A5100329897- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Soil Moisture and Remote Sensing
- Precipitation Measurement and Analysis
- Climate change and permafrost
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Climate variability and models
- Hydrology and Drought Analysis
- Remote-Sensing Image Classification
- Plant Water Relations and Carbon Dynamics
- Advanced Image Fusion Techniques
- Automated Road and Building Extraction
- Prenatal Screening and Diagnostics
- Meteorological Phenomena and Simulations
- Hydrology and Sediment Transport Processes
- Spectroscopy and Chemometric Analyses
- Leaf Properties and Growth Measurement
- Water resources management and optimization
- SARS-CoV-2 and COVID-19 Research
- Hydrological Forecasting Using AI
- Orthopedic Infections and Treatments
- Laser and Thermal Forming Techniques
Aerospace Information Research Institute
2020-2024
Chinese Academy of Sciences
2012-2024
State Key Laboratory of Remote Sensing Science
2018-2024
Peking University
2007-2024
Peking University People's Hospital
2024
Peking University Third Hospital
2022-2023
Chuzhou University
2023
University of Cincinnati
2017-2022
Beihang University
2022
Ministry of Education of the People's Republic of China
2022
Abstract The Kissimmee River Basin (Florida, USA) underwent river channelization in the 1960s and subsequent restoration 1990s, revealing a shift management emphasis from flood protection to wetland health. In this paper, is hypothesized result changing human values preferences, power differential between more numerous affluent upstream urban residents (who prioritize restoration) downstream rural protection). We develop conceptual sociohydrologic model simulate interactions community...
Abstract Stylized sociohydrological models have mainly used social memory aspects such as community awareness or sensitivity to connect hydrologic change and response. However, alone does not satisfactorily capture the details of how human behavior is translated into collective action for water resources governance. Nor it only mechanism by which two‐way feedbacks sociohydrology can be operationalized. This study contributes toward bridging this gap developing a model flood resilience that...
Man-made reservoirs are key components of terrestrial hydrological systems. Identifying the location and number is premise for studying impact human activities on water resources environmental changes. While complete bottom-up censuses can provide a comprehensive view reservoir landscape, they time-consuming laborious thus infeasible global scale. Moreover, it challenging to distinguish man-made from natural lakes in remote sensing images. This study proposes convolutional neural network...
Surface soil moisture (SM) plays an essential role in the water and energy balance between land surface atmosphere. Low spatio-temporal resolution, about 25–40 km 2–3 days, of commonly used global microwave SM products limits their application at regional scales. In this study, we developed algorithm to improve resolution using multi-source remote sensing data a machine-learning model named General Regression Neural Network (GRNN). First, six high spatial input variables, including Land...
The Earth's water cycle involves energy exchange and mass movement in the hydrosphere thus sustains dynamic balance of global hydrologic cycle. All variables on Earth are closely interconnected with each other through process circulation. Observing, understanding predicting storage, movement, quality remains a grand challenge for contemporary science technology, especially researches across different spatio-temporal scales. remote sensing observing platform has unique advantage acquiring...
Surface soil moisture is a key variable in the exchange of water and energy between land surface atmosphere, critical to meteorology, hydrology, ecology. The Tibetan Plateau (TP), known as "The third pole world" "Asia's towers", exerts huge influences on sensitive global climates. In this situation, longer time series can provide sufficient information understand role TP. This paper presents first comprehensive dataset (2002-2015) spatio-temporal continuous at 0.25° resolution, based...
Irrigation is critical to agricultural production in arid and semiarid regions, it imperative map high-resolution irrigated area improve water productivity. This study proposes a field-scale (30-m resolution) mapping method based on soil moisture change detection using remote sensing data only. First, normalized obtained the optical trapezoid model (OPTRAM) then converted content. Next, individual irrigation events are identified time series of content threshold detection. Finally,...
Extensive studies have highlighted the roles of rainfall, impervious surfaces, and drainage systems in urban pluvial flooding, whereas topographic control has received limited attention. This study proposes a depression-based index, Topographic Control Index (TCI), to quantify function topography flooding. The TCI depression is derived within its catchment, multiplying catchment area with slope, then dividing by ponding volume depression. A case demonstrated Guangzhou, China, using 0.5...
Temporally continuous daily actual evapotranspiration (ET) data play a critical role in water resource management arid areas. As typical remotely sensed land surface temperature (LST)-based ET model, the temperature-vegetation index (Ts-VI) triangle model provides direct monitoring of ET, but these estimates are temporally discontinuous due to cloud contamination. In this work, we present gap-filling algorithm (TSVI_DNN) using deep neural network (DNN) with Ts-VI obtain at regional scale....
Land-surface temperature (LST) plays a key role in the physical processes of surface energy and water balance from local through global scales. The widely used one kilometre resolution daily Moderate Resolution Imaging Spectroradiometer (MODIS) LST product has missing values due to influence clouds. Therefore, large number clear-sky reconstruction methods have been developed obtain spatially continuous datasets. However, is theoretical value that often an overestimate real value. In fact,...
Despite the well-known design principles of vascular systems, it is unclear whether arterial tree obeys some scaling constraints during normal growth and ageing in a given species. Based on micro-computed tomography measurements coronary trees mice at different ages (one week to more than eight months), we show constant exponent 3/4, but age-dependent coefficients length–volume law ( L c crown length, V volume, K coefficient) ageing. The 3/4 represents self-similar fractal-like branching...
Satellite-derived rugged land surface temperature (LST) is an important parameter indicating the status of Earth’s energy budget and its seasonal/temporal dynamic change. However, existing LST products from areas are more prone to error when supporting applications in mountainous Earth processes that occur at high spatial temporal resolutions. This research aimed develop a method for generating with resolution by using improved ensemble model combining three regressors, including random...
The Three Gorges Project along the Yangtze River in China, as one of biggest hydropower-complex projects world, plays a significant role economic development area even whole nation. An accurate and reliable flood forecast modeling system is importance for control, warning, operation larger reservoirs. Kalman filter coupling with hydrological models or hydraulic efficient methods to adjust real-time series reducing errors from model structure, input data, calibrated parameters. However, time...
In 2002 and 2020–2022, KH-9 HEXAGON mapping camera system (MCS) panoramic (PCS) images were made available to the public, respectively. Although great efforts have been by scientific community develop applications that utilize images, little attention has paid de-noising contrast enhancement of these particularly over urban landscapes. This paper focuses on developing a pipeline for MCS PCS regions. The proposed approach employs first wavelet transform trained using suite 'degree...