Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Jacqueline LeMoigne"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030617240
DDDAS
DDDAS
NASA’s Earth Science Technology Office (ESTO) is prioritizing a “New Observing Strategy” to help mitigate the risk, cost, size and development time of future Earth Science missions and their corresponding information systems and to increase the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c8f0d1efb6ddb1b779c65151e403804
https://doi.org/10.1007/978-3-030-61725-7_2
https://doi.org/10.1007/978-3-030-61725-7_2
Autor:
Edward J. Kim, Sujay V. Kumar, Sreeja Nag, Jacqueline Lemoigne-Stewart, Bryan Blair, Barton A. Forman, Michelle Hofton, Lizhao Wang, Carrie M. Vuyovich
Publikováno v:
IGARSS
Seasonal snow on land is an important factor in water resources, natural disasters, water security, and weather and climate. While many types of sensors are sensitive to snow water equivalent or snow depth, no single sensor type works across the rang
Autor:
Marge Cole, Dan Crichton, Michael M. Little, Jacqueline LeMoigne-Stewart, Michael Seablom, Brandi Quam
Publikováno v:
IGARSS
The demonstration of high quality scientific observations from small satellites has signaled the opportunity to employ new Earth science observing strategies using constellations or swarms of these relatively inexpensive platforms. While replacement
Publikováno v:
Other univ. web domain
Distributed Space Missions (DSMs) are gaining momentum in their application to earth science missions owing to their unique ability to increase observation sampling in angular, spatial, spectral and temporal dimensions simultaneously. DSM architectur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe71e4ced2397e12f446e50223d01bed
https://orcid.org/0000-0001-6677-383X
https://orcid.org/0000-0001-6677-383X
Publikováno v:
2014 IEEE Aerospace Conference.
Distributed Space Missions (DSMs) are gaining momentum in their application to Earth science missions owing to their ability to increase observation sampling in spatial, spectral, temporal and angular dimensions. Past literature from academia and ind
Publikováno v:
Future Generation Computer Systems. 17:467-476
Genetic algorithms (GAs) are known to be robust for search and optimization problems. Image registration can take advantage of the robustness of GAs in finding best transformation between two images, of the same location with slightly different orien
Autor:
Iii. W.B. Ligon, Nathan S. Netanyahu, Robert F. Cromp, James C. Tilton, K. Wichmann, Jacqueline LeMoigne, G. Fekete, William J. Campbell, Nicholas M. Short
Publikováno v:
IEEE Expert. 10:24-34
In the late 1990s, NASA will launch a series of satellites to study the Earth as a dynamic system. The enormous size and complexity of the resulting data holdings pose several challenges and promise to test the limits of practical AI techniques.
Publikováno v:
Land Change Science ISBN: 9789400743069
Characterizing and mapping land cover and land use change in the rain forests of Central African is a complex process. This complexity is marked by the diversity of land use practices across six different countries (Cameroon, Central African Republic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45eca69d5aadf8ac959603a046881287
https://doi.org/10.1007/978-1-4020-2562-4_6
https://doi.org/10.1007/978-1-4020-2562-4_6
Publikováno v:
IGARSS
The next generation of Earth-observing spacecraft are likely to generate enormous volumes of data. A major challenge lies in the conversion of these mountains of data into information useful to researchers and other users. Hierarchical segmentation i