scholarly journals Geoprocessing and Landscape Ecology for Assessment Fragmentation and Connectivity of the Habitats of the Microregion of Ceres, Goiás (Brazil)

2021 ◽  
Vol 17 (3) ◽  
Author(s):  
Josimar dos Reis de Souza ◽  
Laís Naiara Gonçalves dos Reis
Keyword(s):  
Economic Development ◽  
Landscape Ecology ◽  
Supervised Classification ◽  
Contemporary Problem ◽  
Computational Algorithm ◽  
Automatic Process ◽  
Native Vegetation ◽  
Landsat 8 ◽  
Natural Environments ◽  
Homogeneous Regions

This study aimed to map and evaluate the evolution of habitat fragmentation between 2009 and 2018, using the Microregion of Ceres (Goiás) as a sample reference, using principles of Landscape Ecology. The methodology comprised the mapping of the fragments in the two years analyzed, using the OLI/Landsat 8 sensor, using scenes 222/70 and 222/71. The SPRING 5.2 software was used, where the supervised classification was performed, applying the semi-automatic process. The computational algorithm applied to classify the scenes was Maxver, which classifies pixel by pixel and groups the information of each one into homogeneous regions. After extracting the fragments of native vegetation, the methodology proposed by Juvanhol et al. (2011), in which the fragments were grouped into classes: Very Small (MP) ≤5 hectares; Small (P) ≥5.01 and ≤10 hectares; Medium (M) ≥10.01 and ≤100 hectares and Large (G) ≥100.01 hectares. For the analysis based on metrics in Landscape Ecology, the ArcGis 9.2 Patch Analyst extension was used. The results showed the expansion of vegetation cover areas in the study area, concentrated on tops of hills, APP and legal reserves. However, they pointed out intense fragmentation of native vegetation, which hinders the performance of fragments as habitats. It is considered that, from the contemporary problem of degradation of natural environments to the detriment of economic development, studies like this are necessary in order to identify existing environmental problems and propose strategies to minimize and mitigate ecological imbalances.

scholarly journals VALIDATION OF SOIL USES AROUND RESERVOIRS IN THE SEMI-ARID THROUGH IMAGE CLASSIFICATION

2021 ◽  
Vol 34 (3) ◽  
pp. 670-681
Author(s):  
EFRAIM MARTINS ARAÚJO ◽  
GEORGE LEITE MAMEDE
Keyword(s):  
Supervised Classification ◽  
Spectral Response ◽  
Kappa Coefficient ◽  
High Spectral Resolution ◽  
Native Vegetation ◽  
Landsat 8 ◽  
Method Of Maximum Likelihood ◽  
Remotely Piloted Aircraft ◽  
Hyperion Image ◽  
Semi Arid

ABSTRACT The work evaluated the potential for discrimination of land use and occupation around reservoirs, using spectral information obtained by multispectral, hyperspectral satellites and images obtained with an ARP (remotely piloted aircraft). The research analyzed the performance of different images classification techniques applied to multispectral and hyperspectral sensors for the detection and differentiation of soil classes around the Paus Brancos and Marengo reservoirs, located in Settlement 25 of Maio. The classes identified based on surveys in campaigns carried out in 2014 and 2015 around the reservoirs were: water, macrophytes, exposed soil, native vegetation, agriculture, thin and ebbing vegetation, in addition to the cloud and cloud shadow targets. The performance of the classifiers applied to the image of the Hyperion sensor was, in general, superior to those obtained in Landsat 8 image, which can be explained by the high spectral resolution of the first, which facilitates the differentiation of targets with similar spectral response. For validation of the supervised classification method of Maximum Likelihood, Landsat 8 (08/24/2015) and Hyperion (08/28/2015) images were used. The results of the application indicated a good performance of the classifier associated with the RGB composition of the chosen Hyperion image (bands R - 51, G - 161, B - 19) in the detection of the classes around this reservoir, producing a Kappa coefficient of 0.83. The availability of data from the Hyperion sensor is very restricted, which hinders the development of continued research, thus the use of images surpassed by RPA is extremely viable.

