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LBA-ECO CD-06 Soil Classification Map, Ji-Parana River Basin, Rondonia, Brazil
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Revision date: May 17, 2012

Summary:

This data set provides a digital map of soil orders for the Ji-Parana River Basin, in the state of Rondonia, Brazil (Western Amazonia). Soil orders were manually digitized from a 1:500,000 map from EMBRAPA originally published in 1983. Oxisols and Ultisols are the predominant soil types in the basin, encompassing 47% and 24% of the total drainage area, respectively. Entisols cover 14%, Alfisols 13% and Eptisols 2% of the basin (Ballester et al., 2003). One data file is provided in ESRI ArcGIS Shapefile format compressed into a single zip file (*.zip).

soil map ji-Parana river basin

Figure 1. Soil map of the Ji-Parana´ River basin (EMBRAPA, 1983) (Ballester et al., 2003).

Data Citation:

Cite this data set as follows:

Ballester, M.V.R., D. de C. Victoria, A.V. Krusche, R.L. Victoria, and J.E. Richey. 2012. LBA-ECO CD-06 Soil Classification Map, Ji-Parana River Basin, Rondonia, Brazil. Data set. Available on-line [http://daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. http://dx.doi.org/10.3334/ORNLDAAC/1088

Implementation of the LBA Data and Publication Policy by Data Users:

The LBA Data and Publication Policy [http://daac.ornl.gov/LBA/lba_data_policy.html] is in effect for a period of five (5) years from the date of archiving and should be followed by data users who have obtained LBA data sets from the ORNL DAAC. Users who download LBA data in the five years after data have been archived must contact the investigators who collected the data, per provisions 6 and 7 in the Policy.

This data set was archived in June of 2012. Users who download the data between June 2012 and May 2017 must comply with the LBA Data and Publication Policy.

Data users should use the Investigator contact information in this document to communicate with the data provider. Alternatively, the LBA website [http://lba.inpa.gov.br/lba/] in Brazil will have current contact information.

Data users should use the Data Set Citation and other applicable references provided in this document to acknowledge use of the data.

Table of Contents:

1. Data Set Overview:

Project: LBA (Large-Scale Biosphere-Atmosphere Experiment in the Amazon)

Activity: LBA-ECO

LBA Science Component: Land Surface Hydrology

Team ID: CD-06 (Richey / Victoria)

Richey, Jeffrey E.; Victoria, Reynaldo Luiz; Aalto, Rolf Erhart; Abdo, Mara Silvia Aguiar; Alin, Simone Rebecca; Aufdenkampe, Anthony K.; Ballester, Maria Victoria Ramos; Bernardes, Marcelo Correa; Bolson, Marcos Alexandre; Bonelle, Nilton; Brito, David Silva; Cogo, Michelle Cristine; Cunha, Hillandia Brandao; Silva, Luis Vilmar Souza da; Deus, Fabiano Alves de; Devol, Allan H.; Ellis, Erin Elizabeth; Fernandes, Erick C.M.; Ferro, Jaderson Coradi; Filho, Walter Jorge do Nascimento; Frickmann, Fernando Cruz; Guandique, Manuel Enrique Gamero; Gomes, Beatriz M.; Neto, Sergio Candido Gouveia; Hanada, Lais de Carvalho; Higuchi, Niro; Holtgrieve, Gordon William; Krusche, Alex V.; Leite, Nei Kavaguichi; Logsdon, Miles Grant; Macedo, Gelson de; Marcondes, Renata; McGeoch, Lauren; Moreira, Marcelo Zacharias; Neu, Vania; Ometto, Jean Pierre H.B.; Pimentel, Tania Pena; Filho, Nicolau Priante; Rasera, Maria de Fatima Fernandes Lamy; Remington, Sonya Marie; Rodda, Sarah; Salimon, Cleber Ibraim; Santiago, Alailson Venceslau; Toledo, Andre Marcondes Andrade; Tumang, Cristiane Azevedo and Victoria, Daniel de Castro . You may contact Ballester, Maria Victoria Ramos (vicky@cena.usp.br).

LBA Data Set Inventory ID: CD06_Soils_JiParana

This data set provides a digital map of soil orders for the Ji-Parana River Basin, in the state of Rondonia, Brazil (Western Amazonia). Soil orders were manually digitized from a 1:500,000 map from EMBRAPA originally published in 1983. Oxisols and Ultisols are the predominant soil types in the basin, encompassing 47% and 24% of the total drainage area, respectively. Entisols cover 14%, Alfisols 13% and Eptisols 2% of the basin (Ballester et al., 2003).

2. Data Characteristics:

There is one ESRI ArcGIS shapefile of soil order boundaries with this data set.  The shapefile (soils.*) contains six files (*.shx, *.dbf, *.prj, *.sbn,*.sbx, and *.shp).

