☆ 4.6 Article

Modelling soil moisture using climate data and normalized difference vegetation index based on nine algorithms in alpine grasslands

FRONTIERS IN ENVIRONMENTAL SCIENCE (2023)

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。

Article Agriculture, Multidisciplinary

Developing machine learning models with multisource inputs for improved land surface soil moisture in China

Lei Wang et al.

Summary: Accurate and spatially continuous land surface soil moisture data is important for heat transfer, energy exchange, and agricultural dryness analysis. This study used five machine learning models to map regional soil moisture and evaluated the importance of input features. The random forest regression model performed the best, and geographical location was identified as the most important factor in the soil moisture estimation model.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

添加到收藏夹

Article Geochemistry & Geophysics

Very High Spatial Resolution Soil Moisture Observation of Heterogeneous Subarctic Catchment Using Nonlocal Averaging and Multitemporal SAR Data

Terhikki Manninen et al.

Summary: A soil moisture estimation method has been developed for Sentinel-1 SAR data, utilizing PIMSAR nonlocal mean filtering and GBT machine learning for algorithm development, with successful results.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2022)

添加到收藏夹

Article Agronomy

Spatial-temporal modeling of root zone soil moisture dynamics in a vineyard using machine learning and remote sensing

Isaya Kisekka et al.

Summary: This study compared different models for predicting root zone soil moisture and found that data-driven machine learning models can accurately predict spatially distributed soil moisture by combining ground measurements and remote sensing.

IRRIGATION SCIENCE (2022)

添加到收藏夹

Article Agronomy

Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm

Bohao He et al.

Summary: This study proposes a new hybrid machine learning model (SVM-SWOA) that combines the Whale Optimization Algorithm (WOA) and support vector machine (SVM), which shows high convergence speed and accuracy. Results indicate that the SVM-SWOA model outperforms traditional SVM and SVMWOA models in estimating maize soil moisture, providing better guidance for smart agriculture and precision irrigation.

AGRICULTURAL WATER MANAGEMENT (2022)

添加到收藏夹

Article Geosciences, Multidisciplinary

Saline soil moisture mapping using Sentinel-1A synthetic aperture radar data and machine learning algorithms in humid region of China's east coast

Jianjun Wang et al.

Summary: This study investigates the potential of using Sentinel-1A SAR imagery and Machine Learning Algorithms for soil moisture (SM) mapping in China's east coast. The newly developed SVR model provides more accurate SM estimation than the RFR and MLR models, and can effectively map SM even without information on soil surface roughness, soil salinity, and land cover types.

CATENA (2022)

添加到收藏夹

Article Engineering, Civil

Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning

Jaese Lee et al.

Summary: This study combines three different soil moisture data sources using machine learning methods to improve daily soil moisture data generation. The proposed approach demonstrates better performance and quality in various evaluation metrics and datasets, and it shows robustness to topography and vegetation.

JOURNAL OF HYDROLOGY (2022)

添加到收藏夹

Article Environmental Sciences

Retrieval of Soil Moisture from FengYun-3D Microwave Radiation Imager Operational and Recalibrated Data Using Random Forest Regression

Chuanwen Wei et al.

Summary: This study evaluates the performance of retrieving global soil moisture using recalibrated MWRI data and compares it with data from the operational calibration. The results show that the recalibrated data performs well, with improved temporal and spatial coverage and accuracy compared to the operational data.

ATMOSPHERE (2022)

添加到收藏夹

Article Environmental Sciences

Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations

Fangni Lei et al.

Summary: High-resolution global soil moisture mapping is crucial for meteorological, hydrological, and agricultural applications. This study proposes a machine learning approach to map quasi-global soil moisture using CYGNSS mission's bistatic reflectance observations integrated with remote sensing products and SMAP data, providing daily 9 km soil moisture mapping.

REMOTE SENSING OF ENVIRONMENT (2022)

添加到收藏夹

Article Microbiology

Geo-Distribution Patterns of Soil Fungal Community of Pennisetum flaccidum in Tibet

Guangyu Zhang et al.

