Estimating the grassland aboveground biomass in the Three-River Headwater Region of China using machine learning and Bayesian model averaging

Precipitation–productivity relationships and the duration of precipitation anomalies: An underappreciated dimension of climate change

(2020) Andrew J. Felton et al.   GLOBAL CHANGE BIOLOGY

Twentieth century redistribution in climatic drivers of global tree growth

(2019) Flurin Babst et al.   Science Advances

Large influence of soil moisture on long-term terrestrial carbon uptake

(2019) Julia K. Green et al.   NATURE

A synthesis of ecosystem aboveground productivity and its process variables under simulated drought stress

(2019) Jiangbo Gao et al.   JOURNAL OF ECOLOGY

Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau

(2019) Kai Zheng et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm

(2019) Na Zeng et al.   ECOLOGICAL INDICATORS

Shifts in the dynamics of productivity signal ecosystem state transitions at the biome-scale

(2018) Zhongmin Hu et al.   ECOLOGY LETTERS

Estimates of grassland biomass and turnover time on the Tibetan Plateau

(2018) Jiangzhou Xia et al.   Environmental Research Letters

Application of machine learning methods in forest ecology: recent progress and future challenges

(2018) Zelin Liu et al.   ENVIRONMENTAL REVIEWS

Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data

(2018) Caiyun Zhang et al.   REMOTE SENSING OF ENVIRONMENT

Grassland canopy cover and aboveground biomass in Mongolia and Inner Mongolia: Spatiotemporal estimates and controlling factors

(2018) Ranjeet John et al.   REMOTE SENSING OF ENVIRONMENT

Modeling grassland above-ground biomass based on artificial neural network and remote sensing in the Three-River Headwaters Region

(2018) Shuxia Yang et al.   REMOTE SENSING OF ENVIRONMENT

Application of machine learning methods in forest ecology: recent progress and future challenges

(2018) Zelin Liu et al.   ENVIRONMENTAL REVIEWS

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

(2018) Baoping Meng et al.   Remote Sensing

Development of a Regional Lidar-Derived Above-Ground Biomass Model with Bayesian Model Averaging for Use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico, USA

(2018) Karis Tenneson et al.   Remote Sensing

Performance of Optimally Merged Multisatellite Precipitation Products Using the Dynamic Bayesian Model Averaging Scheme Over the Tibetan Plateau

(2018) Yingzhao Ma et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Modeling alpine grassland cover based on MODIS data and support vector machine regression in the headwater region of the Huanghe River, China

(2018) Jing Ge et al.   REMOTE SENSING OF ENVIRONMENT

Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate

(2017) Wei Liang et al.   GLOBAL CHANGE BIOLOGY

Modeling Managed Grassland Biomass Estimation by Using Multitemporal Remote Sensing Data—A Machine Learning Approach

(2017) Iftikhar Ali et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Prediction of aboveground grassland biomass on the Loess Plateau, China, using a random forest algorithm

(2017) Yinyin Wang et al.   Scientific Reports

Modeling grassland aboveground biomass using a pure vegetation index

(2016) Fei Li et al.   ECOLOGICAL INDICATORS

Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging

(2016) Gaofeng Zhu et al.   HYDROLOGICAL PROCESSES

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Multi-factor modeling of above-ground biomass in alpine grassland: A case study in the Three-River Headwaters Region, China

(2016) Tiangang Liang et al.   REMOTE SENSING OF ENVIRONMENT

Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data

(2016) Yanjun Su et al.   REMOTE SENSING OF ENVIRONMENT

Spatiotemporal dynamic simulation of grassland carbon storage in China

(2016) Li Zhang et al.   Science China-Earth Sciences

Classification issues within ensemble-based simulation: application to surge floods forecasting

(2016) Sergey V. Kovalchuk et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

(2015) Kennedy Were et al.   ECOLOGICAL INDICATORS

Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data

(2015) Abel Ramoelo et al.   International Journal of Applied Earth Observation and Geoinformation

Using Bayesian model averaging to estimate terrestrial evapotranspiration in China

