The DEMIX database (Guth, 2023a) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, CopDEM, FABDEM, NASADEM, and SRTM) compared to high resolution reference DEMs. The database contains 236 DEMIX tiles (Guth and others, 2023) and forms the basis for the ranking of global DEMs in Bielski and others (2023). A K-means clustering of the database using MICRODEM (Guth, 2023b, 2023c), and an additional set of 4 land cover and landform classifications (Table 1) for the 236 DEMIX tiles computed the percentage of each DEMIX tile in each classification category. Guth (2023d) has the raw data for the percentages of each category for each of the 236 tiles along with the K-means cluster assignments. This data set contains 3 figures for ea...
We present a practical approach to inter-compare a range of candidate digital elevation models (DEMs...
<p>The total number of descriptors equals 919. They belong to 6 different categories which are as fo...
<p>(A) The dendrogram is obtained from the the Jaccard similarity that models have across the differ...
The DEMIX database (Guth, 2023) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, CopD...
This dataset of tiles, nominally 10x10 km in size on a geographic grid, supports the work of the Dig...
DEMIX seeks to rank 6 global 1 arc sec DEMs (COPDEM, FABDEM, ALOS, NASADEM, SRTM, and ASTER) [1]. I...
We show the power of the DEMIX database and the reference DEMs created to support it to analyze the ...
This database supports the work of the Digital Elevation Model Intercomparison eXperiment (DEMIX) wo...
This reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX...
This database supports the work of the Digital Elevation Model Intercomparison eXperiment (DEMIX) wo...
This reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX...
We proposed three new criteria to use in addition to those presented in the DEMIX wine contest for e...
This presentation at Geomorphometry 2023 in Iasi supports the work of the Digital Elevation Model In...
Currently there are various global digital elevation models (GDEM) and it would be necessary to have...
The DEMIX ‘wine contest’ is a novel framework for a practical approach to inter-compare a range of c...
We present a practical approach to inter-compare a range of candidate digital elevation models (DEMs...
<p>The total number of descriptors equals 919. They belong to 6 different categories which are as fo...
<p>(A) The dendrogram is obtained from the the Jaccard similarity that models have across the differ...
The DEMIX database (Guth, 2023) contains statistics from 6 test 1 arc second DEMs (ALOS, ASTER, CopD...
This dataset of tiles, nominally 10x10 km in size on a geographic grid, supports the work of the Dig...
DEMIX seeks to rank 6 global 1 arc sec DEMs (COPDEM, FABDEM, ALOS, NASADEM, SRTM, and ASTER) [1]. I...
We show the power of the DEMIX database and the reference DEMs created to support it to analyze the ...
This database supports the work of the Digital Elevation Model Intercomparison eXperiment (DEMIX) wo...
This reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX...
This database supports the work of the Digital Elevation Model Intercomparison eXperiment (DEMIX) wo...
This reference data supports the work of the Digital Elevation Model Intercomparison eXercise (DEMIX...
We proposed three new criteria to use in addition to those presented in the DEMIX wine contest for e...
This presentation at Geomorphometry 2023 in Iasi supports the work of the Digital Elevation Model In...
Currently there are various global digital elevation models (GDEM) and it would be necessary to have...
The DEMIX ‘wine contest’ is a novel framework for a practical approach to inter-compare a range of c...
We present a practical approach to inter-compare a range of candidate digital elevation models (DEMs...
<p>The total number of descriptors equals 919. They belong to 6 different categories which are as fo...
<p>(A) The dendrogram is obtained from the the Jaccard similarity that models have across the differ...