Summary: This study investigated the geographical distribution patterns of soil fungal community of P. flaccidum and its relationship with environmental factors. The results showed that soil fungal diversity had a closer correlation with longitude/elevation and precipitation had a stronger impact on the fungal community compared to temperature. This study also highlighted the importance of considering precipitation change in addition to global warming when studying the variation in soil fungal community of P. flaccidum.

JOURNAL OF FUNGI (2022)

添加到收藏夹

Article Environmental Sciences

A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm

Thu Thuy Nguyen et al.

Summary: This research presents a new approach using advanced machine learning models and multi-sensor data fusion to accurately predict soil moisture at a high spatial resolution in research areas of Australia. The XGBR-GA model, incorporating features derived from Sentinel and ALOS imagery, demonstrated the highest performance in soil moisture prediction compared to other machine learning models. This approach has significant implications for precision agriculture and drought resilience programs.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

添加到收藏夹

Article Chemistry, Analytical

Machine Learning Models for Enhanced Estimation of Soil Moisture Using Wideband Radar Sensor

Akileshwaran Uthayakumar et al.

Summary: This paper proposes machine learning models for estimating soil moisture content using a microwave radar sensor. Different machine learning models, including neural network, are trained and compared with a traditional contact-based sensor. The research shows that the neural network model performs the best in terms of accuracy.

SENSORS (2022)

添加到收藏夹

Article Environmental Sciences

A machine learning-based approach for generating high-resolution soil moisture from SMAP products

Yueyuan Zhang et al.

Summary: This study developed a machine learning-based approach to downscale coarse resolution passive microwave surface soil moisture (SSM) products. The downscaling models, based on random forest (RF) and long short-term memory network (LSTM), showed satisfactory performance in predicting SSM. The downscaled SSM maps maintained the spatiotemporal evolution trends of the original SMAP SSM products and correlated well with ground observations.

GEOCARTO INTERNATIONAL (2022)

添加到收藏夹

Article Agriculture, Multidisciplinary

Response of soil fungal species, phylogenetic and functional diversity to diurnal asymmetric warming in an alpine agricultural ecosystem

Zhiming Zhong et al.

Summary: This study investigated the impact of diurnal asymmetric warming on soil fungal diversity in an alpine agricultural system in Tibet. The results showed that nighttime warming significantly increased the abundance and species richness of soil fungi. However, warming did not have a significant effect on phylogenetic and functional diversity or composition. The study also found a correlation between soil fungal diversity and crop yield.

AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2022)

添加到收藏夹

Article Geosciences, Multidisciplinary

Comparison of bagging, boosting and stacking algorithms for surface soil moisture mapping using optical-thermal-microwave remote sensing synergies

Bappa Das et al.

Summary: Soil moisture information is crucial for water resource management, drought monitoring, and agricultural yield prediction. This study improved the prediction accuracy of soil moisture by fusing optical, thermal, and microwave remote sensing data using machine learning techniques, and stacking multiple machine learning models was recommended for digital soil moisture mapping.

CATENA (2022)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

SMETool: A web-based tool for soil moisture estimation based on Eo-Learn framework and Machine Learning methods

Noureddine Jarray et al.

Summary: Earth Observation technologies, combined with Machine Learning models, have become increasingly important in monitoring the Sustainable Development Goals. This paper introduces a web-based tool, SMETool, for estimating soil moisture using EO information. Experimental results show that CNN and RF models outperformed others in terms of performance.

ENVIRONMENTAL MODELLING & SOFTWARE (2022)

添加到收藏夹

Article Chemistry, Analytical

Spatial Interpolation of Gravimetric Soil Moisture Using EM38-mk Induction and Ensemble Machine Learning (Case Study from Dry Steppe Zone in Volgograd Region)

Anatoly Zeyliger et al.

Summary: The implementation of sustainable management in agriculture and the environment requires a deeper understanding and numerical description of soil genesis and properties. This study focuses on digital irrigated agriculture and proposes the use of proximal soil sensing and predictive soil mapping to reduce complexity and cost in soil research. The study utilized topographic variables and data from the Electromagnetic Induction Meter (EM38-mk) to create cartographic models of gravimetric soil moisture. The models showed satisfactory results, with the best performance reaching an R-cv(2) score of 0.59-0.64.

