Direct reflectance transformation methodology for drone-based hyperspectral imaging-Reference-Cited by-同舟云学术

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Direct reflectance transformation methodology for drone-based hyperspectral imaging

Published:2021-12 Issue: Volume:266 Page:112691
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Suomalainen Juha,Oliveira Raquel A.,Hakala Teemu,Koivumäki Niko,Markelin Lauri,Näsi Roope,Honkavaara Eija

Funder

Academy of Finland

EURAMET European Metrology Programme for Innovation and Research

Aalto-Yliopisto

European Metrology Programme for Innovation and Research

Teknologian Tutkimuskeskus VTT

European Commission

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference62 articles.

1. Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: a review of sensor technology, measurement procedures, and data correction workflows;Aasen;Remote Sens.,2018

2. Calibration of a common shortwave multispectral camera system for quantitative agricultural applications;Barker;Precis. Agric.,2019

3. Radiometric assessment of a UAV-based push-broom Hyperspectral camera;Barreto;Sensors,2019

4. Influence of cosine corrector and uas platform dynamics on airborne spectral irradiance measurements;Bendig,2018

5. Solar-induced chlorophyll fluorescence measured from an unmanned aircraft system: sensor Etaloning and platform motion correction;Bendig;IEEE Trans. Geosci. Remote Sens.,2020

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