scholarly journals Estudo da dinâmica espaço-temporal do NDVI no Município de Sorriso-MT

2020 ◽  
Vol 13 (2) ◽  
pp. 834
Author(s):  
Juliana Soares ◽  
Victor Hugo De Morais Danelichen ◽  
Osvaldo Alves Pereira ◽  
André Luiz Martins
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Temporal Dynamics ◽  
Agricultural Expansion ◽  
Native Forest ◽  
Mato Grosso ◽  
Python Language ◽  
Vegetation Indexes ◽  
Region Temperature ◽  
Landsat 5 Tm

A cidade de Sorriso-MT é considerada a capital do agronegócio no Brasil e maior produtora individual de soja do mundo. A expansão agrícola no Município de Sorriso no Estado de Mato Grosso se deu nos anos 70 com o favorecimento do governo federal estimulando a chegada de famílias provenientes do Sul do País. Diante disso, o objetivo desse trabalho foi avaliar a dinâmica espaço-temporal do NDVI no Município por meio de sensoriamento remoto. Utilizou-se imagens do satélite Landsat-5 (TM), entre os anos de 1984 e 2011. O processamento dessas imagens foi realizado por meio do programa ArcGIS 10.3 e linguagem Python. A estimativa da expansão das áreas de cultivo e quantidade de áreas de mata nativa do Município foi calculado através do índice de vegetação da diferença normalizada - NDVI. Nossos resultados sugerem que as possíveis mudanças ocorridas no solo do Município podem estar afetando as variáveis climatológicas como a temperatura da região. O estudou demonstrou também que a expansão agrícola se intensificou após a emancipação do Município, com grande crescimento das áreas de cultivo e urbanização, tendo como consequência a diminuição das áreas de mata nativa.Palavra-chave: Processamento de imagens, Satélites, Índices de vegetação. Study of NDVI spatiotemporal dynamics in the city of Sorriso-MT A B S T R A C TThe Sorriso-MT city is considered the agribusiness capital in Brazil and the largest single soy producer in the world. The agricultural expansion of Sorriso in the state of Mato Grosso occurred in the 70's with the favor of the federal government encouraging the arrival of families from the south of the country. Therefore, the objective of this work was to evaluate the spatial-temporal dynamics of NDVI in the Municipality through remote sensing. Landsat-5 (TM) satellite images were used between 1984 and 2011. These images were processed using the ArcGIS 10.3 program and Python language. The estimate the expansion of the cultivated areas and the amount of native forest areas of the Municipality was calculated through the normalized difference vegetation index - NDVI. Our results suggest that possible changes in the soil of the municipality may be affecting climatic variables such as the region temperature. The study also showed that the agricultural expansion intensified after the emancipation of the Municipality, with great growth of cultivation and urbanization areas, resulting in the reduction of native forest areas.Keywords: Image processing, Satellites, Vegetation indexes

scholarly journals Climatic and Anthropic Influence on the Geodiversity of the Maranhão Amazon Floodplain

2019 ◽  
Vol 11 (18) ◽  
pp. 105 ◽  
Author(s):  
V. A. R. Silva ◽  
L. B. Portela ◽  
J. L. Almeida ◽  
C. H. L. Silva Junior ◽  
J. S. dos Santos ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Temporal Dynamics ◽  
Ecological Status ◽  
Anthropogenic Pressure ◽  
Deforestation Rate ◽  
Amazon Floodplain ◽  
Vegetation Indexes ◽  
Wetland Biodiversity ◽  
Anthropic Influence

The Maranhense Amazon floodplain shelters a Ramsar site established by the United Nations for the protection of wetland biodiversity. Despite its protected ecological status, the impacts from deforestation, burning, the agricultural and livestock industries, are on the rise. Knowledge of the spatial distribution and temporal dynamics of these impacts are important to improve the understanding of how this region is affected. Data on increasing deforestation and hot pixels were used to evaluate the anthropogenic pressure under the geodiversity of the region, relating them to the environmental variables (rainfall, Normalized Difference Vegetation Index and Deforestation annual deforestation rate) measured through the rainfall data and the Normalized Difference Vegetation Index (NDVI). In this study, the potential of remote sensing and geographic information system. The time series were used from 2001 to 2016 for all variables. We observed a strong negative and significant correlation between hot pixels and NDVI, while hot pixels increase, the vegetation indexes tend to decrease. In 2006 an abrupt fall in the NDVI occurred due to the marked increase in the deforested area. In 2010, the NDVI reached its highest levels, because the vegetation responded to the highest rainfall observed in the period in 2009. Unit 4 presented the highest pixels number in the period evaluated (2,978 pixels; 55% of the total). There is a significant correlation between NDVI and rainfall.

