HiWATER: Dataset of ASTER fractional vegetation cover in the crop land experimental area in the middle of Heihe River Basin form May to Sep, 2012

HiWATER: Dataset of ASTER fractional vegetation cover in the crop land experimental area in the middle of Heihe River Basin form May to Sep, 2012


This data is the ASTER fractional vegetation cover in a growth cycle observed in the Yingke Oasis Crop land. Data observations began on May 30, 2012 and ended on September 12.

Original data:

1.15m resolution L1B reflectivity product of ASTER

2.Vegetation coverage data set of the artificial oasis experimental area in the middle reaches

Data processing:

1.Preprocessing of ASTER reflectance products to obtain ASTER NDVI;

2.Through the NDVI-FVC nonlinear transformation form, the ASTER NDVI and the ground measured FVC are used to obtain the conversion coefficients of NDVI to FVC at different ASTER scales.

3.Apply this coefficient to the ASTER image to obtain a vegetation coverage of 15m resolution;

4.Aggregate 15m resolution ASTER FVC to get 1km ASTER FVC product


Data Citations Data citation guideline What's data citation?
Cite as:

Ma, M., Huang, S. (2016). HiWATER: Dataset of ASTER fractional vegetation cover in the crop land experimental area in the middle of Heihe River Basin form May to Sep, 2012. National Tibetan Plateau Data Center, DOI: 10.3972/hiwater.283.2015.db. CSTR: 18406.11.hiwater.283.2015.db. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Ma Mingguo, Che Tao, Li Xin, Xiao Qing, Zhao Kai and Xin Xiaoping. A Prototype Network for Remote Sensing Validation in China. Remote Sensing, 2015, 7: 5187-5202.( View Details | Download | Bibtex)

2. Xihan Mu; Shuai Huang; Huazhong Ren; Guangjian Yan; Wanjuan Song; Gaiyan Ruan, 2015, Validating GEOV1 Fractional Vegetation Cover derived from coarse-resolution remote sensing images over croplands. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 8: 439–446.( View Details | Bibtex)

3. Song, W.J., Mu, X.H., Yan, G.J., & Huang, S. (2015). Extracting the Green Fractional Vegetation Cover from Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC), Remote Sensing, 7. 10425-10443. DOI:10.3390/rs70810425.( View Details | Bibtex)

4. Li, X., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Wang, W.Z., Hu, X.L., Xu, Z.W., Wen, J.G., Wang, L.X. (2017). A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system. Scientific Data, 4, 170083. doi:10.1038/sdata.2017.83.( View Details | Download | 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, X., Cheng, G.D., Liu, S.M., Xiao, Q., Ma, M.G., Jin, R., Che, T., Liu, Q.H., Wang, W.Z., Qi, Y., Wen, J.G., Li, H.Y., Zhu, G.F., Guo, J.W., Ran, Y.H., Wang, S.G., Zhu, Z.L., Zhou, J., Hu, X.L., & Xu, Z.W. (2013). Heihe watershed allied telemetry experimental research (hiwater): scientific objectives and experimental design. Bulletin of the American Meteorological Society, 94(8), 1145-1160. doi:10.1175/BAMS-D-12-00154.1. (View Details )

2.Li, X., Liu, S.M., Ma, M.G., Xiao, Q., Liu, Q.H., & Jin, R., et al. (2012). (2012). Hiwater:an integrated remote sensing experiment on hydrological and ecological processes in the heihe river basin. Advances in Earth Science, 27(5), 481-498. (View Details | Download )


Support Program

Heihe Watershed Allied Telemetry Experimental Research (HiWATER) (No:91125004)

Copyright & License

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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 100.40 West: 100.33
South: 38.84 North: 38.90
Details
  • File size: 61 MB
  • Views: 5,493
  • Downloads: 58
  • Access: Open Access
  • Temporal coverage: 2012-06-12 To 2012-09-25
  • Updated time: 2021-04-18
Contacts
: HUANG Shuai   MA Mingguo  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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