Saline soil moisture mapping using Sentinel-1A synthetic aperture radar data and machine learning algorithms in humid region of China's east coast
出版年份 2022 全文链接
标题
Saline soil moisture mapping using Sentinel-1A synthetic aperture radar data and machine learning algorithms in humid region of China's east coast
作者
关键词
Soil moisture estimation, Sentinel-1A, Synthetic aperture radar (SAR), Machine learning, Saline coastal region
出版物
CATENA
Volume 213, Issue -, Pages 106189
出版商
Elsevier BV
发表日期
2022-03-13
DOI
10.1016/j.catena.2022.106189
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。- Retrieving Surface Soil Water Content Using a Soil Texture Adjusted Vegetation Index and Unmanned Aerial System Images
- (2021) Haibin Gu et al. Remote Sensing
- Combination of Feature Selection and CatBoost for Prediction: The First Application to the Estimation of Aboveground Biomass
- (2021) Mi Luo et al. Forests
- Improving satellite retrieval of oceanic particulate organic carbon concentrations using machine learning methods
- (2021) Huizeng Liu et al. REMOTE SENSING OF ENVIRONMENT
- Soil Moisture Retrievals Using Multi-Temporal Sentinel-1 Data over Nagqu Region of Tibetan Plateau
- (2021) Mengying Yang et al. Remote Sensing
- Cereal Crops Soil Parameters Retrieval Using L-Band ALOS-2 and C-Band Sentinel-1 Sensors
- (2021) Emna Ayari et al. Remote Sensing
- UAV- and Machine Learning-Based Retrieval of Wheat SPAD Values at the Overwintering Stage for Variety Screening
- (2021) Jianjun Wang et al. Remote Sensing
- GNSS-Reflectometry and Remote Sensing of Soil Moisture: A Review of Measurement Techniques, Methods, and Applications
- (2020) Komi Edokossi et al. Remote Sensing
- Improving Unmanned Aerial Vehicle Remote Sensing-Based Rice Nitrogen Nutrition Index Prediction with Machine Learning
- (2020) Hainie Zha et al. Remote Sensing
- A New Approach for Estimating Soil Salinity Using A Low-Cost Soil Sensor In Situ: A Case Study in Saline Regions of China’s East Coast
- (2020) Jianjun Wang et al. Remote Sensing
- Combination of MIR spectroscopy and environmental covariates to predict soil organic carbon in a semi-arid region
- (2020) Marmar Sabetizade et al. CATENA
- Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data
- (2020) Hamed Adab et al. Water
- Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
- (2019) Pham Hoa et al. Remote Sensing
- Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
- (2019) Liang Han et al. Plant Methods
- Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam
- (2019) An Thi Ngoc Dang et al. Ecological Informatics
- Application of feature selection methods and machine learning algorithms for saltmarsh biomass estimation using Worldview-2 imagery
- (2019) Sikdar M. M. Rasel et al. Geocarto International
- Method for predicting soil salinity concentrations in croplands based on machine learning and remote sensing techniques
- (2019) Nurmemet Erkin et al. Journal of Applied Remote Sensing
- Field-Scale Rice Yield Estimation Using Sentinel-1A Synthetic Aperture Radar (SAR) Data in Coastal Saline Region of Jiangsu Province, China
- (2019) Jianjun Wang et al. Remote Sensing
- Influence of Variable Selection and Forest Type on Forest Aboveground Biomass Estimation Using Machine Learning Algorithms
- (2019) Li et al. Forests
- An Approach for Downscaling SMAP Soil Moisture by Combining Sentinel-1 SAR and MODIS Data
- (2019) Jueying Bai et al. Remote Sensing
- Combining Machine Learning and Compact Polarimetry for Estimating Soil Moisture from C-Band SAR Data
- (2019) Emanuele Santi et al. Remote Sensing
- Evaluation of Backscattering Models and Support Vector Machine for the Retrieval of Bare Soil Moisture from Sentinel-1 Data
- (2019) Jamal Ezzahar et al. Remote Sensing
- Soil Moisture Estimation With SVR and Data Augmentation Based on Alpha Approximation Method
- (2019) Wei Xu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Surface soil moisture retrievals over partially vegetated areas from the synergy of Sentinel-1 and Landsat 8 data using a modified water-cloud model