scholarly journals Outlier Detection at the Parcel-Level in Wheat and Rapeseed Crops Using Multispectral and SAR Time Series

2021 ◽  
Vol 13 (5) ◽  
pp. 956
Author(s):  
Florian Mouret ◽  
Mohanad Albughdadi ◽  
Sylvie Duthoit ◽  
Denis Kouamé ◽  
Guillaume Rieu ◽  
...  
Keyword(s):  
Outlier Detection ◽  
Experimental Validation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Multispectral Images ◽  
Vegetation Indexes ◽  
Crop Development ◽  
Different Types ◽  
Selection Of ◽  
Sentinel 2

This paper studies the detection of anomalous crop development at the parcel-level based on an unsupervised outlier detection technique. The experimental validation is conducted on rapeseed and wheat parcels located in Beauce (France). The proposed methodology consists of four sequential steps: (1) preprocessing of synthetic aperture radar (SAR) and multispectral images acquired using Sentinel-1 and Sentinel-2 satellites, (2) extraction of SAR and multispectral pixel-level features, (3) computation of parcel-level features using zonal statistics and (4) outlier detection. The different types of anomalies that can affect the studied crops are analyzed and described. The different factors that can influence the outlier detection results are investigated with a particular attention devoted to the synergy between Sentinel-1 and Sentinel-2 data. Overall, the best performance is obtained when using jointly a selection of Sentinel-1 and Sentinel-2 features with the isolation forest algorithm. The selected features are co-polarized (VV) and cross-polarized (VH) backscattering coefficients for Sentinel-1 and five Vegetation Indexes for Sentinel-2 (among us, the Normalized Difference Vegetation Index and two variants of the Normalized Difference Water). When using these features with an outlier ratio of 10%, the percentage of detected true positives (i.e., crop anomalies) is equal to 94.1% for rapeseed parcels and 95.5% for wheat parcels.

scholarly journals Estimating the Biomass of Waterhyacinth (Eichhornia crassipes) Using the Normalized Difference Vegetation Index Derived from Simulated Landsat 5 TM

2015 ◽  
Vol 8 (2) ◽  
pp. 203-211 ◽  
Author(s):  
Wilfredo Robles ◽  
John D. Madsen ◽  
Ryan M. Wersal
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Simulated Data ◽  
Water Bodies ◽  
Biomass Estimation ◽  
Aquatic Weed ◽  
Target Area ◽  
Data Set ◽  
Area Index ◽  
Landsat 5 Tm

Waterhyacinth is a free-floating aquatic weed that is considered a nuisance worldwide. Excessive growth of waterhyacinth limits recreational use of water bodies as well as interferes with many ecological processes. Accurate estimates of biomass are useful to assess the effectiveness of control methods to manage this aquatic weed. While large water bodies require significant labor inputs with respect to ground-truth surveys, available technology like remote sensing could be capable of providing temporal and spatial information from a target area at a much reduced cost. Studies were conducted at Lakes Columbus and Aberdeen (Mississippi) during the growing seasons of 2005 and 2006 over established populations of waterhyacinth. The objective was to estimate biomass based on nondestructive methods using the normalized difference vegetation index (NDVI) derived from Landsat 5 TM simulated data. Biomass was collected monthly using a 0.10m2 quadrat at 25 randomly-located locations at each site. Morphometric plant parameters were also collected to enhance the use of NDVI for biomass estimation. Reflectance measurements using a hyperspectral sensor were taken every month at each site during biomass collection. These spectral signatures were then transformed into a Landsat 5 TM simulated data set using MatLab® software. A positive linear relationship (r2 = 0.28) was found between measured biomass of waterhyacinth and NDVI values from the simulated dataset. While this relationship appears weak, the addition of morphological parameters such as leaf area index (LAI) and leaf length enhanced the relationship yielding an r2 = 0.66. Empirically, NDVI saturates at high LAI, which may limit its use to estimate the biomass in very dense vegetation. Further studies using NDVI calculated from narrower spectral bands than those contained in Landsat 5 TM are recommended.

scholarly journals Surveillance along the Rio Grande during the 2020 Vesicular Stomatitis Outbreak Reveals Spatio-Temporal Dynamics of and Viral RNA Detection in Black Flies

