Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Frederic Achard"'
Autor:
Yosio Edemir Shimabukuro, Jukka Miettinen, Rene Beuchle, Rosana Cristina Grecchi, Dario Simonetti, Frederic Achard
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 8, Iss 9, Pp 4502-4508 (2015)
This paper presents a new approach for estimating burned areas at a regional scale, using a systematic sample of medium spatial resolution satellite images. This approach is based on a pan-tropical deforestation survey developed by the Joint Research
Externí odkaz:
https://doaj.org/article/18f614c387a2437da6364ddefff33990
Autor:
Astrid Verhegghen, Hugh Eva, Guido Ceccherini, Frederic Achard, Valery Gond, Sylvie Gourlet-Fleury, Paolo Omar Cerutti
Publikováno v:
Remote Sensing, Vol 8, Iss 12, p 986 (2016)
In this study, the recently launched Sentinel-2 (S2) optical satellite and the active radar Sentinel-1 (S1) satellite supported by active fire data from the MODIS sensor were used to detect and monitor forest fires in the Congo Basin. In the context
Externí odkaz:
https://doaj.org/article/900d5ce8daad44a0b77c71ddd875c047
Autor:
Frederic Achard, Matthew C. Hansen
Covering recent developments in satellite observation data undertaken for monitoring forest areas from global to national levels, this book highlights operational tools and systems for monitoring forest ecosystems. It also tackles the technical issue
Autor:
Ivan Baxter, Frederic Achard, George G. Harrigan, Atsushi Fukushima, Miyako Kusano, Denise J. Bouvrette, Kazuki Saito, Andrew R. Jakubowski, Joan M. Ballam, Akira Oikawa, Angela Hendrickson Culler, Jonathan Robert Phillips, Ryo Nakabayashi, Yozo Okazaki
Publikováno v:
Metabolomics. 11:261-270
Information on crop genotype- and phenotype-metabolite associations can be of value to trait development as well as to food security and safety. The unique study presented here assessed seed metabolomic and ionomic diversity in a soybean lineage repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4c2c43f5434302ec738e20d1e9f26fc
https://doi.org/10.1007/s11306-014-0702-6
https://doi.org/10.1007/s11306-014-0702-6
Autor:
Oliver T. Coomes, Thomas Rudel, Frederic Achard, Eric F. Lambin, Emilio F. Moran, Arild Angelsen, Jianchu Xu
Publikováno v:
Global Environmental Change. 15:23-31
Places experience forest transitions when declines in forest cover cease and recoveries in forest cover begin. Forest transitions have occurred in two, sometimes overlapping circumstances. In some places economic development has created enough non-fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d0e6fefdd197399e5b50fb1968a00f1
https://doi.org/10.1016/j.gloenvcha.2004.11.001
https://doi.org/10.1016/j.gloenvcha.2004.11.001
Autor:
Olga Danylo, Johannes Pirker, Guido Lemoine, Guido Ceccherini, Linda See, Ian McCallum, Hadi, Florian Kraxner, Frédéric Achard, Steffen Fritz
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-8 (2021)
Measurement(s) 2-D extent • age Technology Type(s) Classification Factor Type(s) input dataset Sample Characteristic - Organism Elaeis guineensis Sample Characteristic - Environment oil palm plantation Sample Characteristic - Location Southeast Asi
Externí odkaz:
https://doaj.org/article/5f6631938e854482bb1a889dcef2dbe3
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1522 (2022)
High-resolution Earth observation data is routinely used to monitor tropical forests. However, the seasonality and openness of the canopy of dry tropical forests remains a challenge for optical sensors. In this study, we demonstrate the potential of
Externí odkaz:
https://doaj.org/article/689c4007b32f4cb1b254077586db630c
Autor:
Olga Danylo, Johannes Pirker, Guido Lemoine, Guido Ceccherini, Linda See, Ian McCallum, Hadi, Florian Kraxner, Frédéric Achard, Steffen Fritz
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/09d6b32fd8874ae1b33dac7929e5a27a
Autor:
Andreas Langner, Frédéric Achard, Christelle Vancutsem, Jean-Francois Pekel, Dario Simonetti, Giacomo Grassi, Kanehiro Kitayama, Mikiyasu Nakayama
Publikováno v:
Land, Vol 4, Iss 3, Pp 656-669 (2015)
This study investigates how two existing pan-tropical above-ground biomass (AGB) maps (Saatchi 2011, Baccini 2012) can be combined to derive forest ecosystem specific carbon estimates. Several data-fusion models which combine these AGB maps according
Externí odkaz:
https://doaj.org/article/b58fc51cfdd54f1dba57875e0cba730b