Design and implementation of an interactive web-based near real-time forest monitoring system

PLoS ONE

Volumn 11, Issue 3, 2016, Pages

  Pratihast, Arun Kumar ^a   DeVries, Ben ^a   Avitabile, Valerio ^a   de Bruin, Sytze ^a   Herold, Martin ^a   Bergsma, Aldo ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL PROTECTION; ETHIOPIA; FOREST; GEOGRAPHIC INFORMATION SYSTEM; INTERNET; PROCEDURES;

CONSERVATION OF NATURAL RESOURCES; ETHIOPIA; FORESTS; GEOGRAPHIC INFORMATION SYSTEMS; INTERNET;

EID: 85010774936     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0150935     Document Type: Article

References (83)

1. Gullison RE, Frumhoff PC, Canadell JG, Field CB, Nepstad DC, Hayhoe K, et al. Tropical forests and climate policy. Science New york then Washington. 2007; 316(5827):985.
2. Bonan GB. Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science. 2008; 320(5882):1444–9. doi: 10.1126/science.1155121 PMID: 18556546
3. Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SA, Tyukavina A, et al. High-resolution global maps of 21st-century forest cover change. Science. 2013; 342(6160):850–3. doi: 10.1126/ science.1244693 PMID: 24233722
4. UNFCCC. Methodological guidance for activities relating to reducing emissions from deforestation and forest degradation and the role of conservation, sustainable management of forests and enhancement of forest carbon stocks in developing countries 4/CP.15. Copenhagen Denmark: 2009.
5. IPCC. Guidelines for National Greenhouse Gas Inventories. ed H S Eggleston, L Buendia, K Miwa, T Ngara and K Tanabe, Prepared by the National Greenhouse Gas Inventories Programme, IGES, Japan. 2006.
6. GOFC-GOLD. 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 forest remaining forests, and forestation. GOFC-GOLD Report version COP20, (GOFC-GOLD Land Cover Project Office, Wageningen University, The Netherlands). 2014.
7. Dickson B, Kapos V. Biodiversity monitoring for REDD+. Current Opinion in Environmental Sustainability. 2012; 4(6):717–25.
8. FCPF. Forest carbon partnership facility. 2012. Available: https://www.forestcarbonpartnership.org. Accessed 17 March 2015. Available: http://earthengine.googlelabs.com. Accessed 27 May 2012. Available: http://iopscience.iop.org/1748-9326/7/4/044009/pdf/1748-9326_7_4_044009.pdf.
9. UN-REDD. About REDD+. 2009. Available: http://www.un-redd.org. Accessed 17 March 2015. Available: http://www.un-redd.org/AboutREDD/tabid/582/language/en-US/Default.aspx. Accessed 9 May 2015.
10. Skar C. The Norwegian International Climate and Forest Initiative: an analysis of the process and motivations of policy making. 2012.
11. UNFCCC. Guidelines and procedures for the technical assessment of submissions from Parties on proposed forest reference emission levels and/or forest reference levels13/CP.19. Warsaw Polland: 2013.
12. Herold M, Skutsch M. Measurement, reporting and verification for REDD. Realising REDD+: national strategy and policy options. 2008; 7:85.
13. DeVries B, Herold M. The science of Measuring, Reporting and Verication (MRV). In: Lyster R, Mac-Kenzie C, McDermott C, editors. Law, Tropical Forests and Carbon: The Case of REDD+. Cambridge: Cambridge Univ Press; 2013. p. 151–83.
14. Romijn E, Herold M, Kooistra L, Murdiyarso D, Verchot L. Assessing capacities of non-Annex I countries for national forest monitoring in the context of REDD+. Environmental Science & Policy. 2012;19–20:33–48. doi: 10.1016/j.envsci.2012.01.005 PMID: WOS:000304897500003.
15. DeFries R, Achard F, Brown S, Herold M, Murdiyarso D, Schlamadinger B, et al. Earth observations for estimating greenhouse gas emissions from deforestation in developing countries. Environmental Science & Policy. 2007; 10(4):385–94. doi: 10.1016/j.envsci.2007.01.010 PMID: WOS:000247823900010.
