Estimating forest leaf area index and canopy chlorophyll content with Sentinel-2: an evaluation of two hybrid retrieval algorithms (2019)
Journal Article
Brown, L., Ogutu, B., & Dash, J. (2019). Estimating forest leaf area index and canopy chlorophyll content with Sentinel-2: an evaluation of two hybrid retrieval algorithms. Remote Sensing, 11(15), https://doi.org/10.3390/rs11151752

Estimates of biophysical and biochemical variables such as leaf area index (LAI) and canopy chlorophyll content (CCC) are a fundamental requirement for effectively monitoring and managing forest environments. With its red-edge bands and high spatial... Read More about Estimating forest leaf area index and canopy chlorophyll content with Sentinel-2: an evaluation of two hybrid retrieval algorithms.

Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery (2019)
Journal Article

The red-edge bands place the recently available multispectral Sentinel-2 imagery at an advantage over other multispectral sensors, and hypothetically offer improved crop biophysical variable retrieval accuracy. In this study, Sentinel-2 data was test... Read More about Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery.

Synergetic exploitation of the sentinel-2 missions for validating the sentinel-3 ocean and land color instrument terrestrial chlorophyll index over a vineyard dominated Mediterranean environment (2019)
Journal Article
Brown, L., Dash, J., Lidon, A., Lopez-Baeza, E., & Dransfeld, S. (2019). Synergetic exploitation of the sentinel-2 missions for validating the sentinel-3 ocean and land color instrument terrestrial chlorophyll index over a vineyard dominated Mediterranean environment. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), 2244-2251. https://doi.org/10.1109/jstars.2019.2899998

Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Ocean and Land Color Instrument (OLCI) on-board the Sentinel-3 missions. To ensure its utility in a wide range of scientific... Read More about Synergetic exploitation of the sentinel-2 missions for validating the sentinel-3 ocean and land color instrument terrestrial chlorophyll index over a vineyard dominated Mediterranean environment.

Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions (2018)
Presentation / Conference
Brown, L., Dash, J., Lidon, A., Lopez-Baeza, E., & Dransfeld, S. (2018, July). Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions. Presented at IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain

Continuity to the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) will be provided by the Sentinel-3 Ocean and Land Colour Instrument (OLCI), and to ensure its utility in a wide range of operational applications, v... Read More about Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): synergetic exploitation of the Sentinel-2 missions.

On the relationship between continuous measures of canopy greenness derived using near-surface remote sensing and satellite-derived vegetation products (2017)
Journal Article
Brown, L., Dash, J., Ogutu, B., & Richardson, A. (2017). On the relationship between continuous measures of canopy greenness derived using near-surface remote sensing and satellite-derived vegetation products. Agricultural and forest meteorology, 247, 280-292. https://doi.org/10.1016/j.agrformet.2017.08.012

Over the last two decades, satellite-derived estimates of biophysical variables have been increasingly used in operational services, requiring quantification of their accuracy and uncertainty. Evaluating satellite-derived vegetation products is chall... Read More about On the relationship between continuous measures of canopy greenness derived using near-surface remote sensing and satellite-derived vegetation products.