SENSORS (2022)

添加到收藏夹

Article Environmental Sciences

The Validation of Soil Moisture from Various Sources and Its Influence Factors in the Tibetan Plateau

Na Li et al.

Summary: The evaluation of soil moisture data in the Tibetan Plateau reveals an overestimation and underestimation of SMAP and ERA5 SM, with GLDAS-Noah SM performing the best at the regional scale. At the site scale, SMAP SM shows relatively high correlations and low errors, while the other three products underestimate the soil moisture in different degrees. Additionally, rainfall and normalized difference vegetation index (NDVI) show different correlations with the different SM products, and land surface temperature (LST) exhibits opposite correlations in different seasons.

REMOTE SENSING (2022)

添加到收藏夹

Review Environmental Sciences

Recent Progress on Modeling Land Emission and Retrieving Soil Moisture on the Tibetan Plateau Based on L-Band Passive Microwave Remote Sensing

Xiaojing Wu et al.

Summary: This paper reviews the research progress and applications of L-band passive microwave remote sensing on the Tibetan Plateau, highlighting existing problems and proposing relevant suggestions for improvement.

REMOTE SENSING (2022)

添加到收藏夹

Article Soil Science

Evaluation of machine learning algorithms in the prediction of hydraulic conductivity and soil moisture at the Brazilian Savannah

Mariana Faria Veloso et al.

Summary: The Brazilian Savannah is the main agricultural region in Brazil, but the intensification of agriculture has led to an increase in water disputes. The lack of soil hydraulic data in the region creates uncertainty in water resources management. Machine learning algorithms, particularly random forest and support vector regression models, showed good performance in predicting soil hydraulic properties and soil moisture.

GEODERMA REGIONAL (2022)

添加到收藏夹

Article Environmental Sciences

Multi-depth evolution characteristics of soil moisture over the Tibetan Plateau in the past 70 years using reanalysis products

Yangxiaoyue Liu et al.

Summary: This study investigated the fluctuation of multi-depth soil moisture across the Tibetan Plateau during 1950-2020 in the context of global warming. The research revealed a slight wetting trend in the soil moisture, with precipitation and snowmelt identified as the dominant drivers causing spatial and temporal variations.

FRONTIERS IN ENVIRONMENTAL SCIENCE (2022)

添加到收藏夹

Article Geosciences, Multidisciplinary

Estimating soil moisture conditions for drought monitoring with random forests and a simple soil moisture accounting scheme

Yves Tramblay et al.

Summary: Soil moisture is crucial for drought monitoring, but the networks for measuring soil moisture are limited. This study regionalized a soil moisture accounting model using a high-resolution land-surface model as reference. Two approaches for estimating soil water holding capacity were compared, and the results showed that the random forest model estimates were more robust, especially for low soil moisture levels. Therefore, this proposed approach can simulate daily soil moisture and monitor soil moisture droughts in the absence of high-resolution soil maps.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2022)

添加到收藏夹

Article Environmental Sciences

Responses of plant, soil bacterial and fungal communities to grazing vary with pasture seasons and grassland types, northern Tibet

Haorui Zhang et al.

Summary: The synthetic responses of plant and soil microbial communities to grazing in alpine grasslands on the Tibetan Plateau are indefinite. The effects of grazing on plant and soil microbial communities may vary with grassland types and pasture seasons, which may be related to grazing-induced changes in available nitrogen, the ratio of available nitrogen to phosphorus, and soil moisture.

LAND DEGRADATION & DEVELOPMENT (2021)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Retrieving Accurate Soil Moisture over the Tibetan Plateau Using Multisource Remote Sensing Data Assimilation with Simultaneous State and Parameter Estimations

Weijing Chen et al.

