Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Pete Watt"'
Autor:
Michael S. Watt, Andrew Holdaway, Pete Watt, Grant D. Pearse, Melanie E. Palmer, Benjamin S. C. Steer, Nicolò Camarretta, Emily McLay, Stuart Fraser
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1401 (2024)
Red needle cast (RNC), mainly caused by Phytophthora pluvialis, is a very damaging disease of the widely grown species radiata pine within New Zealand. Using a combination of satellite imagery and weather data, a novel methodology was developed to pr
Externí odkaz:
https://doaj.org/article/c3787cbd8d124458b875a2f0abc30c00
Autor:
Sandra Brown, Abu R. J. Mahmood, Katherine M. Goslee, Timothy R. H. Pearson, Hansrajie Sukhdeo, Daniel N. M. Donoghue, Pete Watt
Publikováno v:
Forests, Vol 11, Iss 12, p 1307 (2020)
Background and Methods: Degradation of forests in developing countries results from multiple activities and is perceived to be a key source of greenhouse gas emissions, yet there are not reliable methodologies to measure and monitor emissions from al
Externí odkaz:
https://doaj.org/article/f10f4eea97924b22b9850ebddbafd2c3
Autor:
Nikolaos Galiatsatos, Daniel N.M. Donoghue, Pete Watt, Pradeepa Bholanath, Jeffrey Pickering, Matthew C. Hansen, Abu R.J. Mahmood
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1790 (2020)
Global Forest Change datasets have the potential to assist countries with national forest measuring, reporting and verification (MRV) requirements. This paper assesses the accuracy of the Global Forest Change data against nationally derived forest ch
Externí odkaz:
https://doaj.org/article/dba544f0d62346e986a5772ef1cb817b
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W11, Pp 147-154 (2020)
In 2010 Guyana started work on the development of a national Monitoring Reporting and Verification System (MRVs) to quantify and measure the changes in the country’s forest cover carbon and carbon emissions. A necessary part of this process involve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b78c893fb38622eb20add4106981a4a
https://doi.org/10.5194/isprs-archives-xlii-3-w11-147-2020
https://doi.org/10.5194/isprs-archives-xlii-3-w11-147-2020
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W11, Pp 131-136 (2020)
Shifting cultivation is an agricultural practice that is the basis of subsistence for the Indigenous population in Guyana and has impacted on a total forest area of 13,922ha to varying degrees of impact on forest carbon. Generally, within these commu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51dc3ee1098889db9def6e30e6c83d93
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W11/131/2020/isprs-archives-XLII-3-W11-131-2020.pdf
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W11/131/2020/isprs-archives-XLII-3-W11-131-2020.pdf
Autor:
Stephen V. Stehman, Samuel M. Jantz, Peter Potapov, Matthew C. Hansen, Jeffrey Pickering, P. Bholanath, Pete Watt, Alexandra Tyukavina
Publikováno v:
Remote Sensing of Environment. 221:122-135
Guyana is a high forest cover, low deforestation country. Since 2011–2014 the Guyana Forestry Commission (GFC) has used visual interpretation of 5 m resolution RapidEye imagery to map forest loss and nearby degradation for the entire country. Accor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85abb1d01d16f002169f31c6af9be81d
https://doi.org/10.1016/j.rse.2018.11.018
https://doi.org/10.1016/j.rse.2018.11.018
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W11, Pp 43-50 (2020)
The Guyana Forestry Commission’s (GFC) Monitoring, Reporting and Verification System (MRVS) is a combined Geographic Information System (GIS) and field-based monitoring system, which has underpinned the conducting of a historical assessment of fore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d00b3586b8333a553b88dbad9c2e0936
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W11/43/2020/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W11/43/2020/
Publikováno v:
Forestry. 89:159-169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::029c1fff64de8a4e9c18c935b2ac1e6d
https://doi.org/10.1093/forestry/cpv048
https://doi.org/10.1093/forestry/cpv048
Publikováno v:
Forest Ecology and Management. 357:1-9
Site Index (SI) is one of the main measures of forest productivity used throughout the world. For even-age plantations Site Index is defined as the height of dominant trees at a given reference age. Site Index is normally determined from field measur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dbc67528ff0afd948869ddd1a2f7ed7
https://doi.org/10.1016/j.foreco.2015.08.001
https://doi.org/10.1016/j.foreco.2015.08.001
Autor:
Pete Watt, Daniel N.M. Donoghue, P. Bholanath, Abu R. J. Mahmood, Nikolaos Galiatsatos, Jeffrey Pickering, Matthew C. Hansen
Publikováno v:
Remote Sensing, Vol 12, Iss 1790, p 1790 (2020)
Remote sensing, 2020, Vol.12(11), pp.1790 [Peer Reviewed Journal]
Remote Sensing; Volume 12; Issue 11; Pages: 1790
Remote sensing, 2020, Vol.12(11), pp.1790 [Peer Reviewed Journal]
Remote Sensing; Volume 12; Issue 11; Pages: 1790
Global Forest Change datasets have the potential to assist countries with national forest measuring, reporting and verification (MRV) requirements. This paper assesses the accuracy of the Global Forest Change data against nationally derived forest ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4693ec0d40cb27fad6294ab3aaeb025b
https://doi.org/10.3390/rs12111790
https://doi.org/10.3390/rs12111790