Combining Satellite Data and Community-Based Observations for Forest Monitoring

Within the Reducing Emissions from Deforestation and Degradation (REDD+) framework, the involvement of local communities in national forest monitoring activities has the potential to enhance monitoring efficiency at lower costs while simultaneously promoting transparency and better forest management. We assessed the consistency of forest monitoring data (mostly activity data related to forest change) collected by local experts in the UNESCO Kafa Biosphere Reserve, Ethiopia. Professional ground measurements and high resolution satellite images were used as validation data to assess over 700 forest change observations collected by the local experts. Furthermore, we examined the complementary use of local datasets and remote sensing by assessing spatial, temporal and thematic data quality factors. Based on this complementarity, we propose a framework to integrate local expert monitoring data with satellite-based monitoring data into a National Forest Monitoring System (NFMS) in support of REDD+ Measuring, Reporting and Verifying (MRV) and near real-time forest change monitoring.

[1]  J. Lund.  Towards a more balanced view on the potentials of locally-based monitoring , 2013, Biodiversity and Conservation.

[2]  E. Tomppo.  National Forest Inventories : pathways for common reporting , 2010 .

[3]  M. Herold,et al.  Will REDD+work? The need for interdisciplinary research to address key challenges , 2012 .

[4]  Tao Cheng,et al.  Trust in Web GIS: the role of the trustee attributes in the design of trustworthy Web GIS applications , 2011, Int. J. Geogr. Inf. Sci..

[5]  D. Ganz,et al.  Community Participation and Benefits in REDD+: A Review of Initial Outcomes and Lessons , 2013 .

[6]  V. Kapos,et al.  Biodiversity monitoring for REDD , 2012 .

[7]  F. Nelson,et al.  Social safeguards and co-benefits in REDD+: a review of the adjacent possible , 2012 .

[8]  Neil D. Burgess,et al.  Monitoring Matters: Examining the Potential of Locally-based Approaches , 2005, Biodiversity & Conservation.

[9]  M. Herold,et al.  Near real-time disturbance detection using satellite image time series , 2012 .

[10]  C. McDermott,et al.  Law, tropical forests and carbon: the case of REDD+. , 2013 .

[11]  F. Achard,et al.  A sourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals associated with deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation , 2012 .

[12]  J. Davis.  Univariate Discrete Distributions , 2006 .

[13]  Ruth S. DeFries,et al.  Earth observations for estimating greenhouse gas emissions from deforestation in developing countries , 2007 .

[14]  Martin Herold,et al.  Conference Report: REDD+ related forest monitoring remains a key issue: a report following the recent UN climate conference in Doha , 2013 .

[15]  M. Wulder,et al.  Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data , 2011 .

[16]  M. Haklay.  How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets , 2010 .

[17]  M. Herold,et al.  An assessment of deforestation and forest degradation drivers in developing countries , 2012 .

[18]  Christine Pohl,et al.  Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .

[19]  Arun Kumar Pratihast,et al.  Linking community-based and national REDD+ monitoring: a review of the potential , 2013 .

[20]  C. Justice,et al.  High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.

[21]  P. Fearnside,et al.  TROPICAL DEFORESTATION AND GREENHOUSE-GAS EMISSIONS , 2004 .

[22]  Warren B. Cohen,et al.  Trajectory-based change detection for automated characterization of forest disturbance dynamics , 2007 .

[23]  M. Goodchild.  Citizens as sensors: the world of volunteered geography , 2007 .

[24]  E. Lindquist,et al.  Multiple remote sensing data sources for REDD+ monitoring , 2012 .

[25]  E. Topp-Jorgensen,et al.  Community-based Monitoring of Natural Resource Use and Forest Quality in Montane Forests and Miombo Woodlands of Tanzania , 2005, Biodiversity & Conservation.

[26]  Krista G. Hilchey,et al.  A review of citizen science and community-based environmental monitoring: issues and opportunities , 2011, Environmental monitoring and assessment.

[27]  Martin Herold,et al.  Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam , 2012, Sensors.

[28]  R. Vargas,et al.  Quantification of forest degradation and belowground carbon dynamics: ongoing challenges for monitoring, reporting and verification activities for REDD+ , 2013 .

[29]  M. Herold,et al.  Dealing with locally-driven degradation: A quick start option under REDD+ , 2011, Carbon balance and management.