Pathogens ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1264
Author(s):  
Katherine I. Young ◽  
Federico Valdez ◽  
Christina Vaquera ◽  
Carlos Campos ◽  
Lawrence Zhou ◽  
...  
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Temporal Dynamics ◽  
Rio Grande ◽  
Maximum Temperature ◽  
Black Flies ◽  
Southern Mexico ◽  
Black Fly ◽  
The Usa ◽  
Vesicular Stomatitis

Vesicular stomatitis virus (VSV) emerges periodically from its focus of endemic transmission in southern Mexico to cause epizootics in livestock in the US. The ecology of VSV involves a diverse, but largely undefined, repertoire of potential reservoir hosts and invertebrate vectors. As part of a larger program to decipher VSV transmission, we conducted a study of the spatiotemporal dynamics of Simulium black flies, a known vector of VSV, along the Rio Grande in southern New Mexico, USA from March to December 2020. Serendipitously, the index case of VSV-Indiana (VSIV) in the USA in 2020 occurred at a central point of our study. Black flies appeared soon after the release of the Rio Grande’s water from an upstream dam in March 2020. Two-month and one-year lagged precipitation, maximum temperature, and vegetation greenness, measured as Normalized Difference Vegetation Index (NDVI), were associated with increased black fly abundance. We detected VSIV RNA in 11 pools comprising five black fly species using rRT-PCR; five pools yielded a VSIV sequence. To our knowledge, this is the first detection of VSV in the western US from vectors that were not collected on premises with infected domestic animals.

scholarly journals Heat Islands in the city of San Francisco de Campeche: Detection and solution

2020 ◽  
pp. 16-20
Author(s):  
Román Alejandro Canul-Turriza ◽  
Francisco Javier Barrera-Lao ◽  
Gabriela Patricia Aldana Narváez
Keyword(s):  
Soil Temperature ◽  
San Francisco ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Heat Islands ◽  
Mathematical Algorithm ◽  
Green Areas ◽  
Landsat 5 Tm ◽  
The City

This paper presents the identification of heat islands in the city of San Francisco de Campeche, period 1990 - 2020 and their relationship with changes in the vegetation cover areas. To identify the heat islands in the city, 6 Landsat 5 (TM), 7 (TM) and 8 (OIL) images were obtained from the USGS database (http://earthexplorer.usgs.gov/). In geographic information software, soil temperature was calculated from a mathematical algorithm applied to thermal infrared bands 6 and 10, in addition, the Normalized Difference Vegetation Index (NDVI) was calculated, in order to find a relationship between changes in temperature and vegetation cover. It was found that the green areas have reduced their surface by more than 50% and the soil temperature has increased up to 7 ° C

scholarly journals Hydrological Condition Constrains Vegetation Dynamics for Wintering Waterfowl in China’s East Dongting Lake Wetland

2019 ◽  
Vol 11 (18) ◽  
pp. 4936 ◽  
Author(s):  
Min Wang ◽  
Qing Gu ◽  
Guihua Liu ◽  
Jingwei Shen ◽  
Xuguang Tang
Keyword(s):  
Vegetation Dynamics ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Temporal Dynamics ◽  
Global Climate ◽  
Dongting Lake ◽  
Plant Resources ◽  
Data Set ◽  
Wintering Waterfowl ◽  
The Government

As an internationally important wintering region for waterfowls on the East Asian–Australasian Flyway, the national reserve of China’s East Dongting Lake wetland is abundant in animal and plant resources during winter. The hydrological regimes, as well as vegetation dynamics, in the wetland have experienced substantial changes due to global climate change and anthropogenic disturbances, such as the construction of hydroelectric dams. However, few studies have investigated how the wetland vegetation has changed over time, particularly during the wintering season, and how this has directly affected habitat suitability for migratory waterfowl. Thus, it is necessary to monitor the spatio-temporal dynamics of vegetation in the protected wetland and explore the potential factors that alter it. In this study, the data set of time-series Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) from 2000 to 2018 was used to analyze the seasonal dynamics and interannual trends of vegetation over the wintering period from October to January. The results showed that the average NDVI exhibited an overall increasing trend, with the trend rising slowly in recent years. The largest monthly mean NDVI generally occurred in November, which is pertinent to the quantity of wintering waterfowl in the East Dongting Lake wetland. Meanwhile, the mean NDVI in the wintering season is significantly correlated to temperature and water area, with apparent lagging effects. Long-term stability analysis presented a gradually decreasing pattern from the central body of water to the surrounding area. All analyses will help the government to make appropriate management strategies to protect the habitat of wintering waterfowl in the wetland.

