A5101560657- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Cryospheric studies and observations
- Plant Water Relations and Carbon Dynamics
- Atmospheric and Environmental Gas Dynamics
- Climate change and permafrost
- Urban Heat Island Mitigation
- Climate variability and models
- Atmospheric aerosols and clouds
- Land Use and Ecosystem Services
- Calibration and Measurement Techniques
- Geochemistry and Geologic Mapping
- Geophysics and Gravity Measurements
- Atmospheric chemistry and aerosols
- Solar Radiation and Photovoltaics
- Soil Moisture and Remote Sensing
- Arctic and Antarctic ice dynamics
- Environmental Changes in China
- Atmospheric Ozone and Climate
- Remote-Sensing Image Classification
- Fire effects on ecosystems
- Forest ecology and management
- Leaf Properties and Growth Measurement
- Species Distribution and Climate Change
Fujian Agriculture and Forestry University
2021
State Key Laboratory of Remote Sensing Science
2018-2020
Beijing Normal University
2018-2020
Institute of Remote Sensing and Digital Earth
2018-2020
Tianjin Municipal Education Commission
2020
University of Alabama in Huntsville
2015
Methods that link different models for investigating the retrieval of canopy biophysical/structural variables have been substantially adopted in remote sensing community. To retrieve global biophysical parameters from multiangle data, kernel-driven bidirectional reflectance distribution function (BRDF) model has widely applied to satellite observations (interpolate/extrapolate) factor (BRF) an arbitrary direction viewing and solar geometries. Such modeled BRFs, as essential information...
The kernel-driven RossThick-LiSparseReciprocal (RTLSR) bidirectional reflectance distribution function (BRDF) model has been widely used in the quantitative remote sensing community. However, performance of this is challenged when modelling optical scattering properties pure snow surfaces. Recently, two kernels have developed to improve anisotropic RTLSR framework. performances these must be assessed identify their potential applications. Therefore, we assess using various BRDF data sources....
The foliage Clumping Index (CI) is an important vegetation structure parameter that allows for the accurate separation of sunlit and shaded leaves in a canopy. CI its seasonality are critical global Leaf Area (LAI) estimating ecological modelling. However, cover snow tends to reduce reflectance anisotropy canopy thus probably influences estimates. In this paper, we investigate influence on magnitude seasonal variation retrieved from Moderate-resolution Imaging Spectroradiometer (MODIS)...
Forest-canopy height is an important parameter for the estimation of forest biomass and terrestrial carbon flux climate-change research at regional global scales. Currently, various methods combining Light Detection Ranging (LiDAR) data with auxiliary data, particularly satellite remotely sensed reflectances, have been widely used to produce spatially continuous canopy-height products. However, current in use remote sensing reflectances mainly focus on nadir view direction, while anisotropic...
The original kernel-driven bidirectional reflectance distribution function (BRDF) models were developed based on soil-vegetation systems. To further improve the ability of to characterize snow surface scattering properties, a kernel was derived from asymptotic radiative transfer (ART) model and used in BRDF framework. However, there is need evaluate influence using this albedo retrieval applications. aim study perform such an evaluation variety data. RossThick-Roujean (RTR) as framework for...
Anisotropy information from moderate-to-coarse-resolution sensors [e.g., 500-m Moderate Resolution Imaging Spectroradiometer (MODIS)] is widely applied to estimate high-resolution surface albedo. Simulated albedos using MODIS bidirectional reflectance distribution function (BRDF) parameters as prior knowledge based on the kernel-driven model are employed build and assess lookup table (LUT) of direct-estimation method, which then used directly top-of-atmosphere (TOA) data (e.g., Landsat...
The hotspot effect is a typical angular reflectance signature of vegetation canopies and contains important information for the retrieval structural parameters. To date, various analytical bidirectional distribution function (BRDF) models (e.g., PROSAIL model) has rarely been assessed by multiangular measurements with sufficient observations due to lack accurate (for field measurements) or appropriate methods airborne spaceborne measurements). In this paper, we develop method further improve...
The vertical foliage profile (VFP) and leaf area index (LAI) are critical descriptors in terrestrial ecosystem modeling. Although light detection ranging (lidar) observations have been proven to potential for deriving the VFP LAI, existing methods depend only on received waveform information sensitive additional input parameters, such as ratio of canopy ground reflectance. In this study, we proposed a new method retrieving forest LAI from Ice, Cloud land Elevation Satellite (ICESat)...
