P27: Estimation of above-ground carbon stocks in forests | |
Maturity score | |
Mean: 2.4 | STD: 0.64 |
Constraints and limitations · Cloud presence · Satellite data might not provide direct measurements of biomass, requiring the use of models and assumptions that can introduce uncertainties. · Rely on reference data | |
Relevant user needs UN30: Need for monitoring with accurate measurements the growth and health of trees. UN32: Need to periodically estimate the growth of above-ground carbon stocks (in forests). | |
R&D gaps · Lack of ground truth data about tree height and structures obtained from filed work or LIDAR. · In-situ data is very important for accurate estimations, especially, with certain sensors that reach saturation. | |
Potential improvements drivers · Training datasets of tree inventory · Missions provide biomass directly | |
Utilisation level review | |
Utilisation score | |
Mean: 2.29 | STD: 0.88 |
No utilisation · Users’ lack of EO knowledge and skills to utilize the EO product. · Unawareness of the existence of this EO product Low utilisation · Unawareness of the existence of commercial EO products with better specifications · Higher cost of using the commercial EO product · Only aware of its use as a proxy of macro-economic indicators. There were trials of using it to track emissions of specific assets, but it was difficult to reconcile the results against the reference estimations . Medium utilisation · Higher cost of using the best available commercial EO product. · Most data providers used by financial institutions seem to rely on open EO data . · Unawareness of the existence of the best available commercial EO product with better specifications. High utilisation | |
Critical gaps related to relevant user needs | |
Utilisation gap UN30: Need for monitoring with accurate measurements the growth and health of trees. UN32: Need to periodically estimate the growth of above-ground carbon stocks (in forests). | |
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