Summary: This study establishes a multisource remote sensing data assimilation framework to improve the accuracy of soil moisture estimation over the Tibetan Plateau. The integration of multiple satellite data sources with a land surface model shows promising results in estimating soil moisture, especially in shallow soil layers. The assimilation experiments demonstrated advantages in improving soil moisture and temperature simulation compared to default parameters.

JOURNAL OF HYDROMETEOROLOGY (2021)

添加到收藏夹

Article Agronomy

Spatio-temporal assessment of beech growth in relation to climate extremes in Slovenia - An integrated approach using remote sensing and tree-ring data

Mathieu Decuyper et al.

AGRICULTURAL AND FOREST METEOROLOGY (2020)

添加到收藏夹

Article Environmental Sciences

Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data

Chunfeng Ma et al.

REMOTE SENSING (2020)

添加到收藏夹

Article Environmental Sciences

Trends in Long-Term Drought Changes in the Mekong River Delta of Vietnam

Vu Hien Phan et al.

REMOTE SENSING (2020)

添加到收藏夹

Article Environmental Sciences

Soil Moisture Estimation for the Chinese Loess Plateau Using MODIS-derived ATI and TVDI

Lina Yuan et al.

REMOTE SENSING (2020)

添加到收藏夹

Article Soil Science

Evaluation of reanalysis soil temperature and soil moisture products in permafrost regions on the Qinghai-Tibetan Plateau

Shuhua Yang et al.

GEODERMA (2020)

添加到收藏夹

Article Environmental Sciences

Response of plant production to growing/non-growing season asymmetric warming in an alpine meadow of the Northern Tibetan Plateau

Gang Fu et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

添加到收藏夹

Article Environmental Sciences

Effects of 7 years experimental warming on soil bacterial and fungal community structure in the Northern Tibet alpine meadow at three elevations

Chengqun Yu et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

添加到收藏夹

Article Remote Sensing

Mapping soil moisture across the Tibetan Plateau plains using Aquarius active and passive L-band microwave observations

Qiang Wang et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2019)

添加到收藏夹

Article Environmental Sciences

A Study on the Assessment of Multi-Source Satellite Soil Moisture Products and Reanalysis Data for the Tibetan Plateau

Meilin Cheng et al.

REMOTE SENSING (2019)

添加到收藏夹

Article Environmental Sciences

Characterization of drought monitoring events through MODIS-and TRMM-based DSI and TVDI over South Asia during 2001-2017

Shahzad Ali et al.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2019)

添加到收藏夹

Article Environmental Sciences

Effects of experimental warming and increased precipitation on soil respiration in an alpine meadow in the Northern Tibetan Plateau

Cheng-Qun Yu et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2019)

添加到收藏夹

Article Green & Sustainable Science & Technology

Analysis of the Drought Mitigated Mechanism in Terraced Paddy Fields Using CWSI and TVDI Indices and Hydrological Monitoring

Atiqotun Fitriyah et al.

SUSTAINABILITY (2019)

添加到收藏夹

Article Agronomy

Increased precipitation has stronger effects on plant production of an alpine meadow than does experimental warming in the Northern Tibetan Plateau

Gang Fu et al.

AGRICULTURAL AND FOREST METEOROLOGY (2018)

添加到收藏夹

Article Engineering, Environmental

Comparisons of remote sensing and reanalysis soil moisture products over the Tibetan Plateau, China

Waheed Ullah et al.

COLD REGIONS SCIENCE AND TECHNOLOGY (2018)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Detecting hydrological consistency between soil moisture and precipitation and changes of soil moisture in summer over the Tibetan Plateau

X. Meng et al.

CLIMATE DYNAMICS (2018)

添加到收藏夹

Article Geosciences, Multidisciplinary

Assessment of PDI, MPDI and TVDI drought indices derived from MODIS Aqua/Terra Level 1B data in natural lands

Samaneh Zormand et al.

NATURAL HAZARDS (2017)

添加到收藏夹

Article Multidisciplinary Sciences

Clipping has stronger effects on plant production than does warming in three alpine meadow sites on the Northern Tibetan Plateau

Gang Fu et al.

