Extraction of long time series wetland information based on Google Earth Engine and random forest algorithm for a plateau lake basin – A case study of Dianchi Lake, Yunnan Province, China
Author:
Publisher
Elsevier BV
Subject
Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences
Reference66 articles.
1. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review;Adam;Wetlands Ecol. Manag.,2010
2. Wetland classification using multi-source and multi-temporal optical remote sensing data in Newfoundland and Labrador, Canada;Amani;Can. J. Remote Sens.,2017
3. Canadian wetland inventory using Google Earth Engine: The first map and preliminary results;Amani;Remote Sens.,2019
4. Evaluation of the landsat-based Canadian wetland inventory map using multiple sources: Challenges of large-scale wetland classification using remote sensing;Amani;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2020
5. Google Earth engine cloud computing platform for remote sensing big data applications: A comprehensive review;Amani;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2020
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