Monitoring of Vegetation Drought Index in Laibin City Based on Landsat Multispectral Remote Sensing Data
Source abstract
Abstract
Due to the impact of global warming, drought has caused serious damage to China’s ecological environment and social status. This article selects Laibin City in the Guangxi Zhuang Autonomous Region as the research area, utilizing multispectral remote sensing data as the data source and Landsat series image data for relevant preprocessing. It calculates the monthly normalized vegetation index (NDVI) and surface temperature (LST) data for Laibin City. Based on the ecological environment and surface coverage conditions of the research area, the ratio vegetation index (RVI), normalized vegetation moisture index (NDWI), temperature vegetation drought index (TVDI), and conditional vegetation temperature drought index (VTCI) were selected to calculate and invert the drought monitoring results of Laibin City. The drought monitoring results were obtained and overlaid with the vegetation area map to generate the vegetation drought monitoring results of Laibin City. Based on the climate, geography, and ecological characteristics of the monitored area in Laibin City, a specific analysis will be conducted to develop an appropriate TVDI index drought level, and generate vegetation drought level result maps for Laibin City in 2021, 2022, and 2023. Then, a detailed analysis of the vegetation drought situation in Laibin City is conducted according to time and space. Among them, in the past three years, the vegetation areas in Laibin City have experienced drought seasons mostly in summer and autumn. The interannual drought is mainly mild drought, and the proportion of areas with mild drought shows a relatively stable trend. In conclusion, TVDI proves to be a valuable tool for monitoring vegetation drought in Laibin City, offering insights for efficient water resource management strategies.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Remote Sensing and Land Use · Environmental Changes in China
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automation, Guangxi University of Science and Technology, Liuzhou 545006, China
Guangxi Collaborative Innovation Centre for Earthmoving Machinery, Guangxi University of Science and Technology, Liuzhou 545006, China
School of Medicine, Guangxi University of Science and Technology, Liuzhou 545006, China
School of Civil Engineering and Architecture, Guangxi University of Science and Technology, Liuzhou 545006, China
Key Laboratory of Disaster Prevention & Mitigation and Prestress Technology of Guangxi Colleges and Universities, Liuzhou 545006, China
School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
China Water Resources Pearl River Planning Surveying & Designing Co., Ltd., Guangzhou 510610, China
Funding
Guangxi Key Research and Development Program · Central guidance local science and technology development fund projects · Open Project Fund for Key Laboratory of Disaster Prevention & Mitigation and Prestress Technology of Guangxi Colleges and Universities
References (33)
Show source-provided references
1. A review of drought concepts10.1016/j.jhydrol.2010.07.012 ↗
2. Understanding the complex impacts of drought: A key to enhancing drought mitigation and preparedness10.1007/s11269-006-9076-5 ↗
3. Monitoring, Early Warning, and Disaster Damage Assessment of Agricultural Drought in China
4. McKee, T., Doesken, N., and Kleist, J. (1993, January 17–22). The Relationship of Drought Frequency and Duration to Time Scales. Proceedings of the 8th Conference on Applied Climatology, Anaheim, CA, USA.
5. A multiscalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index10.1175/2009JCLI2909.1 ↗
6. Spatial and temporal characterisation of summer maize growing season drought in Yunnan Province based on SPEI
7. Research on agricultural drought monitoring methods
8. Pearson, R.L., and Miller, L.D. (1972). Remote Mapping of Standing Crop Biomass for Estimation of the Productivity of the Shortgrass Prairie, Pawnee National Grasslands, Colorado, CABI Digital Library.
9. Rouse, J.W., Haas, R.H., Deering, D., Schell, J., and Harlan, J.C. (1974). Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation, NASA. Technical Report.
10. Application of vegetation index and brightness temperature for drought detection10.1016/0273-1177(95)00079-T ↗
11. Optimization of the antioxidant polyphenolic compounds extraction of yellow passion fruit seeds (Passiflora edulis Sims) by response surface methodology10.1007/s13197-017-2813-3 ↗
12. Temporal and spatial patterns in vegetation and atmospheric properties from AVIRIS10.1016/S0034-4257(97)00092-8 ↗
13. Response of crop water indices to soil wetness and vegetation water content10.1016/j.asr.2022.11.019 ↗
14. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space10.1016/S0034-4257(96)00067-3 ↗
15. A method for remote sensing monitoring of canopy moisture in fully covered vegetation: Shortwave infrared vertical water loss index10.1007/s11425-007-0067-7 ↗
16. Construction and application of agricultural drought monitoring model based on multi-source remote sensing data
17. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status10.1016/S0034-4257(01)00274-7 ↗
18. Application research on summer soil moisture monitoring model in eastern agricultural areas of Qinghai Province based on Suomi NPP/VIIRS data
19. Evaluation of temperature vegetation dryness index on drought monitoring over Eurasia10.1109/ACCESS.2020.2972271 ↗
20. Identifying the spatio-temporal pattern of drought characteristics and its constraint factors in the Yellow River Basin10.1016/j.ecolind.2023.110753 ↗
21. Conditional Vegetation Temperature Index and Its Application in Drought Monitoring
22. Research on Drought Prediction of Summer Corn Growth Season Based on Conditional Vegetation Temperature Index
23. Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data10.1016/j.rse.2013.02.023 ↗
24. Response of sugarcane growth to meteorological drought in Laibin City, Guangxi based on DSSAT Canegro model
25. Research on the Relationship between Multiscale Meteorological Drought and Soil Relative Humidity
26. Fan, X., Chen, L., Xu, X., Yan, C., Fan, J., and Li, X. (2023). Land Cover Classification of Remote Sensing Images Based on Hierarchical Convolutional Recurrent Neural Network. Forests, 14.10.3390/f14091881 ↗
27. Application of Temperature Vegetation Drought Index (TVDI) in Agricultural Drought Monitoring
28. Research on National Drought Monitoring Using Temperature Vegetation Drought Index (TVDI)
29. Applicability analysis of remote sensing drought index in drought monitoring of apples in Luochuan
30. Ecological drought monitoring of vegetation growth season in Inner Mongolia based on nuclear temperature vegetation drought index
31. Research on soil moisture content inversion in arid areas based on Landsat-8 imagery
32. Estimation of soil moisture from Ts-EVI feature space
33. Estimating soil moisture using Temperature–Vegetation Dryness Index (TVDI) in the Huang-huai-hai (HHH) plain10.1080/01431160903527421 ↗