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All Outputs (6)

Near-infrared digital hemispherical photography enables correction of plant area index for woody material during leaf-on conditions (2023)
Journal Article
Brown, L., Morris, H., Morrone, R., Sinclair, M., Williams, O., Hunt, M., …Dash, J. (2024). Near-infrared digital hemispherical photography enables correction of plant area index for woody material during leaf-on conditions. Ecological Informatics, 79, https://doi.org/10.1016/j.ecoinf.2023.102441

Indirect optical measurement techniques enable efficient and non-destructive estimation of plant area index (PAI). However, because they cannot distinguish between foliage and other canopy elements, corrections are needed to determine leaf area index... Read More about Near-infrared digital hemispherical photography enables correction of plant area index for woody material during leaf-on conditions.

Stage 1 Validation of Plant Area Index from the Global Ecosystem Dynamics Investigation (2023)
Journal Article
Brown, L. A., Morris, H., Meier, C., Knohl, A., Lanconelli, C., Gobron, N., …Danson, F. M. (2023). Stage 1 Validation of Plant Area Index from the Global Ecosystem Dynamics Investigation. IEEE Geoscience and Remote Sensing Letters, 1-1. https://doi.org/10.1109/lgrs.2023.3319528

The Global Ecosystem Dynamics Investigation (GEDI) aims to provide improved characterization of forest structure, and plant area index (PAI) is one of many variables provided in the official GEDI Level 2B (L2B) product suite. However, since release,... Read More about Stage 1 Validation of Plant Area Index from the Global Ecosystem Dynamics Investigation.

HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs (2023)
Journal Article
Brown, L. A., Morris, H., Leblanc, S., Bai, G., Lanconelli, C., Gobron, N., …Dash, J. (2023). HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs. Methods in Ecology and Evolution, https://doi.org/10.1111/2041-210x.14199

Digital hemispherical photography (DHP) is widely used to derive forest biophysical variables including leaf, plant, and green area index (LAI, PAI and GAI), the fraction of intercepted photosynthetically active radiation (FIPAR), and the fraction of... Read More about HemiPy: A Python module for automated estimation of forest biophysical variables and uncertainties from digital hemispherical photographs.

Limited environmental and yield benefits of intercropping practices in smallholder fields: Evidence from multi-source data (2023)
Journal Article
Li, C., Kambombe, O., Gulule Chimimba, E., Fawcett, D., Brown, L., Yu, L., …Dash, J. (2023). Limited environmental and yield benefits of intercropping practices in smallholder fields: Evidence from multi-source data. Field Crops Research, 299, Article 108974. https://doi.org/10.1016/j.fcr.2023.108974

Context To ensure food security in sub-Saharan Africa, it is necessary to improve crop yields while minimizing environmental impacts. Intercropping has been demonstrated to deliver such outcomes, but their performance in smallholder fields has recei... Read More about Limited environmental and yield benefits of intercropping practices in smallholder fields: Evidence from multi-source data.

Assessment of active LiDAR data and passive optical imagery for double-layered mangrove leaf area index estimation: a case study in Mai Po, Hong Kong (2023)
Journal Article
Li, Q., Wong, F. K. K., Kwan, F., Wong, K., Fung, T., Brown, L. A., & Dash, J. (2023). Assessment of active LiDAR data and passive optical imagery for double-layered mangrove leaf area index estimation: a case study in Mai Po, Hong Kong. Remote Sensing, 15(10), 2551. https://doi.org/10.3390/rs15102551

Remote sensing technology is a timely and cost-efficient method for leaf area index (LAI) estimation, especially for less accessible areas such as mangrove forests. Confounded by the poor penetrability of optical images, most previous studies focused... Read More about Assessment of active LiDAR data and passive optical imagery for double-layered mangrove leaf area index estimation: a case study in Mai Po, Hong Kong.

Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests (2023)
Journal Article
Fernandes, R., Brown, L., Canisius, F., Dash, J., He, L., Hong, G., …Sun, L. (in press). Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests. Remote Sensing of Environment, 293, https://doi.org/10.1016/j.rse.2023.113600

Canopy biophysical variables such as the fraction of canopy cover (fCOVER), fraction of absorbed photosynthetically active radiation (fAPAR), and leaf area index (LAI) are widely used for ecosystem modelling and monitoring. The Sentinel-2 mission was... Read More about Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests.