Digital Heihe

Remote sensing experimental dataset of dayokou sub basin in Heihe River (2004)

On August 6, 2004, the institute of cold and drought, Chinese academy of sciences, organized a remote sensing experiment in the upper reaches of the heihe river basin, which obtained soil survey data of 14 sections, DEM of 1:500 scale in the drainage ditch basin, spectral data of typical features and synchronous ground observation data of dapingding TM and QuickBird satellite.It mainly includes:

1) spectral measurement data of typical ground objects

The data mainly includes in continental river basin in linze county comprehensive research station near the station (hereinafter referred to as linze) of elaeagnus angustifolia, two poplars, tamarisk, bark, ephedra, sand, alfalfa, corn, cotton and salinization land spectra and dew ditch valley concept-people mei, grass, moss, alpine meadow grass, sword leaf thorns son, the spectra of soil and rock.

2) soil profile survey data

Valley in line according to the altitude and vegetation types were set up 12 soil profile, and also in front of the row of dew ditch forest weather stations and linze weather station set up a soil profile 1, 14 were measured profile of soil moisture content, bulk density, adhering sand content and soil spectrum, dew ditch forest top weather stations and linze profile is measuring the thermal conductivity of soil and water parameters.

3) field measurement data of biophysical parameters of typical ground objects

Standing near the corn, cotton, including linze small pine, alfalfa, and leaf area index measurement data of ephedra row dew in different heights with leaf photosynthesis, leaf area index data and vegetation features data (photosynthetic rate, stomatal conductance, intercellular CO2 concentration, leaf transpiration rate, leaf temperature) and the corresponding environmental factor data (air temperature, air relative humidity and atmospheric CO2 concentration, air, water content, atmospheric pressure, solar total radiation, photosynthetic active radiation).

4) ground synchronization test of remote sensing by large flat-topped satellite

The simultaneous observation experiment of TM and QuickBird satellite was carried out in a relatively flat grass area (big flat roof) beside the drainage ditch watershed.On July 27, 2004, spectra, above-ground biomass and leaf area were measured at intervals of 15 meters in a 150m×150m quadrangular at a large flat roof.

Copyright & License

File name: files are stored in folders with data types and observations, including:DEM_Pailugou (Pailugou DEM), Field_Notebooks (field observations), Hydrological_Data (hydrological data), LAI (leaf area index), Location_of_Sampling_Site (sampling site location information), Satellite_Images (remote sensing images), Soil_Profile_Data (soil profile data), Spectrum (spectral data).</p><p>Data reading: data contains a variety of data format vector SHP, raster tiff, can be opened and read with Arcgis, Envi and other remote sensing software, text format TXT available text program (such as notepad) open, form XLS, document doc can be read by Office, Wps and other Office software.

Data Citations
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Related Literatures:

1. Li Xin, Cheng Guodong, Wu Lizong. Digital Heihe River Basin. 1 ： An Information Infrastructure for the Watershed Science. Advances in Earth Science, 2010, 25(3): 297-305.(View Details)

Cite as:

Ran, Y. (2013). < b>Remote sensing experimental dataset of dayokou sub basin in Heihe River (2004)</b>2013. doi: 10.3972/heihe.013.2013.db. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.LI Xin, WU Lizong, MA Mingguo, GE Yingchun, RAN Youhua, WANG Liangxu, NAN Zhuotong （ Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China） (View Details )

2.Li, H. Y. , & Peng, H. C. . (2012). Estimate soil organic matter content in the heihe river basin using hyperspectral method. Key Engineering Materials, 500, 838-842. (View Details )

3.Li, X., Li, X.W., Li, Z.Y., Ma, M.G., Wang, J., Xiao, Q., Liu, Q., Che, T., Chen, E.X., Yan, G.J., Hu, Z.Y., Zhang, L.X., Chu, R.Z., Su, P.X., Liu, Q.H., Liu, S.M., Wang, J.D., Niu, Z., Chen, Y., Jin, R., Wang, W.Z., Ran, Y.H., Xin, X.Z., Ren, H.Z. (2009). Watershed Allied Telemetry Experimental Research. Journal of Geophysical Research, 114(D22103), doi:10.1029/2008JD011590. (View Details )

4.Li, X., Nan, Z.T., Cheng, G.D., Ding, Y.J., Wu, L.Z., Wang, L.X., Wang, J., Ran, Y.H., Li, H.X., Pan, X.D., & Zhu, Z.M. (2011). Toward an improved data stewardship and service for environmental and ecological science data in west China. International Journal of Digital Earth, 4(4): 347-359. DOI: 10.1080/17538947.2011.558123. (View Details |Download)

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