PEMANFAATAN DATA PENGINDERAAN JAUH DAN TEKNOLOGI SIG UNTUK MENGIDENTIFIKASI BUILT UP AREA DAN KAITANNYA DENGAN RTRW DI KABUPATEN KENDAL

2019 ◽  
Vol 3 ◽  
pp. 521
Author(s):  
Mailendra Mailendra
Keyword(s):  
Supervised Classification ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Landsat 5 Tm

Integrasi data penginderaan jauh dengan sistem informasi geografis telah banyak dikembangkan, dan salah satunya dalam melihat perkembangan lahan terbangun. Tujuan penelitian ini adalah untuk melihat perkembangan lahan terbangun dan kesesuaiannya dengan Rencana Pola Ruang Kabupaten Kendal. Kemudian metode yang digunakan yaitu metode supervised classification dengan memanfaatkan data citra landsat 5 TM dan landsat 8 OLI yang selanjutnya dihitung luas dari masing lahan terbangun berdasarkan data temporal tahun 1990, tahun 2015 dan tahun 2017. Setelah diketahui luas lahan terbangun selanjutnya dioverlay dengan peta rencana pola ruang Kabupaten Kendal untuk melihat sesuai atau tidaknya penempatan lahan terbangun tersebut. Adapun hasil penelitiannya yaitu setiap tahunnya lahan terbangun terus meningkat di Kabupaten Kendal, terjadi peningkatan yang cukup signifikan dalam dua tahun terakhir yaitu tahun 2015 hingga tahun 2017. Selanjutnya diperkirakan 88 % lahan terbangun tersebut telah sesuai dengan RTRW karena sudah berada pada kawasan budidaya.

scholarly journals ANALISIS PERUBAHAN CADANGAN KARBON DI KAWASAN GUNUNG PADANG KOTA PADANG

JURNAL BUANA ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 94
Author(s):  
Rina Suksesi ◽  
Dedi Hermon ◽  
Endah Purwaningsih
Keyword(s):  
Land Cover ◽  
Supervised Classification ◽  
Sampling Method ◽  
Forest Cover ◽  
Sampling Technique ◽  
Residential Area ◽  
Carbon Stocks ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Quantitative Descriptive

This study aims to determine (1) changes in land cover in the Mount Padang Region in 1996, 2006 and 2016, (2) changes in carbon stocks as a result of changes in land cover in the Mount Padang Region of Padang City. The type of research is quantitative descriptive. Changes in land cover isanalyzed based on Landsat TM 5 of 1996 and 2006, as well as Landsat 8 OLI of 2016, using ENVI 4.5 and ArcGIS 10.1 and supervised classification method. Value of carbon stocks is obtained from the equation C = B ×% C (0.47), by predicting biomass on each type of carbon pool using allometric equations, which D2,62 ρ B = 0.11, B = exp {-2.134 + 2.530 × ln (D)}, B = 0.281 D2,06, and B = 0.030 D2,13, where D (diameter at breast height of trees, cm) and ρ (wood density). The sampling technique used is stratified random sampling method which refers to the technique of each plot on land cover classes which are then converted to thehectares area. The results of the analysis show that (1) the land cover in the Mount Padang Region of Padang City in 1996 has forest area of 744.23 Ha (92.6%), mixed garden area of 39.44 Ha (4.9%), shrubs of 17, 92 Ha (2.2%), and the settlement area of 2.35 Ha (0.3%). 2006 forest cover an area of 696.84 Ha (87%), mixed garden area of 18.84 Ha (2%), shrubs covering 37.55 Ha (5%), and residential area of 50.71 ha (6%). 2016 forest cover an area of 533.50 Ha (66%), mixed garden covering an area of 69.14 Ha (9%),shrubs covering 119.81 Ha (15%), and residential area of 81.49 Ha (10%). (2) the carbon stock in 1996 amounted to 495,800.03 tons, in 2006 a number of 458,165.73 tons, and in 2016 a number of 369,223.00 tons. Over the last 20 years, as a result of land cover changes in carbon stocks in Padang Mountain Region has been reduced as much as 126,577.03 tons.

scholarly journals Population density of Trichoderma fungi in natural environments and agrosystems of a Cerrado area

