Remote Sens. 2013, 5(5), 2368-2388; doi:10.3390/rs5052368
Article

Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets

1 Biology Department II, GeoBio Center, Ludwig-Maximilians-University, Großhadener Str. 2, D-82152 Planegg-Martinsried, Germany 2 Remote Sensing Solutions GmbH, Isarstr. 3, D-82065 Baierbrunn, Germany
* Author to whom correspondence should be addressed.
Received: 25 March 2013; in revised form: 29 April 2013 / Accepted: 7 May 2013 / Published: 14 May 2013
(This article belongs to the Special Issue Remote Sensing of Peatlands)
PDF Full-text Download PDF Full-Text [6136 KB, uploaded 14 May 2013 11:28 CEST]
Abstract: Tropical peat swamp forests in Indonesia store huge amounts of carbon and are responsible for enormous carbon emissions every year due to forest degradation and deforestation. These forest areas are in the focus of REDD+ (reducing emissions from deforestation, forest degradation, and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks) projects, which require an accurate monitoring of their carbon stocks or aboveground biomass (AGB). Our study objective was to evaluate multi-temporal LiDAR measurements of a tropical forested peatland area in Central Kalimantan on Borneo. Canopy height and AGB dynamics were quantified with a special focus on unaffected, selective logged and burned forests. More than 11,000 ha were surveyed with airborne LiDAR in 2007 and 2011. In a first step, the comparability of these datasets was examined and canopy height models were created. Novel AGB regression models were developed on the basis of field inventory measurements and LiDAR derived height histograms for 2007 (r2 = 0.77, n = 79) and 2011 (r2 = 0.81, n = 53), taking the different point densities into account. Changes in peat swamp forests were identified by analyzing multispectral imagery. Unaffected forests accumulated on average 20 t/ha AGB with a canopy height increase of 2.3 m over the four year time period. Selective logged forests experienced an average AGB loss of 55 t/ha within 30 m and 42 t/ha within 50 m of detected logging trails, although the mean canopy height increased by 0.5 m and 1.0 m, respectively. Burned forests lost 92% of the initial biomass. These results demonstrate the great potential of repetitive airborne LiDAR surveys to precisely quantify even small scale AGB and canopy height dynamics in remote tropical forests, thereby featuring the needs of REDD+.
Keywords: aboveground biomass (AGB); Borneo; canopy height; carbon; change; LiDAR; multi-temporal; REDD+ (reducing emissions from deforestation and forest degradation); tropical peat swamp forest

Article Statistics

Load and display the download statistics.

Citations to this Article

Cite This Article

MDPI and ACS Style

Englhart, S.; Jubanski, J.; Siegert, F. Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets. Remote Sens. 2013, 5, 2368-2388.

AMA Style

Englhart S, Jubanski J, Siegert F. Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets. Remote Sensing. 2013; 5(5):2368-2388.

Chicago/Turabian Style

Englhart, Sandra; Jubanski, Juilson; Siegert, Florian. 2013. "Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi-Temporal LiDAR Datasets." Remote Sens. 5, no. 5: 2368-2388.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert