Christopher Gomez
Kobe University, Japan | Prof.
Subject Areas: | Geomorphology, Earth Surface Processes |
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ABSTRACT:
Shapefiles in JGD2000 UTM53 of:
(1) the catchment area of the Sumiyoshigawa both in Kobe and in the mountain area as a polygon.
(2) the tributary streams and the Sumiyoshigawa river as a polyline.
The data was calculated using the SWAT tool in QGIS and it was derived from a DEM generated from LiDAR data, after vegetation cleaning.
ABSTRACT:
This dataset is composed of 4 moisture and temperature sensors located in forested environment in the Sumiyoshigawa catchment (mid-catchment). The original dataset only shows 9 - 11 June 2021, but it will be updated as further data is collected. The exact location of the sensors is in a GIS shapefile that goes with the XLS files. Hobo 3 is by a wadeable river (3 m wide and about 20 cm deep at mode-flow), and the height is 25 from the ground.
Hobo 4 is 1.5 m high on a tree stem.
Hobo 2 and 5 are at the same location. Hobo 2 is located just above the ground, the lower part of the sensor touches the ground, and Hobo 5 is 1 m above the ground, on a tree stem.
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ABSTRACT:
This dataset is composed of 4 moisture and temperature sensors located in forested environment in the Sumiyoshigawa catchment (mid-catchment). The original dataset only shows 9 - 11 June 2021, but it will be updated as further data is collected. The exact location of the sensors is in a GIS shapefile that goes with the XLS files. Hobo 3 is by a wadeable river (3 m wide and about 20 cm deep at mode-flow), and the height is 25 from the ground.
Hobo 4 is 1.5 m high on a tree stem.
Hobo 2 and 5 are at the same location. Hobo 2 is located just above the ground, the lower part of the sensor touches the ground, and Hobo 5 is 1 m above the ground, on a tree stem.
ABSTRACT:
Shapefiles in JGD2000 UTM53 of:
(1) the catchment area of the Sumiyoshigawa both in Kobe and in the mountain area as a polygon.
(2) the tributary streams and the Sumiyoshigawa river as a polyline.
The data was calculated using the SWAT tool in QGIS and it was derived from a DEM generated from LiDAR data, after vegetation cleaning.