Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2020)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2020 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 31 to September 22, 2020. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 19 observations were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2019)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2019 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 17 to September 23, 2019, in which LAI started from June 11. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 20 observations (LAI was 15) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2018)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of field corn during the growing period in 2018 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 26 to September 26, 2018, in which LAI started from May 30. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 22 observations (LAI was 20) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2017)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2017 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 15 to September 21, 2017, in which LAI started from June 6. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 21 observations (LAI was 17) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2016)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2016 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 19 to September 5, 2016, in which LAI started from May 30. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 18 observations (LAI was 9) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Ground observation dataset of corn biomass, vegetation coverage, leaf area index and plant height at Daman station in the middle reaches of Heihe River (growth period in 2015)

This dataset is a continuous ground observation data of vegetation coverage (%), biomass (g/plant), leaf area index (LAI) and plant height (cm) of seed corn during the growing period in 2015 at Daman Station ( 38.85551N,100.37223E)in the middle reaches of the Heihe River. Ground observation was carried out in three sample plots. Biomass observation included fresh and dry aboveground biomass, fresh and dry underground biomass (fresh and dry root weight), vegetation coverage was observed by digital camera, leaf area index was observed by LAI 2200, and plant height was observed by tape measure. The observation period was from May 10 to September 21, 2015, in which LAI started from May 25. Observation parameters were observed every 5 days before July 31 and every 10 days thereafter, and a total of 21 observations (LAI was 18) were carried out during the whole growing period. The dataset can provide data basis for inversion and validation of surface vegetation parameters.

0 2021-10-26

Land Surface Albedo Dataset of Typical Stations in Middle Reaches of Heihe River Basin based on UAV Remote Sensing (2020, V1)

Surface albedo is a critical parameter in land surface energy balance. This dataset provides the monthly land surface albedo of UAV remote sensing for typical ground stations in the middle reaches of Heihe river basin during the vegetation growth stage (June to October) in 2020 (The data of Huazhaizi station in August is not available because of technical problem). The algorithm for calculating albedo is an empirical method, which was developed based on a comprehensive forward simulation dataset based on 6S model and typical spectrums. This method can effectively transform the surface reflectance to the broadband surface albedo. The method was then applied to the surface reflectance acquired by UAV multi-spectral sensor and the broadband surface albedo with a 0.2-m spatial resolution was eventually obtained.

0 2021-07-11

Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (leaf area index of Daman Superstation, 2020)

This dataset contains the LAI measurements from the Daman superstation in the middle reaches of the Heihe integrated observatory network from June 1 to September 20 in 2020. The site (100.376° E, 38.853°N) was located in the maize surface, near Zhangye city in Gansu Province. The elevation is 1556 m. There are 6 observation samples, each of which is about 30m×30m in size, and the latitude and longitude are (100.376°E, 38.853°N), (100.377° E, 38.858°N), (100.374°E, 38.855°N), (100.374°E, 38.858°N), (100.371°E, 38.854°N), (100.369°E, 38.854°N). Five sub-canopy nodes and one above-canopy node are arranged in each sample. The data is obtained from LAINet measurements; the four-steps are performed to obtain LAI: the raw data is light quantum (level 0); the daily LAI can be obtained using the software LAInet (level 1); further the invalid and null values are screened and using the 7 days moving averaged method to obtain the processed LAI (level 2); for the multi LAINet nodes observation, the averaged LAI of the nodes area is the final LAI (level 3). The released data are the post processed LAI products and stored using *.xls format. For more information, please refer to Liu et al. (2018) (for sites information), Qu et al. (2014) for data processing) in the Citation section.

0 2021-07-08

Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (phenology camera observation data set of Daman Superstation-2020)

The dataset contains the phenological camera observation data of the Daman Superstation in the midstream of Heihe integrated observatory network from January 1, 2020 to December 31, 2020. The instrument was developed and data processed by Beijing Normal University. The phenomenon camera integrates data acquisition and data transmission functions. The camera captures data by look-downward with a resolution of 1280×720. For the calculation of the phenology, firstly, the phenological index needs to be calculated according to the region of interest. Such as, the relative greenness index (GCC, Green Chromatic Coordinate, calculated by GCC=G/(R+G+B)). Then, controlling the quality of data, filling the invalid value and filtering smoothing are performed. Finally, the key phenological parameters are determined according to the growth curve fitting, such as the growth season start date, peak, growth season end, etc. This data set includes the relative greenness index (GCC) in 2020. Please refer to Liu et al. (2018) for sites information in the Citation section.

0 2021-07-08

Qilian Mountains integrated observatory network: Dataset of Heihe integrated observatory network (Cosmic-ray observation system of soil moisture of Daman Superstation, 2020)

This dataset includes data recorded by the Heihe integrated observatory network obtained from a Cosmic-ray Soil Moisture Observing System of soil moisture of Daman Superstation from January 1 to December 31, 2020. The site (100.372° E, 38.856° N) was located on a cropland (maize surface) in the Daman irrigation, which is near Zhangye city, Gansu Province. The elevation is 1556 m. The bottom of the probe was 0.5 m above the ground; the sampling interval was 1 hour. The raw COSMOS data include the following: battery (Batt, V), temperature (T, C), relative humidity (RH, %), air pressure (P, hPa), fast neutron counts (N1C, counts per hour), thermal neutron counts (N2C, counts per hour), sample time of fast neutrons (N1ET, s), and sample time of thermal neutrons (N2ET, s). The distributed data include the following variables: Date, Time, P, N1C, N1C_cor (corrected fast neutron counts) and VWC (volume soil moisture, %), which were processed as follows: 1) Data were removed and replaced by -6999 when (a) the battery voltage was less than 11.8 V, (b) the relative humidity was greater than 80% inside the probe box, (c) the counting data were not of one-hour duration and (d) neutron count differed from the previous value by more than 20%; 2) An air pressure correction was applied to the quality-controlled raw data according to the equation contained in the equipment manual; 3) After the quality control and corrections were applied, soil moisture was calculated using the equation in Zreda et al. (2012), where N0 is the neutron counts above dry soil and the other variables are fitted constants that define the shape of the calibration function. Here, the parameter N0 was calibrated using the in situ observed soil moisture by SoilNET within the footprint; 4) Based on the calibrated N0 and corrected N1C, the hourly soil moisture was computed using the equation from the equipment manual. Moreover, suspicious data were marked in red. For more information, please refer to Liu et al. (2018) (for sites information), Zhu et al. (2015) for data processing) in the Citation section.

0 2021-06-02