Estudo da dinâmica espaço-temporal do bioma Pantanal por meio de imagens MODIS

Adami, Marcos; Freitas, Ramon Morais de; Padovani, Carlos Roberto; Shimabukuro, Yosio Edemir; Moreira, Maurício Alves

doi:10.1590/s0100-204x2008001000016

Cited by 17 publications

(14 citation statements)

References 7 publications

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“…The high inter-annual variability of rainfall in the region results in variability in the flooding regimes, and possibly in the phenological profiles. Adami et al (2008) emphasized that, in the Pantanal, different kinds of vegetation receive different amounts of rainfall, in different locations and, consequently, have different spectral responses. So, the small variations in mean peak time might be the result of intra-regional rainfall differences, since the rainfall is significantly higher in some parts of the surrounding uplands of Pantanal, particularly in the north (EDIBAP unpubl.…”

Section: Discussionmentioning

confidence: 99%

Subdivision of Pantanal Quaternary Wetlands: Modis Ndvi Timeseries in the Indirect Detection of Sediments Granulometry

Penatti¹,

Almeida²

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Pantanal is the world's largest wetland presenting a variety of ecological sub-regions. The region is characterized by seasonal floods followed by long droughts. At this period, some areas rapidly dry, while others remain soaked. The study hypothesis was based on the statement that this phenomenon cannot be totally explained by small relief variations but by the sediment granulometry: the pelitic sediments allow the soil to retain moisture longer, implying that the vegetation has greater possibilities of continuing photosynthetically active even during the drought. It was developed based on the spectral behaviour of MODIS products, validated by previous fieldwork. Using MODIS, we studied a large scale patterns in spatial and seasonal dynamics of the vegetation in different regions of Pantanal. So, two indirect parameters of the local physical environment -sediment granulometry and water availability -potentially can be estimated. We calculated the NDVI from MOD09GQ for rainy and dry seasons, generating triplets (NDVI/NIR and Red bands) that allowed to identify vegetation changes in those periods. The 16-days composites of NDVI (MOD13Q1) were used to generate a 5-year time-series for pixels associated with 161 locals sampled for granulometric analyses. The samples were taken in 10 different areas from the 20 geological and environmentally homologous areas delimited in this research. The clear tendency in the time-series confirms the working hypothesis, indicating that there is a high relationship between drought-related changes in vegetation extracted from NDVI and sediment texture, parameter that plays an important role in soil moisture, influencing the vegetation response to droughts.

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Section: Discussionmentioning

confidence: 99%

Subdivision of Pantanal Quaternary Wetlands: Modis Ndvi Timeseries in the Indirect Detection of Sediments Granulometry

Penatti¹,

Almeida²

2012

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Comparing the year 2006 with the year 2015, the median increases to 0.69 ( Figure 1). The maximum NDVI in the vegetation generally occurs in June, two months after the rainy season (Gurgel et al, 2003;Adami et al, 2008). Júnior et al (2008), characterize the behavior of NDVI with higher values in the rainy season.…”

Section: Analysis Of Vegetation Indicesmentioning

confidence: 99%

Change in Biophysical Parameters from the Creation of a Natural Monument in Mato Grosso

Souza

Danelichen²,

Biudes

et al. 2019

Rev. Bras. Geog. Fis.

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Among the categories of conservation units, the Natural Monument (MoNa) presents a high challenge because it is established areas. MoNa Morro de Santo Antônio is the only one in the state of Mato Grosso and degree of preservation is unknown. Thus, the objective of this work was to evaluate the use and occupation of the soil after the creation of MoNa Morro de Santo Antônio in the state of Mato Grosso and its influence on biophysical parameters from remote sensing techniques. For this, images of the surface reflectance obtained by Landsat 5 and 8 were used. The vegetation classification in the MoNa Morro de Santo Antônio was supervised. The estimated biophysical parameters were the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and the Normalized Difference Moisture Index (NDMI). The results presented in this work show that after the creation of MoNa Morro de Santo Antônio the native Cerrado class increased by 3.38%, the Undergrowth vegetation increased by 5.59% and the Forest dense class increased from 2.21% between 2006 and 2015. The Undergrowth vegetation class had a greater predominance. All indexes were lower in 2006 and higher in 2015. The results of this study are preliminary, but indicate that the creation of MoNa Morro de Santo Antônio in Mato Grosso influenced the preservation of its vegetation.

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“…The MODIS images are geotagged and corrected for atmospheric effects, such as aerosols and clouds, and are distributed for free. Its products are commonly used for the detection of anthropogenic and natural changes in land cover and vegetation cover phenology (Bedia et al, 2015;Fajardo & Gundale, 2015) and monitoring of spatio-temporal dynamics of biomes (Adami et al, 2008). Other MODIS sensor applications include the detection of fires (Yebra et al, 2008;Huesca et al, 2009), dynamic monitoring of rivers (Cerdà & Lasanta, 2005;Keesstra et al, 2014), the estimation of biophysical properties of the Earth's surface and the land use and occupation (Table I).…”

Section: Introductionmentioning

confidence: 99%

Nonparametric Statistics Applied to Fire Foci Obtained by Meteorological Satellites and Their Relationship to the MCD12Q1 Product in the State of Rio de Janeiro, Southeast Brazil

et al. 2016

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This study shows the relationship between the fire foci and the MCD12Q1 product (MODIS) for the land use and occupation in the state of Rio de Janeiro (SRJ) and evaluates the growth and decay of trends fire foci through nonparametric tests, applied to the number of fire foci in the 2000–2012 period. The study period was divided into (1) 2001 to 2013 for assessment of the product MCD12Q1 back for the land use and occupation and application of nonparametric tests and (2) 2000 to 2012 for the descriptive statistics (total and percentage‐%) of fire foci geared for regional assessment. To evaluate growth trends and decay of fire foci, the nonparametric tests (Mann–Kendall and Pettitt) were utilized. Based on data obtained by Instituto Brasileiro de Geografia e Estatística (IBGE), the land use and occupation in the SRJ has been modified from the last two census years (1995 and 2006). The Mann–Kendall test was significant for the year 2001, with trends of 0 · 19 and 0 · 08 (Mann–Kendall). Fire foci for the years 2001 and 2013 grew with an increase of 0 · 05 and 0 · 01 per year, respectively. The Pettitt statistic test applied for the year 2001 showed that almost 70% of the studied municipalities were above the critical threshold, which has not occurred for the year 2013. The North Fluminense Region with 596 fire foci (30 · 35%) was the one with the largest number of fire foci, and the municipality of Campos dos Goytacazes was the largest contributor, with 344 fire foci (57 · 72%). The Pasturage class (MCD12Q1 product) had the biggest number of fire foci, with 354 foci (56 · 64%) in 2001 and 564 foci (42 · 28%) in 2013 and the largest amount in the north of the SRJ. The study indicated that there was a significant increase in average fire foci. Copyright © 2016 John Wiley & Sons, Ltd.

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Estudo da dinâmica espaço-temporal do bioma Pantanal por meio de imagens MODIS

Cited by 17 publications

References 7 publications

Subdivision of Pantanal Quaternary Wetlands: Modis Ndvi Timeseries in the Indirect Detection of Sediments Granulometry

Subdivision of Pantanal Quaternary Wetlands: Modis Ndvi Timeseries in the Indirect Detection of Sediments Granulometry

Change in Biophysical Parameters from the Creation of a Natural Monument in Mato Grosso

Nonparametric Statistics Applied to Fire Foci Obtained by Meteorological Satellites and Their Relationship to the MCD12Q1 Product in the State of Rio de Janeiro, Southeast Brazil

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