Modeling of Alpine Grassland Cover Based on Unmanned Aerial Vehicle Technology and Multi-Factor Methods: A Case Study in the East of Tibetan Plateau, China
暂无分享,去创建一个
Xia Cui | Hongjie Xie | Tiangang Liang | Jinlong Gao | Qisheng Feng | Jing Ge | Baoping Meng | Jianpeng Yin | H. Xie | Jinlong Gao | B. Meng | Tiangang Liang | Qisheng Feng | J. Ge | Jianpeng Yin | X. Cui
[1] Jaume Lloveras,et al. Analysis of Vegetation Indices to Determine Nitrogen Application and Yield Prediction in Maize (Zea mays L.) from a Standard UAV Service , 2016, Remote. Sens..
[2] Shuxia Yang,et al. Evaluation of Remote Sensing Inversion Error for the Above-Ground Biomass of Alpine Meadow Grassland Based on Multi-Source Satellite Data , 2017, Remote. Sens..
[3] Jian Sun,et al. Plant coverage is more sensitive than species diversity in indicating the dynamics of the above-ground biomass along a precipitation gradient on the Tibetan Plateau , 2018 .
[4] R. Tateishi,et al. Relationships between percent vegetation cover and vegetation indices , 1998 .
[5] H. Xie,et al. Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the Three-River Headwaters Region , 2018 .
[6] Yu Qin,et al. Effects of permafrost degradation on alpine grassland in a semi-arid basin on the Qinghai–Tibetan Plateau , 2011 .
[7] D. Diner,et al. Analysis of the MISR LAI/FPAR product for spatial and temporal coverage, accuracy and consistency , 2007 .
[8] Yang Liu,et al. Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms , 2017, Expert Syst. Appl..
[9] Bin Xu,et al. Using MODIS time series data to estimate aboveground biomass and its spatio-temporal variation in Inner Mongolia’s grassland between 2001 and 2011 , 2013 .
[10] Martin Brandt,et al. Do Agrometeorological Data Improve Optical Satellite-Based Estimations of the Herbaceous Yield in Sahelian Semi-Arid Ecosystems? , 2016, Remote. Sens..
[11] Sebahattin Tiryaki,et al. An artificial neural network model for predicting compression strength of heat treated woods and comparison with a multiple linear regression model , 2014 .
[12] Lü Haiyan,et al. Study on the spatial differences and its time lag effect on climatic factors of the vegetation in the Longitudinal Range-Gorge Region , 2007 .
[13] Jingyun Fang,et al. Ecosystem carbon stocks and their changes in China’s grasslands , 2010, Science China Life Sciences.
[14] Yu Qin,et al. The burying and grazing effects of plateau pika on alpine grassland are small: a pilot study in a semiarid basin on the Qinghai-Tibet Plateau , 2016 .
[15] S. Piao,et al. Changes in biomass carbon stocks in China's grasslands between 1982 and 1999 , 2007 .
[16] Hongjie Xie,et al. Evaluation and Adjustment of the AMSR2 Snow Depth Algorithm for the Northern Xinjiang Region, China , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[17] B. Fu,et al. Effects of plant diversity on soil erosion for different vegetation patterns , 2016 .
[18] Martin J. Wooster,et al. High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing , 2016, Remote. Sens..
[19] M. B. Dodd,et al. Associations between vegetation patterns and soil texture in the shortgrass steppe , 2002, Plant Ecology.
[20] Stefan Dech,et al. Derivation of biomass information for semi-arid areas using remote-sensing data , 2012 .
[21] Hua Yuan,et al. A soil particle-size distribution dataset for regional land and climate modelling in China , 2012 .
[22] Ningbo Cui,et al. Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling. , 2017 .
[23] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[24] Jörg Bendix,et al. Land‐cover classification in the Andes of southern Ecuador using Landsat ETM+ data as a basis for SVAT modelling , 2009 .
[25] Junfeng Gao,et al. An ensemble simulation approach for artificial neural network: An example from chlorophyll a simulation in Lake Poyang, China , 2017, Ecol. Informatics.
[26] Alexander J. Smola,et al. Support Vector Method for Function Approximation, Regression Estimation and Signal Processing , 1996, NIPS.
[27] Qianjun Zhao,et al. Estimating grassland aboveground biomass using multitemporal MODIS data in the West Songnen Plain, China , 2013 .
