Results 161 to 170 of about 24,094 (262)
Comparison of Landsat and Land-Based Phenology Camera Normalized Difference Vegetation Index (NDVI) for Dominant Plant Communities in the Great Basin. [PDF]
Snyder KA +4 more
europepmc +1 more source
Prospective multi‐site cohorts, multi‐omics profiling, and computational analysis may help identify biomarker patterns across clinical settings in IBD and superimposed infections. With further mechanistic and clinical validation, these signals could support the development of practical multi‐analyte tools for more precise diagnosis and management ...
Ziyu Yang +7 more
wiley +1 more source
PAN, Paipai +3 more
openaire +2 more sources
Normalized Difference Vegetation Index with Atmospheric Correction for Satellite Images
openaire +1 more source
ABSTRACT Climate change is making water availability more uncertain, with growing consequences for the productivity and long‐term sustainability of tropical and subtropical fruit orchards. Mangifera indica L. and Persea americana Mill. both require large amounts of water to sustain growth and productivity.
Eleonora Cataldo
wiley +1 more source
Deeper roots associated with cooler canopies, higher normalized difference vegetation index, and greater yield in three wheat populations grown on stored soil water. [PDF]
Li X +6 more
europepmc +1 more source
ABSTRACT This study develops an integrated simulation–optimization framework for sustainable crop allocation and water resource management in the Bargarh Canal Command (BCC), eastern India. Efficient irrigation allocation remains a critical challenge due to competing demands, groundwater–surface water interactions and environmental constraints ...
Priyanka Mohapatra +2 more
wiley +1 more source
Multifractal Downscaling of Rainfall Using Normalized Difference Vegetation Index (NDVI) in the Andes Plateau. [PDF]
Duffaut Espinosa LA +3 more
europepmc +1 more source
Drought Assessment using Standardized Precipitation Index and Normalized Difference Vegetation Index
Aishwarya Panda +3 more
openaire +1 more source
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin +4 more
wiley +1 more source