2020 ◽  
Vol 20 (4) ◽  
Author(s):  
João Batista Tavares da Silva ◽  
Eder Marques ◽  
José Eustáquio Menezes ◽  
Joseane Padilha da Silva ◽  
Sueli Corrêa Marques de Mello
Keyword(s):  
Population Density ◽  
Farming Systems ◽  
Federal District ◽  
Native Vegetation ◽  
Natural Environments ◽  
Growth Promoters ◽  
Natural Ecosystems ◽  
Serial Sample ◽  
Decomposition Of Organic Matter ◽  
Trichoderma Fungi

Abstract: Soil microorganisms present a great diversity, involving taxonomically distinct groups that play a role in the decomposition of organic matter, nutrient cycling, soil aggregation, among others. In this diversity, the fungi of the genus Trichoderma have been successful plant pathogen biocontrol agents, as plant growth promoters and as inducers of plant resistance to diseases. In addition, they are important in the sustainability of natural ecosystems. Aiming to verify the population density of Trichoderma fungi in natural environments and agroecosystems, in Cerrado area, samples of soils and roots from native vegetation and agroecological production system were collected in the Federal District, Brazil. The collection points were randomly selected, and each soil or root sample was individually wrapped. The soil adhered to the roots was removed for evaluations. Serial sample dilutions and number of Colony Forming Units (CFUs) of Trichoderma isolates were performed. The results showed that the number of CFU varied depending on the plant and location evaluated. The replacement of native vegetation by organic farming systems did not result in a significant reduction in this number.

scholarly journals VARIABILIDAD DE LA LÍNEA DE COSTA A PARTIR DE IMÁGENES DE SATÉLITE Y SU RELACIÓN CON LA TEXTURA DEL SEDIMENTO

2017 ◽  
Author(s):  
Carlos Cabezas-Rabadán ◽  
Jaime Almonacid-Caballer ◽  
Josep E. Pardo-Pascual ◽  
Jesús Soriano-González
Keyword(s):  
Landsat 8 ◽  
Natural Environments ◽  
Sediment Texture ◽  
Landsat 8 Oli ◽  
Key Factors ◽  
Coastal Monitoring ◽  
Beach Morphodynamics ◽  
One Year ◽  
Key Parameter

Beaches are natural environments of great interest for our society. They go through remarkable changes run by key factors that are interconnected according to the literature. A better understanding of these parameters, such as sediment texture and shoreline variability, would be of a great interest for coastal monitoring and planning. Shorelines of all Landsat 8 (OLI) images available over the course of one year have been obtained for determining the variability that has occurred in different Valencian beaches. Likewise, the relation between shoreline variability and sediment texture has been evaluated, showing that beaches with higher variability over the year have smaller sediment texture, which is also related with gentle slopes, and vice versa. The methodology allows obtaining the shoreline variability, a key parameter of beach morphodynamics, in a semiautomatic way. The variability allows developing a gross estimate of beach texture.http://dx.doi.org/10.4995/CIGeo2017.2017.6628

scholarly journals Influence of the use and the land cover of the catchment in the water quality of the semiarid tropical reservoirs

2018 ◽  
Vol 7 (7) ◽  
pp. 389
Author(s):  
Herika Cavalcante ◽  
Patrícia Silva Cruz ◽  
Leandro Gomes Viana ◽  
Daniely De Lucena Silva ◽  
José Etham De Lucena Barbosa
Keyword(s):  
Water Quality ◽  
Supervised Classification ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat 8 ◽  
Dissolved Phosphorus ◽  
Sparse Vegetation ◽  
Tropical Reservoirs

The aim of this study was to evaluate some parameters of water quality of semiarid reservoirs under different uses and occupation of the catchment’s soil. For this, the reservoirs Acauã and Boqueirão, belonging to the Paraíba do Norte river watershed and Middle and Upper course sub catchments, respectively, were studied. For this, water samples were collected in August, September and October 2016. From these samples, total and dissolved phosphorus, nitrate, nitrite, ammonia, chlorophyll, dissolved and suspended solids were analyzed. In addition, images of the Landsat 8 satellite were acquired for the calculation of the Normalized Difference Vegetation Index (NDVI), and for the supervised classification of the use and occupation of the sub catchments. Thus, it was observed that, in general, the Acauã reservoir presented values of phosphorus and nitrogen and solids larger than the Boqueirão reservoir, due to the greater urban area, even though it had a smaller total area of the basin. Both reservoirs presented low vegetation rates and high areas of sparse vegetation and exposed soil, increasing the propensity to soil erosion and the transport of nutrients from the basin to the reservoirs, making water quality worse or impossible.

