Le Yu

发表

Contrasting Effects of Temperature and Precipitation on Vegetation Greenness along Elevation Gradients of the Tibetan Plateau

Yan Wang, Xinwu Li, Cunjun Li, 2020, Remote. Sens..

Characteristics of Greening along Altitudinal Gradients on the Qinghai-Tibet Plateau Based on Time-Series Landsat Images

A. Huete, Jingfeng Huang, M. Shen, 2022, Remote. Sens..

Investigation of land surface phenology detections in shrublands using multiple scale satellite data

A. Huete, Xiaoyang Zhang, Fumin Wang, 2021 .

Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets

D. Peng, Le Yu, Z. Du, 2022, Environmental Research Communications.

Soybean EOS Spatiotemporal Characteristics and Their Climate Drivers in Global Major Regions

Xiaoyang Zhang, Fumin Wang, D. Peng, 2022, Remote. Sens..

Possible future movement of the Hu line based on IPCC CMIP6 scenarios

D. Peng, Le Yu, Shijun Zheng, 2022, Environmental Research Communications.

Marked observed interannual differences in the vegetation response to the trend 1 towards a warmer and wetter climate in northwest China 2

D. Peng, Le Yu, Shijun Zheng, 2022 .

Wheat yield estimation using remote sensing data based on machine learning approaches

D. Peng, Le Yu, Cunjun Li, 2022, Frontiers in Plant Science.

FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping

H. Fu, Guangwen Yang, D. Peng, 2022, GIScience & Remote Sensing.

Distribution of ecological restoration projects associated with land use and land cover change in China and their ecological impacts.

D. Peng, Le Yu, Yidi Xu, 2022, The Science of the total environment.

Assessing spatiotemporal variations and predicting changes in ecosystem service values in the Guangdong–Hong Kong–Macao Greater Bay Area

J. Zhang, Guofeng Wu, Le Yu, 2022, GIScience & Remote Sensing.

Progress and Trends in the Application of Google Earth and Google Earth Engine

Dailiang Peng, Yongguang Zhang, Xuecao Li, 2021, Remote. Sens..

Mapping spatial-temporal nationwide soybean planting area in Argentina using Google Earth Engine

Jinsong Deng, Le Yu, Yi Lin, 2022, International Journal of Remote Sensing.

The divergent response of vegetation phenology to urbanization: A case study of Beijing city, China.

Ye Zhang, Jianxi Huang, Le Yu, 2021, The Science of the total environment.

A large-scale, long time-series (1984‒2020) of soybean mapping with phenological features: Heilongjiang Province as a test case

D. Peng, Le Yu, Peng Gong, 2021, International Journal of Remote Sensing.

Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables

Cunjun Li, Cheng Wang, Dailiang Peng, 2019, Remote. Sens..

An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends

D. Peng, Le Yu, Pengyu Hao, 2022, Remote. Sens..

Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes

Chaoyang Wu, A. Huete, W. Ju, 2023, Environmental Research Letters.

The land footprint of the global food trade: Perspectives from a case study of soybeans

Chaoqing Yu, D. Peng, Le Yu, 2021, Land Use Policy.

Global Change of Land-Sparing and Land-Sharing Patterns over the Past 30 Years: Evidence from Remote Sensing and Statistics

Yue Cao, Jianqiao Zhao, Le Yu, 2021, Remote. Sens..

The trend towards a warmer and wetter climate observed in arid and semi-arid areas of northwest China from 1959 to 2019

D. Peng, Le Yu, Shijun Zheng, 2021, Environmental Research Communications.

The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing

Shengwei Liu, D. Peng, Le Yu, 2022, Remote. Sens..

Mapping annual 10-m soybean cropland with spatiotemporal sample migration

Le Yu, Zihang Lou, Jinkang Hu, 2024, Scientific data.

Temporal variation characteristics in the association between climate and vegetation in Northwest China

Le Yu, Shijun Zheng, Yuhao Pan, 2024, Scientific reports.

Urban renewal mapping: A case study in Beijing from 2000 to 2020

Le Yu, Xuecao Li, Jiyao Zhao, 2023, Journal of Remote Sensing.