Accuracy evaluation of hyperspectral inversion of environmental parameters of loess profile-Reference-Cited by-同舟云学术

Accuracy evaluation of hyperspectral inversion of environmental parameters of loess profile

Published:2023-05 Issue:10 Volume:82 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Ma Chunyan^ORCID,Liu Xun,Li Shuangquan,Li Changchun,Zhang Ruilong

Funder

Scientific and Technological Innovation Team of Universities in Henan Province

Natural Science Foundation of China

the National Innovation and Entrepreneurship Training Program for College Students

Key scientific research project of Henan college and university

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

https://link.springer.com/content/pdf/10.1007/s12665-023-10873-8.pdf

Reference36 articles.

1. Aksoy T, Dabanli A, Cetin M et al (2022) Evaluation of comparing urban area land use change with Urban Atlas and CORINE data. Environ Sci Pollut Res 29:28995–29015

2. Al-Abbas et al (1972) Relating organic matter and clay content to multispectral radiance of soils. Soils Sci 114:477–485

3. Bowers SA, Hanks RJ (1965) Reflection of radiant energy from soils. Soil Sci 100(3):130–138

4. Cetin M (2015) Using GIS analysis to assess urban green space in terms of accessibility: case study in Kutahya. Int J Sustain Dev World Ecol 22(5):420–424

5. Cetin M (2016) Sustainability of urban coastal area management: a case study on Cide. J Sustain for 35(7):527–541

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. Identification of dominant tree species based on Resource-1 02D hyperspectral image data;Frontiers in Earth Science;2024-07-16

2. Surface mortar detection and performance evaluation of recycled aggregates based on hyperspectral technology;tm - Technisches Messen;2023-10-25

3. Correlation Matrix-Based Fusion of Hyperspectral and Multispectral Images;Remote Sensing;2023-07-21