20210830
09512500
1.0
ISO 19139 Metadata Implementation Specification
FALSE
geografia_interfluvio_Purus_Madeira
002
-79.616942
-42.463610
-20.498211
5.280955
1
0.000
Geographic
GCS_SIRGAS_2000
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>GEOGCS["GCS_SIRGAS_2000",DATUM["D_SIRGAS_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4674]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
20260427
13493900
20260427
13493900
500000
5000
ItemDescription
Esri ArcGIS 13.6.3.59530
interfluvio_Purus_Madeira
1
-79.616942
-42.463610
5.280955
-20.498211
Basin Levels 6, Minor sub-basins
<div style='text-align:Left;'><div><div><p><span>The BL6 level were created by subdividing BL4 basins into drainage subunits with </span><span>lower </span><span>threshold size of 1,000 km2.</span></p><table><tbody><tr><td><p style='margin:0 0 0 0;'><span><span>Variables</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Description</span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>OBJECTID</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Object identifier</span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR1_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of first order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR2_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of second order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR3_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of third order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR4_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of fourth order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR5_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of fifth order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR6_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of sixth order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR7_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of seventh order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR8_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of octave order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR9_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of ninth order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR10_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of tenth order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_OR11_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of eleventh order stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>SUM_TOT_K</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>The length (km) of all orders stream by each basin in the full resolution network </span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>Area_km2</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Area in square kilometers</span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>Area_ha</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Area in hectares</span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>BL6</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Name of basin in level BL6</span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>BL6_id</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Number Identifier of BL6 level</span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>Shape_Length</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Length in degrees - NOT USE</span></span></p></td></tr><tr><td><p style='margin:0 0 0 0;'><span><span>Shape_Area</span></span></p></td><td><p style='margin:0 0 0 0;'><span><span>Area in degrees - NOT USE</span></span></p></td></tr></tbody></table><p><span /></p></div></div></div>
paisagens
prioritarias
Authors:
Eduardo Venticinque1, Bruce Forsberg2, Ronaldo B. Barthem3, Paulo Petry4, Laura Hess5, Armando Mercado6, Carlos Cañas6, Mariana Montoya6, Carlos Durigan6, Michael Goulding6.
Affiliations:
1-Universidade Federal do Rio Grande do Norte endereço (UFRN), Depto Ecologia, 59072-970 - Natal, RN – Brazil
2-Instituto Nacional de Pesquisas da Amazônia (INPA) Cx Postal 478, Manaus, AM, Brazil, 69011-970
3-Museu Paraense Emilio Goeldi (Belém, Pará, Brazil), Caixa Postal 399, Belém, PA, Brazil, 66040-170
4-The Nature Conservancy (TNC), 4245 N. Fairfax Drive, Arlington VA22203, USA & Harvard University, Cambridge MA 02138, USA
5-Earth Research Institute, University of California, Santa Barbara, California 93106-3060 USA
6-Wildlife Conservation Society (WCS), 2300 Southern Boulevard, Bronx, New York 10460 USA
Contact: Eduardo Venticinque - eduardo.venticinque@gmail.com; BruceForsberg - brforsberg@gmail.com; Armando Mercado - amercado@wcs.org
The synthetic work for this paper was supported by the Science for Nature and People (SNAP) project sponsored by the National Center for Ecological Analysis and Synthesis (NCEAS), the Wildlife Conservation Society (WCS) and the Nature Conservancy (TNC).
File Geodatabase Feature Class
0.000
dataset
EPSG
6.11(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
geografia_interfluvio_Purus_Madeira
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape_Leng
Shape_Leng
Double
8
0
0
Work_Area
Work_Area
String
100
0
0
Shape_Le_1
Shape_Le_1
Double
8
0
0
ha
ha
Double
8
0
0
coordenada
coordenada
Integer
4
0
0
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
km2
km2
Double
8
0
0
Centroide_
Centroide_
Double
8
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Centroide1
Centroide1
Double
8
0
0
20260427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=