Landcover

MODIS Landcover 2003

Classes, Seasonality, Attributes, and Change

Across Scales

Land cover and landuse is critical information, for multiple applications. DrukDIF started out using datasets based on 1994 SPOT and data from the MODIS satelite.

National Level.

The work originally used the  Landuse3 Polygon is derived from the 1994 SPOT analysis, at NSSC .

This dataset was used as the basis for hydrology modeling. Further work is necessary to make these data ready for modeling. Specific to each class, additional information on the biophysical attributes (rooting depth, height, etc) is required, which can come from multiple sources. Matching vegetation classes and their attributes to those used previously by the UW group for the Mekong (Costa-Cabral et al. 2008) accelerated the process of data set-up.  Some land cover classifications were changed or aggregated to match land use types that were utilized for the Mekong VIC model. The vector land use was then converted to a grid. MODIS 2003 (MOD12Q1 Land Cover Product (MODIS/Terra Land Cover 96 Day L3 Global 1 km ISIN Grid - IGBP land cover classification) was used for areas that fell outside of the country boundaries for the 17 basins. As with the Spot derived Land cover, some land cover classifications were changed or aggregated to match land use types that were utilized for the Mekong VIC model. The two reclassified grids were merged giving the SPOT derived land cover priority. The percentage of different land cover area for every 1/24 degree cell size of analysis was then extracted for use with the VIC model input.

It is hoped that biophysical information derived from the proposed Wang watershed baseline surveys by Gillison et al will help refine the attribute tables required.

Considerable effort goes into such a “one-time” classification. A complementary approach is to use repeat-pass information from the MODIS satellite, which can produce annual maps of landcover, and hence, landcover change, albeit at a coarser resolution (1 km)(Fig. 13). An additional benefit from MODIS is that coarse patterns of seasonal variation in vegetation can be evaluated, using such indices as derived LAI (required by the model) or NDVI (not shown).
 

 

Landcover 2010.

Updated ladncover became available, for applciation to the national level dsts. These data were used ti initilaize the Wangchhu model.

 The 2010 land cover for Bhutan has just been completed. Deki provided the data to the UW, where Harvey converted the land cover by majority assignment from polygons (which seem to come from a ten-meter raster) to our up-to-date 150-meter grid. There are 28 codes for Bhutan (25 for the WangChhu), as listed in the land cover directory: alc_wc_seqno.asc of 150m cells, coded in the same order as land uses listed in the Bhutan pdf. landcover.txt. The following are now on http://gis.ess.washington.edu/areas/hood_canal/bhutan/landcover, directly accessible to user "hoody".
1 FCf Forests Conifer Forest Fir Forest
2 FCm Forests Conifer Forest Mixed Conifer Forest
3 FCb Forests Conifer Forest Blue Pine Forest
4 FCc Forests Conifer Forest Chir Pine Forest
5 FB Forests Broadleaf Forest Broadleaf Forest
6 FBc Forests Broadleaf Forest Broadleaf and Conifer Forest
7 SH Shrubs
8 GP Meadows
9 AC Cultivated Agricultural Land Chhuzhing Land
10 AK Cultivated Agricultural Land Kamzhing Land
11 HA Cultivated Agricultural Land Horticultural Land Apple Orchard
12 HC Cultivated Agricultural Land Horticultural Land Citrus Orchard
13 HAa Cultivated Agricultural Land Horticultural Land Areca Nut Plantation
14 HCo Cultivated Agricultural Land Horticultural Land Cardamon Plantation
15 HO Cultivated Agricultural Land Horticultural Land Others
16 BA Built Up Areas
17 NB Non-Built Up Areas
18 OS Snow Cover
19 RR Rock Outcrops
20 RS Bare Areas Scree
21 BS Bare Areas Bare Soils
22 WL Water Bodies Lakes
23 WRe Water Bodies Reserviors
24 WR Water Bodies Rivers
25 MA Marshy Areas
26 DL Degraded Areas Landslides
27 DG Degraded Areas Gullies
29 DM Degraded Areas Moraines