Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison
Top Cited Papers
- 1 October 2015
- journal article
- research article
- Published by Elsevier BV in ISPRS Journal of Photogrammetry and Remote Sensing
- Vol. 108, 260-272
- https://doi.org/10.1016/j.isprsjprs.2015.04.013
Abstract
No abstract availableKeywords
This publication has 68 references indexed in Scilit:
- Vegetation index suites as indicators of vegetation state in grassland and savanna: An analysis with simulated SENTINEL 2 data for a North American transectRemote Sensing of Environment, 2013
- Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL ModelRemote Sensing, 2013
- Statistical Distances and Their Applications to Biophysical Parameter Estimation: Information Measures, M-Estimates, and Minimum Contrast MethodsRemote Sensing, 2013
- Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA DataRemote Sensing, 2012
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational ServicesRemote Sensing of Environment, 2012
- The Global Monitoring for Environment and Security (GMES) Sentinel-3 missionRemote Sensing of Environment, 2012
- Evaluation of Sentinel-2 Red-Edge Bands for Empirical Estimation of Green LAI and Chlorophyll ContentSensors, 2011
- Combining agricultural crop models and satellite observations: From field to regional scalesInternational Journal of Remote Sensing, 1998
- Review article: Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurementsInternational Journal of Remote Sensing, 1998
- Validation of Regression Models: Methods and ExamplesTechnometrics, 1977