scholarly journals VARIAÇÃO DAS TEMPERATURAS E DA UMIDADE RELATIVA DO AR NO EXTREMO INVERNO E VERÃO NA CIDADE DE BARRA DO GARÇAS-MT

2020 ◽  
Vol 26 ◽  
Author(s):  
Francisco Sousa Lira ◽  
Rildo Vieira Araujo ◽  
Leonardo José De Melo ◽  
Reginaldo Brito Costa ◽  
Romario Rosa De Sousa
Keyword(s):  
Landsat 8 ◽  
Erdas Imagine

Este trabalho teve como objetivo conhecer as variações de temperaturas e umidade relativa do ar no extremo inverno e verão na cidade de Barra do Garças-MT. Quanto a metodologia utilizada, pautou-se na aquisição dos dados diários coletados a cada 30 minutos a partir de 9 termohigrômetros digitais. Foram utilizados dados diários proveniente do Banco de Dados Meteorológicos para Ensino e Pesquisa BDMEP/INMET, referentes as estações meteorológicas de Aragarças-GO, Nova Xavantina-MT, Poxoréo-MT e Jataí-GO. As imagens orbitais digitais gratuitas do município de Barra do Garças-MT, foram obtidas do satélite Landsat-8 no Serviço de Levantamento Geológico Americano (USGS), sensor OLI (Operational Land Imager) orbita 224, ponto 71, com data de passagem 13/07/2017 e 21/01/2108 e horário central 10:30 horas, banda: 10 com resolução espacial de 30 metros e banda 10 infravermelho termal. A composição colorida e as aplicações das modelagens foram realizadas no software ERDAS Imagine versão 2013. As temperaturas no mês de julho de 2017, se destacou com valores mais elevados, e a umidade relativa do ar baixa com 52%, apresentando uma insolação total de 260,1w/m², precipitação 0,0mm, e a velocidade do vento em 0,486471m/s. Já para o mês de janeiro de 2018, este apresentou valores menores de temperaturas e alta umidade relativa do ar com 81%, e insolação com uma medida de 163,9w/m², e precipitação acumulada em 255,4mm, e a velocidade do vento em 0,497845 m/s. Constatou-se uma variação de temperaturas e da umidade relativa do ar e um diagnóstico da dinâmica climática urbana.

scholarly journals Remote Sensing Application for Exploring Land Use and Land Cover Dynamics in and Around Chatra Wetland, English Bazar, West Bengal

2021 ◽  
Vol 9 (1) ◽  
pp. 15-27
Author(s):  
Saleha Jamal ◽  
Md Ashif Ali
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Land Use Changes ◽  
United States Geological Survey ◽  
Landsat 8 ◽  
Gis And Remote Sensing ◽  
Erdas Imagine ◽  
Landsat 7 ◽  
Vegetation Water

Wetlands are often called as biological “supermarket” and “kidneys of the landscape” due to their multiple functions, including water purification, water storage, processing of carbon and other nutrients, stabilization of shorelines and support of aquatic lives. Unfortunately, although being dynamic and productive ecosystem, these wetlands have been affected by human induced land use changes. India is losing wetlands at the rate of 2 to 3 per cent each year due to over-population, direct deforestation, urban encroachment, over fishing, irrigation and agriculture etc (Prasher, 2018). The present study tries to investigate the nature and degree of land use/land cover transformation, their causes and resultant effects on Chatra Wetland. To fulfil the purpose of the study, GIS and remote sensing techniques have been employed. Satellite imageries have been used from United States Geological Survey (USGS) Landsat 7 Enhanced Thematic Mapper plus and Landsat 8 Operational Land Imager for the year 2003 and 2018. Cloud free imageries of 2003 and 2018 have been downloaded from USGS (https://glovis.usgs.gov/) for the month of March and April respectively. Image processing, supervised classificationhas been done in ArcGis 10.5 and ERDAS IMAGINE 14. The study reveals that the settlement hasincreased by about 90.43 per cent in the last 15 years around the Chatra wetland within the bufferzone of 2 Sq km. Similarly agriculture, vegetation, water body, swamp and wasteland witnessed asignificant decrease by 5.94 per cent, 57.69 per cent, 26.64 per cent 4.52 per cent and 55.27 per centrespectively from 2003 to 2018.

