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ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest Biomass in Kalimantan, Indonesia (2011)
02 September 2011
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Abstract: Indonesian peatlands are one of the largest near-surface pools of terrestrialorganic carbon. Persistent logging, drainage and recurrent fires lead to huge emission of carbon each year. Since tropical peatlands are highly inaccessible, few measurements on peat depth and forest biomass are available. The authors assessed the applicability of quality filtered ICESat/GLAS (a spaceborne LiDAR system) data to measure peatland topography as a proxy for peat volume and to estimate peat swamp forest Above Ground Biomass (AGB) in a thoroughly investigated study site in Central Kalimantan, Indonesia. Mean Shuttle Radar Topography Mission (SRTM) elevation was correlated to the corresponding ICESat/GLAS elevation. The best results were obtained from the waveform centroid (R2 = 0.92; n = 4,186). ICESat/GLAS terrain elevation was correlated to three 3D peatland elevation models derived from SRTM data (R2 = 0.90; overall difference = −1.0 m, ±3.2 m; n = 4,045). Based on the correlation of in situ peat swamp forest AGB and airborne LiDAR data (R2 = 0.75, n = 36) an ICESat/GLAS AGB prediction model was developed (R2 = 0.61, n = 35). These results demonstrate that ICESat/GLAS data can be used to measure peat topography and to collect large numbers of forest biomass samples in remote and highly inaccessible peatland forests. Presentation - The Use of Remote Sensing for the Monitoring of Tropical Wetland Ecosystems in Indonesia (2011)
14 April 2011
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Remotely Sensed Forest Cover Loss Shows High Spatial and Temporal Variation Across Sumatera and Kalimantan, Indonesia 2000-2008 (2011)
23 February 2011
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    The Indonesian islands of Sumatera and Kalimantan (the Indonesian part of the island of Borneo) are a center of significant and rapid forest cover loss in the humid tropics with implications for carbon dynamics, biodiversity conservation, and local livelihoods. The aim of our research was to analyze and interpret annual trends of forest cover loss for different sub-regions of the study area. We mapped forest cover loss for 2000–2008 using multi-resolution remote sensing data from the Landsat enhanced thematic mapper plus (ETM     +) and moderate resolution imaging spectroradiometer (MODIS) sensors and analyzed annual trends per island, province, and official land allocation zone. The total forest cover loss for Sumatera and Kalimantan 2000–2008 was 5.39 Mha, which represents 5.3% of the land area and 9.2% of the year 2000 forest cover of these two islands. At least 6.5% of all mapped forest cover loss occurred in land allocation zones prohibiting clearing. An additional 13.6% of forest cover loss occurred where clearing is legally restricted. The overall trend of forest cover loss increased until 2006 and decreased thereafter. The trends for Sumatera and Kalimantan were distinctly different, driven primarily by the trends of Riau and Central Kalimantan provinces, respectively. This analysis shows that annual mapping of forest cover change yields a clearer picture than a one-time overall national estimate. Monitoring forest dynamics is important for national policy makers, especially given the commitment of Indonesia to reducing greenhouse gas emissions as part of the reducing emissions from deforestation and forest degradation in developing countries initiative (REDD+). The improved spatio-temporal detail of forest change monitoring products will make it possible to target policies and projects in meeting this commitment. Accurate, annual forest cover loss maps will be integral to many REDD+ objectives, including policy formulation, definition of baselines, detection of displacement,and the evaluation of the permanence of emission reduction. FORMA: Forest Monitoring for Action-Rapid Identification of Pan-tropical Deforestation Using Moderate-Resolution Remotely Sensed Data (2009)
30 November 2009
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Rising concern about carbon emissions from deforestation has led donors to finance UN-REDD (Reducing Emissions from Deforestation and Forest Degradation in Developing Countries), a program that offers direct compensation for forest conservation. Sustainable operation of UN-REDD and other direct-compensation programs will require a transparent, credible, frequently updated system for monitoring deforestation. In this paper, we introduce FORMA (Forest Monitoring for Action), a prototype system based on remotely sensed data. We test its accuracy against the best available information on deforestation in Brazil and Indonesia. Our results indicate that publicly available remotely sensed data can support accurate quarterly identification of new deforestation at 1 km spatial resolution. More rapid updates at higher spatial resolution may also be  possible. At current resolution, with efficient coding in publicly available software, FORMA should produce global updates on one desktop computer in a few hours. Maps of probable deforestation at 1 km resolution will be accessible with Google Earth and Google Maps, with an open facility for ground-truthing each pixel via photographs and text comments. Role of Satellite Remote Sensing in REDD (2008)
13 October 2008
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The paper addresses the role of satellite remote sensing technologies as a tool for monitoring, assessment, reporting and verification of carbon credits and co-benefits under an eventual REDD mechanism. The paper identifies five issues and suggests immediate actions to build confidence and capacities during the preparatory phase of REDD. Identified issues: 1. Define the role of satellite remote sensing 2. Clarify technical opportunities and limitations 3. Secure adequate and relevant data supply 4. Enhance technical and institutional capacities 5. Be flexible as REDD requirements are not known Presentation - Monitoring of Deforestation and Forest Degradation Using Remote Sensing Techniques for REDD Policy Implementation (2008)
25 June 2008
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  Outlines •Forest monitoring using remote sensing •Forest degradation in developing countries •New remote sensing technologies •Technical issues •Conclusions Integration of Multi Remotely Sensed Data and Geodatabases for Forestry Management in Indonesia (2006)
03 January 2006
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Poor quality data on forests as well as poor land tenure system created large uncertainties for all stakeholders who claimed rights to use or to protect the forests. To overcome thos forestry problems, new information technologies should serve the needs and objectives of this multitude of stakeholders. In this thesis a new and unique monitoring system is proposed, which integrates mult-temporal remotely sensed data products, a geodatabase and other databases, fulfilling a variety of information needs. Tropical Forest Mapping using Polarimetric and Interferometric SAR Data - A Case Study in Indonesia (2006)
03 January 2006
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This study has provided the first experiences with this kind of new technology and methodologies in Indonesia. The approach presented in this thesis includes new elements such as (1) slope correction, using InSAR, (2) mapping, using a new reversible transform technique and (3) Iterated Conditional Models (ICM), using prior knowledge such as heigt and texture. It may offer a substantial contribution to the developments of similar approaches for tropical forest regions in general, especially in those areas where it is difficult to obtain data from optical sensors.

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Documents by Subject


Payment Distribution
Deforestation and Degradation
Forest Management in Indonesia
Land Tenure
Carbon Accounting
Indonesia Actions
Governance Assesstment
Financing Options
Opportunity Cost
Regulation on REDD in Indonesia
Carbon Market
REDD Demonstration Sites
Indigenous People
UNFCCC Policy on Forest Emission
Remote Survey

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Payment Distribution
Deforestation and Degradation
Forest Management in Indonesia
Land Tenure
Carbon Accounting
Indonesia Actions
Governance Assesstment
Financing Options
Opportunity Cost
Regulation on REDD in Indonesia
Carbon Market
REDD Demonstration Sites
Indigenous People
UNFCCC Policy on Forest Emission
Remote Survey