标题
Leaf area index estimation from the time-series SAR data using the AIEM-MWCM model
作者
关键词
-
出版物
International Journal of Digital Earth
Volume 16, Issue 2, Pages 4385-4403
出版商
Informa UK Limited
发表日期
2023-10-23
DOI
10.1080/17538947.2023.2271879
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Incorporation of first-order backscattered power in Water Cloud Model for improving the Leaf Area Index and Soil Moisture retrieval using dual-polarized Sentinel-1 SAR data
- (2023) Shubham Kumar Singh et al. REMOTE SENSING OF ENVIRONMENT
- Phenology estimation of subtropical bamboo forests based on assimilated MODIS LAI time series data
- (2021) Xuejian Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Improving CERES-Wheat Yield Forecasts by Assimilating Dynamic Landsat-Based Leaf Area Index: A Case Study in Iran
- (2021) Mohammad Jafari et al. Journal of the Indian Society of Remote Sensing
- Investigation of optimal vegetation indices for retrieval of leaf chlorophyll and leaf area index using enhanced learning algorithms
- (2021) Bhagyashree Verma et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Interannual Variation of Transpiration and Its Modeling of a Larch Plantation in Semiarid Northwest China
- (2020) Yanbing Wang et al. Forests
- Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring
- (2020) Eatidal Amin et al. REMOTE SENSING OF ENVIRONMENT
- Leaf area index estimation of wheat crop using modified water cloud model from the time-series SAR and optical satellite data
- (2019) Vijay Pratap Yadav et al. Geocarto International
- Relating X-band SAR Backscattering to Leaf Area Index of Rice in Different Phenological Phases
- (2019) Sonia Asilo et al. Remote Sensing
- An investigation of inversion methodologies to retrieve the leaf area index of corn from C-band SAR data
- (2019) Dipankar Mandal et al. International Journal of Applied Earth Observation and Geoinformation
- Soil Moisture Retrieval from the Chinese GF-3 Satellite and Optical Data over Agricultural Fields
- (2018) Linlin Zhang et al. SENSORS
- Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
- (2018) Guangjian Yan et al. AGRICULTURAL AND FOREST METEOROLOGY
- Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering
- (2017) Giovanni Chierchia et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Evaluating the potential of temporal Sentinel-1A data for paddy rice discrimination at local scales
- (2017) Lamin R. Mansaray et al. Remote Sensing Letters
- Spatiotemporal pattern of urban forest leaf area index in response to rapid urbanization and urban greening
- (2017) Zhibin Ren et al. JOURNAL OF FORESTRY RESEARCH
- Leaf Area Index Inversion of Winter Wheat Using Modified Water-Cloud Model
- (2016) Liangliang Tao et al. IEEE Geoscience and Remote Sensing Letters
- Estimation of Paddy Rice Variables with a Modified Water Cloud Model and Improved Polarimetric Decomposition Using Multi-Temporal RADARSAT-2 Images
- (2016) Zhi Yang et al. Remote Sensing
- Estimation of Leaf Area Index (LAI) in corn and soybeans using multi-polarization C- and L-band radar data
- (2015) Mehdi Hosseini et al. REMOTE SENSING OF ENVIRONMENT
- Maize Leaf Area Index Retrieval from Synthetic Quad Pol SAR Time Series Using the Water Cloud Model
- (2015) Emilie Bériaux et al. Remote Sensing
- Combined Use of Multi-Temporal Optical and Radar Satellite Images for Grassland Monitoring
- (2014) Pauline Dusseux et al. Remote Sensing
- Multi-polarization Envisat-ASAR images as a function of leaf area index (LAI) of White Poplar and Desert Date plantations
- (2010) Shuai Gao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Analysis of leaf area index in the ECMWF land surface model and impact on latent heat and carbon fluxes: Application to West Africa
- (2008) L. Jarlan et al. JOURNAL OF GEOPHYSICAL RESEARCH
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