scholarly journals MODELING OF PARAMETERS FOR FOREST FIRE RISK ZONE MAPPING

2018 ◽  
Vol XLII-5 ◽  
pp. 299-304 ◽  
Author(s):  
K. Pandey ◽  
S. K. Ghosh
Keyword(s):  
Forest Fire ◽  
Risk Model ◽  
Fire Risk ◽  
Landsat 8 ◽  
Biophysical Parameters ◽  
Risk Zone ◽  
Subjective Weight ◽  
Other Information ◽  
Erdas Imagine ◽  
Forest Fire Risk

<p><strong>Abstract.</strong> Forest fire has been regarded as one of the major reasons for the loss of biodiversity and dreadful conditions of environment. Global warming is also increasing the incidence of forest fire at an alarming rate. That’s why, one need to understand the complex biophysical parameters, which are responsible for this disaster. As it is difficult to predict forest fire, fire risk zone map can be useful for combating the forest fire. So the main aim of this study is to generate a Fire risk model to map fire risk zone using Remote Sensing &amp; GIS technique. Pauri Garhwal District, located in Uttarakhand, India, has been selected for this study as it continually faces the problem of forest fire. Landsat-8 data of 18th April, 2016 have been used for land use land cover mapping. Slope and other information have been derived from topographic maps and field information. For thematic and topographic information analysis ArcGIS and ERDAS Imagine software have been used. Forest fire risk model was generated by using AHP method, where each category was assigned subjective weight according to their sensitivity to fire. Three categories of forest fire risk ranging from very high to low were derived. The generated forest fire risk model was found to be in strong agreement with actual fire-affected sites.</p>

scholarly journals Satellite-Based Assessment of Land Use and Land Cover (LULC) Changes around Lake Fitri, Republic of Chad

2018 ◽  
Vol 11 (5) ◽  
pp. 71
Author(s):  
Kim-Ndor Djimadoumngar ◽  
Jimmy Adegoke
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Water Volume ◽  
Landsat 8 ◽  
Land Use Land Cover ◽  
Alternative Source ◽  
Lake Chad ◽  
Erdas Imagine ◽  
The Republic ◽  
Total Study Area

Lake Fitri, located northeast of the Republic of Chad&rsquo;s Capital, N&rsquo;Djamena, and southeast of Lake Chad, is especially important because it serves as an alternative source to Lake Chad in supporting the livelihood of pastoralists and subsidence farmers displaced from the Lake Chad region. It therefore serves to relieve population pressures on Lake Chad, which has undergone drastic reduction in total water volume in the last few decades. The area has also been the epicenter of recent violent campaigns and devastating insurgency mounted by the so-called Boko Haram. This study investigated the land use land cover around Lake Fitri from 1986 to 2003, and from 2003 to 2013 using Landsat 5 (TM), Landsat 7 (ETM+), and Landsat 8 (OLI_TIRS). The satellite imageries were retrieved from the Global Visualization (GloVis) web-based platform and analyzed using ERDAS Imagine 2014. Supervised classification of areas around the lake was performed into five land use land cover classes. The results revealed significant changes in three land use types, namely Farmland and Grassland combined, Forest, Savanna, and Steppe combined, and Wetland. Farmland and Grassland combined increased from a mere 0.38% of the total study area in 1986 to 41.05% in 2013. At the same time, Forest, Savanna, and Steppe combined decreased from about 23% in 1986 to about 7.40% in 2013. This increase in farmlands and grasslands coverage and the concomitant decrease in trees and shrubs can be explained by the persistent pressures on land from increasing population and livestock in the area. The findings also show a major decline in Wetland, which decreased from about 14% of the total study area to 3% in the same time period. This loss in wetland coverage is regrettable because of the important environmental and ecological functions of wetlands.