- (2018) Yansong Bao et al. International Journal of Applied Earth Observation and Geoinformation
- Retrieving surface soil moisture at high spatio-temporal resolution from a synergy between Sentinel-1 radar and Landsat thermal data: A study case over bare soil
- (2018) Abdelhakim Amazirh et al. REMOTE SENSING OF ENVIRONMENT
- Quantifying the relative contributions of vegetation and soil moisture conditions to polarimetric C-Band SAR response in a temperate peatland
- (2018) Koreen Millard et al. REMOTE SENSING OF ENVIRONMENT
- Comprehensive evaluation of soil moisture retrieval models under different crop cover types using C-band synthetic aperture radar data
- (2018) P. Kumar et al. Geocarto International
- Comparison of Machine Learning Techniques in Inferring Phytoplankton Size Classes
- (2018) Shuibo Hu et al. Remote Sensing
- Mapping the Salt Content in Soil Profiles using Vis-NIR Hyperspectral Imaging
- (2018) Shiwen Wu et al. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
- Spatio-temporal fusion of NDVI data for simulating soil water content in heterogeneous Mediterranean areas
- (2018) Marta Chiesi et al. European Journal of Remote Sensing
- Estimating Forest Canopy Cover in Black Locust (Robinia pseudoacacia L.) Plantations on the Loess Plateau Using Random Forest
- (2018) Qingxia Zhao et al. Forests
- The optical trapezoid model: A novel approach to remote sensing of soil moisture applied to Sentinel-2 and Landsat-8 observations
- (2017) Morteza Sadeghi et al. REMOTE SENSING OF ENVIRONMENT
- Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval algorithms
- (2017) J.-P. Wigneron et al. REMOTE SENSING OF ENVIRONMENT
- Two new soil moisture indices based on the NIR-red triangle space of Landsat-8 data
- (2016) Meisam Amani et al. International Journal of Applied Earth Observation and Geoinformation
- Estimation of Soil Moisture from Optical and Thermal Remote Sensing: A Review
- (2016) Dianjun Zhang et al. SENSORS
- P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results
- (2015) Alireza Tabatabaeenejad et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Generalizing predictive models of forest inventory attributes using an area-based approach with airborne LiDAR data
- (2015) Marc Bouvier et al. REMOTE SENSING OF ENVIRONMENT
- In-Season Mapping of Crop Type with Optical and X-Band SAR Data: A Classification Tree Approach Using Synoptic Seasonal Features
- (2015) Paolo Villa et al. Remote Sensing
- Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data
- (2015) Iftikhar Ali et al. Remote Sensing
- Soil moisture monitoring in mountain areas by using high-resolution SAR images: results from a feasibility study
- (2014) L. Pasolli et al. EUROPEAN JOURNAL OF SOIL SCIENCE
- Modified Shortwave Infrared Perpendicular Water Stress Index: A Farmland Water Stress Monitoring Method
- (2013) Haixia Feng et al. Journal of Applied Meteorology and Climatology
- Evaluation of Radar Backscattering Models IEM, Oh, and Dubois for SAR Data in X-Band Over Bare Soils
- (2011) Nicolas Baghdadi et al. IEEE Geoscience and Remote Sensing Letters
- Estimating Soil Moisture With the Support Vector Regression Technique
- (2011) Luca Pasolli et al. IEEE Geoscience and Remote Sensing Letters
- Estimating biophysical parameters of rice with remote sensing data using support vector machines
- (2011) XiaoHua Yang et al. Science China-Life Sciences
- Estimating soil moisture using remote sensing data: A machine learning approach
- (2009) Sajjad Ahmad et al. ADVANCES IN WATER RESOURCES
- Estimating volumetric surface moisture content for cropped soils using a soil wetness index based on surface temperature and NDVI
- (2009) Kaniska Mallick et al. AGRICULTURAL AND FOREST METEOROLOGY
- Estimation of suspended sediment concentrations using Terra MODIS: An example from the Lower Yangtze River, China
- (2009) J.-J. Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
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