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Cite as:
G&ouml;ttlicher, D. (2009): <b>Landcover classification Ecuador (10 classes).</b> <i>Available online (http://www.tropicalmountainforest.org/data_pre.do?citid=704) from DFG-FOR816dw.</i>

Resource Description

Title: Landcover classification Ecuador (10 classes)
Short Name: landcover classification ecuador
FOR816dw ID: 704
Publication Date: 2009-10-23
Last Update Date: 2009-10-23
License and Usage Rights: FOR816 data user agreement
Temporal Coverage:
Begin: 2001-11-03
End: 2001-11-03
Geographic Coverage:
Geographic Description: Landsat subset south ecuador (podocarpus)
Bounding Coordinates:
- lon/lat [degrees]
- WGS 84
North: -3.62141° Max:
West: -79.3325° East: -78.6801° Elevation
South: -4.58485° Min:
Dataset Owner(s):
Individual: Dietrich Göttlicher
Contact:
Associated Person(s):
Individual: Jürgen Homeier
Additional Infos:
Creating a classification with landsat ETM+. Preprocessing includes: <br/> Reprojection: Idrisi Import / Reproject, Projection: UTM 17 South (30 m pixel size)<br/> Subsetting: Idrisi Window, min x : 684990, max x : 758010, min y: 9493010, max y: 9601610<br/> Geometric correction: ERDAS Imagine 8.6, Geometric model: Landsat<br/> Reference: Landsat Geocover datasets (1986, 2000, orthorectified), Digital elevation model: SRTM data, Ground Control Points: 152, Control Point Error : (X) 12.68 (Y) 13.42 (Total) 18.46 (<1 pixel), Subsetting: min x: 684990, max x: 757710,min y: 9493010, max y: 9599390<br/> Atmospheric correction: Idrisi Atmosc (Cost model), Year: 2001, Month: 11, Day: 03, GMT: 15.00, Sun elevation: 61.8568494<br/> Band Center (Cm) DN haze Offset Gain<br/> 1 0.485 27 -0.73807 0.11807<br/> 2 0.56 19 -0.76098 0.12098<br/> 3 0.66 12 -0.59425 0.09425<br/> 4 0.83 6 -0.60693 0.09693<br/> 5 1.65 3 -0.11912 0.01912<br/> 7 2.215 5 -0.04165 0.00665<br/> <br/> Topographic correction: <br/> Statistical-empirical approach<br/> Idrisi Hillshade<br/> Digital elevation model: SRTM data<br/> Sun elevation: 61.8568494<br/> Sun azimuth: 114.5874861<br/> <br/> CLASSIFICATION:<br/> Step 1) Maximum likelihood classifier with 19 different training sites<br/> Step 2) Post-classification merging to 15 and 10 classes
Keywords:
| raster | classification | land cover | landsat |
Associated entities to this dataset:
-------- 1 . spatial raster entity --------
Raster Name: landcover classification ecuador
Tech. Details ...
Attribute(s) ...
Metadata Provider:
Individual: Maik Dobbermann
Contact:
Contact Person:
Individual: Dietrich Göttlicher
Contact:
Online Distribution:
Download File: http://www.lcrs.de/data_pre.do?citid=704
Data Publisher:
Organization: DFG-FOR816 Data Warehouse - University of Marburg, Department of Geography
Contact:


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