MODIS VCF: Difference between revisions
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The Modis VCF (Vegetation Continuous Fields) data holds a global 500 x 500 m resolution dataset on the vegetation cover. The dataset consists of three files: Percent trees, bare ground and herbaceous vegetation. The WindPRO online data service converts these three files into a roughness classification legend. The Modis VCF is an annual representation of the period November 2000 to November 2001. | The Modis VCF (Vegetation Continuous Fields) data holds a global 500 x 500 m resolution dataset on the vegetation cover. The dataset consists of three files: Percent trees, bare ground and herbaceous vegetation. The WindPRO online data service converts these three files into a roughness classification legend. The Modis VCF is an annual representation of the period November 2000 to November 2001. | ||
== Coverage == | == Coverage == | ||
The coverage is near global. Only Antarctica and the polar region above 80 degrees north is missing. Please note that this roughness classification is based on a vegetation index only. Hence, urban areas must be added manually. In addition, the conversion from vegetation cover to roughness classification is still experimental | The coverage is near global. Only Antarctica and the polar region above 80 degrees north is missing. Please note that this roughness classification is based on a vegetation index only. Hence, urban areas must be added manually. In addition, the conversion from vegetation cover to roughness classification is still considered to be experimental. | ||
== Data Processing at EMD == | == Data Processing at EMD == | ||
An overview is of the EMD legend is shown in the table below. This legend is created by using a simple algorithm for the conversion from canopy cover to roughness class. For now, this algorithm is a simple linear relationship – a function of the canopy cover only. At a later stage, this algorithm may be improved by adding dependencies on herbaceous vegetation and bare ground percentages. | An overview is of the EMD legend is shown in the table below. This legend is created by using a simple algorithm for the conversion from canopy cover to roughness class. For now, this algorithm is a simple linear relationship – a function of the canopy cover only. At a later stage, this algorithm may be improved by adding dependencies on herbaceous vegetation and bare ground percentages. | ||
<center> | |||
{| class="wikitable" | {| class="wikitable" | ||
|+ align="bottom"|Table: Interpretation of MODIS VCF Input Data in WindPRO 2.7 and later releases | |+ align="bottom"|Table: Interpretation of MODIS VCF Input Data in WindPRO 2.7 and later releases | ||
| Line 17: | Line 17: | ||
|- | |- | ||
|Inland water or ocean | |Inland water or ocean | ||
|0 m | |0.0 m | ||
|0.0005 m | |0.0005 m | ||
|0.20 | |0.20 | ||
| Line 25: | Line 25: | ||
|0.0320 m | |0.0320 m | ||
|1.20 | |1.20 | ||
|- | |||
|Canopy Cover: 1% – 25 % | |||
|2.5 m | |||
|0.0100 m | |||
|2.00 | |||
|- | |||
|Canopy Cover: 26% - 50% | |||
|5.0 m | |||
|0.3031 m | |||
|2.80 | |||
|- | |||
|Canopy Cover: 51% - 75% | |||
|7.5 m | |||
|0.4000 m | |||
|3.00 | |||
|- | |||
|Canopy Cover: 76% - 100% | |||
|10.0 m | |||
|0.5278 m | |||
|3.20 | |||
|- | |||
|Bad data | |||
|0.0 m | |||
|N/A | |||
|N/A | |||
|} | |} | ||
</center> | |||
Where this dataset is to be used near oceans, please make sure that you manually convert the roughness classes for the water areas from roughness class 0.2 to 0.0, as the WAsP model then will use a more appropriate stability model. | |||