[28] Fulu Tao,et al. Trends and variation in vegetation greenness related to geographic controls in middle and eastern Inner Mongolia, China , 2011 .
[29] Liu Zhaoqin,et al. Topographic effects on vegetation biomass in semiarid mixed grassland under climate change using AVHRR NDVI data. , 2014 .
[30] R. Deo,et al. Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland , 2017 .
[31] A. Arneth,et al. Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations , 2011 .
[32] Ling Wang,et al. [Hyperspectral Estimation of Apple Tree Canopy LAI Based on SVM and RF Regression]. , 2016, Guang pu xue yu guang pu fen xi = Guang pu.
[33] E. Dwyer,et al. Satellite remote sensing of grasslands: from observation to management—a review , 2016 .
[34] Xiangzheng Deng,et al. Diffused impact of grassland degradation over space: A case study in Qinghai province , 2017 .
[35] Shuhua Yi,et al. FragMAP: a tool for long-term and cooperative monitoring and analysis of small-scale habitat fragmentation using an unmanned aerial vehicle , 2017 .
[36] Bin Xu,et al. Remote sensing monitoring upon the grass production in China , 2007 .
[37] Yu Qin,et al. Improving estimates of fractional vegetation cover based on UAV in alpine grassland on the Qinghai–Tibetan Plateau , 2016 .
[38] Zhanjie Li,et al. Roles of soil erodibility, rainfall erosivity and land use in affecting soil erosion at the basin scale , 2016 .
[39] Yu Qin,et al. The contribution of plateau pika disturbance and erosion on patchy alpine grassland soil on the Qinghai-Tibetan Plateau: Implications for grassland restoration , 2017 .
[40] Huanhuan Yuan,et al. Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models , 2017, Remote. Sens..
[41] Bin Zou,et al. Coverage-dependent amplifiers of vegetation change on global water cycle dynamics , 2017 .
[42] Hongjie Xie,et al. Multi-factor modeling of above-ground biomass in alpine grassland: A case study in the Three-River Headwaters Region, China , 2016 .
[43] Lukas W. Lehnert,et al. Retrieval of grassland plant coverage on the Tibetan Plateau based on a multi-scale, multi-sensor and multi-method approach. , 2015 .
[44] Jan G. P. W. Clevers,et al. Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review , 2015 .
[45] Jay Gao,et al. Determination of land degradation causes in Tongyu County, Northeast China via land cover change detection , 2010, Int. J. Appl. Earth Obs. Geoinformation.
[46] Tiangang Liang,et al. Classification management for grassland using MODIS data: a case study in the Gannan region, China , 2012 .
[47] Jianlong Li,et al. Grassland coverage inter-annual variation and its coupling relation with hydrothermal factors in China during 1982–2010 , 2014, Journal of Geographical Sciences.
[48] Shiliang Liu,et al. Analysis of vegetation change associated with human disturbance using MODIS data on the rangelands of the Qinghai-Tibet Plateau , 2015 .
[49] Wei Zhou,et al. Grassland degradation remote sensing monitoring and driving factors quantitative assessment in China from 1982 to 2010. , 2017 .
[50] X. Chen,et al. Estimation of above-ground biomass using MODIS satellite imagery of multiple land-cover types in China , 2016 .
[51] 李涛 Li Tao,et al. Estimating Fractional Cover of Photosynthetic Vegetation and Non-photosynthetic Vegetation in the Xilingol Steppe Region with EO-1 Hyperion Data , 2015 .
[52] Xiusheng Yang,et al. Effects of rye grass coverage on soil loss from loess slopes , 2015, International Soil and Water Conservation Research.
[53] Yang Yuan. VARIATIONS IN GRASSLAND VEGETATION COVER IN RELATION TO CLIMATIC FACTORS ON THE TIBETAN PLATEAU , 2006 .
[54] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[55] M. Hutchinson,et al. The development of 1901–2000 historical monthly climate models for Canada and the United States , 2006 .
[56] Bin Xu,et al. Spatio-Temporal Variation in Vegetation Biomass and Its Relationships with Climate Factors in the Xilingol Grasslands, Northern China , 2013, PloS one.
[57] Jui-Sheng Chou,et al. Nature-inspired metaheuristic optimization in least squares support vector regression for obtaining bridge scour information , 2017, Inf. Sci..