16. De Sy V, Herold M, Achard F, Asner GP, Held A, Kellndorfer J, et al. Synergies of multiple remote sensing data sources for REDD+ monitoring. Current Opinion in Environmental Sustainability. 2012;(0:).
17. Tomppo E, Gschwantner T, Lawrence M, McRoberts RE, Gabler K, Schadauer K, et al. National Forest Inventories. Pathways for Common Reporting European Science Foundation. 2010:541–53.
18. Danielsen F, Skutsch M, Burgess ND, Jensen PM, Andrianandrasana H, Karky B, et al. At the heart of REDD+: a role for local people in monitoring forests? Conservation Letters. 2011; 4(2):158–67. doi: 10. 1111/j.1755-263X.2010.00159.x PMID: WOS:000289301900009.
19. Danielsen F, Burgess ND, Balmford A, Donald PF, Funder M, Jones JPG, et al. Local participation in natural resource monitoring: A characterization of approaches. Conservation Biology. 2009; 23(1):31–42. doi: 10.1111/j.1523-1739.2008.01063.x PMID: 18798859
20. Connors JP, Lei S, Kelly M. Citizen Science in the Age of Neogeography: Utilizing Volunteered Geographic Information for Environmental Monitoring. Annals of the Association of American Geographers. 2012; 102(6):1267–89. doi: 10.1080/00045608.2011.627058
21. Lynch J, Maslin M, Balzter H, Sweeting M. Choose satellites to monitor deforestation. Nature. 2013; 496(7445):293–4. doi: 10.1038/496293a PMID: 23598323
22. Wheeler D, Hammer D, Kraft R, Steele A. Satellite-based forest clearing detection in the Brazilian Amazon: FORMA, DETER, and PRODES. Wri. org. Available: http://www.wri.org/sites/default/files/FORMA-issue-brief_1.PDF. Accessed 2014.
23. Shimabukuro Y, Duarte V, Anderson L, Valeriano D, Arai E, Freitas R, et al. Near real time detection of deforestation in the Brazilian Amazon using MODIS imagery. Ambiente & Água-An Interdisciplinary Journal of Applied Science. 2007; 1(1):37–47.
24. Anderson LO, Shimabukuro YE, Defries RS, Morton D. Assessment of deforestation in near real time over the Brazilian Amazon using multitemporal fraction images derived from Terra MODIS. IEEE Geo-science and Remote Sensing Letters. 2005:315–8.
25. Hansen MC, Shimabukuro YE, Potapov P, Pittman K. Comparing annual MODIS and PRODES forest cover change data for advancing monitoring of Brazilian forest cover. Remote Sensing of Environment. 2008; 112(10):3784–93. doi: 10.1016/j.rse.2008.05.012
26. Asner GP. Cloud cover in Landsat observations of the Brazilian Amazon. International Journal of Remote Sensing. 2001; 22(18):3855–62.
27. Pratihast AK, Herold M, De Sy V, Murdiyarso D, Skutsch M. Linking community-based and national REDD+ monitoring: A review of the potential. Carbon Management. 2013; 4(1):91–104.
28. Danielsen F, Adrian T, Brofeldt S, van Noordwijk M, Poulsen MK, Rahayu S, et al. Community monitoring for REDD+: International promises and field realities. Ecology and Society. 2013;18(3).
29. Fry BFB. Community forest monitoring in REDD+: the 'M' in MRV? Environmental Science & Policy. 2011; 14(2):181–7. doi: 10.1016/j.envsci.2010.12.004 PMID: WOS:000289336900009.
30. Skutsch MM, McCall MK, Larrazabal AP. Balancing views on community monitoring: The case of REDD+: A response to "towards a more balanced view on the potentials of locally-based monitoring". Biodiversity and Conservation. 2014; 23(1):233–6.