scholarly journals Dynamique De L’occupation Du Sol Dans Les Zones Humides De La Commune D’allada Au Sud-Benin (Sites Ramsar 1017 Et 1018)

2018 ◽  
Vol 14 (12) ◽  
pp. 59
Author(s):  
L. Estelle Brun ◽  
Djego J. Gaudence ◽  
Moussa Gibigaye ◽  
Brice Tente
Keyword(s):  
Sustainable Management ◽  
Supervised Classification ◽  
Landsat 8 ◽  
Maximum Likelihood Algorithm ◽  
Landsat 8 Oli ◽  
Human Pressure ◽  
Integral Element ◽  
Benin Republic ◽  
Anthropic Pressure

The wetlands are the integral element of the natural resource of Benin Republic. However, anthropic pressure on those “fragil” environments, contribute to the reducing of their surface and accordingly, to a loss their biodiversity. The target objective is to make cartography of land units from 1990 to 2014 in order to identify the various pressures upon the wet ecosystems. A 2014 Landsat 8 OLI-TIRS image and a 1990 map of Benin land cover were used to establish the cartography. We used the Maximum likelihood algorithm to execute the supervised classification of the landsat image in ERDAS. The mapping of the land’s units in the wetlands was then carried out in ArcGIS. The results revealed that the tree savana have completely disappeared. It represents 11.47 % of the landscape in 1990 against 0 % in 2014. The mosaics of fields and fallows under palm plantations have reduced to -30.42 % in 2014. They represent 66.63 % of the landscape. The land units which progressed are the mosaic of fields and fallow (12.06 %), the swamps (10.47 %), the plantations (5.26 %) and the agglomerations (2.71 %). This shows strong human pressure exerted on the natural vegetation of the wetlands in the Allada district. These results will provide the local authorities with a tool for decision support, for an efficient use and a sustainable management of these natural wet ecosystems.

scholarly journals Análise da degradação da vegetação nativa em área de preservação permanente na Paraíba

2020 ◽  
Vol 13 (1) ◽  
pp. 121
Author(s):  
Viviane Farias Silva ◽  
Julia Soares Pereira ◽  
Ana Maria Ferreira Cosme ◽  
Dihego Sousa Pessoa ◽  
Wanessa Alves Martins ◽  
...  
Keyword(s):  
Environmental Education ◽  
Satellite Images ◽  
Forest Degradation ◽  
Native Vegetation ◽  
Landsat 8 ◽  
Visual Interpretation ◽  
Dense Vegetation ◽  
Spectral Changes ◽  
Negative Impacts ◽  
Landsat Satellite

A supressão da vegetação nativa para a expansão agropecuária ou para outro tipo de uso, tem agravado o processo de degradação florestal, ocasionando impactos negativos. Assim, este estudo teve como objetivo o mapeamento da vegetação da APP no Horto Florestal Olho D´água da Bica, do município de Cuité – PB, quantificando as áreas alteradas da vegetação densa, vegetação rala e o solo exposto, através das mudanças espectrais em quatro anos (2015 a 2018), visando obter maior conhecimento sobre a sua preservação. Foram utilizadas imagens de satélite Landsat 8 que possuíam menores coberturas de nuvens. A interpretação visual de imagens de satélite ocorre através da extração de padrões texturais nas bandas monocromáticas e nas composições coloridas. A partir, dos resultados observou-se que a vegetação densa sofreu uma significativa redução ao longo dos anos e que a vegetação rala e o solo exposto obtiveram um maior crescimento no período analisado.  Desta forma, conclui-se que a degradação da vegetação, ocorreu ao longo dos anos, sendo necessário uma intervenção e plano de recuperação da área.  A vegetação densa teve redução significativa, enquanto houve elevação da vegetação rala. Assim, torna necessário a aplicação de projetos de educação ambiental na comunidade para incentivar a conscientização e preservação desta APP.  Analysis of the degradation of native vegetation in a permanent preservation area in Paraíba A B S T R A C TThe removal of native vegetation to agricultural expansion or for other use, has aggravated the process of forest degradation, causing negative impacts. Thus, this study aimed to the mapping of the vegetation of the APP in the Horto Florestal Eye D ´ water da Bica, the municipality of Cuité-PB, quantifying the altered areas of dense vegetation, thin vegetation and soil exposed, through the spectral changes in four years (2015 to 2018), in order to gain greater knowledge of your preservation. Landsat satellite images were used 8 who had lower cloudiness. The visual interpretation of satellite imagery occurs through the extraction of textural patterns in monochrome and colored bands in the compositions. From the results, it was observed that the dense vegetation has suffered a significant reduction over the years and that the thin vegetation and exposed soil obtained a higher growth in the period analyzed. Thus, it is concluded that the degradation of vegetation, occurred over the years, requiring an intervention and recovery plan of the area. The dense vegetation had significant reduction, while there were thin vegetation elevation. So, makes necessary the implementation of environmental education projects in the community to encourage the awareness and preservation of this APP.Keywords: vegetation cover, permanent preservation area, environmental education. 

