[Forest-list] 2016-11-20 NRMI: NATURAL RESOURCE MONITORING ITEMS OF INTEREST

Sun Nov 20 13:20:42 EET 2016

*2016-11-20****NRMI: NATURAL RESOURCE MONITORING ITEMS OF INTEREST*

*WHILE SURFING THE WEB*

AgriLife Research. 2016.*What’s new and what’s next in remote sensing* 
<http://agriliferesearch.tamu.edu/2016/06/01/whats-new-and-whats-next-in-remote-sensing/>. 
1 June. Texas A&M AgriLife Research

Ceccon E ; Perez DR (Coords.) 2016.***Más allá de la ecología de la 
restauración: perspectivas sociales en América Latina y el Caribe.* 
<http://www.siacre.com.co/articulos/02.pdf>Vazquez Mazzini Editores, 
Argentina 384 p. From Eliane Ceccon, UNAM.

Shaffer, M.J.; Bishop, J.A. 2016. *Predicting and preventing elephant 
poaching incidents through statistical analysis, GIS-based risk 
analysis, and aerial surveillance flight path modeling.* 
<https://gis.e-education.psu.edu/sites/default/files/capstone/Shaffer_596Bpaper_20160501.pdf>**/Trop. 
Conserv. Sci./9(1):525-548

Sterenczak, Krzyszrof et al. 2016. *Comparison of various algorithms for 
DTM interpolation from LIDAR data in dense mountain forests* 
<https://www.researchgate.net/publication/309430037_Comparison_of_various_algorithms_for_DTM_interpolation_from_LIDAR_data_in_dense_mountain_forests>. 
European Journal of Remote Sensing 49:599-621. DOI: 10.5721/EuJRS20164932

Sulieman, H.M.; Buchroithner, M.F. 2006? *Assessment of Natural 
Vegetation Clearing and Re-Growth in Southern Gadarif (Sudan) Using 
Change Vector Analysis Based on Remote Sensing and Field Data* 
<http://www.isprs.org/proceedings/XXXVI/part7/PDF/003.pdf>. 6 p.

Tan, Minghong; Li, Xiubin. 2015. *Does the Green Great Wall effectively 
decrease dust storm intensity in China? A study based on NOAA NDVI and 
weather station data.* 
<http://www.sciencedirect.com/science/article/pii/S0264837714002348>Land 
Use Policy. 43: 42-47. From Steve Hunter, Geohunter.

Tarrant, J., et al. 2016. *Do public attitudes affect conservation 
effort? Using a questionnaire-based survey to assess perceptions, 
beliefs and superstitions associated with frogs in South Africa.* 
<http://www.bioone.org/doi/abs/10.1080/15627020.2015.1122554?journalCode=afzo>**/Afr. 
Zool./51(1):13-20

Thurstan, R.H., et al. 2016. *Setting the record straight: assessing the 
reliability of retrospective accounts of change* 
<http://onlinelibrary.wiley.com/doi/10.1111/conl.12184/epdf>. /Conserv. 
Lett./ 9(2):98-105.

Trisurat, Y., et al. 2016. *Integrating land use and climate change 
scenarios and models into assessment of forested watershed services in 
Southern Thailand.* 
<http://www.sciencedirect.com/science/article/pii/S0013935116300603>/Environ. 
Res./ 147:611-620.

Wessels, Konrad J. et al. 2016. *Rapid Land Cover Map Updates Using 
Change Detection and Robust Random Forest Classifiers.* 
<http://r.search.yahoo.com/_ylt=A0LEVjb26RRYb7AAC9wPxQt.;_ylu=X3oDMTByaWg0YW05BGNvbG8DYmYxBHBvcwM4BHZ0aWQDBHNlYwNzcg--/RV=2/RE=1477794423/RO=10/RU=http%3a%2f%2fwww.mdpi.com%2f2072-4292%2f8%2f11%2f888%2fpdf/RK=0/RS=a6lDRenM2_QpdlcwDn5YNkNmQRY->Remote 
sensing. doi:10.3390/rs8110888

Whitworth, A., et al. 2016. *How much potential biodiversity and 
conservation value can a regenerating rainforest provide? A 'best-case 
scenario' approach from the Peruvian Amazon.* 
<http://tropicalconservationscience.mongabay.com/content/v9/tcs_v9i1_224-245_Whitworth.pdf>/Trop. 
Conserv. Sci./ 9(1):224-245.

*KEEPING UP-TO-DATE – PRODUCTS, NEWSLETTERS, EMAIL LISTS, JOURNALS*

*Infosylva – *Issue 21/2016 now at http://www.fao.org/3/a-bl744t.pdf.

*Pay it forward – Cheers, Gyde*

**

-- 
H. Gyde Lund
Forestry Consultant
Forest Information Services
6238 Settlers Trail Place
Gainesville, VA 20155-1374 USA
Email: gyde at comcast.net

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