Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Anthony M Filippi"'
Autor:
Elise Varaela Voltura, James L Tracy, J Jill Heatley, Simon Kiacz, Donald J Brightsmith, Anthony M Filippi, Jesús G Franco, Robert Coulson
Publikováno v:
PLoS ONE, Vol 18, Iss 12, p e0294118 (2023)
Texas Rio Grande Valley Red-crowned Parrots (Psittaciformes: Amazona viridigenalis [Cassin, 1853]) primarily occupy vegetated urban rather than natural areas. We investigated the utility of raw vegetation indices and their derivatives as well as elev
Externí odkaz:
https://doaj.org/article/39b51a39a15a4d278ea7454dffcece59
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0201255 (2018)
A simple approach to enable water-management agencies employing free data to create a single set of water quality predictive equations with satisfactory accuracy is proposed. Multiple regression-derived equations based on surface reflectance, band ra
Externí odkaz:
https://doaj.org/article/9f98ec9a6c41466eaec741de49eacb85
Autor:
Anthony M. Filippi, İnci Güneralp, Cesar R. Castillo, Andong Ma, Gernot Paulus, Karl-Heinrich Anders
Publikováno v:
Land, Vol 11, Iss 2, p 246 (2022)
Riparian forests are critical for carbon storage, biodiversity, and river water quality. There has been an increasing use of very-high-spatial-resolution (VHR) unmanned aircraft systems (UAS)-based remote sensing for riparian forest mapping. However,
Externí odkaz:
https://doaj.org/article/5c03797385f1457c9fe764d1fbefcdb2
Autor:
Vijay Guleria, Eric A. Coleman, Harry W. Fischer, Anthony M. Filippi, Vijay Ramprasad, Pushpendra Rana, Rajesh Rana, Forrest Fleischman, Andong Ma, Claudia Rodriguez Solorzano, Bill Schultz, Burak Güneralp
Publikováno v:
Nature Sustainability. 4:997-1004
Many countries have adopted large-scale tree planting programmes as a climate mitigation strategy and to support local livelihoods. We evaluate a series of large-scale tree planting programmes using data collected from historical Landsat imagery in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61d787a7c3dd56a0b508234f1050cd8e
https://doi.org/10.1038/s41893-021-00761-z
https://doi.org/10.1038/s41893-021-00761-z
Autor:
Da Huo, Andong Ma, Burak Güneralp, Anthony M. Filippi, Xiao Li, Zhengcong Yin, Zhangyang Wang
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 59:5920-5937
Classification is a critical, widely employed type of hyperspectral image (HSI) processing. Recently, deep learning models have been attracting more attention within the hyperspectral remote-sensing community due to their improved classification perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ec5271e77fe957866f28a44af8eeca
https://doi.org/10.1109/tgrs.2020.3018449
https://doi.org/10.1109/tgrs.2020.3018449
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 194 (2019)
Classification is a common objective when analyzing hyperspectral images, where each pixel is assigned to a predefined label. Deep learning-based algorithms have been introduced in the remote-sensing community successfully in the past decade and have
Externí odkaz:
https://doaj.org/article/4d96579c01ef41a9943ebd8b984e4f1d
Publikováno v:
Remote Sensing, Vol 9, Iss 8, p 850 (2017)
Accurate characterization of the direction of land change is a neglected aspect of land dynamics. Knowledge on direction of historical land change can be useful information when understanding relative influence of different land-change drivers is of
Externí odkaz:
https://doaj.org/article/f66add4e94154d65837140f1208adac0
Autor:
Andong Ma, Anthony M. Filippi
Publikováno v:
IGARSS
Recurrent neural networks (RNNs) have been investigated and utilized as classification model in the hyperspectral remote-sensing community due to its great capability of encoding sequential features, especially for multi-temporal images. For non-temp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd4c6d4752ef84fe103b1ab93f73d6ba
https://doi.org/10.1109/igarss39084.2020.9323594
https://doi.org/10.1109/igarss39084.2020.9323594
Publikováno v:
Science of The Total Environment. :1259-1271
A fundamental premise of the Millennium Ecosystem Assessment is that biodiversity and ecosystem services are key determinants of long-term sustainability of social-ecological systems. With a continuing decline in local and global biodiversity and eco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c7717ea1ea1c1deeeb9f1f2654d86eb
https://doi.org/10.1016/j.scitotenv.2017.10.302
https://doi.org/10.1016/j.scitotenv.2017.10.302