Land cover characterization for a watershed in Kenya using MODIS data and Fourier algorithms-Reference-Cited by-同舟云学术

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Land cover characterization for a watershed in Kenya using MODIS data and Fourier algorithms

Published:2016-11-08 Issue:4 Volume:10 Page:045015
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Vithanage Jagath¹,Miller Scott N.²,Driese Kenneth³

Affiliation:

1. University of Wyoming, Hydrology Program, 1000 East University Avenue, Laramie, Wyoming 82071, United States

2. University of Wyoming, Department of Ecosystem Sciences and Management, 1000 East University Avenue, Laramie, Wyoming 82071, United States

3. University of Wyoming, Department of Botany, 1000 East University Avenue, Laramie, Wyoming 82071, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference19 articles.

1. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter

2. Land-cover change and vegetation dynamics across Africa

3. Fourier analysis of multi-temporal AVHRR data applied to a land cover classification

4. Decision tree classification of land cover from remotely sensed data

5. Application of the MODIS global supervised classification model to vegetation and land cover mapping of Central America

Cited by 2 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. Effectiveness of Common Preprocessing Methods of Time Series for Monitoring Crop Distribution in Kenya;Agriculture;2022-01-07

2. Crop classification from Sentinel-2-derived vegetation indices using ensemble learning;Journal of Applied Remote Sensing;2018-05-18

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