Results 101 to 110 of about 1,783 (172)

VE-MLM: A variable endmember-based multilinear mixing framework for crop FAPAR estimation using UAV multispectral imagery. [PDF]

Plant Phenomics
Yuan N, Liu Y, Zhang C, Li Y, Ma L, Peng Y, Wu X, Zhu R, Gong Y, Fang S.   +9 more
europepmc   +1 more source

Optimality principles explaining divergent responses of alpine vegetation to environmental change. [PDF]

Glob Chang Biol, 2023
Zhu Z, Wang H, Harrison SP, Prentice IC, Qiao S, Tan S.   +5 more
europepmc   +1 more source

Global estimation of bankfull river discharge reveals distinct flood recurrences across climate zones. [PDF]

Nat Commun
Liu Y, Wortmann M, Hawker L, Neal J, Yin J, Santos MS, Anderson B, Boothroyd R, Nicholas A, Smith GS, Ashworth PJ, Cloke H, Gebrechorkos S, Leyland J, Zhang B, Vahidi E, Griffith H, Delorme P, McLelland SJ, Parsons DR, Darby SE, Slater L.   +21 more
europepmc   +1 more source

Long-term gridded land evapotranspiration reconstruction using Deep Forest with high generalizability. [PDF]

Sci Data, 2023
Feng Q, Shen J, Yang F, Liang S, Liu J, Kuang X, Wang D, Zeng Z.   +7 more
europepmc   +1 more source

The role of a novel normalized dynamically adjusted vegetation index (NDAVI) based on remotely sensed absorption coefficient for estimating crop fAPAR: a case study of rice (<i>Oryza sativa</i> L.). [PDF]

Plant Phenomics
Fang S, Li Y, Ge M, Yuan N, Peng Y, Gong Y, Liu Y, Zhu R, Wu X.   +8 more
europepmc   +1 more source

Timeseries of multispectral and radar data and vegetation indices from Sentinel-1, Sentinel-2 and Landsat-8 at field scale. [PDF]

Data Brief
Frappart F, Ygorra B, Baup F, Martin-Comte A, Gross K, Fieuzal R, Battista C, Riazanoff S.   +7 more
europepmc   +1 more source

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine. [PDF]

Remote Sens (Basel), 2022
Reyes-Muñoz P, Pipia L, Salinero-Delgado M, Belda S, Berger K, Estévez J, Morata M, Rivera-Caicedo JP, Verrelst J.   +8 more
europepmc   +1 more source

A unifying principle for global greenness patterns and trends

, 2023
Cai W, Zhu Z, Harrison S, Ryu Y, Wang H, Zhou B, Prentice I.   +6 more
europepmc   +2 more sources

Construcción de mapas de LAI y fAPAR de la reserva de la biósfera mariposa monarca y su comparación con mapas globales

, 2014
La Reserva de la Biosfera Mariposa Monarca (RBMM) presenta un nivel crítico de deforestación que pone en peligro el fenómeno migratorio de la mariposa.

core  

The Interrelationship Between Water Use Efficiency and Radiation Use Efficiency Under Progressive Soil Drying in Maize. [PDF]

Front Plant Sci, 2021
Zhou H, Zhou G, Zhou L, Lv X, Ji Y, Zhou M.   +5 more
europepmc   +1 more source