31. Pratihast A, Herold M, Avitabile V, de Bruin S, Bartholomeus H, C Jr., et al. Mobile Devices for Community-Based REDD+ Monitoring: A Case Study for Central Vietnam. Sensors. 2012; 13(1):21–38. PubMed PMID: doi: 10.3390/s130100021 PMID: 23344371
32. Brofeldt S, Theilade I, Burgess N, Danielsen F, Poulsen M, Adrian T, et al. Community Monitoring of Carbon Stocks for REDD+: Does Accuracy and Cost Change over Time? Forests. 2014; 5(8):1834–54. PubMed PMID: doi: 10.3390/f5081834
33. Shrestha S, Karky B, Karki S. Case Study Report: REDD+ Pilot Project in Community Forests in Three Watersheds of Nepal. Forests. 2014; 5(10):2425–39. PubMed PMID: doi: 10.3390/f5102425
34. Bellfield H, Sabogal D, Goodman L, Leggett M. Case Study Report: Community-Based Monitoring Systems for REDD+ in Guyana. Forests. 2015; 6(1):133–56. PubMed PMID: doi: 10.3390/f6010133
35. Pratihast A, DeVries B, Avitabile V, de Bruin S, Kooistra L, Tekle M, et al. Combining Satellite Data and Community-Based Observations for Forest Monitoring. Forests. 2014; 5(10):2464–89. PubMed PMID: doi: 10.3390/f5102464
36. Torres AB, Acuña LAS, Vergara JMC. Integrating CBM into land-use based mitigation actions implemented by local communities. Forests. 2014; 5(12):3295–326.
37. Skutsch MM, Torres AB, Mwampamba TH, Ghilardi A, Herold M. Dealing with locally-driven degradation: A quick start option under REDD+. Carbon balance and management. 2011; 6. doi: 10.1186/1750-0680-6-16
38. Aanensen DM, Huntley DM, Feil EJ, al-Own Fa, Spratt BG. EpiCollect: Linking Smartphones to Web Applications for Epidemiology, Ecology and Community Data Collection. PLoS ONE. 2009; 4(9):e6968. doi: 10.1371/journal.pone.0006968 PMID: 19756138
39. Gouveia C, Fonseca A, Câmara A, Ferreira F. Promoting the use of environmental data collected by concerned citizens through information and communication technologies. Journal of Environmental Management. 2004; 71(2):135–54. PMID: 15135948
40. Conrad CC, Hilchey KG. A review of citizen science and community-based environmental monitoring: issues and opportunities. Environmental Monitoring and Assessment. 2011; 176(1):273–91.
41. Skarlatidou A, Haklay M, Cheng T. Trust in Web GIS: the role of the trustee attributes in the design of trustworthy Web GIS applications. International Journal of Geographical Information Science. 2011; 25 (12):1913–30. doi: 10.1080/13658816.2011.557379
42. Danielsen F, Burgess ND, Jensen PM, Pirhofer-Walzl K. Environmental monitoring: the scale and speed of implementation varies according to the degree of people's involvement. Journal of Applied Ecology. 2010; 47(6):1166–8. doi: 10.1111/j.1365-2664.2010.01874.x PMID: WOS:000283983200002.
43. Newman G, Graham J, Crall A, Laituri M. The art and science of multi-scale citizen science support. Ecological Informatics. 2011; 6(3–4):217–27.
44. Li Z, Yang C, Jin B, Yu M, Liu K, Sun M, et al. Enabling big geoscience data analytics with a cloud-based, mapreduce-enabled and service-oriented workflow framework. PLoS ONE. 2015; 10(3). doi: 10.1371/journal.pone.0116781
45. DeVries B, Verbesselt J, Kooistra L, Herold M. Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series. Remote Sensing of Environment. 2015; 161:107–21.
46. Kingston R, Carver S, Evans A, Turton I. Web-based public participation geographical information systems: An aid to local environmental decision-making. Computers, Environment and Urban Systems. 2000; 24(2):109–25. doi: 10.1016/s0198-9715(99)00049-6
47. Dragićević S, Balram S. A Web GIS collaborative framework to structure and manage distributed planning processes. Journal of Geographical Systems. 2004; 6(2):133–53.
