R. Meng

发表

Hyperspectral remote sensing of fire: State-of-the-art and future perspectives

D. Roberts, P. Dennison, G. Hulley, 2018, Remote Sensing of Environment.

Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta

Zhiqiang Gao, Jicai Ning, Fuxiang Xu, 2018, Frontiers of Earth Science.

Detection of Tamarisk Defoliation by the Northern Tamarisk Beetle Based on Multitemporal Landsat 5 Thematic Mapper Imagery

P. Dennison, R. Meng, K. Hultine, 2012 .

Using High Spatial Resolution Satellite Imagery to Map Forest Burn Severity Across Spatial Scales in a Pine Barrens Ecosystem

Feng Zhao, Timothy Green, Shawn P. Serbin, 2017 .

BNL-113515-2017-JA Using high spatial resolution satellite imagery tomap forest burn severity across spatial scales in a Pine Barrens ecosystem

P. Dennison, B. Cook, R. Meng, 2017 .

Remote Sensing of Environment

P. Dennison, B. Cook, R. Meng, 2017 .

Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements

Feng Zhao, Iurii Shendryk, Shawn P. Serbin, 2018, Remote Sensing of Environment.

From the Arctic to the tropics: multi-biome prediction of leaf mass per area using leaf reflectance.

Kim S. Ely, P. Townsend, R. Meng, 2019, The New phytologist.

Hyperspectral remote sensing of fire : state-ofthe-art and future perspectives 1

D. Roberts, P. Dennison, G. Hulley, 2018 .

Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California

Chengquan Huang, Philip E. Dennison, Max A. Moritz, 2015 .

Remote Sensing Analysis of Vegetation Recovery following Short-Interval Fires in Southern California Shrublands

Philip E. Dennison, Max A. Moritz, Ran Meng, 2014, PloS one.

Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest.

Tomoaki Miura, Ngoc Nguyen Tran, Kaiyu Guan, 2018, The New phytologist.

Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images

R. Meng, Peng Fu, Shanqin Wang, 2020 .

Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm

Le Yu, R. Meng, Xinliang Xu, 2020, Science China Earth Sciences.

Characterizing the provision and inequality of primary school greenspaces in China’s major cities based on multi-sensor remote sensing

R. Meng, Longfei Zhou, Feng R. Zhao, 2022, Urban Forestry & Urban Greening.

Land cover classification based on the MODIS-EVI time-series using decision tree method

Zhiqiang Gao, Ran Meng, Zhiqiang Gao, 2009, Optical Engineering + Applications.

Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning

Chengquan Huang, F. Zhao, R. Meng, 2022, Remote Sensing of Environment.

Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques

Feng Zhao, Shawn P. Serbin, Ran Meng, 2018, Remote Sensing of Environment.

The phenology of leaf quality and its within‐canopy variation is essential for accurate modeling of photosynthesis in tropical evergreen forests

S. Saleska, R. Meng, A. Rogers, 2017, Global change biology.

Comparison of UAV-based LiDAR and Digital Aerial Photogrammetry for Measuring Crown-level Canopy Height in the Urban Environment

R. Meng, Longfei Zhou, Feng R. Zhao, 2022, Urban Forestry & Urban Greening.

An improved approach to estimate ratoon rice aboveground biomass by integrating UAV-based spectral, textural and structural features

R. Meng, Longfei Zhou, Feng R. Zhao, 2022, Precision Agriculture.

Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification

Jianbing Yan, Linglin Zeng, Ran Meng, 2020, Remote. Sens..

A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra

Shawn P. Serbin, Daniel J. Hayes, Ran Meng, 2020, Remote. Sens..

Combining multiple spectral enhancement features for improving spectroscopic asymptomatic detection and symptomatic severity classification of southern corn leaf blight

R. Meng, Zehua Huang, Jianbing Yan, 2023, Precision Agriculture.

Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province, China

Jie Zhou, Chengquan Huang, Y. Pang, 2022, Forest Ecosystems.

Spectroscopic Analysis of Green, Desiccated and Dead Tamarisk Canopies

P. Dennison, R. Meng, 2015 .

Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack

Chengquan Huang, Zhiliang Zhu, Le Yu, 2016, Remote. Sens..

Assessing Post-Fire Tree Mortality and Biomass Change by Integrating Lidar and Hyperspectral data

Feng Zhao, Ran Meng, Shawn Serbin, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Analysis of the 2014 "APEC Blue" in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures

Rui Zhang, Chengquan Huang, Jianying Yang, 2015, Remote. Sens..

Remote Sensing of Fire Effects

R. Meng, Feng R. Zhao, 2017 .

Hyperspectral Remote Sensing of FireA Review

D. Roberts, P. Dennison, G. Hulley, 2018, Advanced Applications in Remote Sensing of Agricultural Crops and Natural Vegetation.

8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine Learning Method on a Climate Zone to Global Scale

Daxiang Xiang, Weixiong Wu, Linglin Zeng, 2021, Remote. Sens..

Wheat Yield Prediction Based on Unmanned Aerial Vehicles-Collected Red-Green-Blue Imagery

Linglin Zeng, Ran Meng, Guozhang Peng, 2021, Remote. Sens..

A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products

Guoqing Zhou, Daxiang Xiang, Weixiong Wu, 2021, Remote. Sens..