A5100738063- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Microbial Community Ecology and Physiology
- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Remote Sensing and Land Use
- Genomics and Phylogenetic Studies
- Soil and Unsaturated Flow
- Climate variability and models
- Soil Moisture and Remote Sensing
- Species Distribution and Climate Change
- RNA Research and Splicing
- Mycorrhizal Fungi and Plant Interactions
- Physiological and biochemical adaptations
- Thermal Radiation and Cooling Technologies
- Soil Geostatistics and Mapping
- Numerical methods in engineering
- Fluid Dynamics Simulations and Interactions
- Remote Sensing and LiDAR Applications
- Plant biochemistry and biosynthesis
- Forest Ecology and Biodiversity Studies
- High-Velocity Impact and Material Behavior
- Solar Energy Systems and Technologies
- Heat shock proteins research
- Gut microbiota and health
Inner Mongolia Agricultural University
2024
Chinese Academy of Sciences
2016-2024
Xinjiang Institute of Ecology and Geography
2024
Sun Yat-sen University
2024
Fujian Normal University
2020-2022
Guizhou University
2021
ABSTRACT This study mainly focuses on the effects of uncertainty in land surface information mesoscale numerical simulation. The Weather Research and Forecasting ( WRF ) model was used to simulate meteorological fields over China at a spatial resolution 10 km during 2006. Near‐surface temperature precipitation values obtained from were evaluated using site observations. accurate updated information, including Shuttle Radar Topography Mission SRTM data, Moderate imaging spectroradiometer...
Urban vegetation has important impacts on urban heat island, human living environments and even quality of life. The areal increase great contribution in achieving Sustainable Development Goals (SDGs) United Nations. It is needed to accurately extract different types using high spatial resolution images, but the limitation remotely sensed data complexity landscapes make it challenging. This research aims explore integration multispectral stereo imagery with for classification landscape East...
Tree species distribution is valuable for forest resource management. However, it a challenge to classify tree in subtropical regions due complex landscapes and limitations of remote sensing data. The objective this study was propose modified hierarchy-based classifier (MHBC) by optimizing the classification structures variable selection method. Major steps create an MHBC include automatic determination based on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll">...
Abstract This article investigated the effect of soil texture, i.e. 5‐min Food and Agriculture Organization texture (ST FAO ) 30' Harmonized World Soil Database HWSD ), hydraulic parameters, US Department parameters (SP China CH on Weather Research Forecasting (WRF) model simulation in summer eastern China. Near‐surface meteorological fields from 365 automatic weather stations were used to evaluate performance WRF. Obvious differences between two datasets parameter found. The simulated 2‐m...
Tree species distribution mapping using remotely sensed data has long been an important research area. However, previous studies have rarely established a comprehensive and efficient classification procedure to obtain accurate result. This study proposes hierarchical with optimized node variables thresholds classify tree based on high spatial resolution satellite imagery. A structure consisting of parent leaf nodes was designed user experience visual interpretation. Spectral, textural,...
Accurate identification of desert vegetation dynamics in arid regions is challenging because its complex composition grass species, obscure boundary with non-desert vegetation, and high sensitiveness to climatic variations. This study examined the ability optimized multi-endmember spectral mixture analysis (MESMA) for monitoring degradation, recovery, greening a dryland basin Northwest China using Landsat time series data from 1990s 2016. Eight modeled endmember fractions were generated best...
Abstract Aims Degradation of alpine meadows on the Qinghai-Tibet Plateau is a major issue affecting both ecology and economy. Microorganisms play an important role in soil nutrient cycling regulation ecosystem function. This study aimed to investigate species composition diversity microbial communities, understand response communities changes physicochemical properties resulting from meadow degradation. Methods In this study, bacterial fungal degradation gradient were sequenced by...