scholarly journals Habitat Suitability Index Modelling for Bluebull (Boselaphus tragocamelus) in Pench Tiger Reserve, M.P. India

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Abdul Haleem ◽  
Orus Ilyas
Keyword(s):  
Wildlife Conservation ◽  
Indian Subcontinent ◽  
Satellite Image ◽  
Damage Model ◽  
Additive Model ◽  
Crop Damage ◽  
Landsat 8 ◽  
Farming Community ◽  
Tiger Reserve ◽  
Erdas Imagine

The habitats for the wild animals are shrinking due to the clearance of forests for agriculture and industrialization. The idea of wildlife conservation begins with the identification of their acceptable habitat. Since this crucial information helps in the development and maintenance of the protected areas. The requirement of habitat varies with different landscapes.The bluebull (Boselaphus tragocamelus) is Asia’s largest antelope,widespread throughout the northern Indian subcontinent. Peter Simon Pallasin (1766) described it as the only member of the genus Boselaphus.The Wildlife (Protection) Act of 1972 lists it as a Schedule III animal, while the IUCN lists it as Least Concern (LC). Our goal was to design a habitat appropriateness model for blue bull so that it could reduce the conflict with farming community due to crop damage. Model will be develop using RS & GIS technique to protect the species inside the Pench Tiger Reserve (77° 55’ W to 79° 35’ E and 21° 08’ S to 22° 00’ N) the central highlands of India. The satellite data from LANDSAT-8 of 4th April 2015, Path- 144,Row- 45, with a ground resolution of 30 meters, were collected from the USGS website. This satellite image was then transferred in image format to ERDAS IMAGINE 2013 for further analysis. The data from satellites were gathered and analysed. The purpose of the field survey was to gather information about the presence of various ungulates. A ground truthing exercise was also carried out. For data processing and GIS analysis,ERDAS IMAGINE 13 and Arc GIS 10 were used. Analytical Hierarchy Process (AHP) was used Factors were identified who were influencing the spatial distribution of the species for conservation planning. The linear additive model was used for HSI. The results show that 242 km2 (29.48 percent) of Pench Tiger Reserve forest was recognized to be highly suitable for bluebull, while 196 km2 (23.87 percent) was moderately suitable,231 km2 (28.14 percent) was suitable, 109 km2 (13.28 percent) was least suitable, and about 43 km2 (5.249 percent) of PTR was completely avoided by bluebull.

scholarly journals Dinâmica de Queimadas no Município de Cuiabá-MT por Sensoriamento Remoto

2021 ◽  
Vol 14 (2) ◽  
pp. 607
Author(s):  
Noelto da Cruz Teixeira Da Cruz Teixeira ◽  
Victor Hugo de Morais Danelichen Hugo de Morais Danelichen
Keyword(s):  
Remote Sensing ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Temporal Dynamics ◽  
Kernel Estimator ◽  
High Rate ◽  
Landsat 8 ◽  
Biological Potential ◽  
Erdas Imagine ◽  
Normalized Burn Ratio

