Establishing the Downscaling and Spatiotemporal Scale Conversion Models of NDVI Based on Fractal Methodology-Reference-Cited by-同舟云学术

Establishing the Downscaling and Spatiotemporal Scale Conversion Models of NDVI Based on Fractal Methodology

Published:2020-09-09 Issue: Volume: Page:
ISSN:
Container-title:Fractal Analysis - Selected Examples
language:
Short-container-title:

Author:

Luan Haijun

Publisher

IntechOpen

Link

http://www.intechopen.com/download/pdf/71255

Reference40 articles.

1. Liang S. Quantitative Remote Sensing. Translated by Fan WJ. Beijing: Science Press; 2009. pp. 180-183. (in Chinese)

2. Mohanty BP. Soil hydraulic property estimation using remote sensing: A review. Vadose Zone Journal. 2013;12(4). DOI: 10.2136/vzj2013.06.0100. Available from: https://dl.sciencesocieties.org/publications/vzj/abstracts/12/4/vzj2013.06.0100

3. Li XW, Wang YT. Prospects on future developments of quantitative remote sensing. Acta Geographica Sinica. 2013;68(9):1163-1169. (in Chinese). DOI: 10.11821/dlxb201309001

4. Luan HJ, Tian QJ, Yu T, et al. Review of up-scaling of quantitative remote sensing. Advances in Earth Science. 2013;28(6):657-664. (in Chinese) 10.11867/j.issn.1001-8166.2013.06.0657

5. Gao F, Masek J, Schwaller M, et al. On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance. IEEE Transactions on Geoscience and Remote Sensing. 2006;44(8):2207-2218. DOI: 10.1109/TGRS.2006.872081

Cited by 1 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. A New Spatial Downscaling Method for Long-Term AVHRR NDVI by Multiscale Residual Convolutional Neural Network;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024