Bhat, Y and Kripa, MK and Dadhwal, Vinay Kumar
(2024)
Validation of ESA-CCI Forest Biomass Products over India: Methodological and Data Challenges and Results.
Journal of the Indian Society of Remote Sensing, 52 (4).
pp. 931-942.
ISSN 0974-3006
Full text not available from this repository.
| Abstract: |
Forest aboveground biomass (AGB), an essential climate variable, is a major priority for the delivery of usable products from multi-sensor remote sensing data. Recent AGB global products such as ESA-CCI and GlobBiomass could provide critical inputs for carbon sequestration, emission and climate change studies. While these have been developed and tested with global field datasets, very little use of Indian field measurements and validation with Indian observations has been reported. In this study, a database of field measurements was created, of 1 ha (135 plots), clustered plots of 0.1 ha (101 plots) and 582 plot AGB of 0.1–0.04 ha from the published literature and used for validating ESA-CCI 2018 & 2010 and Santoro-2010 (Santoro et al., Earth System Science Data 13:3927–3950, 2021) datasets. Validation of mean AGB for larger areas such as regional and national estimates was carried out with field-based national forest inventory results of Forest Survey of India (FSI), which indicated an RMSE of 13.47 Mg/ha at zone level and a bias of 48.82 Mg/ha for AGB density and 983.96 Mt in AGB pool at national level. The plot-level comparison at 1 ha plots had RMSE of 215 Mg/ha. However, data from smaller plots did not show any correlation with the AGB product. In general, all products exhibited saturation and were unable to capture AGB of plots above 250 Mg/ha. The large area mean AGB was underestimated when compared with national forest inventory results. Expanding the Indian datasets for use in the development and validation of AGB models, updating the global datasets with Indian observations through new data integration approaches is suggested. |
| Item Type: |
Journal Paper
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| Subjects: |
School of Natural and Engineering Sciences > Ecology
School of Natural and Engineering Sciences > Energy and Environment |
| Divisions: |
Schools > Natural Sciences and Engineering |
| Date Deposited: |
05 Jun 2024 06:25 |
| Last Modified: |
05 Jun 2024 06:25 |
| Official URL: |
https://link.springer.com/article/10.1007/s12524-0... |
| Related URLs: |
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| Funders: |
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| Projects: |
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| DOI: |
https://doi.org/10.1007/s12524-023-01741-w |
| URI: |
http://eprints.nias.res.in/id/eprint/2727 |
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