Sunday, 31 August 2014

[ANFES] 2014-08-31 NRMI: This Issue: Remote Sensing and Forest Certification and Some Other Good Things


This Issue: Remote Sensing and Forest Certification and Some Other Good Things.

REMOTE SENSING AND FOREST CERTIFICATION – How can one use remote sensing to verify forest certification? Here are some sites that may be of interest.

Auzel, Philippe, 2003. Real time monitoring of logging activity using remote sensing. 35 p.

Brusilovskaya, Ekaterina; Karpachevskiy, Michail. 2012. Use of Remote Sensing in Forest Certification in Russia. 26 slides.

Campbell, Joel. 2013? Of remote sensing, climate monitoring and carbon markets

Cllini, Corrado et al. 2003. Land Use Change Monitoring in the framework of the UNFCCCC and its Kyoto Protocol. Report on Current Capabilities of Satellite Remote Sensing Technology  48 p.

Fagan Matthew; DeFries, Ruth. 2009. Monitoring of the World's Forests A Review and Summary of Remote Sensing Technical Capability, 2009–2015. RFF Report. 129 p.

FOR. N.d. 2011. Forest inventory and monitoring quality. 10 p.

Fortunate, Muyambi. 2014. Use of Earth Observation in climate change mitigation assessment in forest ecosystems (REDD+) in the IGAD region. 1 p.

Franklin, Steven E. 2001.Remote Sensing for Sustainable Forest CRC Press.

Griscom, B., et al. 2009. The Hidden Frontier of Forest Degradation: A Review of the Science, Policy and Practice of Reducing Degradation Emissions. The Nature Conserv. Arlington, VA. 64 p.

Holmgren, P. et al. 2007. Forest monitoring and assessment for climate change reporting: partnerships, capacity building and delivery. FAO Forest Resources Assessment Working Paper 142

Keonuchan, Ammala; Liu, Yaolin. 2008. Application of remote sensing and GIS techniques for forest cover monitoring in the southern part of Laos. Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854V. Abstract.

Levitt, James N. 2006. Conservation via Satellite - Leveraging Remote Sensing to Monitor the Pingree Easement. Innovataions.44 p.

Meijaard, E. et al. 2005. Life After Logging: Reconciling Wildlife Conservation and Production Forestry in Indonesian Borneo. CIFOR. 345 p.

Neugarten, Rachel A. et al. 2011. Integrating Ecological and Socioeconomic Monitoring of Working Forests. BioScience 61(8): 631-637.

Olsson, Håkan ed. 2005. Proceedings of ForestSat 2005. Borås May 31 - June 3. Rapport 8c. 143 p.

Potapov, P. et al. 2008. Mapping the world's intact forest landscapes by remote sensing. Ecology and Society 13(2): 51.

Salaml, Avobami T.; Akinyede, Joseph. 2006. Space Technology for Monitoring & Managing Forest in Nigeria. 47 slides.

 Salvini, Giulia. 2014 Assessing REDD+ effectiveness outside forests: What role for monitoring systems? Research Climate Change.

Sharifi, M.A.; Hussin, Y. n.d. Development of effective information systems supporting monitoring and certification process of production forest in Indonesia: concept and progress. . International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 34(XXX). 5 p.

Sharifi, M.A.; Hussin, Y. n.d. Remote sensing and GIS application to support effective monitoring and certification process of production forest in Indonesia. Abstract.

Solberg, Rune et al. .2008. State of the art for tropical forest monitoring by remote sensing. Rep.1020.76 p.

Sugardiman, Ruandha Agung. 2007. Spaceborne radar monitoring of forest fires and forest cover change. A case study in Kalimantan. Thesis. 204 p.

Vauthier, Valerie. n.d. Independent Monitoring of Forest Law Enforcement and Governance (IM-FLEG) & Timber Legality Verification Systems within VPAs Independent Monitoring. REM. 4 p.

Verma, Shailu; Vlosky, Richard P. 2001. Using The Internet to Bring Remote Sensing to Your Desktop. Working Paper 48. 5 p.

Watson, Robert T. et al. 2000. Land Use, Land-Use Change and Forestry. IPCC. 375 p.

Wertz-Kanounniko­, Sheila. 2008. Monitoring forest emissions - A review of methods. CIFOR Working Paper. No. 39.19 p.

Why use remote sensing for mapping forest changes? 33 slides.

