Results 211 to 220 of about 12,560 (258)

Unraveling plant phenotype to genotype associations with daily hyperspectral traits in <i>Populus trichocarpa</i>. [PDF]

Plant Phenomics
Klein MC, Wong CY, Monroe JG, Bailey-Bale J, Buckley TN, Chen JG, Shu M, Tschaplinski TJ, Tuskan GA, Magney TS, Taylor G.   +10 more
europepmc   +1 more source

Net Primary Productivity Retrieval Based on ESTARFM Fusion and an Improved CASA Model. [PDF]

Plants (Basel)
Cai Y, Chen C, Li W, Han H, Ren Z, Wang Z, Feng Z.   +6 more
europepmc   +1 more source

Integrating Multi-Source and Multi-Temporal UAV Observations to Improve Wheat Yield Prediction Using Machine Learning. [PDF]

Plants (Basel)
Chen C, Liu J, Deng Y, Guo R, Yao W, Yang T, Zhang W, Liu T, Jin X, Xiong W, Li D.   +10 more
europepmc   +1 more source

Satellite remote sensing enables monitoring of soil organic carbon decline in croplands of Jilin China. [PDF]

Sci Rep
Xu Z, Hou, Lin N, Liu W, Dong T, Chen H, Wang Z.   +6 more
europepmc   +1 more source

An Integrated Pixel-Level Reflectance Adjustment (IPRA) for Harmonizing GF-1/6 WFV and Sentinel-2 MSI Data. [PDF]

Sensors (Basel)
Shi J, Gu X, Liu Y, Ding Y, Zhang Q, Yang Y.   +5 more
europepmc   +1 more source

Reflectance anisotropy effects in optical remote sensing data

, 2016
openaire   +1 more source

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Model for the interpretation of hyperspectral remote-sensing reflectance

Applied Optics, 1994
Remote-sensing reflectance is easier to interpret for the open ocean than for coastal regions because the optical signals are highly coupled to the phytoplankton (e.g., chlorophyll) concentrations. For estuarine or coastal waters, variable terrigenous colored dissolved organic matter (CDOM), suspended sediments, and bottom reflectance, all factors that
Z, Lee, K L, Carder, S K, Hawes, R G, Steward, T G, Peacock, C O, Davis   +5 more
openaire   +2 more sources

Errors in the remotely sensed ocean reflectance

Advances in Space Research, 1987
Abstract An approximate method has been described to determine optical properties of the ocean surface from the reflected short-wave radiance at the top of the atmosphere. The non-scattered and singly scattered components of the radiation field have been taken into account exactly, the multiply scattered components - approximately.
S. Keevallik, A. Heinlo
openaire   +1 more source

Remote sensing reflectance anomalies in the ocean

Remote Sensing of Environment, 2016
Small spectral differences from the mean remote sensing reflectance (Rrs) of the ocean – anomalies – can provide unique environmental information from ocean color satellite data. First, we describe the average relationship between three input spectral bands and an output band by developing a look-up table (LUT) based on the fully normalized Rrs from ...
Huot, Yannick, Antoine, David
openaire   +2 more sources

Modeling the remote-sensing reflectance of highly turbid waters

Applied Optics, 2019
In ocean-color remote sensing, subsurface remote-sensing reflectance (r r s ) of optically deep waters can be linked to its absorption (a) and backscattering coefficients (b b ) by various models. The use of such models allows for quick calculations r r s from such coefficients, eliminating the need to solve the radiative transfer equation.
Joel Wong, Soo Chin Liew, Elizabeth Wong, Zhongping Lee   +3 more
openaire   +2 more sources