Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations-Reference-Cited by-同舟云学术

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Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations

Published:2009-11-16 Issue:11 Volume:113 Page:2366-2379
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Cook Bruce D.,Bolstad Paul V.,Næsset Erik,Anderson Ryan S.,Garrigues Sebastian,Morisette Jeffrey T.,Nickeson Jaime,Davis Kenneth J.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Cited by 46 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. QTL mapping of maize plant height based on a population of doubled haploid lines using UAV LiDAR high-throughput phenotyping data;Journal of Integrative Agriculture;2024-09

2. Practical Guide to Measuring Wetland Carbon Pools and Fluxes;Wetlands;2023-11-28

3. Capturing the spatiotemporal variations in the gross primary productivity in coastal wetlands by integrating eddy covariance, Landsat, and MODIS satellite data: A case study in the Yangtze Estuary, China;Ecological Indicators;2023-05

4. Analysis of UAS-LiDAR Ground Points Classification in Agricultural Fields Using Traditional Algorithms and PointCNN;Remote Sensing;2023-01-13

5. Aboveground biomass of marshes in Northeast China: Spatial pattern and annual changes responding to climate change;Frontiers in Ecology and Evolution;2022-11-10

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