A5030157758- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Forest ecology and management
- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Bamboo properties and applications
- Solar Radiation and Photovoltaics
- Forest Management and Policy
- Horticultural and Viticultural Research
- Atmospheric and Environmental Gas Dynamics
- Fire effects on ecosystems
- Chinese history and philosophy
- Water Quality Monitoring and Analysis
- Global Education and Multiculturalism
- Atmospheric aerosols and clouds
- Advanced Image Fusion Techniques
- Tourism, Volunteerism, and Development
- Environmental Changes in China
- Satellite Image Processing and Photogrammetry
- Conservation, Biodiversity, and Resource Management
- Ecology and Vegetation Dynamics Studies
- Plant responses to elevated CO2
Zhejiang A & F University
2016-2025
University of Toronto
2021
State Key Laboratory of Remote Sensing Science
2015-2019
Institute of Remote Sensing and Digital Earth
2015-2019
Beijing Normal University
2015-2019
Chinese Academy of Sciences
2015-2018
Institute of Mountain Hazards and Environment
2018
Northeast Forestry University
2016
Nanjing University
2012-2014
Bamboo forest has great potential in climate change mitigation. However, the spatiotemporal pattern of carbon storage global bamboo is still cannot be accurately estimated, because lack an accurate distribution information. In this paper, was mapped with following steps. To begin with, training samples were obtained based on investigation data, statistic and literature data. Then, a decision tree constructed for mapping by integrating Landsat 8 OLI MODIS Finally, area estimated using pixel...
GOST is a geometric-optical (GO) model for sloping terrains developed in this study based on the four-scale GO model, which simulates bidirectional reflectance distribution function (BRDF) of forest canopies flat surfaces. The considers four scales canopy architecture: tree groups, crowns, branches, and shoots. In order to make suitable terrains, mathematical description projection crowns ground has been modified consider fact that trees grow vertically rather than perpendicularly grounds....
Future land use and cover change (LUCC) simulations play an important role in providing fundamental data to reveal the carbon cycle response of forest ecosystems LUCC. Subtropical forests have great potential for sequestration, yet their future dynamics under natural human influences are unclear. Zhejiang Province China is distribution area subtropical forests. For management, it significance explore dynamic changes Zhejiang. As a popular LUCC spatial simulation model, cellular automata (CA)...
Monitoring plant phenology is vital to maintaining the global carbon balance and management under climate change. Bamboo forest an essential type in subtropical China with a strong sequestration capacity. In recent years, vegetation indices (VIs), which characterize canopy structural parameters, solar-induced chlorophyll fluorescence (SIF), indicating photosynthetic activity of vegetation, have provided new perspectives on at regional scales. However, best data sources methods for extracting...
Physically-based approaches for estimating Leaf Area Index (LAI) using remote sensing data rely on radiative transfer (RT) models. Currently, many RT models are freely available, but determining the appropriate model LAI retrieval is still problematic. This study aims to evaluate necessity of selection and propose a methodology different vegetation types. Both actual experimental observations simulations were used conduct evaluation. Each them includes needleleaf forests croplands, which...
Forest age is a crucial parameter for evaluating the state and potential of carbon sequestration in forest ecosystems. However, lack time-series will lead to an inability capture disturbance restoration history, resulting increased uncertainty estimating sinks. To address this issue, we aimed propose integrated algorithm estimation based on recovery using Zhejiang Province forests as example. Based Google Earth Engine (GEE) platform, first used random (RF) estimate 2004, then LandTrendr with...
This article explores a non-linear partial least square (NLPLS) regression method for bamboo forest carbon stock estimation based on Landsat Thematic Mapper (TM) data. Two schemes, leave-one-out (LOO) cross validation (scheme 1) and split sample 2), are used to build models. For each scheme, the NLPLS model is compared linear (LPLS) multivariant ordinary (LOLS). research indicates that an optimized mode can substantially improve accuracy of Moso (Phyllostachys heterocycla var. pubescens)...
Abstract The extensive distribution of bamboo forests in South and Southeast Asia plays an important role the global carbon budget. It is urgent task to accurately good time estimate stock within these areas. In this study, linear regression, partial least-squares (PLS) regression backpropagation artificial neural network (BP-ANN) with a Gaussian error function as activation hidden layers (Erf-BP) were used aboveground (AGC) Moso Anji, Zhejiang Province, China. Based on combined use Landsat...
A new geometric optical (GO)-radiative transfer (RT) model with a multiple scattering scheme suitable for sloping forest canopies is developed in this study. It based on Geometrical-Optical Sloping Terrains and an RT method. This overcomes the difficulty to prescribe bidirectional reflectance factors (BRFs) of shaded components (shaded foliage background) GO modeling through simulating radiation within forest. case study shows that multiply scattered depends topographic leaf area index. The...
Accurately simulating the area ratios of sunlit and shaded foliage in multiple-view angles presents a challenge developing geometric-optical (GO) model. GOST model by Fan et al.[1] proposed high computationally demanding ray tracing method on this issue. In order to relax computational restriction, new hybrid canopy reflectance GOST2 based is developed with "ray + GO" method, which used for foliage. shows explicitly physical mechanism has capability modeling slopes. The four scene components...
Landscape heterogeneity is a common natural phenomenon but seldom considered in current radiative transfer (RT) models for predicting the surface reflectance. This paper developed an analytical RT model heterogeneous Agro-Forestry scenarios (RTAF) by dividing scenario into nonboundary regions (NRs) and boundary (BRs). The scattering contribution of NRs can be estimated from scattering-by-arbitrarily-inclined-leaves-with-the-hot-spot-effect as homogeneous canopies, whereas that BRs calculated...