[30]  Kathleen Neumann,et al.  Challenges in using land use and land cover data for global change studies , 2011 .

[31]  J. Gonçalves,et al.  Novel Tools to Improve the Management of Spatial Data Quality in the Context of Ecosystem and Biodiversity Monitoring , 2013 .

[32]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[33]  Martha C. Anderson,et al.  Landsat-8: Science and Product Vision for Terrestrial Global Change Research , 2014 .

[34]  Frédéric Achard,et al.  Assessing REDD+ performance of countries with low monitoring capacities: the matrix approach , 2012 .

[35]  Jon Fjeldså,et al.  Local Participation in Natural Resource Monitoring: a Characterization of Approaches , 2009, Conservation biology : the journal of the Society for Conservation Biology.

[36]  Richard E. Lewis,et al.  At the heart of REDD+: a role for local people in monitoring forests? , 2011 .

[37]  P. Coppin,et al.  Impact of forest canopy on quality and accuracy of GPS measurements , 1999 .

[38]  Alexandre Bouvet,et al.  Estimating tropical deforestation from Earth observation data , 2010 .

[39]  Matthias Drusch,et al.  Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services , 2012 .

[40]  Wenzhong Shi,et al.  DEVELOPMENT AND EXPERIMENTAL VERIFICATION OF KEY TECHNIQUES TO VALIDATE REMOTE SENSING PRODUCTS , 2013 .

[41]  Tran Nguyen Bang,et al.  Research, part of a Special Feature on Beyond Carbon: Enabling Justice and Equity in REDD+ Across Levels of Governance Community Monitoring for REDD+: International Promises and Field Realities , 2013 .

[42]  Thomas R. Loveland,et al.  A review of large area monitoring of land cover change using Landsat data , 2012 .

[43]  M. Skutsch,et al.  Splitting the difference: a proposal for benefit sharing in reducing emissions from deforestation and forest degradation (REDD+) , 2012 .

[44]  Julia P. G. Jones,et al.  Does community forest management provide global environmental benefits and improve local welfare , 2012 .

[45]  Richard E. Lewis,et al.  A Multicountry Assessment of Tropical Resource Monitoring by Local Communities , 2014 .

[46]  N. H. Ravindranath,et al.  2006 IPCC Guidelines for National Greenhouse Gas Inventories , 2006 .

[47]  Karin Pirhofer-Walzl,et al.  Environmental monitoring: the scale and speed of implementation varies according to the degree of peoples involvement , 2010 .

[48]  J. Poesen,et al.  Factors controlling patterns of deforestation in moist evergreen Afromontane forests of Southwest Ethiopia , 2013 .

[49]  J. Canadell,et al.  Tropical Forests and Climate Policy , 2007, Science.

[50]  M. Herold,et al.  The science of measuring, reporting and verification (MRV). , 2013 .

[51]  Achard Frederic,et al.  GOFC-GOLD, 2010, A Sourcebook of Methods and Procedures for Monitoring and Reporting Anthropogenic Greenhouse Gas Emissions and Removals Caused by Deforestation, Gains and Losses of Carbon Stocks in Forests Remaining Forests, and Forestation , 2010 .

[52]  M. Herold,et al.  Monitoring, reporting and verification for national REDD + programmes: two proposals , 2011 .

[53]  Hans Juergen Boehmer,et al.  Floristic diversity in fragmented Afromontane rainforests: Altitudinal variation and conservation importance , 2010 .

[54]  Lammert Kooistra,et al.  Assessing capacities of non-Annex I countries for national forest monitoring in the context of REDD+ , 2012 .

[55]  E. Davidson,et al.  The potential ecological costs and cobenefits of REDD: a critical review and case study from the Amazon region , 2009 .

[56]  B. Fry,et al.  Community forest monitoring in REDD+: the ‘M’ in MRV? , 2011 .

[57]  Robert Jeansoulin,et al.  Towards spatial data quality information analysis tools for experts assessing the fitness for use of spatial data , 2007, Int. J. Geogr. Inf. Sci..

[58]  F. Achard,et al.  Areas of rapid forest-cover change in boreal Eurasia , 2006 .

[59]  B. Ratner,et al.  Building coalitions across sectors and scales in Cambodia , 2011 .