- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Hydrology and Drought Analysis
- Solar Radiation and Photovoltaics
- Tree-ring climate responses
- Soil Moisture and Remote Sensing
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Watershed Management Studies
- Urban Heat Island Mitigation
- Meteorological Phenomena and Simulations
- Ecology and Vegetation Dynamics Studies
- Auditing, Earnings Management, Governance
- Fire effects on ecosystems
- Species Distribution and Climate Change
- Remote Sensing and LiDAR Applications
- Microbial Metabolites in Food Biotechnology
- Environmental Changes in China
- Freezing and Crystallization Processes
- Fire dynamics and safety research
- Fire Detection and Safety Systems
- Corporate Finance and Governance
- Water Quality Monitoring Technologies
- Remote Sensing and Land Use
Beijing Normal University
2017-2025
Xi'an University of Technology
2023
Inner Mongolia University of Finance and Economics
2019-2023
China Meteorological Administration
2021
Xinjiang Agricultural University
2014-2019
State Key Laboratory of Remote Sensing Science
2017-2019
Inner Mongolia Agricultural University
2018
Abstract Following the progress of satellite data assimilation in 1990s, combination meteorological satellites and numerical models has changed way scientists understand earth. With evolution weather prediction earth system models, will play a more important role sciences future. As part space-based infrastructure, Fengyun (FY) have contributed to science sustainability studies through an open policy stable quality since first launch FY-1A 1988. The capability monitoring was greatly enhanced...
ABSTRACT This study examines whether the disclosure of Key Audit Matters (KAMs) has a peer effect within an industry. Using sample China‐listed firms from 2017 to 2022, we find significant industry‐specific in KAM behavior, which remains consistent across various robustness tests. The is more substantial when corporate market competition fierce. Specifically, cut‐throat leads higher auditing risk for auditors who have alleviate by imitating behavior their peers same industry, thereby leading...
Abstract The agricultural pastoral ecotone of Northern China (APENC), as a fragile ecological zone, has experienced dramatic land use/land cover changes (LULCC) owing to intensive human disturbances. understanding the impacts LULCC on climate, especially diurnal temperature range (DTR), is not sufficient in this region. spatio‐temporal processes and its DTR were quantitatively analyzed, using Terra/Aqua MODIS data (MYD11A2 MCD12Q1, 2003–2013), premise eliminating or weakening effects...
Terrestrial latent heat flux (LE) is a key component of the global terrestrial water, energy, and carbon exchanges. Accurate estimation LE from moderate resolution imaging spectroradiometer (MODIS) data remains major challenge. In this study, we estimated daily for different plant functional types (PFTs) across North America using three machine learning algorithms: artificial neural network (ANN); support vector machines (SVM); and, multivariate adaptive regression spline (MARS) driven by...
Vegetation in arid desert areas plays an extremely important role maintaining biodiversity and inhibiting desertification. Quantitative understanding of vegetation response to groundwater is essential priming drought prevention mitigation, which a topic that attracting considerable attention. However, previous studies have rarely assessed the from probabilistic or stoichiometric chemical perspective. To address this question, highly sensitive copula joint distribution enhanced index (EVI)...
Abstract To curb land degradation, a series of ecological restoration projects have been carried out since 1999, leading to dramatic cover change (LCC) in the agricultural pastoral ecotone northern China (APENC). date, there is still lack timely and accurate (LC) information for management assessment actions. This paper presents LC mapping scheme map annual based on dynamic time warping (DTW) approach time‐series MODIS‐NDVI product APENC. The DTW was optimized firstly vegetation phenology...
Many existing satellite evapotranspiration (ET)-based drought indices have characterized regional condition successfully, but the relatively short time span of ET products limits their use in long-term climatological assessment. In this study, we assess Evaporative Drought Index (EDI) as a monitoring indicator over Northeast China through retrospective comparison with drought-related indicators. After verifying its utility for detecting documented events and impacts on crop production, apply...
Evapotranspiration (ET) is a critical process for the climate system and water cycles. However, spatiotemporal variations in terrestrial ET over Northeast China past three decades calculated from sparse meteorological point-based data remain large uncertain. In this paper, recently proposed modified satellite-based Priestley–Taylor (MS–PT) algorithm was applied to estimate of during 1982–2010. Validation results show that square correlation coefficients (R2) six flux tower sites varies 0.55...
Terrestrial biophysical variables play an essential role in quantifying the amount of energy budget, water cycle, and carbon sink over Three-River Headwaters Region China (TRHR). However, direct field observations are missing this region, few studies have focused on long-term spatiotemporal variations terrestrial variables. In study, we evaluated dynamics including meteorological variables, vegetation, evapotranspiration (ET) TRHR, analyzed response vegetation ET to climate change period...
Vegetation phenology is one of the most sensitive indicators to understanding terrestrial ecosystem status and change. However, few studies have been conducted reveal vegetation variation characteristics over past two decades, especially under background global warming hiatus since 1998. The agricultural pastoral ecotone northern China (APENC) an ideal place analyze land surface (LSP) variation. Therefore, spatiotemporal patterns LSP were quantitatively analyzed at regional, basin pixel...
Inner Mongolia, as a fragile ecological zone in northern China, is prone to severe fires due natural forces and intensive human disturbances. The development of fire risk assessment system at the finer spatial scale not sufficient this region. In study, we obtained data burned areas hotspots numbers for Mongolia from Terra/Aqua Moderate-resolution Imaging Spectroradiometer (MCD45A1 MOD14A1/MYD14A1, 2002~2016). These maps were used determine temporal variability, well interactions with...