Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-821-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-15-821-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
14 Feb 2023
Data description paper |
| 14 Feb 2023
| 14 Feb 2023
A 250 m annual alpine grassland AGB dataset over the Qinghai–Tibet Plateau (2000–2019) in China based on in situ measurements, UAV photos, and MODIS data
Huifang Zhang
Institute of Fragile Eco-environment, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, 320 Donggang
West Road, Lanzhou 730000, China
Zhonggang Tang
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Binyao Wang
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Hongcheng Kan
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Yi Sun
Institute of Fragile Eco-environment, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Yu Qin
State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, 320 Donggang
West Road, Lanzhou 730000, China
Baoping Meng
Institute of Fragile Eco-environment, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Meng Li
Institute of Fragile Eco-environment, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Jianjun Chen
College of Geomatics and Geoinformation, Guilin University of
Technology, 12 Jiangan Road, Guilin 541004, China
Yanyan Lv
Institute of Fragile Eco-environment, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Jianguo Zhang
Institute of Fragile Eco-environment, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
Shuli Niu
Key Laboratory of Ecosystem Network Observation and Modeling,
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Institute of Fragile Eco-environment, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
School of Geographic Science, Nantong University, 999 Tongjing Road, Nantong, Jiangsu 226007, China
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Cited
19 citations as recorded by crossref.
- A 30-m annual corn residue coverage dataset from 2013 to 2021 in Northeast China Y. Dong et al. 10.1038/s41597-024-02998-7
- Aboveground Biomass Mapping and Analysis of Spatial Drivers in the Qinghai–Xizang Plateau Permafrost Zone: A Case Study of the Beilu River Basin Y. Wu et al. 10.3390/plants13050686
- Time-series simulation of alpine grassland cover using transferable stacking deep learning and multisource remote sensing data in the Google Earth Engine X. Lin et al. 10.1016/j.jag.2024.103964
- Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland A. Chen et al. 10.1016/j.rse.2024.114024
- Regional differences in the impact paths of climate on aboveground biomass in alpine grasslands across the Qinghai-Tibet Plateau P. Li et al. 10.1016/j.scitotenv.2024.174421
- Characteristics of water retention, nutrient storage, and biomass production across alpine grassland soils in the Qilian Mountains Y. Deng et al. 10.1016/j.geodrs.2023.e00721
- Spatial distribution of vegetation carbon stock among different organs over the Tibetan Plateau: on an intensive field survey W. Cai et al. 10.1007/s11676-024-01793-9
- Grassland health assessment based on indicators monitored by UAVs: a case study at a household scale Y. Luo et al. 10.3389/fpls.2023.1150859
- A rapid field crop data collection method for complexity cropping patterns using UAV and YOLOv3 H. Zhang et al. 10.1007/s11707-024-1109-y
- Unmanned Aerial Vehicle (UAV)-Based Vegetation Restoration Monitoring in Coal Waste Dumps after Reclamation H. Ren et al. 10.3390/rs16050881
- Enhancing the Performance of Unmanned Aerial Vehicle-Based Estimation of Rape Chlorophyll Content by Reducing the Impact of Crop Coverage Y. Niu et al. 10.3390/drones8100578
- A Multispectral UAV Imagery Dataset of Wheat, Soybean and Barley Crops in East Kazakhstan A. Maulit et al. 10.3390/data8050088
- Machine Learning Models Based on UAV Oblique Images Improved Above‐Ground Biomass Estimation Accuracy Across Diverse Grasslands on the Qinghai–Tibetan Plateau F. Sun et al. 10.1002/ldr.5381
- Spatial and temporal patterns of above- and below- ground biomass over the Tibet Plateau grasslands and their sensitivity to climate change Y. Wu et al. 10.1016/j.scitotenv.2024.170900
- Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method R. Yao et al. 10.1080/17538947.2023.2283492
- Interannual precipitation variability dominates the growth of alpine grassland above-ground biomass at high elevations on the Tibetan Plateau Y. Wang et al. 10.1016/j.scitotenv.2024.172745
- A spatio-temporal-spectral fusion framework for downscaling Sentinel-2 images using UAV images W. Zhang & Y. Li 10.1080/01431161.2024.2429781
- Editorial: Vegetation-based degradation and restoration on the alpine grasslands of the Tibetan plateau Y. Niu et al. 10.3389/fpls.2024.1467335
- A 250 m annual alpine grassland AGB dataset over the Qinghai–Tibet Plateau (2000–2019) in China based on in situ measurements, UAV photos, and MODIS data H. Zhang et al. 10.5194/essd-15-821-2023
17 citations as recorded by crossref.