O bioma Cerrado é uma das mais ricas fitofisionomias existentes no Planeta com destaque no elevado índice de ocupação humana direcionada à produção agropecuária. Apesar de seu potencial biológico enfrenta ameaças constantes de queimadas devido à conversão da vegetação em parcelas destinada a agricultura e pastagens. Neste contexto o objetivo deste trabalho é estudar a dinâmica espacial e temporal das queimadas no município de Cuiabá-MT, relacionando com as variáveis microclimáticas, classes de vegetação e declividades do terreno com o uso de recursos, de sensoriamento remoto. Foram utilizados os índices espectrais, NBR, NBR2 e NDVI extraídos das imagens Landsat 8 e focos de calor fornecido pelo Banco de Dados de Queimadas do INPE (Instituto Nacional de Pesquisas Espaciais) no período de 2013 a 2017. Os índices espectrais foram extraídos de 25 imagens referente a órbita 226 e ponto 071, utilizando o programa Erdas Imagine e os mapas de fogo através do estimador de Kernel presente no ArcGis 10.3 a fim de avaliar a distribuição e o padrão das queimadas na área proposta. Os resultados avaliados a partir do conjunto dos índices espectrais e dos mapas de estimativa de Kernel mostraram que o município de Cuiabá apresentou um padrão sazonal de queimadas, evidenciando maiores volumes de queimadas nas formações savânicas e nos terrenos de declividades da classe suave-ondulado em todo o período estudado.Palavras-chave: OLI, precipitação, padrão espacial. Dynamics of Fires in the Municipality of Cuiabá-MT by Remote Sensing A B S T R A C T The Brazilian Cerrado biome has several phytophysiognomies and a high rate of human occupation, with emphasis on agricultural production. Despite its biological potential, it faces constant threats of burning due to the conversion of vegetation into plots for agriculture and pasture. In this context, the objective of this work was to identify and relate the spatial and temporal dynamics of the fires in the municipality of Cuiabá-MT, with the microclimate variables, classes of vegetation and slopes of the land through the use of remote sensing resources. The spectral indexes NBR (Normalized Burn Ratio, NBR2 (Variation of Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) extracted from Landsat 8 images and heat sources provided by the INPE (Instituto Nacional de Space Research) from 2013 to 2017. The spectral indexes were extracted from 25 images referring to orbit 226 and point 071, using the Erdas Imagine program, and the fire maps of the Kernel estimator present in ArcGis 10.3 in order to evaluate the distribution and the pattern of fires in the proposed area. There was a 50.68% coincidence of the total number of hot spots on the reference burned areas, with a higher percentage of 72.12% in 2017 and lower in 2014 of 12.95%. These results made it possible to elaborate maps with a characteristic burning pattern and to highlight the classes most affected by fire throughout the studied period. Keywords: OLI, fire, spatial pattern.

scholarly journals Coastal Coral Reef in Arabian Gulf between Ras Al Khafji and Ras Tannurah Biogeography and Marine Environment Protection Study

2018 ◽  
Vol 28 (2) ◽  
pp. 43-65
Author(s):  
Hanadi Khalifah Al-Argoubi Hanadi Khalifah Al-Argoubi
Keyword(s):  
Coral Reef ◽  
Coral Reefs ◽  
Coral Species ◽  
Environmental Changes ◽  
Oil Pollution ◽  
Arabian Gulf ◽  
Current Status ◽  
Landsat 8 ◽  
Environmental Pressures ◽  
Erdas Imagine

This research concerned the coastal reefs in the Arabian Gulf between Ras Al Khafji and Ras Tannurah, to identify the current status of the coral colonies, their geographic distribution, their most important forms and the impacts that affected them. The research is based on the descriptive approach by studying the environment of the coral reefs in the Arabian Gulf, knowledge of the coral species, and it was also based on the spatial analytical approach when studying the geographical distribution of coral reefs by analysis of the images of Landsat 8 OLI using ArcGIS 10.2.2 and Erdas Imagine 2014. Different processing techniques were carried out over the six images, such as: rectification, masking, water column correction, classification, and coral areas survey. The statistics of coral reef obtained from supervised classifications of 2016 in the study area was 78.3 km², which are scattered spots close to the coast except the area between Ras Al Khair to Abu Ali Island, which it is one of the richest areas in coral reefs. The most important coral species that resisted the environmental changes are Favia spp. and Porites compressa. It was also found that oil pollution and the climate change are the most important environmental pressures that have affected the species composition and reduced the area of coral reefs.

scholarly journals Cartografía del uso del suelo en la subcuenca Huaquechula, Puebla, México, con un índice combinado de imágenes de satélite