SCIENTIFIC REPORTS (2017)

添加到收藏夹

Article Environmental Sciences

First Assessment of Sentinel-1A Data for Surface Soil Moisture Estimations Using a Coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau

Xiaojing Bai et al.

REMOTE SENSING (2017)

添加到收藏夹

Article Water Resources

Four decades of microwave satellite soil moisture observations: Part 2. Product validation and inter-satellite comparisons

L. Karthikeyan et al.

ADVANCES IN WATER RESOURCES (2017)

添加到收藏夹

Article Remote Sensing

Relationships Between Vegetation Carbon Use Efficiency and Climatic Factors on the Tibetan Plateau

Gang Fu et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

添加到收藏夹

Article Engineering, Environmental

Comparison of remotely-sensed and modeled soil moisture using CLM4.0 with in situ measurements in the central Tibetan Plateau area

Shaobo Sun et al.

COLD REGIONS SCIENCE AND TECHNOLOGY (2016)

添加到收藏夹

Article Engineering, Civil

Validation and reconstruction of FY-3B/MWRI soil moisture using an artificial neural network based on reconstructed MODIS optical products over the Tibetan Plateau

Yaokui Cui et al.

JOURNAL OF HYDROLOGY (2016)

添加到收藏夹

Article Plant Sciences

Response of Alpine Plants to Nitrogen Addition on the Tibetan Plateau: A Meta-analysis

Gang Fu et al.

JOURNAL OF PLANT GROWTH REGULATION (2016)

添加到收藏夹

Article Remote Sensing

Relationships Between Vegetation Carbon Use Efficiency and Climatic Factors on the Tibetan Plateau

Gang Fu et al.

CANADIAN JOURNAL OF REMOTE SENSING (2016)

添加到收藏夹

Article Multidisciplinary Sciences

Response of soil respiration to experimental warming in a highland barley of the Tibet

Zhi-Ming Zhong et al.

SPRINGERPLUS (2016)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Comparison of soil moisture in GLDAS model simulations and in situ observations over the Tibetan Plateau

Haiyun Bi et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2016)

添加到收藏夹

Article Soil Science

Response of soil respiration to short-term experimental warming and precipitation pulses over the growing season in an alpine meadow on the Northern Tibet

Zhen-Xi Shen et al.

APPLIED SOIL ECOLOGY (2015)

添加到收藏夹

Article Ecology

Interannual variation of the growing season maximum normalized difference vegetation index, MNDVI, and its relationship with climatic factors on the Tibetan Plateau

Shao-Hua Wang et al.

POLISH JOURNAL OF ECOLOGY (2015)

添加到收藏夹

Article Environmental Sciences

Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations

Jiangyuan Zeng et al.

REMOTE SENSING OF ENVIRONMENT (2015)

添加到收藏夹

Article Environmental Sciences

Relationship between the Growing Season Maximum Enhanced Vegetation Index and Climatic Factors on the Tibetan Plateau

Zhenxi Shen et al.

REMOTE SENSING (2014)

添加到收藏夹

Article Geosciences, Multidisciplinary

Long term soil moisture mapping over the Tibetan plateau using Special Sensor Microwave/Imager

R. van der Velde et al.

HYDROLOGY AND EARTH SYSTEM SCIENCES (2014)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Evaluation of AMSR-E retrievals and GLDAS simulations against observations of a soil moisture network on the central Tibetan Plateau

Yingying Chen et al.

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2013)

添加到收藏夹

Article Soil Science

Response of soil microbial biomass to short-term experimental warming in alpine meadow on the Tibetan Plateau

Gang Fu et al.

APPLIED SOIL ECOLOGY (2012)

添加到收藏夹

Article Meteorology & Atmospheric Sciences

Comparisons of soil moisture datasets over the Tibetan Plateau and application to the simulation of Asia summer monsoon onset

Bao Qing et al.

ADVANCES IN ATMOSPHERIC SCIENCES (2010)

添加到收藏夹

Article Biodiversity Conservation

Dynamic and complex microclimate responses to warming and grazing manipulations

JA Klein et al.

GLOBAL CHANGE BIOLOGY (2005)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.