Digital Soil Mapping Based on Fine Temporal Resolution Landsat Data Produced by Spatiotemporal Fusion-Reference-Cited by-同舟云学术

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Digital Soil Mapping Based on Fine Temporal Resolution Landsat Data Produced by Spatiotemporal Fusion

Published:2023 Issue: Volume:16 Page:3905-3914
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:

Yang Haoxuan¹^ORCID,Wang Qunming¹^ORCID,Ma Xiaofeng¹,Liu Wenqi²,Liu Huanjun³

Affiliation:

1. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China

2. Department of Geography, Oklahoma State University, Stillwater, OK, USA

3. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10102527.pdf?arnumber=10102527

Reference53 articles.

1. Hyper-temporal remote sensing data in bare soil period and terrain attributes for digital soil mapping in the Black soil regions of China

2. Refining a reconnaissance soil map by calibrating regression models with data from the same map (Normandy, France)

3. Are topsoil spectra or soil-environmental factors better indicators for discrimination of soil classes?

4. Using Imaging Spectroscopy to study soil properties

5. A spectral grouping-based deep learning model for haze removal of hyperspectral images

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. Reconstruction of Historical SMAP Soil Moisture Dataset From 1979 to 2015 Using CCI Time-Series;IEEE Transactions on Geoscience and Remote Sensing;2024

2. SSL-SoilNet: A Hybrid Transformer-Based Framework With Self-Supervised Learning for Large-Scale Soil Organic Carbon Prediction;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Soil classification with hyper-temporal satellite images;International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023);2023-11-15

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