A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm
出版年份 2022 全文链接
标题
A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm
作者
关键词
-
出版物
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 833, Issue -, Pages 155066
出版商
Elsevier BV
发表日期
2022-04-07
DOI
10.1016/j.scitotenv.2022.155066
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。- Drought monitoring using high spatial resolution soil moisture data over Australia in 2015–2019
- (2021) Bin Fang et al. JOURNAL OF HYDROLOGY
- The use of radar and optical satellite imagery combined with advanced machine learning and metaheuristic optimization techniques to detect and quantify above ground biomass of intertidal seagrass in a New Zealand estuary
- (2021) Nam Thang Ha et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Machine learning algorithms for soil moisture estimation using Sentinel-1: Model development and implementation
- (2021) Sumit Kumar Chaudhary et al. ADVANCES IN SPACE RESEARCH
- Estimating catchment scale soil moisture at a high spatial resolution: Integrating remote sensing and machine learning
- (2021) I.P. Senanayake et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data
- (2021) Samet Aksoy et al. ADVANCES IN SPACE RESEARCH
- Using multimodal remote sensing data to estimate regional-scale soil moisture content: A case study of Beijing, China
- (2021) Minghan Cheng et al. AGRICULTURAL WATER MANAGEMENT
- Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape
- (2021) Anneli M. Ågren et al. GEODERMA
- Prediction of desert locust breeding areas using machine learning methods and SMOS (MIR_SMNRT2) Near Real Time product
- (2021) Diego Gómez et al. JOURNAL OF ARID ENVIRONMENTS
- Multi-layer high-resolution soil moisture estimation using machine learning over the United States
- (2021) L. Karthikeyan et al. REMOTE SENSING OF ENVIRONMENT
- A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion
- (2021) Thu Thuy Nguyen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Downscaling satellite soil moisture for landscape applications: A case study in Delaware, USA
- (2021) Daniel L. Warner et al. Journal of Hydrology-Regional Studies
- Farming systems and their business strategies in south-western Australia: A decadal assessment of their profitability
- (2020) Ross Kingwell et al. AGRICULTURAL SYSTEMS
- Mapping soil organic carbon content using multi-source remote sensing variables in the Heihe River Basin in China
- (2020) Tao Zhou et al. ECOLOGICAL INDICATORS
- High-resolution digital mapping of soil organic carbon and soil total nitrogen using DEM derivatives, Sentinel-1 and Sentinel-2 data based on machine learning algorithms
- (2020) Tao Zhou et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Accuracy assessment of ALOS AW3D30 DSM and comparison to ALOS PRISM DSM created with classical photogrammetric techniques
- (2020) Konstantinos G Nikolakopoulos European Journal of Remote Sensing
- Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data
- (2020) Chunfeng Ma et al. Remote Sensing
- Modelling desert locust presences using 32-year soil moisture data on a large-scale
- (2020) Diego Gómez et al. ECOLOGICAL INDICATORS
- Development of a tailored combination of machine learning approaches to model volumetric soil water content within a mesic forest in the Pacific Northwest
- (2020) Andres Schmidt et al. JOURNAL OF HYDROLOGY
- Synergetic utilization of sentinel-1 SAR and sentinel-2 optical remote sensing data for surface soil moisture estimation for Rupnagar, Punjab, India
- (2020) Akshar Tripathi et al. Geocarto International
- Short term soil moisture forecasts for potato crop farming: A machine learning approach
- (2020) Amaury Dubois et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach
- (2020) Tien Dat Pham et al. GIScience & Remote Sensing
- Root zone soil moisture estimation with Random Forest
- (2020) Coleen Carranza et al. JOURNAL OF HYDROLOGY
- Topographic Wetness Index calculation guidelines based on measured soil moisture and plant species composition
- (2020) Martin Kopecký et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
- (2019) Xiangyu Ge et al. PeerJ
- Retrieval of Evapotranspiration from Sentinel-2: Comparison of Vegetation Indices, Semi-Empirical Models and SNAP Biophysical Processor Approach
- (2019) Nieves Pasqualotto et al. Agronomy-Basel
- Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
- (2018) Ramendra Prasad et al. GEODERMA
- Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting
- (2018) Stefanos Georganos et al. IEEE Geoscience and Remote Sensing Letters
- Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas
- (2017) Mohammad El Hajj et al. Remote Sensing
- UAVs challenge to assess water stress for sustainable agriculture
- (2015) J. Gago et al. AGRICULTURAL WATER MANAGEMENT
- Very high-resolution digital elevation models: are multi-scale derived variables ecologically relevant?
- (2015) Kevin Leempoel et al. Methods in Ecology and Evolution
- Soil type recognition as improved by genetic algorithm-based variable selection using near infrared spectroscopy and partial least squares discriminant analysis
- (2015) Hongtu Xie et al. Scientific Reports
- Improving forest operations planning through high-resolution flow-channel and wet-areas mapping
- (2014) Paul N.C. Murphy et al. FORESTRY CHRONICLE
- Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation
- (2013) William James Frampton et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- The ASCAT Soil Moisture Product: A Review of its Specifications, Validation Results, and Emerging Applications
- (2013) Wolfgang Wagner et al. METEOROLOGISCHE ZEITSCHRIFT
- Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll Content
- (2011) Jesús Delegido et al. SENSORS
- Exploring the impact of R&D and climate change on agricultural productivity growth: the case of Western Australia*
- (2010) Ruhul A. Salim et al. AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS
- Soil organic carbon and total nitrogen as affected by vegetation types in Northern Loess Plateau of China
- (2010) Xiaoli Fu et al. GEODERMA
- The Soil Moisture Active Passive (SMAP) Mission
- (2010) Dara Entekhabi et al. PROCEEDINGS OF THE IEEE
- Soil Moisture Measurement for Ecological and Hydrological Watershed-Scale Observatories: A Review
- (2008) D. A. Robinson et al. VADOSE ZONE JOURNAL
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started