The interpretation for WindPRO 2.7 and later releases is shown in the table. Please note that the interpretation has changed since the version 2.6; now slightly higher roughness classes are assumed for lower values of the canopy cover. However, based on even more recent experiences, the 76-100% canopy cover interval should probably be increased to class 3.5 – 4.0, with an additional increase for the lower intervals also. Please do consider such experiences when you use this dataset, and remember to apply a proper screening and calibration of the data for your particular purposes. | The interpretation for WindPRO 2.7 and later releases is shown in the table. Please note that the interpretation has changed since the version 2.6; now slightly higher roughness classes are assumed for lower values of the canopy cover. However, based on even more recent experiences, the 76-100% canopy cover interval should probably be increased to class 3.5 – 4.0, with an additional increase for the lower intervals also. Please do consider such experiences when you use this dataset, and remember to apply a proper screening and calibration of the data for your particular purposes. | ||
== External Links == | |||
Preferred reference to this verision of the ModisVCF: Hansen, M., R. DeFries, J.R. Townshend, M. Carroll, C. Dimiceli, and R. Sohlberg, Vegetation Continuous Fields MOD44B, University of Maryland. | |||
Web: [http://glcf.umiacs.umd.edu/data/vcf/ http://glcf.umiacs.umd.edu/data/vcf/] | |||
== Acknowledgement == | == Acknowledgement == | ||
Raw data source for this dataset was the Global Land Cover Facility at [http://www.landcover.org http://www.landcover.org] | Raw data source for this dataset was the Global Land Cover Facility at [http://www.landcover.org http://www.landcover.org] | ||
Latest revision as of 12:34, 6 June 2013
Introduction
The Modis VCF (Vegetation Continuous Fields) data holds a global 500 x 500 m resolution dataset on the vegetation cover. The dataset consists of three files: Percent trees, bare ground and herbaceous vegetation. The WindPRO online data service converts these three files into a roughness classification legend. The Modis VCF is an annual representation of the period November 2000 to November 2001.
Coverage
The coverage is near global. Only Antarctica and the polar region above 80 degrees north is missing. Please note that this roughness classification is based on a vegetation index only. Hence, urban areas must be added manually. In addition, the conversion from vegetation cover to roughness classification is still considered to be experimental.
Data Processing at EMD
An overview is of the EMD legend is shown in the table below. This legend is created by using a simple algorithm for the conversion from canopy cover to roughness class. For now, this algorithm is a simple linear relationship – a function of the canopy cover only. At a later stage, this algorithm may be improved by adding dependencies on herbaceous vegetation and bare ground percentages.
| Description | Height | Roughness Length | Roughness Class |
|---|---|---|---|
| Inland water or ocean | 0.0 m | 0.0005 m | 0.20 |
| Canopy Cover: 0% | 0.0 m | 0.0320 m | 1.20 |
| Canopy Cover: 1% – 25 % | 2.5 m | 0.0100 m | 2.00 |
| Canopy Cover: 26% - 50% | 5.0 m | 0.3031 m | 2.80 |
| Canopy Cover: 51% - 75% | 7.5 m | 0.4000 m | 3.00 |
| Canopy Cover: 76% - 100% | 10.0 m | 0.5278 m | 3.20 |
| Bad data | 0.0 m | N/A | N/A |
Where this dataset is to be used near oceans, please make sure that you manually convert the roughness classes for the water areas from roughness class 0.2 to 0.0, as the WAsP model then will use a more appropriate stability model.
The interpretation for WindPRO 2.7 and later releases is shown in the table. Please note that the interpretation has changed since the version 2.6; now slightly higher roughness classes are assumed for lower values of the canopy cover. However, based on even more recent experiences, the 76-100% canopy cover interval should probably be increased to class 3.5 – 4.0, with an additional increase for the lower intervals also. Please do consider such experiences when you use this dataset, and remember to apply a proper screening and calibration of the data for your particular purposes.
External Links
Preferred reference to this verision of the ModisVCF: Hansen, M., R. DeFries, J.R. Townshend, M. Carroll, C. Dimiceli, and R. Sohlberg, Vegetation Continuous Fields MOD44B, University of Maryland.
Web: http://glcf.umiacs.umd.edu/data/vcf/
Acknowledgement
Raw data source for this dataset was the Global Land Cover Facility at http://www.landcover.org