Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area Index (LAI) Reference Map for Validation of Moderate Resolution LAI Products
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/7/2/1397/pdf
Reference65 articles.
1. Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands
2. Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup
3. Estimation of sub-pixel land cover composition in the presence of untrained classes
4. The importance of measurement errors for deriving accurate reference leaf area index maps for validation of moderate-resolution satellite LAI products
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1. Reprocessed MODIS Version 6.1 Leaf Area Index Dataset and Its Evaluation for Land Surface and Climate Modeling;Remote Sensing;2023-03-27
2. Moderate resolution LAI prediction using Sentinel-2 satellite data and indirect field measurements in Sikkim Himalaya;Environmental Monitoring and Assessment;2022-10-17
3. Prototyping of LAI and FPAR Retrievals From GOES-16 Advanced Baseline Imager Data Using Global Optimizing Algorithm;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021
4. Comparison of EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI) across Multiple Spatial Scales;Remote Sensing;2020-08-26
5. Multi-Scale Validation of MODIS LAI Products Based on Crop Growth Period;ISPRS International Journal of Geo-Information;2019-11-30
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