(2015) Yang Chen et al.   JOURNAL OF HYDROLOGY

Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming

(2015) Whitney Mowll et al.   OECOLOGIA

Impacts of Climatic Change on Hydrological Regime in the Three-River Headwaters Region, China, 1960-2009

(2015) Tianxu Mao et al.   WATER RESOURCES MANAGEMENT

Climate Change and Its Impact on the Eco-Environment of the Three-Rivers Headwater Region on the Tibetan Plateau, China

(2015) Chong Jiang et al.   International Journal of Environmental Research and Public Health

Downscaling 250-m MODIS Growing Season NDVI Based on Multiple-Date Landsat Images and Data Mining Approaches

(2015) Yingxin Gu et al.   Remote Sensing

An improved indicator of simulated grassland production based on MODIS NDVI and GPP data: A case study in the Sichuan province, China

(2014) Xinyu Fu et al.   ECOLOGICAL INDICATORS

Spatiotemporal dynamics of grassland aboveground net primary productivity and its association with climatic pattern and changes in Northern China

(2014) Dehua Mao et al.   ECOLOGICAL INDICATORS

Responses of alpine grassland on Qinghai–Tibetan plateau to climate warming and permafrost degradation: a modeling perspective

(2014) Shuhua Yi et al.   Environmental Research Letters

Livestock-carrying capacity and overgrazing status of alpine grassland in the Three-River Headwaters region, China

(2014) Jiping Zhang et al.   Journal of Geographical Sciences

Spatiotemporal changes in vegetation coverage and its driving factors in the Three-River Headwaters Region during 2000–2011

(2014) Xianfeng Liu et al.   Journal of Geographical Sciences

Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity

(2014) Shilong Piao et al.   Nature Communications

Spatio-Temporal Patterns and Climate Variables Controlling of Biomass Carbon Stock of Global Grassland Ecosystems from 1982 to 2006

(2014) Jiangzhou Xia et al.   Remote Sensing

Combined Use of Multi-Temporal Optical and Radar Satellite Images for Grassland Monitoring

(2014) Pauline Dusseux et al.   Remote Sensing

Mapping grassland productivity with 250-m eMODIS NDVI and SSURGO database over the Greater Platte River Basin, USA

(2012) Yingxin Gu et al.   ECOLOGICAL INDICATORS

Multiple Classifier System for Remote Sensing Image Classification: A Review

(2012) Peijun Du et al.   SENSORS

Climate change and its driving effect on the runoff in the “Three-River Headwaters” region

(2011) Shifeng Zhang et al.   Journal of Geographical Sciences

Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations

(2011) Martin Jung et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Carbon dynamics of terrestrial ecosystems on the Tibetan Plateau during the 20th century: an analysis with a process-based biogeochemical model

(2010) Q. Zhuang et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

A new generalizedp-value approach for testing equality of coefficients of variation inknormal populations

(2010) Xuhua Liu et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches

(2010) Scott L. Powell et al.   REMOTE SENSING OF ENVIRONMENT

Biomass carbon stocks and their changes in northern China’s grasslands during 1982–2006

(2010) WenHong Ma et al.   Science China-Life Sciences

Remote Sensing of Ecology, Biodiversity and Conservation: A Review from the Perspective of Remote Sensing Specialists

(2010) Kai Wang et al.   SENSORS

A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China

(2009) Yichun Xie et al.   ECOLOGICAL MODELLING

Aboveground biomass assessment in Colombia: A remote sensing approach

(2009) Jesús A. Anaya et al.   FOREST ECOLOGY AND MANAGEMENT

Large-scale pattern of biomass partitioning across China's grasslands

(2009) Yuanhe Yang et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Relationship between variability in aboveground net primary production and precipitation in global grasslands

(2008) Yuanhe Yang et al.   GEOPHYSICAL RESEARCH LETTERS

Aboveground biomass in Tibetan grasslands

(2008) Y.H. Yang et al.   JOURNAL OF ARID ENVIRONMENTS

Evaluation of Random Forest and Adaboost tree-based ensemble classification and spectral band selection for ecotope mapping using airborne hyperspectral imagery

(2008) Jonathan Cheung-Wai Chan et al.   REMOTE SENSING OF ENVIRONMENT