Results 281 to 290 of about 264,509 (333)

Solar radiation differences drive karst sun and shade leaf carbon sink contribution shifts. [PDF]

open access: yesCarbon Balance Manag
Du J   +6 more
europepmc   +1 more source

Evapotranspiration Changes Driven by Soil Moisture are Misrepresented in Climate Models

open access: yes
Hsu H   +8 more
europepmc   +1 more source

Optimized spectral index models for accurately retrieving soil moisture (SM) of winter wheat under water stress

Agricultural Water Management, 2022
Abstract Soil moisture (SM) is an important indicator of the photosynthetic rate and growth status of crops. A few related parameters, such as the red-edge parameters and spectral indices, have been adopted for retrieving the SM of winter wheat. To further study their abilities to detect the SM, field-scale water stress experiments on winter wheat ...
Shoujia Ren   +5 more
semanticscholar   +2 more sources

Long-term changes in surface soil moisture based on CCI SM in Yunnan Province, Southwestern China

Journal of Hydrology, 2020
Abstract Soil moisture (SM) plays an important role in regional runoff variations, energy dynamics, and vegetation productivity. It is also widely used to detecting agricultural drought. Recently, a severe drought occurred in Yunnan Province in southwestern China, so long-term changes in surface SM were of concern.
Siyu Ma   +3 more
openaire   +1 more source

Spatial Representativeness of Soil Moisture Stations and Its Influential Factors at a Global Scale

IEEE Transactions on Geoscience and Remote Sensing
The spatial representativeness error of in situ soil moisture (SM) is recognized as a major source of uncertainty when validating satellite SM products with a spatial resolution of tens of kilometers.
Chenchen Peng   +7 more
semanticscholar   +1 more source

Soil Moisture Prediction Using Remote Sensing and Machine Learning Algorithms: A Review on Progress, Challenges, and Opportunities

Remote Sensing
Machine learning (ML) has gained significant attention for unraveling the complex, nonlinear relationships between soil moisture (SM) and various predictive variables, including remote sensing (RS; reflectance, brightness temperature, backscatter ...
M. Lamichhane, S. Mehan, Kyle R. Mankin
semanticscholar   +1 more source

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