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State-of-the-Art: DTM Generation Using Airborne LIDAR Data

Sensors, 2017-01, Vol.17 (1), p.150

2017

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Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism

Environment international, 2020-06, Vol.139, p.105558-105558, Article 105558

2020

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Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes

Journal of cleaner production, 2019-10, Vol.235, p.11-20

2019

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Causal inference from cross-sectional earth system data with geographical convergent cross mapping

Nature communications, 2023-09, Vol.14 (1), p.5875-5875, Article 5875

2023

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Multi-objective optimization sampling based on Pareto optimality for soil mapping

Geoderma, 2022-11, Vol.425, p.116069, Article 116069

2022

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A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images

International journal of applied earth observation and geoinformation, 2024-09, Vol.133, p.104085, Article 104085

2024

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Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids

International journal of applied earth observation and geoinformation, 2021-12, Vol.103, p.102485, Article 102485

2021

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Spatial Stratification Method for the Sampling Design of LULC Classification Accuracy Assessment: A Case Study in Beijing, China

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.865

2022

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Author Correction: Causal inference from cross-sectional earth system data with geographical convergent cross mapping

Nature communications, 2023-11, Vol.14 (1), p.7288-7288, Article 7288

2023

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Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data

Remote sensing (Basel, Switzerland), 2018-03, Vol.10 (3), p.390

2018

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Integrated assessment of potentially toxic elements in soil of the Kangdian metallogenic province: A two-point machine learning approach

Ecotoxicology and environmental safety, 2024-05, Vol.276, p.116248-116248, Article 116248

2024

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Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing

Scientific reports, 2017-08, Vol.7 (1), p.1-12, Article 8220

2017

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Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery

Remote sensing (Basel, Switzerland), 2024-05, Vol.16 (9), p.1505

2024

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Improving the Accuracy of Land Cover Mapping by Distributing Training Samples

Remote sensing (Basel, Switzerland), 2021-11, Vol.13 (22), p.4594

2021

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A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns

ISPRS international journal of geo-information, 2021-05, Vol.10 (5), p.348

2021

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Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach

Geocarto international, 2023-12, Vol.38 (1)

2023

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Upward-fusion urban DTM generating method using airborne Lidar data

ISPRS journal of photogrammetry and remote sensing, 2012-08, Vol.72, p.121-130

2012

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Impacts of the 20-year war on crop planting and food security in Afghanistan

International journal of digital earth, 2024-12, Vol.17 (1)

2024

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Assessing the suitability of FROM-GLC10 data for understanding agricultural ecosystems in China: Beijing as a case study

Remote sensing letters, 2020-01, Vol.11 (1), p.11-18

2020

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Analysis of Comprehensive Land Consolidation in Cultivated Land Reserve Resource Areas Based on Two-Level Geographical Unit Division

Land (Basel), 2024-04, Vol.13 (4), p.470

2024

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Identifying Influencing Factors of Agricultural Soil Heavy Metals Using a Geographical Detector: A Case Study in Shunyi District, China

Land (Basel), 2021-10, Vol.10 (10), p.1010

2021

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An Improved Parallelized Multi-Objective Optimization Method for Complex Geographical Spatial Sampling: AMOSA-II

ISPRS international journal of geo-information, 2020-04, Vol.9 (4), p.236

2020

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Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data

International journal of environmental research and public health, 2018-07, Vol.15 (7), p.1504

2018

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Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics

Environmental science and ecotechnology, 2024-09, Vol.21, p.100394-100394, Article 100394

2024

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Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity

Acta oceanologica Sinica, 2017-02, Vol.36 (2), p.111-121

2017

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State-of-the-Art: DTM Generation Using Airborne LIDAR Data

Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism

Ground ozone variations at an urban and a rural station in Beijing from 2006 to 2017: Trend, meteorological influences and formation regimes

Causal inference from cross-sectional earth system data with geographical convergent cross mapping

Multi-objective optimization sampling based on Pareto optimality for soil mapping

A Segment Anything Model based weakly supervised learning method for crop mapping using Sentinel-2 time series images

Large-scale crop mapping from multi-source optical satellite imageries using machine learning with discrete grids

Spatial Stratification Method for the Sampling Design of LULC Classification Accuracy Assessment: A Case Study in Beijing, China

Author Correction: Causal inference from cross-sectional earth system data with geographical convergent cross mapping

Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data

Integrated assessment of potentially toxic elements in soil of the Kangdian metallogenic province: A two-point machine learning approach

Spatio-temporal variations of PM2.5 concentrations and the evaluation of emission reduction measures during two red air pollution alerts in Beijing

Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery

Improving the Accuracy of Land Cover Mapping by Distributing Training Samples

A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns

Solid waste mapping based on very high resolution remote sensing imagery and a novel deep learning approach

Upward-fusion urban DTM generating method using airborne Lidar data

Impacts of the 20-year war on crop planting and food security in Afghanistan

Assessing the suitability of FROM-GLC10 data for understanding agricultural ecosystems in China: Beijing as a case study

Analysis of Comprehensive Land Consolidation in Cultivated Land Reserve Resource Areas Based on Two-Level Geographical Unit Division

Identifying Influencing Factors of Agricultural Soil Heavy Metals Using a Geographical Detector: A Case Study in Shunyi District, China

An Improved Parallelized Multi-Objective Optimization Method for Complex Geographical Spatial Sampling: AMOSA-II

Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data

Crop residue burning in China (2019–2021): Spatiotemporal patterns, environmental impact, and emission dynamics

Optimization of Shanghai marine environment monitoring sites by integrating spatial correlation and stratified heterogeneity

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