Results 131 to 140 of about 2,336,597 (324)

Evaluation of SMAP, SMOS-IC, FY3B, JAXA, and LPRM Soil Moisture Products over the Qinghai-Tibet Plateau and Its Surrounding Areas

open access: yesRemote Sensing, 2019
High-quality and long time-series soil moisture (SM) data are increasingly required for the Qinghai-Tibet Plateau (QTP) to more accurately and effectively assess climate change.
Jin Liu   +10 more
doaj   +1 more source

Optimizing Agricultural Drought Monitoring in East Africa: Evaluating Integrated Soil Moisture and Vegetation Health Index (SM-VHI)

open access: yesRemote Sensing
This study presents a comprehensive analysis of the integrated Soil Moisture–Vegetation Health Index (SM-VHI) as a robust tool for drought detection and agricultural monitoring across East Africa using data from 2000 to 2020. A sensitivity analysis within the SM-VHI algorithm identified an optimal parameter weighting (α = 0.5), which improved detection
Albert Poponi Maniraho   +7 more
openaire   +1 more source

Soil Moisture Prediction in Pavement Layers Using LSTM Neural Networks

open access: yesGeotechnical and Geological Engineering
Moisture content in geomaterials critically impacts road construction. Optimising the Optimum Moisture Content (OMC) during compaction reduces energy usage and construction costs, but materials often require adjustments upon delivery to reach OMC.
Amir Tophel   +3 more
semanticscholar   +1 more source

Is quinoa‐farming sustainable in marginal environments? Social, economical and environmental aspects

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Quinoa (Chenopodium quinoa Willd.) is an Andean grain crop introduced as a novel crop to many parts of the world in recent years. Recognized for nutritious seeds and high abiotic stress tolerance, it has been promoted as an element of climate‐resilient agriculture, particularly in marginal environments.
Anna Tabea Mengen   +5 more
wiley   +1 more source

Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review

open access: yesRemote Sensing
Soil moisture (SM) is a key variable driving hydrologic, climatic, and ecological processes. Although it is highly variable, both spatially and temporally, there is limited data availability to inform about SM conditions at adequate spatial and temporal ...
I. P. Senanayake   +5 more
semanticscholar   +1 more source

The effects of soil compaction on wheat seedling root growth are specific to soil texture and soil moisture status [PDF]

open access: yes
Soil structure is a crucial soil physical property that determines a soil's ability to support the growth and development of plants. Soil compaction modifies soil structure by reducing pore space between soil particles thereby leading to a denser soil ...
Cooper, H.   +21 more
core   +1 more source

Physical and Chemical Characterization of Soil in Urban Solid Waste Disposal Area

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Waste generation and subsequent disposal in adequate sites still have limitations in some Brazilian municipalities. Therefore, environmental monitoring of these areas is extremely important, as it helps to preserve the environment. The purpose of this study is to analyze the chemical and physical parameters of soil in a landfill area. For this,
Mayara Aline Bones   +9 more
wiley   +1 more source

Hydrologic validation of remote sensing soil moisture product

open access: yes, 2013
Soil moisture represents a fundamental quantity to understand the interaction between the land surface and the atmosphere. As widely-known, it can be estimated through modelling approaches, in situ measurements and satellite sensors.
Albergel C.   +12 more
core   +1 more source

Can current moisture responses predict soil CO2 efflux under altered precipitation regimes?: a synthesis of manipulation experiments [PDF]

open access: yes, 2014
As a key component of the carbon cycle, soil CO2 efflux (SCE) is being increasingly studied to improve our mechanistic understanding of this important carbon flux. Predicting ecosystem responses to climate change often depends on extrapolation of current
Janssens, I.A.   +259 more
core   +4 more sources

Cropland Suitability–Use Mismatches and Differentiated Zoning Regulation in the North China Plain: Implications for Spatially Optimised and Sustainable Land Use

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Cropland distribution is often shaped by historical cultivation patterns rather than natural suitability, leading to mismatches between actual land use and agricultural production potential. However, their extent and spatial characteristics remain insufficiently understood in the North China Plain, one of China's most important grain‐producing
Congjie Cao   +8 more
wiley   +1 more source

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