An Improved Vis-NIR Estimation Model of Soil Organic Matter Through the Artificial Samples Enhanced Calibration Set-Reference-Cited by-同舟云学术

An Improved Vis-NIR Estimation Model of Soil Organic Matter Through the Artificial Samples Enhanced Calibration Set

Published:2023 Issue: Volume:16 Page:4626-4637
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Xu Xibo¹^ORCID,Chen Yunhao¹^ORCID,Dai Xiujuan²,Lei Tianjie³^ORCID,Wang Sijia¹,Li Kangning²^ORCID

Affiliation:

1. State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing, China

2. Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Faculty of Geographical Science, Beijing Normal University, Beijing, China

3. Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, China

Funder

Ningxia Agriculture and the Animal Husbandry Department East–West Cooperation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10123926.pdf?arnumber=10123926

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1. LOCAL Prediction with near Infrared Multi-Product Databases

2. Mapping iron oxides and the color of Australian soil using visible–near-infrared reflectance spectra