48. de Bruin S, Lerink P, La Riviere IJ, Vanmeulebrouk B. Systematic planning and cultivation of agricultural fields using a geo-spatial arable field optimization service: Opportunities and obstacles. Biosystems Engineering. 2014; 120:15–24.
49. Verbesselt J, Zeileis A, Herold M. Near real-time disturbance detection using satellite image time series. Remote Sensing of Environment. 2012; 123:98–108.
50. Werts JD, Mikhailova EA, Post CJ, Sharp JL. An Integrated WebGIS Framework for Volunteered Geographic Information and Social Media in Soil and Water Conservation. Environmental Management. 2012:1–17. doi: 10.1007/s00267-012-9818-5
51. Keramitsoglou I, Kiranoudis CT, Sarimveis H, Sifakis N. A Multidisciplinary Decision Support System for Forest Fire Crisis Management. Environmental Management. 2004; 33(2):212–25. doi: 10.1007/ s00267-003-0092-4 PMID: 15285399
52. Vadrevu KP, Badarinath KVS, Eaturu A. Spatio-temporal analysis of fire events in India: implications for environmental conservation. Journal of Environmental Planning and Management. 2008; 51(6):817–32. doi: 10.1080/09640560802423657
53. Maguire DJ, Longley PA. The emergence of geoportals and their role in spatial data infrastructures. Computers, environment and urban systems. 2005; 29(1):3–14.
54. Daume S, Albert M, von Gadow K. Forest monitoring and social media–Complementary data sources for ecosystem surveillance? Forest Ecology and Management. 2014; 316(0):9–20. doi: http://dx.doi.org/10.1016/j.foreco.2013.09.004.
55. van Oort P, Hazeu G, Kramer H, Bregt A, Rip F. Social networks in spatial data infrastructures. GeoJournal. 2010; 75(1):105–18.
56. Bocher E, Neteler M, Steiniger S, Hunter AS. Free and Open Source GIS Software for Building a Spatial Data Infrastructure. Geospatial Free and Open Source Software in the 21st Century. Lecture Notes in Geoinformation and Cartography: Springer Berlin Heidelberg; 2012. p. 247–61.
57. OpenDataKit. 2012. Available: http://opendatakit.org. Accessed 17 March 2015.
58. Wulder MA, Masek JG, Cohen WB, Loveland TR, Woodcock CE. Opening the archive: How free data has enabled the science and monitoring promise of Landsat. Remote Sensing of Environment. 2012; 122:2–10.
59. Verbesselt J, Hyndman R, Newnham G, Culvenor D. Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment. 2010; 114(1):106–15. doi: 10.1016/j.rse.2009.08. 014
60. Schmitt CB, Denich M, Demissew S, Friis I, Boehmer HJ. Floristic diversity in fragmented Afromontane rainforests: Altitudinal variation and conservation importance. Applied Vegetation Science. 2010; 13 (3):291–304.
61. Aerts R, Berecha G, Honnay O. Protecting coffee from intensification. Science. 2015; 347(6218):139. doi: 10.1126/science.347.6218.139-b
62. Dresen E, DeVries B, Herold M, Verchot L, Müller R. Fuelwood Savings and Carbon Emission Reductions by the Use of Improved Cooking Stoves in an Afromontane Forest, Ethiopia. Land. 2014; 3 (3):1137. PubMed PMID: doi: 10.3390/land3031137
63. Goodchild MF. Citizens as sensors: the world of volunteered geography. GeoJournal. 2007; 69(4):211–21.
64. Bimber O, Encarnação LM, Stork A. Multi-layered architecture for sketch-based interaction within virtual environments. Computers and Graphics (Pergamon). 2000; 24(6):851–67. doi: 10.1016/s0097-8493 (00)00088-1
65. Zhu Z, Woodcock CE. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment. 2012; 118:83–94. doi: 10.1016/j.rse.2011.10.028
66. Li W, Wu Y, Mao G. WebGIS-based information system for evaluation of soil environment in prime farmland. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering. 2006; 22(8):59–63.