scholarly journals Assessing the Use of Sentinel-2 Time Series Data for Monitoring Cork Oak Decline in Portugal

2019 ◽  
Vol 11 (21) ◽  
pp. 2515 ◽  
Author(s):  
Ana Navarro ◽  
Joao Catalao ◽  
Joao Calvao
Keyword(s):  
Time Series ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Time Series Data ◽  
Temporal Dynamics ◽  
Cork Oak ◽  
Series Data ◽  
Tree Level ◽  
Oak Decline ◽  
Sentinel 2

In Portugal, cork oak (Quercus suber L.) stands cover 737 Mha, being the most predominant species of the montado agroforestry system, contributing to the economic, social and environmental development of the country. Cork oak decline is a known problem since the late years of the 19th century that has recently worsened. The causes of oak decline seem to be a result of slow and cumulative processes, although the role of each environmental factor is not yet established. The availability of Sentinel-2 high spatial and temporal resolution dense time series enables monitoring of gradual processes. These processes can be monitored using spectral vegetation indices (VI) as their temporal dynamics are expected to be related with green biomass and photosynthetic efficiency. The Normalized Difference Vegetation Index (NDVI) is sensitive to structural canopy changes, however it tends to saturate at moderate-to-dense canopies. Modified VI have been proposed to incorporate the reflectance in the red-edge spectral region, which is highly sensitive to chlorophyll content while largely unaffected by structural properties. In this research, in situ data on the location and vitality status of cork oak trees are used to assess the correlation between chlorophyll indices (CI) and NDVI time series trends and cork oak vitality at the tree level. Preliminary results seem to be promising since differences between healthy and unhealthy (diseased/dead) trees were observed.

scholarly journals Temporal Variation in Vegetation Indexes for Pine and Beech Stands During the Vegetation Season, Szczecin Lowland, Poland

2014 ◽  
Vol 33 (3) ◽  
pp. 131-143 ◽  
Author(s):  
Paweł Piekarski ◽  
Zbigniew Zwoliński
Keyword(s):  
Species Composition ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Vegetation Indices ◽  
Vegetation Season ◽  
Vegetation Indexes ◽  
Beech Stand ◽  
Normalized Difference Index ◽  
North Western ◽  
Phenological Phases

Abstract Located in north-western Poland, the Bukowska Forest and Goleniowska Forest are vast woodlands consisting of areas with a homogeneous species composition that have been scarcely affected by humans. In this respect, they provided an excellent subject for scientific research, the purpose of which was to determine quantitative differences in selected vegetation indices of pine and beech stands in various periods during their vegetation seasons. Another purpose was to characterize the variation in these indices for each stand in its vegetation season. Four Landsat 5 TM images taken in 2007 and 2010 at four different points of vegetation season provided the basis for the analysis. In the analysis, 19 wooded areas with a homogeneous species composition were tested. In Bukowska Forest, the tested area was a beech stand, and in Goleniowska Forest, it was a pine stand. Acquired data was used to calculate the following vegetation indices: Normalized Difference Vegetation Index (NDVI), Transformed Vegetation Index (TVI), Green Normalized Difference Vegetation Index (Green NDVI), Normalized Difference Greenness Index (NDGI) and Normalized Difference Index (NDI). Subsequent research allowed to establish that the beech and pine stands differed significantly with respect to their calculated vegetation indices. These differences derived both from the biochemical and structural attributes of leaves and needles, as well as from transformations that occur in the stands during vegetation seasons. Analysis of the indices’ allowed us to determine these differences and the influence of the stands’ phenological phases on the indices.

scholarly journals ANÁLISE DA GESTÃO OCUPACIONAL EM MONTES CLAROS – MG: Impactos do uso do solo e suas consequências na temperatura de superfície

2020 ◽  
Vol 15 (01) ◽  
pp. 285-311
Author(s):  
Bruna Reis Pereira ◽  
Mariana Barreto Mees ◽  
Manoel Reinaldo Leite ◽  
Raul de Magalhães Filho
Keyword(s):  
Surface Temperature ◽  
Urban Space ◽  
Temperature Increase ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Centers ◽  
Human Needs ◽  
Significant Temperature ◽  
Landsat 5 Tm ◽  
The City