The shapefile is provided as a compressed (*.zip) file:  soils.zip

The shapefile is of polygon geometry with the following projection parameters:

Projected Coordinate System: WGS_1984_UTM_Zone_20S
Projection: Transverse_Mercator
False_Easting: 500000.000000
False_Northing: 10000000.000000
Central_Meridian: -63.000000
Scale_Factor: 0.999600
Latitude_of_Origin: 0.000000
Linear_Unit: Meter
Geographic Coordinate System: GCS_WGS_1984
Datum: D_WGS_1984
Prime Meridian: Greenwich
Angular Unit: Degree

Data attribute table contains the following attributes:

Soiltype:  Soil type code from legend on hardcopy source map.  Examples -- PEe2, PEe3, PEe4, AQa2, Rd, HGPa1, LVa15, PVd3, river

SoilOrder: U.S. soil order values.  Examples -- Alf = Alfisol, Ent = Entisol, Ept = Inceptisol, Ox = Oxisol,  Ult = Ultisol, Water

Unidade (Unit):  Brazilian soil classificaiton values that are a combination of order and suborder.  Examples -- Podzolico Verm-Am. Escuro, Areias Quartzosas, Latossolo Amarelo, Terra Roxa Estruturada, Litossolo


Note: The Brazilian soil classification system does not map one to one with the U.S. classification system. SoilOrder has U.S. soil order classification values. Unidade (Unit) has Brazilian classification values that are a combination of order and suborder. By retaining Brazilian classification values we avoid losing some information.

Site boundaries: (All latitude and longitude given in decimal degrees)

Site (Region) Westernmost Longitude Easternmost Longitude Northernmost Latitude Southernmost Latitude Geodetic Datum
Rondonia- Rio Ji-Parana(Rondonia) -63.41528 -60.015 -8.0333 -12.92694 World Geodetic System, 1984 (WGS-84)


Time period:

Platform/Sensor/Parameters measured include:

3. Data Application and Derivation:

Ballester et al. (2003) used this soil map in their integrated analysis of the landscape characteristics, including soil properties, river network, topography, and land use/cover of the Ji-Parana River basin.

4. Quality Assessment:

Soil units were derived from four EMBRAPA (1983) 1:500,000 maps, manually digitized. The average mean square error was 1.2 m. 

 

5. Data Acquisition Materials and Methods:

Site Description

In the State of Rondonia, Brazil, (Western Amazonia), the confluence of the Comemoracao and Pimenta Bueno Rivers results in the Ji-Parana River, which also receives water from the Rolim de Moura, Urupa, Jaru, Machadinho and Preto tributaries. The Ji-Parana River Basin drains an area of 75,000 km2, and is characterized by extensive development in the upper part, and slight alteration in the lower 400 km. From headwaters to its middle sectors, the river is highly impacted, with a predominance of pastures and agriculture. About 60% of the soils in the basin are eutrofic and are favorable for agriculture. Oxisols and Ultisols are the predominant soil types in the basin, encompassing 47% and 24% of the total drainage area, respectively. Entisols cover 14%, Alfisols 13% and Eptisols 2% of the basin (Ballester et al., 2003).

Methods

Soil orders were digitized from 1:500,000 maps from EMBRAPA originally published in 1983. Four paper maps were manually digitized in ArcInfo GIS and projected in UTM coordinate system. The average mean square error was 1.2 m. 

6. Data Access:

This data is available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).

Data Archive Center:

Contact for Data Center Access Information:
E-mail: uso@daac.ornl.gov
Telephone: +1 (865) 241-3952

7. References:

Ballester, M.V.R., D. de C. Victoria, A.V. Krusche, R. Coburn, R.L. Victoria, J.E. Richey, M.G. Logsdon, E. Mayorga, and E. Matricardi. 2003. A remote sensing/GIS-based physical template to understand the biogeochemistry of the Ji-Parana river basin (Western Amazonia). Remote Sensing of Environment 87(4):429-445.

Cochrane, T. T. and Cochrane, T.A. 1998. SIGTERON, Sistema de Information Geografica para os terrenos e solos do Estado de Rondonia, Brasil. (Geographic Information System for terrains and soils of Rondonia State, Brazila) Tecnosolo / DHV Consultants BV, Porto Velho, Rondonia. Portuguese. 

EMBRAPA (1983). Mapa de levantamento de reconhecimento de me´dia intenside dos solos do Estado de Rondonia. Mapas 73, 74, 75 e 76. (Reconnaissance of medium intensity survey map of the soils of Rondonia State. Maps 73, 74, 75 and 76).  CEPA, RO, Portuguese.  EMBRAPA Web Site:  http://www.embrapa.br/english