67. Bugs G, Granell C, Fonts O, Huerta J, Painho M. An assessment of Public Participation GIS and Web 2.0 technologies in urban planning practice in Canela, Brazil. Cities. 2010; 27(3):172–81. doi: 10.1016/ j.cities.2009.11.008
68. Renate Steinmann AK, editor Analysis of online public participatory GIS applications with respect to the differences between the US and Europe. 24th urban data management symposium; 2004.
69. Pôças I, Gonçalves J, Marcos B, Alonso J, Castro P, Honrado JP. Evaluating the fitness for use of spatial data sets to promote quality in ecological assessment and monitoring. International Journal of Geographical Information Science. 2014; 28(11):2356–71. doi: 10.1080/13658816.2014.924627
70. Visseren-Hamakers IJ, Gupta A, Herold M, Peña-Claros M, Vijge MJ. Will REDD+ work? The need for interdisciplinary research to address key challenges. Current Opinion in Environmental Sustainability. 2012; 4(6):590–6.
71. Xin Q, Olofsson P, Zhu Z, Tan B, Woodcock CE. Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data. Remote Sensing of Environment. 2013; 135:234–47.
72. Reiche J, de Bruin S, Hoekman D, Verbesselt J, Herold M. A Bayesian Approach to Combine Landsat and ALOS PALSAR Time Series for Near Real-Time Deforestation Detection. Remote Sensing. 2015; 7(5):4973–96.
73. Assunção J, Gandour C, Rocha R. DETERring deforestation in the Brazilian Amazon: environmental monitoring and law enforcement. 2014.
74. Souza CM Jr, Pereira K, Lins V, Haiashy S, Souza D. Web-oriented GIS system for monitoring, conservation and law enforcement of the Brazilian Amazon. Earth science informatics. 2009; 2(4):205–15.
75. Börner J, Kis-Katos K, Hargrave J, König K. Post-Crackdown Effectiveness of Field-Based Forest Law Enforcement in the Brazilian Amazon. PLoS ONE. 2015; 10(4):e0121544. doi: 10.1371/journal.pone. 0121544 PMID: 25875656
76. Getahun K, Van Rompaey A, Van Turnhout P, Poesen J. Factors controlling patterns of deforestation in moist evergreen Afromontane forests of Southwest Ethiopia. Forest Ecology and Management. 2013; 304:171–81.
77. Diga M, Kelleher T. Social media use, perceptions of decision-making power, and public relations roles. Public Relations Review. 2009; 35(4):440–2.
78. Balderas Torres A, Skutsch M. Splitting the Difference: A Proposal for Benefit Sharing in Reduced Emissions from Deforestation and Forest Degradation (REDD+). Forests. 2012; 3(1):137–54. PubMed PMID: doi: 10.3390/f3010137
79. Boissière M, Beaudoin G, Hofstee C, Rafanoharana S. Participating in REDD+ Measurement, Reporting, and Verification (PMRV): Opportunities for Local People? Forests. 2014; 5(8):1855–78. PubMed PMID: doi: 10.3390/f5081855
80. Sassi CD, Joseph S, Bos AB, Duchelle AE, Ravikumar A, Herold M. Towards integrated monitoring of REDD+. Current Opinion in Environmental Sustainability. 2015; 14:93–100.
81. Drusch M, Del Bello U, Carlier S, Colin O, Fernandez V, Gascon F, et al. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services. Remote Sensing of Environment. 2012; 120 (0):25–36. doi: http://dx.doi.org/10.1016/j.rse.2011.11.026.
82. Moore R, Hansen M, editors. Google Earth Engine: a new cloud-computing platform for global-scale earth observation data and analysis. AGU Fall Meeting Abstracts; 2011.
83. Biezen JV. An offline ‘Geo-Fence’ application: the development of a citizen science mobile application for REDD+ monitoring. M.Sc. thesis,Geographical Information Management and Applications (GIMA), Utrecht University, Utrecht, The Netherlands 2015.