scholarly journals Remote Sensing and GIS based Land Use Land Cover Analysis in Chandel District, Manipur, India

2021 ◽  
Vol 889 (1) ◽  
pp. 012046
Author(s):  
Ashangbam Inaoba Singh ◽  
Kanwarpreet Singh
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Supervised Classification ◽  
Geographical Area ◽  
Temporal Trends ◽  
Water Bodies ◽  
Landsat 8 ◽  
Rapid Urbanization ◽  
Barren Area ◽  
Landsat 7

Abstract Rapid urbanization has dramatically altered land use and land cover (LULC). The focus of this research is on the examination of the last two decades. The research was conducted in the Chandel district of Manipur, India. The LULC of Chandel (encompassing a 3313 km2 geographical area) was mapped using remotely sensed images from LANDSAT4-5, LANDSAT 7 ETM+, and LANDSAT 8 (OLI) to focus on spatial and temporal trends between years 2000 and 2021. The LULC maps with six major classifications viz., Thickly Vegetated Area (TVA), Sparsely Vegetated Area (SVA), Agriculture Area (AA), Population Area (PA), Water Bodies (WB), and Barren Area (BA) of the were generated using supervised classification approach. For the image classification procedure, interactive supervised classification is adopted to calculate the area percentage. The results interpreted that the TVA covers approximately 65% of the total mapped area in year 2002, which has been decreased up to 60% in 2007, 56% in 2011, 55 % in 2017, and 52% in 2021. The populated area also increases significantly in these two decades. The change and increase in the PA has been observed from year 2000 (8%) to 2021 (11%). Water Bodies remain same throughout the study period. Deforestation occurs as a result of the rapid rise of the population and the extension of the territory.

scholarly journals Terrestrial surface temperature through orbital data of the TIRS/Landsat-8 sensor: A case study of the neighborhood Cidade Operária and surroundings

2020 ◽  
Vol 42 ◽  
pp. e6
Author(s):  
Isabela Cristina de Souza Penha ◽  
Ítalo Belo Pereira ◽  
Fabrício Sousa da Silva
Keyword(s):  
Remote Sensing ◽  
Cloud Cover ◽  
Supervised Classification ◽  
Urban Climate ◽  
Landsat 8 ◽  
Infrared Sensor ◽  
Thin Cloud ◽  
Local Use ◽  
Orbital Data

The study of urban climate is an area of knowledge inherent to climatology that benefits from remote sensing, since it is possible to map the thermal behavior of the terrestrial surface through the thermal bands. This study aimed to identify and analyze the behavior of the Superficial Superficial Terrestrial (TST), in the neighborhood of the Operational City and in the surroundings. To obtain the proposals, the following materials and procedures were required: Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) scenes from 07/2018, related to the infrared, red, green and thermal bands; Field recognition with photographic record; Extraction of thermal values and Supervised classification. Through field incursion, reduce the presence of two representative classes of local use and coverage: Vegetation and Urban Area. The maximum and minimum TST values were 19.7 ° c and 27.5 ° c, so in the southeastern neighborhood of the Working City, check to see if there is an extension of the area with higher values, including if you understand the neighbors Janaína and Jardim América. The lowest TST values are related to vegetation cover or thin cloud cover when in densely populated areas, while the highest values are directly related to urban density.

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