干旱区生态环境知识资源中心(Arid): Integrating Remote Sensing and Machine Learning for Regional-Scale Habitat Mapping: Advances and Future Challenges for Desert Locust Monitoring

Arid

DOI	10.1109/MGRS.2021.3097280
	Integrating Remote Sensing and Machine Learning for Regional-Scale Habitat Mapping: Advances and Future Challenges for Desert Locust Monitoring
	Rhodes, Kristen; Sagan, Vasit
通讯作者	Rhodes, K (corresponding author), St Louis Univ, Geospatial Inst, St Louis, MO 63108 USA. ; Rhodes, K (corresponding author), St Louis Univ, Dept Earth & Atmospher Sci, St Louis, MO 63108 USA.
来源期刊	IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
ISSN	2473-2397
EISSN	2168-6831
出版年	2021-11
英文关键词	Remote sensing Data models Biological system modeling Predictive models Machine learning Vegetation mapping Temperature measurement
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000732240700001
WOS关键词	LAND-SURFACE TEMPERATURE ; SOIL-MOISTURE ; SPECIES DISTRIBUTIONS ; EARTH OBSERVATION ; VEGETATION ; VALIDATION ; ABSENCES ; AFRICA ; MODELS ; RISKS
WOS类目	Geochemistry & Geophysics ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/374588
作者单位	[Rhodes, Kristen; Sagan, Vasit] St Louis Univ, Geospatial Inst, St Louis, MO 63108 USA; [Rhodes, Kristen; Sagan, Vasit] St Louis Univ, Dept Earth & Atmospher Sci, St Louis, MO 63108 USA
推荐引用方式 GB/T 7714	Rhodes, Kristen,Sagan, Vasit. Integrating Remote Sensing and Machine Learning for Regional-Scale Habitat Mapping: Advances and Future Challenges for Desert Locust Monitoring[J],2021.
APA	Rhodes, Kristen,&Sagan, Vasit.(2021).Integrating Remote Sensing and Machine Learning for Regional-Scale Habitat Mapping: Advances and Future Challenges for Desert Locust Monitoring.IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE.
MLA	Rhodes, Kristen,et al."Integrating Remote Sensing and Machine Learning for Regional-Scale Habitat Mapping: Advances and Future Challenges for Desert Locust Monitoring".IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2021).