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Above-ground biomass estimates based on active and passive microwave sensor imagery in low-biomass savanna ecosystems
Stockholm University, Faculty of Science, Department of Physical Geography.
Number of Authors: 32018 (English)In: Journal of Applied Remote Sensing, ISSN 1931-3195, E-ISSN 1931-3195, Vol. 12, no 4, article id 046027Article in journal (Refereed) Published
Abstract [en]

Although many studies exist on the estimation and monitoring of above-ground biomass (AGB) of forest ecosystems by methods of remote sensing, very little research has been carried out for ecosystems of low primary production, such as grasslands, steppes, or savannas. Our study intends to approach this gap and investigates the correlation between space-borne radar information and AGB at the scale of 10 tons per hectare and below. Additionally, we introduce the integration of passive brightness temperature as an additional covariate for biomass estimation, based on the hypothesis that it contains information complementary to microwave backscatter of the active sensors. Our findings show that large-scale estimates of AGB can be conducted for grasslands and savannas at high accuracy (R-2 up to 0.52). Additionally, we found that the integration of passive radar can increase the quality of AGB estimates in terms of explained variance for selected cases. We hope that these indications are a starting point for more integrated approaches toward biomass estimations based on Earth observation methods.

Place, publisher, year, edition, pages
2018. Vol. 12, no 4, article id 046027
Keywords [en]
above-ground biomass, synthetic aperture radar, special sensor microwave imager, semiarid landscapes, Senegal
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-163686DOI: 10.1117/1.JRS.12.046027ISI: 000453275700002OAI: oai:DiVA.org:su-163686DiVA, id: diva2:1280306
Available from: 2019-01-18 Created: 2019-01-18 Last updated: 2019-01-18Bibliographically approved

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