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PROALUV  Alluvium Mapping in Northeast Brazil, 1:100,000 scale, using satellite images LANDSAT 7 ETM + Se nsor a nd SRTM (Shuttle Radar Topographic Mission) products like Slope  Author: Carlos Eugênio da Silveira Arraes Engenheiro de Minas Remote Sensing applied to Geology

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PROALUV Alluvium Mapping in Northeast Brazil,1:100,000 scale, using satellite imagesLANDSAT 7 ETM + Sensor and SRTM

(Shuttle Radar Topographic Mission) productslike Slope

 Author:

Carlos Eugênio da Silveira Arraes

Engenheiro de MinasRemote Sensing applied to Geology

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Partial area of the Project PROALUV ± Alluvium CartographyScale 1:100,000

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Identification of alluvium They occupy areas adjacent of the drainages with

slopes, evaluated in ArcGis, essentially less than 2degrees.

Are identified with the help of the spectral responseof healthy vegetation that occurs on the wet alluviumalong the drainages contrasting with thesurrounding more dry vegetation.

Alluvial sediments on riverbeds are different of theadjacent sediments, mainly, by a higher content of quartz derived by the river stream transport power 

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Spectral and spatial alluvium behavior 

The healthy vegetation on alluvium has highreflectance in band 4 of Landsat 7 ETM +. As

seen on Composition 4R 3G 1B.

Shaded relief, generated from the SRTM,shows, in some cases, the major riverbed andthe river floodplain

Slope, in degrees, generated and classified in

 ArcGis, indicates that the alluvium in the slopeimages have steepness values less than 2degrees.

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Band compositions and other images used in additionto 4R 3G 1B and SRTM

5R 4G 1B Sensor LANDSAT 7 ETM +.

3R 2G 1B Sensor LANDSAT 7 ETM+.

NDVI (Normalized Difference Vegetation Índice).

Greeness e Wetness Components from TasseledCap transformation.

Band Ratio: (Banda 4/ banda3) from Sensor LANDSAT 7 ETM+.

SRTM classified 4 / 3 R - (Greenness) G - ( Wetness) B composition.

PC1 R - 5G - 7B composition.

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LIMITATIONS OF METHODS AND MATERIALS

One must consider the limitations arising from the size of the pixels of images, composed by the bands of Landsat 7 ETM + (pixel:30m) and

by Slope image, generated from the SRTM (pixel 90m) in ARC GIS .The measured values obtained in the images, are not suitable for direct application calculations in the field.

Slope profiles generated in ARC GIS should be studied consideringthe spatial limitations of such pixels.

The widths of the alluvium to be studied, should exclude riversidevegetation stains, constituted by ocasional irrigated crops, in themargin with no alluvial sediments.

In addition to the restrictions of spatial resolution (pixels of 30m and90m) we must consider the restrictions of the spectral resolution of the materials. The bands of the Landsat 7 ETM + sensor , hardly

distinguish alluvial sands of devastated leucocratic outcrops on theriver floodplains levels.

The scale of 1:100,000 shows an indicative mapping of thesealluviuns.

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Sertânia alluvium map (alluvium in red. Band 4 in R, outlined in

yellow) ,in the composition 4R 3G 1B sensor LANDSAT 7 ETM +

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Sapé Map 1:100.000 scale : Rio Paraíba major riverbed andfloodplain, as seen in classfied slope, from SRTM, made in Arc

Gis. Alluvium with slope < 2 degrees

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Afogados da Ingazeira and Prata maps 1:100.000 scale. Classified Slope.Alluvium showed outlined in yellow, in white coloured slope class <2

degrees along the riverbeds

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LANDSAT 7 ETM+ 4R 3G 1B image in Afogados da Ingazeira e PrataCounties maps Alluviuns in red( 4R) outlined in yellow.