O uso do solo é a atividade de uma sociedade por sobre uma superfície, este caracteriza-se conforme as individualidades conjugada aos padrões de necessidades humanas. Um dos impactos ambientais que deve ser considerado neste processo de apropriação é o comportamento térmico de superfície. Neste sentido, o presente trabalho, tendo como área de estudo o perímetro urbano de Montes Claros – MG, teve como objetivo analisar a ocupação do espaço urbano na cidade sob uma condição cronológica: 1990 a 2010. Por meio da análise de imagens de sensoriamento remoto (Landsat 5 TM) procurou-se verificar se o modelo de ocupação provocou problemas urbanos de natureza térmica. Os resultados mostraram, a partir da metodologia adotada, que regiões com decréscimo de NDVI (Índice de Vegetação por Diferença Normalizada) e grande adensamento de edificações tiveram significativos aumento de temperatura no período considerado, ratificando o problema de aumento de temperatura de superfície nos centros urbanos. Palavras-chave: Urbanização; temperatura de superfície; desenvolvimento urbano; Montes Claros.   ANALYSIS OF OCCUPATIONAL MANAGEMENT IN MONTES CLAROS - MG: Impacts of land use and its consequences on surface temperature Abstract The use of the soil is the activity of a society above a surface, this is characterized according to the individualities combined with the patterns of human needs. One of the environmental impacts that must be considered in this appropriation process is the surface thermal behavior. In this sense, the present study, having as its study area the urban perimeter of Montes Claros - MG, aimed to analyze the occupation of urban space in the city under a chronological condition: 1990 to 2010. Through the analysis of remote sensing images (Landsat 5 TM), it was verified that the occupation model caused urban problems of a thermal nature. The results showed that the regions with decreasing NDVI (Normalized Difference Vegetation Index) and high density of buildings had significant temperature increase in the period considered, confirming the problem of surface temperature increase in urban centers . Keywords: Urbanization; Surface temperature; urban Development; Montes Claros.   ANALYSE DES PROFESSIONNELLES GESTION MONTES CLAROS - MG: impacts de l'utilisation des terres et les conséquences de la température de surface Resumen Uso de la tierra es la actividad de una corporación sobre una superficie, este se caracteriza como individualidades combinados a los estándares de las necesidades humanas. Un impactos ambientales que deben ser considerados en este proceso de solución es la superficie comportamiento térmico. En este sentido, el presente trabajo, con el área de estudio del área urbana de Montes Claros - MG, tuvo como objetivo analizar la ocupación del espacio urbano en la ciudad bajo una condición cronológico: 1990 a 2010. Por medio del análisis de imágenes de teledetección (Landsat 5 TM) trató de verificar que el modelo de ocupación provocó problemas urbanos de la naturaleza térmica. Los resultados mostraron que a partir de la metodología utilizada, las regiones con la disminución de NDVI (índice de vegetación de diferencia normalizada) y de alta densidad de edificios tenían aumento significativo de la temperatura durante el periodo considerado, lo que confirma el problema aumento de la temperatura de superficie en los centros urbanos . Palavras chave: urbanización; temperatura de la superficie; desarrollo Urbano; Montes Claros.

scholarly journals Investigating Land Surface Temperature Changes Using Landsat Data in Konya, Turkey

2016 ◽  
Vol XLI-B8 ◽  
pp. 285-289 ◽  
Author(s):  
O. Orhan ◽  
M. Yakar
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Salt Lake ◽  
Meteorological Data ◽  
Landsat 8 ◽  
Remotely Sensed Data ◽  
Landsat 5 Tm

The main purpose of this paper is to investigate multi-temporal land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) changes of Konya in Turkey using remotely sensed data. Konya is located in the semi-arid central Anatolian region of Turkey and hosts many important wetland sites including Salt Lake. Six images taken by Landsat-5 TM and Landsat 8- OLI satellites were used as the basic data source. These raw images were taken in 1984, 2011 and 2014 intended as long-term and short-term. Firstly, those raw images was corrected radiometric and geometrically within the scope of project. Three mosaic images were obtained by using the full-frame images of Landsat-5 TM / 8- OLI which had been already transformed comparison each other. Then, Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) maps have been produced to determine the dimension of the drought. The obtained results showed that surface temperature rates in the basin increased about 5°C between 1984 and 2014 as long periods, increased about 2-3°C between 2011and 2014 as short periods. Meteorological data supports the increase in temperature.

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