Enhancing grassland nitrogen estimation : a multiscale approach through optical reflectance spectroscopy and hybrid modeling techniques : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Earth Science at Massey University, Palmerston North, New Zealand

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Title

Enhancing grassland nitrogen estimation : a multiscale approach through optical reflectance spectroscopy and hybrid modeling techniques : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Earth Science at Massey University, Palmerston North, New Zealand

Content partner

Massey University

Collection

Massey Research Online

Description

Optical remote sensing technology has emerged as a powerful tool for assessing vegetation characteristics, particularly nitrogen (N) concentration (N%) in heterogeneous grasslands. Accurate estimation of N% is crucial for farmers, as it directly influences grassland productivity and plays a key role in sustainable land management. Accurate N assessments optimize fertilizer use, boosting productivity, lowering costs, and enhancing environmental modeling to address impacts such as N leaching an...

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Format

Research paper

Thesis level

Doctor of Philosophy (Ph.D)

Date created

2025-01-21

Creator

Dehghan-Shoar, Mohammad Hossain

URL

https://hdl.handle.net/10179/72385

Related subjects

grassland nitrogen concentration, optical reflectance spectroscopy, Radiative Transfer Models (RTM), Physically Informed Neural Networks (PINN), spaceborne optical imagery, proximal optical sensing, hybrid modeling techniques, deep learning, machine learning, vegetation biochemical and biophysical properties, sustainable land management / Grasslands / Remote sensing / Pastures / New Zealand / Geospatial data / Environmental aspects / Nitrogen in agriculture / Measurement / Grassland ecology / 300206 Agricultural spatial analysis and modelling

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