This data includes the original photos of roughness measurement at each sampling point in agile sample 1 (A1), agile sample 2 (A2), agile sample 3 (A3), agile sample 1 (L1), agile sample 2 (L2), agile sample 3 (L3), agile sample 4 (L4), agile sample 5 (L5) and agile sample 6 (L6) in the hydrological test in the upstream cold region, And the calculation results of surface height standard deviation (CM) and correlation length (CM).
Each sampling point is measured once in north-south direction and east-west direction respectively. The roughness plate is 110cm long and the distance between measurement points is 1cm. Argyle quadrat is 3grid in the pre-test period × 3grid, extended to 4grid during the enhanced test period × 4grid, 30m for each grid × 30m; The A'rou belt is north-south, and the spacing of sampling points on the sample belt is 100m. The photo naming rules are as follows. Taking a3-1ew as an example, it represents the East-West roughness plate measurement photo of No. 1 sampling point in flexible quadrat 3 (A3). This data can provide a basic ground data set for the development and verification of microwave remote sensing algorithms.
The roughness data is collected by digital photography, and then the top of each spoke in the photo and the four corners of the board are manually digitally sampled under ArcView software to obtain the image coordinate value. After geometric correction, the height of each spoke is calculated, and then the surface height standard deviation and surface correlation length are calculated according to the formula. The calculation formula is shown in pages 234-236, Volume II, microwave remote sensing. In the roughness data, the first is the sample name, and then the data body includes 4 columns (number, file name, standard deviation and correlation length). Each file name, i.e. TXT file, corresponds to a sampling photo, and the standard deviation (CM) and correlation length (CM) represent the roughness. This is followed by the length of 101 spokes in each photo, which belongs to the intermediate result to check and correct
collect time | 2008/04/06 - 2008/04/08 |
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collect place | Heihe River Basin, upstream cold region, hydrological test area |
data size | 685.1 MiB |
data format | JPG |
Coordinate system | WGS84 |
Each sampling point is measured once in north-south direction and east-west direction respectively. The roughness plate is 110cm long and the distance between measurement points is 1cm. Argyle quadrat is 3grid in the pre-test period × 3grid, extended to 4grid during the enhanced test period × 4grid, 30m for each grid × 30m; The A'rou belt is north-south, and the spacing of sampling points on the sample belt is 100m. The photo naming rules are as follows. Taking a3-1ew as an example, it represents the East-West roughness plate measurement photo of No. 1 sampling point in flexible quadrat 3 (A3). This data can provide a basic ground data set for the development and verification of microwave remote sensing algorithms
The roughness data is collected by digital photography, and then the top of each spoke in the photo and the four corners of the board are manually digitally sampled under ArcView software to obtain the image coordinate value. After geometric correction, the height of each spoke is calculated, and then the surface height standard deviation and surface correlation length are calculated according to the formula. The calculation formula is shown in pages 234-236, Volume II, microwave remote sensing.
In the roughness data, the first is the sample name, and then the data body includes 4 columns (number, file name, standard deviation and correlation length). Each file name, i.e. TXT file, corresponds to a sampling photo, and the standard deviation (CM) and correlation length (CM) represent the roughness. This is followed by the length of 101 spokes in each photo, which belongs to the intermediate result to check and correct
Good data quality
# | title | file size |
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1 | _ncdc_meta_.json | 6.9 KiB |
2 | 黑河综合遥感联合试验:阿柔加密观测区地表粗糙度数据集.zip | 685.1 MiB |
Heihe River Basin standard deviation of surface height surface roughness data geodesy
Heihe River Joint observation ARU intensive observation area Heihe River Basin
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