- A 30-m annual corn residue coverage dataset from 2013 to 2021 in Northeast China Y. Dong et al. 10.1038/s41597-024-02998-7
- Aboveground Biomass Mapping and Analysis of Spatial Drivers in the Qinghai–Xizang Plateau Permafrost Zone: A Case Study of the Beilu River Basin Y. Wu et al. 10.3390/plants13050686
- Time-series simulation of alpine grassland cover using transferable stacking deep learning and multisource remote sensing data in the Google Earth Engine X. Lin et al. 10.1016/j.jag.2024.103964
- Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland A. Chen et al. 10.1016/j.rse.2024.114024
- Regional differences in the impact paths of climate on aboveground biomass in alpine grasslands across the Qinghai-Tibet Plateau P. Li et al. 10.1016/j.scitotenv.2024.174421
- Characteristics of water retention, nutrient storage, and biomass production across alpine grassland soils in the Qilian Mountains Y. Deng et al. 10.1016/j.geodrs.2023.e00721
- Spatial distribution of vegetation carbon stock among different organs over the Tibetan Plateau: on an intensive field survey W. Cai et al. 10.1007/s11676-024-01793-9
- Grassland health assessment based on indicators monitored by UAVs: a case study at a household scale Y. Luo et al. 10.3389/fpls.2023.1150859
- A rapid field crop data collection method for complexity cropping patterns using UAV and YOLOv3 H. Zhang et al. 10.1007/s11707-024-1109-y
- Unmanned Aerial Vehicle (UAV)-Based Vegetation Restoration Monitoring in Coal Waste Dumps after Reclamation H. Ren et al. 10.3390/rs16050881
- Enhancing the Performance of Unmanned Aerial Vehicle-Based Estimation of Rape Chlorophyll Content by Reducing the Impact of Crop Coverage Y. Niu et al. 10.3390/drones8100578
- A Multispectral UAV Imagery Dataset of Wheat, Soybean and Barley Crops in East Kazakhstan A. Maulit et al. 10.3390/data8050088
- Machine Learning Models Based on UAV Oblique Images Improved Above‐Ground Biomass Estimation Accuracy Across Diverse Grasslands on the Qinghai–Tibetan Plateau F. Sun et al. 10.1002/ldr.5381
- Spatial and temporal patterns of above- and below- ground biomass over the Tibet Plateau grasslands and their sensitivity to climate change Y. Wu et al. 10.1016/j.scitotenv.2024.170900
- Reconstructed NDVI and EVI datasets in China (ReVIChina) generated by a spatial-interannual reconstruction method R. Yao et al. 10.1080/17538947.2023.2283492
- Interannual precipitation variability dominates the growth of alpine grassland above-ground biomass at high elevations on the Tibetan Plateau Y. Wang et al. 10.1016/j.scitotenv.2024.172745
- A spatio-temporal-spectral fusion framework for downscaling Sentinel-2 images using UAV images W. Zhang & Y. Li 10.1080/01431161.2024.2429781
2 citations as recorded by crossref.
- Editorial: Vegetation-based degradation and restoration on the alpine grasslands of the Tibetan plateau Y. Niu et al. 10.3389/fpls.2024.1467335
- A 250 m annual alpine grassland AGB dataset over the Qinghai–Tibet Plateau (2000–2019) in China based on in situ measurements, UAV photos, and MODIS data H. Zhang et al. 10.5194/essd-15-821-2023
Latest update: 25 Dec 2024
Short summary
The accuracy of regional grassland aboveground biomass (AGB) is always limited by insufficient ground measurements and large spatial gaps with satellite pixels. This paper used more than 37 000 UAV images as bridges to successfully obtain AGB values matching MODIS pixels. The new AGB estimation model had good robustness, with an average R2 of 0.83 and RMSE of 34.13 g m2. Our new dataset provides important input parameters for understanding the Qinghai–Tibet Plateau during global climate change.
The accuracy of regional grassland aboveground biomass (AGB) is always limited by insufficient...
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