Wiens, John et al. 2009. Selecting and conserving lands for biodiversity: The role of remote sensing. U.S. Air Force Research. Paper 31. 14 p.

World Bank. 2008? Chapter 7: Monitoring and information systems for forest management. 38 p.

Zimmerer, Karl S. ed. 2006. Globalization and New Geographies of Conservation. 400 p. Abstract.


Tischew, S., et al. 2014. How to develop native plant communities in heavily altered ecosystems: examples from large-scale surface mining in Germany. Appl. Veg. Sci. 17(2):288-301. Abstract.

USFWS. 2014. Wetlands Mapper.

van Kuijk, et al. 2009. Effects of forest certification on biodiversity. Tropenbos International. 108 p.

Van Rees, C.B.; Reed, J.M. 2014. Wetland loss in Hawai'i since human settlement. Wetlands 34(2):335-350.

Villa, F., et al. 2014. New perspectives in ecosystem services science as instruments to understand environmental securities. Philos. Trans. R. Soc. London. [Biol.] 369(1639):20120286

Villard, M.A.; Metzger, J.P. 2014. Beyond the fragmentation debate: a conceptual model to predict when habitat configuration really matters. J. Appl. Ecol. 51(2):309-318. Abstract.

Visualising fishing harvest data with LINZ's Data Service

Warman, R.D. 2014. Global wood production from natural forests has peaked. Biodivers. Conserv. 23(5):1063-1078.

Watson, Amanda. 2014. Canned lion hunting 'is legitimate'. The Citizen.

Whitehead, A.L., et al. 2014.Removal of livestock alters native plant and invasive mammal communities in a dry grassland-shrubland ecosystem. Biol. Invasions 16(5):1105-1118.'

Whitmarsh, S.K., et al. 2014. Nektonic assemblages determined from baited underwater video in protected versus unprotected shallow seagrass meadows on Kangaroo Island, South Australia. Mar. Ecol. Progr. Ser. 503:205-218. Abstract.

Winder, V.L., et al. 2014. Effects of wind energy development on survival of female greater prairie-chickens. J. Appl. Ecol. 51(2):395-405. Abstract.

Wood, C.L., et al. 2014. Does biodiversity protect humans against infectious disease? Ecology 95(4):817-832. Abstract.

Yoshioka, A., et al. T. 2014. Spatial prioritization for biodiversity restoration: simple framework referencing past species distributions. Restor. Ecol. 22(2):185-195. Abstract.

Zhai, D.L., et al. 2014. Increasing tree cover while losing diverse natural forests in tropical Hainan, China. Reg. Environ. Change 14(2):611-621. Abstract.

Zinner, D., et al. 2014. Analysis of deforestation patterns in the central Menabe, Madagascar, between 1973 and 2010. Reg. Environ. Change 14(1):157-166.

KEEPING UP-TO-DATE – PRODUCTS, NEWSLETTERS, EMAIL LISTS, JOURNALS. See also,, and Directory of Open Access Journals.


24 September 2014. Colloquium on Forests and Climate – New Thinking for Transformational Change. New York. Free. See From Steve Hunter, Geoshunter.

16 September-14 October 2014. Introduction to NASA Earth Science Data Products, Portals, and Tools. NASA Webionar. This will be a 5 session, 1 hour webinar series running from Tuesday September 16th, - October 14th. Register at From Artur Gil, Applied GIS RS List.

MOVING AHEAD – OPPORTUNITIES – See also: Scholarships-Positions, Forestry, Arboriculture, Agriculture, Agronomy & Natural Resource Management Jobs at, Riley Guide to Agriculture, Forestry, & Farming Jobs, Forestry Careers & Degrees: A Guide for Students - ; Finding Your Dream Job in Natural Resources, The Job Seekers Guide for International and Environmental Careers and Scholarship Listing

