Landsat-based continuous monthly 30m LAI Dataset in Qilian mountain area in 2021 (V1.0)

Leaf Area Index (LAI) is defined as half of the total Leaf Area within the unit projected surface Area, and is one of the core parameters used to describe vegetation. LAI controls many biological and physical processes of vegetation, such as photosynthesis, respiration, transpiration, carbon cycle and precipitation interception, and meanwhile provides quantitative information for the initial energy exchange on the surface of vegetation canopy. LAI is a very important parameter to study the structure and function of vegetation ecosystem. This data set includes the monthly synthesis of 30m LAI products in Qilian mountain area in 2021. Max value composition (MVC) method was used to synthesize monthly LAI products on the surface using the reflectivity data of Landsat 8 and sentinel 2 channels from Red and NIR channels.

0 2022-06-21

Landsat surface reflectance products over the Tibetan Plateau (1980s-2019)

The dataset is the Landsat surface reflectance products from 1980s to 2019 over the Tibetan Plateau, it is the key input parameter of many surface geophysical parameters (such as leaf area index, chlorophyll and biomass). The dataset is retrieved based on Landsat level 4 products from China satellite remote sensing ground station, and it is retrived by using the atmospheric correction based on 6S model and BRDF correction model based on C-factor .The RMSE of geometric correction is less than 12m and the RMSD of surface reflectance is less than 5%. And the corresponding production of quality identification documents (QA) is also generated to identify the cloud, ice and snow.The Landsat surface reflectance play an important role in forest, water resources, climate change.

0 2022-04-18

Continuous observation data set of leaf area index (based on hemispheric image) in Zhangye City (2019-2021)

Leaf area index is an important structural parameter of ecosystem, which is used to reflect the number of plant leaves, changes in canopy structure, life vitality of plant community and its environmental effects, provide structured quantitative information for the description of material and energy exchange on the surface of plant canopy, and balance the energy of carbon accumulation, vegetation productivity and interaction between soil, plant and atmosphere in ecosystem, Vegetation remote sensing plays an important role. The data comes from the distributed leaf area index instrument independently developed by the project (based on hemispheric image), which takes hemispheric images of forest canopy at fixed time, fixed point and from bottom to top, and uploads them through wireless network. This data acquisition is the original hemispherical image, which needs further processing to calculate the leaf area index, which can be processed by hemiview and other software.

0 2021-11-01

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

Dataset of ecological survey in the urbanized area of Tibetan Plateau (2019-2020)

This dataset includes photosynthetic parameters and leaf area index of major vegetation types in the urbanized area of Tibetan Plateau (Huangshui river basin, Heihe river basin and major towns on the Tibetan Plateau). 1) Objectives The ecological survey data can be used for the parameterization and validation of ecohydrological models in the urbanized areas of the Tibetan Plateau. 2) Instrument of the observation: LI-6800 Portable Photosynthesis System and LAI-2200 Plant Canopy Analyzer 3) Time and sites of observations: The measurements were conducted in the Heihe River Basin from July to August in 2019, and in the Huangshui River Basin and key urban areas on the Tibetan Plateau from July to August in 2020. 4) Measured parameters and data processing Considering the needs of the ecohydrological models, we selected 12 main indexes from the original data measured by LI-6800 and LAI-2200, such as E: evapotranspiration rate (mol m⁻² s⁻¹), A: net photosynthesis rate (µmol m⁻² s⁻¹), Ci: intercellular CO2 concentration (µmol mol⁻¹). 5) Data storage The dataset was stored in Excel format, other ancillary data include the longitude and latitude of sample site and the main vegetation types, etc.

0 2021-05-21