Spectral invariants in ultra-high spatial resolution hyperspectral images-Reference-Cited by-同舟云学术

Spectral invariants in ultra-high spatial resolution hyperspectral images

Published:2022-09 Issue: Volume:288 Page:108265
ISSN:0022-4073
Container-title:Journal of Quantitative Spectroscopy and Radiative Transfer
language:en
Short-container-title:Journal of Quantitative Spectroscopy and Radiative Transfer

Author:

Ihalainen Olli^ORCID,Mõttus Matti

Funder

Academy of Finland

Publisher

Elsevier BV

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Radiation

Reference44 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. Decoupling canopy structure and leaf biochemistry: testing the utility of directional area scattering factor (DASF);Adams;Remote Sens,2018

3. Earth observation in service of the 2030 agenda for sustainable development;Anderson;Geo-Spatial Inf Sci,2017

4. GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 1: principles of development and production;Baret;Remote Sens Environ,2013

5. The theory and measurement of bidirectional reflectance distribution function (BRDF) and bidirectional transmittance distribution function (BTDF);Bartell,1981

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications and Challenges Related to the Use of Unmanned Aircraft Systems in Environment Monitoring;New Developments and Environmental Applications of Drones;2024

2. Photon recollision probability and the spectral invariant theory: Principles, methods, and applications;Remote Sensing of Environment;2023-12

3. Inversion of True Leaf Reflectance from Very High Spatial Resolution Hyperspectral Images;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16