Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest.
By Mercedes Berterretche, Andrew Thomas Hudak, Warren B. Cohen, Thomas K. Maiersperger, S. T. Gower, Jennifer L. Dungan. 2005
124 citations recorded by the source corpus.
Subfields: Ecology, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/fdc68790874a92a9082b06aab1046f2b9233ed01
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Aleixandre Verger
- Frédéric Baret
- Marie Weiss
- Guang Zheng
- Philippe Neveux
- L. Monika Moskal
- Sivasathivel Kandasamy
- Bastian Siegmann
In Environmental Engineering
- Frédéric Baret
- Guang Zheng
- Philippe Neveux
- L. Monika Moskal
- Sivasathivel Kandasamy
- Aleixandre Verger
- Marie Weiss
- Bastian Siegmann
Citations in the corpus
- A comparison of methods for smoothing and gap filling time series of remote sensing observations - application to MODIS LAI products (2012, methodology): “Spatial filters using pixel-level or regional ecosystem statistical data include geostatistical and regression methods (Goovaerts, 1997; Berterretche et al., 2005; Wang et al., 2012).”
- Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors (2009, methodology): “Algorithms and models used as an input parameter to predict or estimate ecological variables have been developed using remotely sensed datasets based LAI [13-16].”