| Estimating the Leaf Area Index, height and biomass of maize using HJ-1 and RADARSAT-2 S Gao, Z Niu, N Huang, X Hou International Journal of Applied Earth Observation and Geoinformation 24, 1-8, 2013 | 164 | 2013 |
| Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize C Wu, Z Niu, S Gao Journal of Geophysical Research: Atmospheres 115 (D12), 2010 | 139 | 2010 |
| 植被覆盖度遥感估算研究进展 贾坤， 姚云军， 魏香琴， 高帅， 江波， 赵祥 地球科学进展 28 (7), 774, 2013 | 125 | 2013 |
| Airborne LiDAR technique for estimating biomass components of maize: A case study in Zhangye City, Northwest China W Li, Z Niu, N Huang, C Wang, S Gao, C Wu Ecological indicators 57, 486-496, 2015 | 119 | 2015 |
| Nondestructive estimation of canopy chlorophyll content using Hyperion and Landsat/TM images C Wu, L Wang, Z Niu, S Gao, M Wu International Journal of Remote Sensing 31 (8), 2159-2167, 2010 | 74 | 2010 |
| Relationships between soil respiration and photosynthesis-related spectral vegetation indices in two cropland ecosystems N Huang, Z Niu, Y Zhan, S Xu, MC Tappert, C Wu, W Huang, S Gao, ... Agricultural and Forest Meteorology 160, 80-89, 2012 | 64 | 2012 |
| Extracting grassland vegetation phenology in North China based on cumulative SPOT-VEGETATION NDVI data X Hou, S Gao, Z Niu, Z Xu International Journal of Remote Sensing 35 (9), 3316-3330, 2014 | 63 | 2014 |
| Estimation of leaf biochemical content using a novel hyperspectral full-waveform LiDAR system W Li, G Sun, Z Niu, S Gao, H Qiao Remote Sensing Letters 5 (8), 693-702, 2014 | 59 | 2014 |
| The potential of the satellite derived green chlorophyll index for estimating midday light use efficiency in maize, coniferous forest and grassland C Wu, Z Niu, S Gao Ecological Indicators 14 (1), 66-73, 2012 | 56 | 2012 |
| Combined use of airborne LiDAR and satellite GF-1 data to estimate leaf area index, height, and aboveground biomass of maize during peak growing season W Li, Z Niu, C Wang, W Huang, H Chen, S Gao, D Li, S Muhammad IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 55 | 2015 |
| Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling W Li, Z Niu, X Liang, Z Li, N Huang, S Gao, C Wang, S Muhammad International Journal of Applied Earth Observation and Geoinformation 41, 88-98, 2015 | 46 | 2015 |
| Design of a New Multispectral Waveform LiDAR Instrument to Monitor Vegetation Z Niu, Z Xu, G Sun, W Huang, L Wang, M Feng, W Li, W He, S Gao IEEE Geoscience and Remote Sensing Letters, 2015 | 46 | 2015 |
| Height Extraction of Maize Using Airborne Full-Waveform LIDAR Data and a Deconvolution Algorithm S Gao, Z Niu, G Sun, D Zhao, K Jia, Y Qin IEEE Geoscience and Remote Sensing Letters, 2015 | 41 | 2015 |
| Improved remote sensing image classification based on multi-scale feature fusion C Zhang, Y Chen, X Yang, S Gao, F Li, A Kong, D Zu, L Sun Remote Sensing 12 (2), 213, 2020 | 39 | 2020 |
| Automatic land-cover update approach integrating iterative training sample selection and a Markov Random Field model K Jia, S Liang, X Wei, L Zhang, Y Yao, S Gao Remote Sensing Letters 5 (2), 148-156, 2014 | 38 | 2014 |
| 基于 SPOT-VGT NDVI 时间序列的农牧交错带植被物候监测 侯学会， 牛铮， 高帅， 黄妮 农业工程学报 29 (1), 142-150, 2013 | 37 | 2013 |
| Semantic segmentation of building roof in dense urban environment with deep convolutional neural network: A case study using GF2 VHR imagery in China Y Qin, Y Wu, B Li, S Gao, M Liu, Y Zhan Sensors 19 (5), 1164, 2019 | 36 | 2019 |
| Correlating the Horizontal and Vertical Distribution of LiDAR Point Clouds with Components of Biomass in a Picea crassifolia Forest W Li, Z Niu, S Gao, N Huang, H Chen Forests 5 (8), 1910-1930, 2014 | 36 | 2014 |
| Predicting leaf area index in wheat using angular vegetation indices derived from in situ canopy measurements C Wu, Z Niu, J Wang, S Gao, W Huang Canadian Journal of Remote Sensing 36 (4), 301-312, 2010 | 36 | 2010 |
| Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents W Li, Z Niu, G Sun, S Gao, M Wu Optics Express 24 (5), 4771-4785, 2016 | 33 | 2016 |
Chaoyang WUChinese Academy of SciencesVerified email at irsa.ac.cn
