NDVI time-series data reconstruction for spatial-temporal dynamic monitoring of Arctic vegetation structure
Author:
Affiliation:
1. School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China
2. School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2336602
Reference43 articles.
1. Rastitelnost’i prirodnye rayony vostochnoy chasti Bol’shezemel’skoy tundry [Vegetation and Natural Regions in the Eastern Part of the Bol’shezemel’skaya Tundra];Andreyev V.;Trudy Polyarnoy komissii [Works of the Polar Commission],1936
2. Predictive modeling of plant productivity in the Russian Arctic using satellite data
3. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI
4. Satellite observations of high northern latitude vegetation productivity changes between 1982 and 2008: ecological variability and regional differences
5. Recent Declines in Warming and Vegetation Greening Trends over Pan-Arctic Tundra
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1. Temporal-Difference Graph-Based Optimization for High-Quality Reconstruction of MODIS NDVI Data;Remote Sensing;2024-07-24
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