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Processed Slope image from SRTM, with alluviuns outlined in yellow andwells in brown dots, in Bodocó County map

Alluvions are on riverbed, with slow slope < 2 degrees showed in whitecontoured in blue

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LANDSAT 7 ETM+ 4R 3G 1B image from Bodocó County map. Aluviumare in red (4R), outlined in yellow. Drilled water wells are in brown dots.

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Slope image processed from SRTM, with alluvium outlined inyellow and wells in brown dots, in Custódia Riacho do Navio

Counties mapAlluvions are on riverbeds, with low slope < 2 degrees showed in

white, contoured in yellow

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Custodia and Riacho do Navio Counties maps, showing alluviumin red(healthy vegetation at near infrared - 4R) , contoured

(drawed)in yellow, along dry riverbeds, with low slopes (notshowed) < 2 degrees

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Alluvium low Slopes (<2 degrees), showed in white, along drainages, atMirandiba (Tupanaci) and Betânia Counties. drilled wells showed in

brown dots.The water wells are placed on dry the riverbeds in

northeast Brazil semiarid .T

he rivers are dry during almost all theyear.They have mostly underground flow and almost none run off.

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Alluvium slopes in white, outlined in yellow,in Mirandiba (Tupanaci)

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Alluvium, plenty of water(with healthy vegetation on them) ,are showedin red (due to the vegetation high reflectance in infrared band 4 in

channel red), in 4R 3G 1B LANDSAT 7 ETM+sensor composition. Slopeprofiles with values under two degrees, along the dry riverbeds, in semi

arid areas from the Northeast Brazil counties, shows the alluviumprobable places.

In brazilian semi arid, during most of the year, the rivers are dry with lowor none run off and with only an underground flow which accumulate

water in river alluvial sedimentsIn the drought, in semiarid region, the surrounding vegetation is dry,

contrasting with the healthy vegetation, which grows on the full of water alluvium

Monteiro Prata 1:100.000 scale Map

Afogados da Ingazeira 1:100.000 scale Map

Tupanaci 1:100.000 scale Map

Delmiro Gouveia 1:100.000 scale Map Ouricuri 1:100.000 scale Map

BodocóMap 1:100.000 scale

Custódia 1:100.000 scale Map

Serra talhada 1:100.000 scale Map

Sertânia 1:100.000 scale Map

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 Aluviões na Folha Monteiro Prata

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Monteiro Prata County Slope profiles

Riverbeds slopes low values (under 2 degrees) point out probable alluvium

places.

The riverbed low slopes decreases river waterflow, during the short rainy

season, diminishing the waterflow velocities, which give rise to thesediments settling, like the sands in suspension, creating the alluvium,

which in the dry season will accumulate the underground water, to be

explotated through drilled water wells and underground dams.

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Slope profiles 1:100.000 scale Afogados da Ingazeira map

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Perfil das Declividades da Folha 1:100.000 Tupanaci

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Perfil das Declividades da Folha 1: 100.000 Delmiro Gouveia

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Perfil das Declividades da Folha 1:100.000 Ouricuri

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Perfis das Declividades da Folha 1:100.000 Bodocó

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Perfil das Declividades da Folha 1:100.000 Custódia

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Perfil das declividades da Folha 1:100.000 Serra Talhada

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4R_3G_1B_Folha Delmiro Gouveia_Rio Moxoto_Caraibeiras_Tacaratu

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Slopes Delmiro Gouveia map_ Moxoto River_Caraibeiras_Tacaratu

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Conclusions

The spectral patterns favorable to alluviumidentification (healthy vegetation along theriverbeds, contrasting with surrounding dryvegetation ) found in satellite images, should beconfronted with the slope images, in order to ensurethe existence of a alluvium and not a colluviumvegetation. However, due to the pixel size of theslope(derived from SRTM) is 90m, may occur,sporadically, that an alluvium, with a width of 30 m,for example, may appear to have a slope of 5 degrees. It is easy to understand since we pay

attention to the fact that, a very small width of alluvium(less than 90m) would be represented in amixed pixel, in the image slope, which would includethe width of this alluvium and part of the steeper slope marginal area.