Soil Moisture Retrieval in Farmland Areas with Sentinel Multi-Source Data Based on Regression Convolutional Neural Networks
出版年份 2021 全文链接
标题
Soil Moisture Retrieval in Farmland Areas with Sentinel Multi-Source Data Based on Regression Convolutional Neural Networks
作者
关键词
-
出版物
SENSORS
Volume 21, Issue 3, Pages 877
出版商
MDPI AG
发表日期
2021-01-28
DOI
10.3390/s21030877
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Data assimilation of high-resolution thermal and radar remote sensing retrievals for soil moisture monitoring in a drip-irrigated vineyard
- (2020) Fangni Lei et al. REMOTE SENSING OF ENVIRONMENT
- Feature Dimension Reduction Using Stacked Sparse Auto-Encoders for Crop Classification with Multi-Temporal, Quad-Pol SAR Data
- (2020) Jiao Guo et al. Remote Sensing
- ALOS-2 and Sentinel-1 SAR data sensitivity analysis to surface soil moisture over bare and vegetated agricultural fields
- (2020) Aliihsan Sekertekin et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Retrieving soil moisture in rainfed and irrigated fields using Sentinel-2 observations and a modified OPTRAM approach
- (2020) Mariapaola Ambrosone et al. International Journal of Applied Earth Observation and Geoinformation
- Validation practices for satellite soil moisture retrievals: What are (the) errors?
- (2020) A. Gruber et al. REMOTE SENSING OF ENVIRONMENT
- High-Precision Soil Moisture Mapping Based on Multi-Model Coupling and Background Knowledge, Over Vegetated Areas Using Chinese GF-3 and GF-1 Satellite Data
- (2020) Leran Han et al. Remote Sensing
- Comparative Analysis of Landsat-8, Sentinel-2, and GF-1 Data for Retrieving Soil Moisture over Wheat Farmlands
- (2020) Qi Wang et al. Remote Sensing
- 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
- Soil Moisture Retrieval From SAR and Optical Data Using a Combined Model
- (2019) Liangliang Tao et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Analysis of L-Band SAR Data for Soil Moisture Estimations over Agricultural Areas in the Tropics
- (2019) Mehrez Zribi et al. Remote Sensing
- Refining a Polarimetric Decomposition of Multi-Angular UAVSAR Time Series for Soil Moisture Retrieval Over Low and High Vegetated Agricultural Fields
- (2019) Hongquan Wang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Soil moisture retrieval from Sentinel-1 acquisitions in an arid environment in Tunisia: application of Artificial Neural Networks techniques
- (2019) A. Hachani et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China
- (2019) Jiancan Tan et al. SENSORS
- Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks
- (2019) Hamid Reza Mirsoleimani et al. SENSORS
- Retrieving Surface Soil Moisture over Wheat and Soybean Fields during Growing Season Using Modified Water Cloud Model from Radarsat-2 SAR Data
- (2019) Minfeng Xing et al. Remote Sensing
- Soybean yield prediction from UAV using multimodal data fusion and deep learning
- (2019) Maitiniyazi Maimaitijiang et al. REMOTE SENSING OF ENVIRONMENT
- 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
- Crop Classification Based on Differential Characteristics of H/α Scattering Parameters for Multitemporal Quad- and Dual-Polarization SAR Images
- (2018) Jiao Guo et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Estimation of Soil Moisture in Vegetation-Covered Floodplains with Sentinel-1 SAR Data Using Support Vector Regression
- (2018) Ann-Kathrin Holtgrave et al. PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science
- A Coupling Model for Soil Moisture Retrieval in Sparse Vegetation Covered Areas Based on Microwave and Optical Remote Sensing Data
- (2018) Jinling Kong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Combining of the H/A/Alpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data
- (2018) Qiuxia Xie et al. Advances in Meteorology
- Synergetic Use of Sentinel-1 and Sentinel-2 Data for Soil Moisture Mapping at Plot Scale
- (2018) Reza Attarzadeh et al. Remote Sensing
- Deep learning based multi-temporal crop classification
- (2018) Liheng Zhong et al. REMOTE SENSING OF ENVIRONMENT
- The Value of SMAP for Long-Term Soil Moisture Estimation With the Help of Deep Learning
- (2018) Kuai Fang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Soil Moisture Estimation over Vegetated Agricultural Areas: Tigris Basin, Turkey from Radarsat-2 Data by Polarimetric Decomposition Models and a Generalized Regression Neural Network
- (2017) Mehmet Özerdem et al. Remote Sensing
- Estimation of Vegetation Parameters of Water Cloud Model for Global Soil Moisture Retrieval Using Time-Series L-Band Aquarius Observations
- (2016) Chenzhou Liu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Coupling SAR C-Band and Optical Data for Soil Moisture and Leaf Area Index Retrieval Over Irrigated Grasslands
- (2016) Nicolas N. Baghdadi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A practical algorithm for estimating surface soil moisture using combined optical and thermal infrared data
- (2016) Pei Leng et al. International Journal of Applied Earth Observation and Geoinformation
- Soil moisture retrieval over irrigated grassland using X-band SAR data
- (2016) Mohammad El Hajj et al. REMOTE SENSING OF ENVIRONMENT
- Estimation of Soil Moisture from Optical and Thermal Remote Sensing: A Review
- (2016) Dianjun Zhang et al. SENSORS
- Nondestructive Detection of Soluble Solids Content of Apples from Dielectric Spectra with ANN and Chemometric Methods
- (2015) Wenchuan Guo et al. Food and Bioprocess Technology
- The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China
- (2015) Xiang Zhang et al. Remote Sensing
- Soil moisture derived using two apparent thermal inertia functions over Canterbury, New Zealand
- (2014) Mammatt Sohrabinia et al. Journal of Applied Remote Sensing
- Estimation of Soil Moisture and Surface Roughness From Single-Polarized Radar Data for Bare Soil Surface and Comparison With Dual- and Quad-Polarization Cases
- (2013) Soon-Koo Kweon et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation
- (2013) S. Paloscia et al. REMOTE SENSING OF ENVIRONMENT
- Multi-Objective Parameter Optimization in Support Vector Regression: General Formulation and Application to the Retrieval of Soil Moisture From Remote Sensing Data
- (2012) L. Pasolli et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications
- (2012) Kurt C. Kornelsen et al. JOURNAL OF HYDROLOGY
- Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops
- (2010) A Balenzano et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Potential of Estimating Soil Moisture Under Vegetation Cover by Means of PolSAR
- (2009) Irena Hajnsek et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Soil moisture estimation over vegetated terrains using multitemporal remote sensing data
- (2009) Nazzareno Pierdicca et al. REMOTE SENSING OF ENVIRONMENT
- The potential of different ANN techniques in evapotranspiration modelling
- (2007) Ozgur Kisi HYDROLOGICAL PROCESSES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search