Surface albedo is closely related to the Earth's energy budget and usually estimated by integrating remotely sensed bidirectional reflectance distribution function (BRDF) data based on widely used Ross–Li kernel-driven models. However, for large solar zenith angles (i.e., SZAs > 70°), estimation using operational algorithm of Moderate Resolution Imaging Spectroradiometer (MODIS), i.e., RossThick-LiSparseReciprocal (RTLSR), not recommended because it reported somewhat underestimate black-sky...
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It has been a hot study field to extract forest structure parameter using Airborne LiDAR. Since footprints of LiDAR data are discontinuously distributed with small coverage, therefore, it is impossible obtain the information continuous region alone. The MODIS BRDF shape indicators contain regarding 3-D and have possibility retrieve structural parameters forest. In this study, we select Howland Forest, Harvard La Selva Forest Bartlett as experimental areas, aim construct canopy height...
聚集指数(Clumping Index, CI)是植被冠层的一个重要结构参数,对植被冠层的辐射截获,以及全球碳、水循环的研究均有重要作用。现有星载CI产品的估算主要是基于CI-NDHD (Normalized Difference between Hotspot and Dark spot, NDHD) 线性模型方法,由于针叶林和阔叶林在叶片尺度上存在聚集层级的差异,该模型对它们分别采用了不同的模型系数。但是,该模型对中粗分辨率的针阔混交林像元通常采用阔叶林的CI反演系数,因此,理论上会导致该类型CI的高估。为此,本文提出了一种动态选取混交林像元端元CI组分的方法,以改进针阔混交林植被聚集指数的估算精度。首先,通过国际地圈-生物圈计划(IGBP)的地表类型和描述二向性反射分布函数(bidirectional reflectance distribution function, BRDF )特征的地表各向异性平整指数(Anisotropic Flat...
Surface albedo is a key parameter controlling the earth energy budget, which can be estimated by integrating Bidirectional Reflectance Distribution Function (BRDF). The semi-empirical kernel-driven BRDF models has been widely used in BRDF/Albedo products, MODIS products for instance (Schaaf et al., 2002). However, these are suspect under large SZA (Liu 2009). With hotspot improved models, it necessary to assess property of models. In this study, two POLDER datasets utilized access...
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Leaf area index (LAI) is an important structure parameter to illuminate the fractions of solar radiation absorbed, transmitted and reflected by plant canopy, also a useful reference for ecological meteorological modeling. The GLAS full-waveform Lidar data ICESat satellite are easily available global coverage, which can provide detailed forest canopy information in footprint. In this study, we show LAI estimation method from waveform at footprint level. Firstly, Gaussian decomposition used...
A series reflectance models for snow have been developed in recent years, but there is no trusted pure database to test the yet. The Polarization and Directionality of Earth Reflectances (POLDER) BRDF data widely used quantitative remote sensing community, research has revealed that an obvious wrong classification occurred POLDER database. In this study, we propose a index (SI) characterize scattering feature based on RTLSRS model develop effective method identify Finally, build with higher...
The foliage Clumping Index (CI) quantifies the level of grouping within a distinct canopy structure relative to random distribution. It is key parameter for ecological, hydrological, and land surface models. In this study, we investigate influence snow cover on seasonal variation global CI products derived from Moderate-resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) using improved RTCLSR kernel-driven model. Results indicated that can lead...
The surface anisotropy plays a key role in the quantitative remote sensing inversion, which is usually described as bidirectional reflectance distribution function (BRDF). Studies show that BRDF sampling has significant effect on parameter inversion such albedo. However, samplings are complex, and only specific were considered previous studies. In this study, we investigated sensitivity of to albedo normalized difference between hotspot dark spot (NDHD) angular index based kernel-driven...
The foliage Clumping Index (CI) is a key vegetation structure parameter for leaf area index (LAI) estimating and ecological modelling. Previously, several global CI products have been retrieved from the Collection V005 Moderate Resolution Imaging Spectroradiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) with temporal resolution of one year, month or 8 day. V006 MODIS BRDF provide chance to retrieve product higher data accuracy. However, large size (~150 terabyte...
Clumping index (CI) is an important vegetation structure parameter in the estimation of leaf area (LAI) and modeling ecological meteorological process. With development surface process remote sensing technology, high resolution CI product urgently needed but no appropriate multi-angle reflectance satellite data currently available to produce such product. In recent years, random forest algorithm has been widely used derivation products from data. this study, was estimate Landsat basing on...