2020 ◽  
Author(s):  
Julio Cesar Flores Cesareo ◽  
Angel Bustamante González ◽  
Samuel Vargas López ◽  
Lenom Cajuste Bontemps ◽  
Francisco J. Escobedo ◽  
...  
Keyword(s):  
Assessment Tool ◽  
Google Earth ◽  
Landsat 8 ◽  
Erdas Imagine ◽  
Sistemas De Informacion ◽  
Water Assessment ◽  
Soil And Water

  La generación de mapas actualizados de uso del suelo en regiones de agricultura de regadío es importante tanto para el monitoreo productivo como para la aplicación de modelos hidrológicos o de otro tipo. Por requerimientos de costo y tiempo, las herramientas de percepción remota y Sistemas de Información Geográfica son de gran ayuda para tal fin. En este estudio se delimitaron los usos del suelo, con énfasis especial en las tierras de agricultura de riego, utilizando imágenes Landsat 8 de tres periodos con condiciones de lluvias diferentes durante 2017; para cada imagen se obtuvo el Índice de Vegetación de Diferencia Normalizada (NDVI, por sus siglas en inglés). Los NDVI se combinaron para formar una imagen Red-Green-Blue- NDVI (RGB-NDVI). Con el programa ERDAS Imagine 2014 se obtuvieron las firmas espectrales para los usos del suelo y vegetación identificadas con el programa Google Earth. Se ubicaron puntos al azar para verificar si el uso del suelo del mapa obtenido corresponde con el uso verdadero. Además, se comparó el mapa obtenido a partir de imágenes de satélite con el mapa de Uso del Suelo y Vegetación, Serie VI, considerado el mapa oficial más actualizado en México. Los mapas se evaluaron utilizando matrices de confusión e índices de confiabilidad. El mapa generado con imágenes Landsat 8 tuvo mayor confiabilidad que el de Uso del Suelo y Vegetación, Serie VI. El mapa obtenido es útil para dar seguimiento a los cambios de uso del suelo y es insumo para modelos hidrológicos, como el Soil and Water Assessment Tool (SWAT), con el fin de estimar los efectos de prácticas agrícolas sobre las corrientes superficiales. 

scholarly journals MONITORING NATURAL ENVIRONMENTAL INFRINGEMENTS BY TECHNOGENOUS PROCESSES DECLINING COSMOSES

2019 ◽  
Vol 4 (2) ◽  
pp. 64-72
Author(s):  
Aida Kalieva ◽  
Arslanbek Bayshuakov ◽  
Alyona Ermienko
Keyword(s):  
Spectral Analysis ◽  
Software Package ◽  
Satellite Image ◽  
Landsat 8 ◽  
Environmental Disturbances ◽  
Mining Sites ◽  
Industrial Enterprises ◽  
Erdas Imagine ◽  
Spectral Analysis Method

The tasks are given for the interpretation of environmental disturbances by technogenic processes: the selection on a satellite image of areas of natural complexes transformed by various types of economic activity; identification and characterization of sources of anthropogenic environmental impact; construction of the on-board version of the map illustrating the conclusions obtained during the interpretation of the satellite image. To perform the interpretation, images of Landsat 8 satellite images were used in two versions: in natural and false colors. Using the processes of automated decoding, in the ERDAS IMAGINE software package, images with different colors were obtained, allowing to divide objects into classes. The method "Spectral analysis" divided objects into 5 classes. According to the results of the interpretive work in MapInfo Professional, two raster images were superimposed on each other, one of which is a picture in natural colors, the other is an image obtained by the Spectral Analysis method. The imposition of raster images as a substrate allowed us to determine the boundaries of the areas that were subjected to industrial and man-made processes. As a result, a scheme was created illustrating the positions of sites subjected to industrial and man-made processes. Created in the MapInfo Professional software package, the scheme contains mining sites for coal and limestone, as well as industrial enterprises, indicated by numbers in the scheme. As a result, a scheme of environmental disturbances by industrial and man-made processes was obtained.

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