Research Assistantship In Forest Inventory Plot Design - Duke University is seeking candidates for a 1-year position as a Post-doctoral Researcher or Associate in Research with skills in remote sensing relating to forest inventory. The position is based in Newtown Square, PA with the USDA Forest Service, Northern Research Station ( The candidate will contribute to a research project in support of the US government's SilvaCarbon program ( The goal of the research project is to assess the effects of forest inventory plot design on both inventory efficiency and training data efficacy for remotely sensed image classification. This research will support the US government's commitment to contribute to scientific advances in the field of Measurement, Reporting and Verification (MRV) of carbon stocks as part of the United Nations REDD program. Specific tasks will include: 1. Pre-processing GIS data in both raster and vector formats (including LiDAR datasets, Landsat and other high resolution imagery, shape file and other vector formats) 2. Spatially integrating these datasets with existing ground plot data 3. Constructing simulations and other statistical summaries and analyses that assess the effects of various plot and sample design combinations on inventory estimates and their precision, on remotely sensed image classification accuracy, and on overall inventory efficiency under different design scenarios that integrate remote sensing and ground plot data. The goal of the project is to develop publications, workflows, and technical material that not only contributes to the science of resource monitoring, but also supports capacity building in partner countries. Required skills: A MSc or PhD (preferred, but not required) in a natural resource-related field, and: 1. Proficiency in GIS software (ArcGIS or similar) to view, manipulate and process both vector and raster data (examples include use of Python scripting for automation, map algebra calculations, tabular and zone-based summarization tools, use of projection methods for both raster and vector data, and basic cartographic skills). 2. Strong knowledge of graduate-level statistics (examples include the ability to generate calculations of estimates of population parameters from a dataset, generation of descriptive statistics, ability to summarize large datasets using automation tools and cross tabulations). 3. Practical knowledge of computer software (such as R, SAS, Microsoft Excel (with VBA for coding) or Python) including the ability to perform the operations listed in (2), in addition to batch processing 4. Proficiency in both written and spoken English. Desired skills: 1. Knowledge of sampling and forest inventory statistics. 2. Knowledge of forestry 3. Knowledge of image classification principles and software (Erdas Imagine) Start date: As soon as the candidate is available. Salary will depend on the education level and experience of the candidate. Please submit a copy of your resume or CV, a brief cover letter addressing your skills in relation to the above requirements, names and contact information of three references, and a photocopy of your latest graduate level university transcript. Contact info: Andrew Lister,, 610.557.4038. From Chip Scott, USFS.

NEXT ISSUE: Ground-Based Logging, Skid Trails, Roads, and Firebreaks Impacts on Soil

 Pay It Forward – Cheers, Gyde

--   H. Gyde Lund    Forest Information Services  6238 Settlers Trail Place  Gainesville, VA 20155-1374 USA  Tel: +1-703-743-1755  Email: gyde<at>    CV:   Publications:   Skype: forestgyde   

Saturday, 30 August 2014

FW: 38 civil society representatives selected to participate in UN Climate Summit




38 civil society representatives selected to participate in UN Climate Summit



Dear Colleagues,


At the request of the UN Secretary-General's Climate Change Support Team, the United Nations Non-Governmental Liaison Service (UN-NGLS) issued an open call in seven languages for nominations of civil society speakers and attendees for the 2014 UN Climate Summit. 544 nominees were submitted from 115 countries. Between 16-25 August, UN-NGLS facilitated a civil society Selection and Drafting Committee to review all nominees. The Committee short-listed 76 candidates for consideration by the Secretary-General's Climate Change Support Team (CCST). From this list of 76 candidates, the CCST has now selected 4 speakers and 34 attendees to receive invitations to the Climate Summit in the following categories:

  1. One speaker in the opening ceremony
  2. Three panellists for the Thematic Debate "Voices from the Front Lines of Climate Change," organized by UNICEF, UN Women and UNFPA
  3. Thirty-four additional attendees.

The list of 38 civil society representatives selected for these roles  

in the Summit, along with a complete description of the  

nomination process, is now available here:


More than 100 Heads of State and Government will attend the 23 September Climate Summit, along with representatives of civil society, business and local leaders. Through this Summit, the UN Secretary-General aims to catalyze new, substantial, scalable, and replicable commitments by all stakeholders to help the world shift toward a low-carbon economy. The Climate Summit is not part of the UN Framework Convention on Climate Change negotiating process, but is complementary to it. The Secretary-General intends for the Summit to mobilize political will toward an ambitious legal agreement by 2015, and enable sustained progress on reducing emissions and strengthening resilience and adaptation strategies.

Thank you very much to all who participated in the UN-NGLS nomination process to identify civil society participants in the Summit.  


Best regards,



United Nations Non-Governmental Liaison Service (UN-NGLS)

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Thursday, 28 August 2014

SciDev.Net weekly update: Climate-related SDGs, and more



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