Quantification of wetland vegetation communities features with airborne AVIRIS-NG, UAVSAR, and UAV LiDAR data in Peace-Athabasca Delta

Author:

Wang Chao,Pavelsky Tamlin M.,Kyzivat Ethan D.,Garcia-Tigreros Fenix,Podest Erika,Yao Fangfang,Yang Xiao,Zhang Shuai,Song Conghe,Langhorst Theodore,Dolan Wayana,Kurek Martin R.,Harlan Merritt E.,Smith Laurence C.,Butman David E.,Spencer Robert G.M.,Gleason Colin J.,Wickland Kimberly P.,Striegl Robert G.,Peters Daniel L.

Funder

California Institute of Technology

National Aeronautics and Space Administration

Jet Propulsion Laboratory

NASA Goddard Space Flight Center

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference145 articles.

1. Wetland monitoring using SAR data: a meta-analysis and comprehensive review;Adeli;Remote Sens.,2020

2. Moving toward L-band NASA-ISRO SAR mission (NISAR) dense time series: Multipolarization object-based classification of wetlands using two machine learning algorithms;Adeli;Earth Space Sci.,2021

3. Potential of hyperspectral AVIRIS-NG data for vegetation characterization, species spectral separability, and mapping;Ahmad;Appl. Geomat.,2021

4. Linking functional diversity, trait composition, invasion, and environmental drivers in boreal wetland plant assemblages;Allen;J. Veg. Sci.,2021

5. 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

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