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).
Figure 1. Soil map of the Ji-Parana´ River basin (EMBRAPA, 1983) (Ballester et al., 2003).
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
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 Users who download LBA data in the five years after data have been archived must contact the investigators who collected the data, per provisions 6 and 7 in the Policy.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.
Project: LBA (Large-Scale Biosphere-Atmosphere Experiment in the Amazon)
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 (firstname.lastname@example.org).
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).
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
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
Geographic Coordinate System: GCS_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)|
Platform/Sensor/Parameters measured include:
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.
Soil units were derived from four EMBRAPA (1983) 1:500,000 maps, manually digitized. The average mean square error was 1.2 m.
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).
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.
This data is available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
Contact for Data Center Access Information:
Telephone: +1 (865) 241-3952
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