other fallow lands, and the net area sown. The land-use efficiency has been worked out taking five positive variables are net sown area, total irrigated area, area irrigated more than once, the intensity of irrigation, and intensity of crops.

ECOLOGICAL AND ECONOMIC EFFECTIVENESS OF USE LAND IN CONDITIONS OF INFRINGEMENT OF INSTITUTIONAL TRANSFORMATIONS

2018 ◽  
pp. 58-61
Author(s):  
Oksana Sakal
Keyword(s):  
Land Use ◽  
Social Welfare ◽  
Agricultural Land ◽  
Economic Value ◽  
Economic Effectiveness ◽  
Land User ◽  
Total Economic Value ◽  
Definition Of ◽  
Welfare Theory

The article is devoted doctrinal issues of environmental and economic effectiveness of use land in conditions of infringement of institutional transformations. The modern approaches to the definition of content of ecological and economic effectiveness of land use are analyzed. It is established that the overwhelming majority of domestic researchers interpret this notion regarding the use of agricultural land or farm land. It is proved that such an approach is justified, taking into account the structure of the land fund of Ukraine. However, this reduces other goals of the land user and functions of the land. It is proposed to investigate the category of ecological and economic effectiveness of land use in accordance with the provisions of the ecological economics, social welfare theory, and concept of total economic value. Based on the classification of land functions, the criteria of selection material content and social form of ecological and economic effectiveness of land use are determined.

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