A5015337558- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Leaf Properties and Growth Measurement
- Remote Sensing and LiDAR Applications
- Calibration and Measurement Techniques
- Rangeland Management and Livestock Ecology
- Ruminant Nutrition and Digestive Physiology
- Heavy metals in environment
- Species Distribution and Climate Change
- Isotope Analysis in Ecology
- Research studies in Vietnam
- Urban Heat Island Mitigation
- Atmospheric and Environmental Gas Dynamics
- Plant Water Relations and Carbon Dynamics
- Reproductive Physiology in Livestock
- Environmental and Agricultural Sciences
- Ecology and Vegetation Dynamics Studies
- Natural Language Processing Techniques
- Migration, Aging, and Tourism Studies
- Mercury impact and mitigation studies
- Topic Modeling
- Mycobacterium research and diagnosis
- Urban Transport and Accessibility
- Plant Ecology and Soil Science
Gansu Agricultural University
1998-2025
Chinese Academy of Sciences
2009-2024
Aerospace Information Research Institute
2020-2024
University of Chinese Academy of Sciences
2010-2024
State Key Laboratory of Remote Sensing Science
2011-2024
Beijing Normal University
2011-2023
Institute of Wetland Research
2021
Tianjin Normal University
2016-2020
Zhejiang Marine Fisheries Research Institute
2019
Shanghai Ocean University
2017
China possesses vast grassland resources that include alpine meadow, tundra, steppe and desert. It is, therefore, desirable to establish a classification system involves the formative factors contributing this diversity. This paper reports called Integrated Orderly Classification System of Grassland (IOCSG), which was formulated through grouping or clustering units with similar properties. The IOCSG hierarchy three levels. At first level, grasslands are grouped into classes according an...
Regiospecific halogenation of azacalix[1]arene[3]pyridines at the lower rim position benzene ring was achieved from their cross-coupling reaction with cost-effective alkali metal halides through Cu(ClO(4))(2)-mediated aerobic aryl C-H activation, which gave structurally well-defined aryl-Cu(III) intermediates, and a subsequent C-X bond formation under very mild conditions.
Abstract The leaf chlorophyll content (Chl ) is a crucial vegetation parameter in carbon cycle modelling and agricultural monitoring at local, regional global scales. red‐edge spectral region sensitive to variations Chl leaf. An increasing number of sensors are capable sampling bands, providing opportunities estimate . However, the contributions canopy/foliar/soil factors always combined reflectance signal, which limits generalizability index (VI)‐based inversions. This study aims propose...
Gap probability theory provides a theoretical equation to calculate fractional vegetation cover (FVC). However, the main algorithms used in present FVC products generation are still linear mixture model and machine learning methods. The reason limit gap applied product algorithm is availability accuracy of leaf area index (LAI) clumping (CI) products. With improvement LAI CI products, it necessary assess whether based on using can improve In this study, we generated estimates (FVCgap) with...
The algorithm for Model Bidirectional Reflectance Anisotropies of the Land Surface (AMBRALS) includes a series kernel-driven bidirectional reflectance distribution function (BRDF) models. Among these models, RossThick-LiSparse-Reciprocal (RTLSR) model has been selected as operational MODIS BRDF/Albedo algorithm. With newly developed LiTransit kernel and Ross with hotspot effect by Bréon, there is need to further evaluate models' potentials in retrieving land surface properties user...
Vegetation index (VI) derived from remotely sensed images is a proxy of terrestrial vegetation information and widely used in land monitoring global change studies. Recently, the prediction properties has been an interest related communities. With accumulation satellite records over past few decades, spatial–temporal VI becomes feasible. In this letter, we developed deep recurrent neural networks (RNNs) with long short-term memory (LSTM) gated units (GRUs) to predict based on historical...
Abstract. Leaf chlorophyll content (LCC) is an essential biochemical parameter reflecting vegetation's photosynthetic activity. In the past five years, some global LCC remote sensing products have been generated, and play important role in vegetation growth monitoring terrestrial carbon cycle modeling. However, resolution of current ranges from 300 m to 500 m, existing 30m-resolution product, Multi-source data Synergized Quantitative production system (MuSyQ LCC), only available China,...
The accumulation of heavy metal cadmium (Cd) in farmland soil edible parts crops seriously threatens plant growth, human health, and even the global ecological environment. Finding stabilization remediation technology is an important means to treat Cd-contaminated soil. This study comprehensively evaluated synergistic effects independent or combined application biochar (BC) (10, 30 g kg−1) nano zero-valent iron (nZVI) (0.1% w/w) on properties morphological physiological traits pakchoi...
High-quality Normalized Difference Vegetation Index (NDVI) time series are essential in studying vegetation phenology, dynamic monitoring, and global change. Gap filling is the most important issue reconstructing NDVI from satellites with high spatial resolution, e.g., Landsat Chinese GaoFen-1/6 series. Due to sparse revisit frequencies of high-resolution satellites, traditional reconstruction approaches face challenge dealing large gaps raw data. In this paper, a climate incorporated...
Bidirectional reflectance distribution function (BRDF) archetypes extracted from the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo product over global Earth Observing System Land Validation Core Sites can be used to simplify BRDF models. The present study attempts evaluate representativeness of for surface anisotropy. Five-year forward-modeled MODIS multi-angular (MCD-ref) and aditional actual observations (MCD-obs) in four growing periods 2008 three tiles were taken as...
Leaf chlorophyll content (LCC) is crucial in plant physiology and ecological research. Although several LCC products have recently been generated at a regional or global scale, understanding their accuracy still concern the scientific community. We intercompared analyzed five existing (MuSyQ LCC, MODIS MERIS GLCC, GLOBMAP LCC) over China terms of spatial continuity spatiotemporal consistency seven functional types. The 2011 2019 were used this study. Research findings indicate (1) 30...
Abstract The productivity and nutritive value of some cultivated perennial grasses, Bromus inermis (B), Elymus sibricus (S), E. nutans (N), Agropyron cristatum (A), Poa crymophila (P) mixtures B + N, S A, N A P, +A P in the alpine region Tibetan Plateau were investigated. mixtures, most productive with yields dry matter (DM) between 11 000 14 kg −1 biomass annually second harvest year. Acid‐detergent fibre (ADF) concentrations increased ( < 0·05), crude protein (CP) sacco DM degradability...
Five countries in the Lancang-Mekong region, including Myanmar, Laos, Thailand, Cambodia, and Vietnam, are facing threat of deforestation, despite having a high level forest coverage. Quantitatively assessing ecosystem status its variations based on remote sensing products for vegetation parameters is crucial prerequisite ongoing phase our future project. In this study, we analyzed health year 2020 using four indicators: coverage index (FCI), leaf area (LAI), fraction green cover (FVC),...
Summary Economic costs and benefits for different grassland production systems were analysed. Comparisons included one native (alpine meadow dominated by sedges) system, four perennial monocultures of smooth bromegrass ( Bromus inermis Leyss, SB), Siberian wild ryegrass Elymus sibricus Linn., SW), drooping nutans Griseb, DW) crested wheatgrass Agropyron cristatum Gaertn., CW), three mixtures these grasses (SB + DW, SB SW CW DW two annual forage oats (FO) Lolium annual, AR) in the alpine...
Spatial land surface heterogeneities are widespread at various scales and represent a great challenge to leaf area index (LAI) retrievals product validations. In this paper, considering the mixed water vegetation pixels prevalent moderate low resolutions, we propose methodological framework for conducting global comparisons of heterogeneous surfaces based on criterion setting search high-resolution data. We construct network, Heterogeneous Surface Network aiming Water Vegetation Mixture...